PhD Opportunities

Possible research topics to be undertaken in the Autonomous Systems and Connectivity Division are given below. If you are interested in any of these projects, you should email the prospective academic.

Alternatively, you are welcome to identify a different project topic within any relevant research area by emailing your project proposal to any of the Staff of the Autonomous Systems and Connectivity Division using the Our Staff link on the left panel.

The current call for scholarship applications will close on 31 January 2024.

Social-Techno-Economic Analysis of Hydrogen Integration for the Energy Transition.

Prof David Flynn

Description

The UK like many nations needs to radical reform its energy services as to support rapid decarbonization. The energy transition from decarbonization, net zero and towards sustainable solutions, must also be responsive to the needs of society, in terms of energy availability and affordability. Energy is a significant factor in both individual quality of life and prosperity, but also an integral factor in national and global inflation. Responsible Research and Innovation in the energy transition requires us to consider equity and equality in the design of future energy systems and services.

 Technically, the energy transition requires the deployment of different technologies such as heat pumps, electric vehicles or other hydrogen-based solutions for the supply of decarbonized heat, electricity or transport. Tomorrow's energy system will be a mixed energy system, with several energy carriers interacting with each other. For example, gas turbines or fuel cells for the transition from gas to electricity, electrolysers or batteries for the transition from electricity to gas or transport.

 With an emphasis on People and Place, future energy systems need to unlock capacity from existing energy infrastructure and utilize energy demand flexibility from consumer and prosumer engagement. Social-Techno-Economic modeling has been identified as weakness in UK Energy Systems Modelling by UK-ERC. To address this weakness, the PhD will explore the social and economic dynamics of consumer and prosumer perspectives and behaviours to inform the modelling. 

 In response to rising energy costs, a need to redefine energy citizenship and improve consumer agency, as well as the resilience of local, regional, and national energy services through intelligent demand response, our new understanding of the social-techno-economic modeling of hydrogen integration, into multi-vector smart local energy systems (SLES), is integral.

 Given the widespread nature of these challenges, a holistic approach is needed to address them. Although various technological solutions exist (electrochemical storage, hydrogen technologies, decentralised control of electric vehicles via Smart Charging, Smart Heating, Demand Response, energy communities, etc.), their economic viability and social acceptability still need to be analysed and improved to facilitate the energy transition.

 This PhD aims to understand the drivers for the economic and social success of a flexible, multi-vector energy system’s management solutions, especially energy systems integrating hydrogen solutions. The main outcome of the PhD will consist in the integration of social aspects into multi-agent-based models of future energy systems. This requires that the PhD candidate develops an expertise in energy, in modelling, and in social science studies.

 The research will involve social-techno-economic modelling of future multi-vector energy systems, using a multi-agent systems approach to explore new scenarios, planning and control strategies for distributed whole energy systems.  This modelling phase will include the modelling and design of new solutions for local multi-vector energy markets, and the modelling of energy flexibility strategies. In the second phase, the PhD candidate will study the factors that promote or limit the social acceptability by the residential sector of the new energy transition technologies, strategies and solutions studied and modelled in the first stage. This will be done by means of questionnaires, scenarios, focus groups and solution testing.

 Outcomes of this research will include; influence on new social-demand-response strategies, local energy market business models, and an assessment on the influence of residential flexibility on decarbonization and energy service resilience.

 The PhD student will work with other members of the Glasgow Centre for Sustainable Energy and the Digital Society and Economy (IRT). Leverage expertise in digital technologies, energy systems and social sciences.

 This PhD is funded by the University of Glasgow in support of the EPSRC National Hydrogen Integration Hub (HI-ACT).

Applicants with interests in Social Science applied to the energy transition, Integrated Energy System Modelling, Multi-Agent Modelling and Systems Engineering.

Closing Date: 15 January 2024

Start Date: 2024

How to Apply:  Please refer to the following website for details on how to apply: http://www.gla.ac.uk/research/opportunities/howtoapplyforaresearchdegree/. Please also complete a Scholarship Application via the Scholarship Portal at the following link: University of Glasgow | The Scholarships Application Portal  Please note that as this process also requires your proposed supervisor to upload a supporting letter, you should allow sufficient time to complete the application in advance of the scholarship closing date of 31 January.   

Federated Digital Twins for Resilience Modelling of Transport Infrastructure

Prof. David Flynn

Description

This PhD will explore the emergent role of Cyber Physical Infrastructure (CPI) and Federated Networks of Digital Twins in the design and validation of decarbonization strategies and resilience analysis for future transport services and infrastructure.

The roads, cables, and pipes of the UK enable goods to arrive, lights to glow, and tea to flow. As our climate changes and resources become more scarce, it is necessary to decarbonize the UK’s infrastructure and ensure it is resilient to these changes. Rapid decarbonization of our infrastructure will be dependent on de-risking and reducing uncertainty about our decarbonization strategies, as well as enabling co-design of future solutions to include transport-energy infrastructure, transportation types, and social (behavioral factors).

This research will answer “how do we validate decarbonization strategies?” by exploring concepts such as symbiotic systems of systems analysis, ontology mapping, stochastic programming, distributed and autonomous systems, federated learning, and co-simulation to map, design, and analyse the complex adaptive system which exists at the transport-energy-community nexus. Through a federated network of digital twins, we will explore optimization strategies to enable automated self-organization, resilience, and support positive behavioural change in infrastructure demand.

 As part of the EPSRC DARe consortium, this PhD will work with people and data from a range of different communities and places. We will combine knowledge and meta-data from people, with real-time data from distributed infrastructure monitoring nodes via CPI and use federated digital twins to explore “symbiotic” and assistance-based learning and reasoning to create solutions in response to changing climate patterns and user demands.

 Applicants with interests and expertise in systems engineering, digital technology, ICT/CPI , ontology, control theory and digital twins, would be highly relevant to this opportunity. The successful applicant will be affiliated with the Autonomous Systems and Connectivity Division and the Glasgow Centre for Sustainable Energy.

 In March 2023 the UK Government released its first consultation report on the UKs Cyber Physical Infrastructure:Enabling a national Cyber-Physical Infrastructure to catalyse innovation: consultation document (accessible webpage) - GOV.UK (www.gov.uk) . This studentship is an opportunity to work at the frontier of this emergent and disruptive technology in the context of critical infrastructure and decarbonization.

Closing Date: 15 January 2024

 How to Apply:  Please refer to the following website for details on how to apply for admission:

http://www.gla.ac.uk/research/opportunities/howtoapplyforaresearchdegree/. Please also complete a Scholarship Application via the Scholarship Portal at the following link: University of Glasgow | The Scholarships Application Portal  Please note that as this process also requires your proposed supervisor to upload a supporting letter, you should allow sufficient time to complete the application in advance of the scholarship closing date of 31 January.   

Modelling Flexible Nuclear Power Plant Integration in Future Low Carbon Energy Systems

Prof David Flynn and Dr. Yiji Yu

Description

The increasing penetration of intermittent renewable power within the UK energy network will require additional flexibility from conventional sources of generation, such as nuclear power plants. This flexibility is required to support the coupling of increasingly stochastic energy demand and generation patterns.  In this context, coupling nuclear reactors with hydrogen, electrical and thermal energy storage could ensure a more efficient operation of nuclear power plants, while also enabling accelerated rates of decarbonization through more flexible and cost-effective services for consumers.

 In this context, coupling nuclear reactors with hydrogen, electrical and thermal energy storage could ensure a more continuous and efficient operation of nuclear power plants, while at other times allowing their operation to become more flexible and cost-effective for consumers. In addition, such domestic generation has the potential to enhance national energy security and resilience, from the geopolitical dynamics that influence the stability of UK energy market prices.

 This PhD will explore future energy scenarios and techno-economic modelling of multi-vector services e.g., heat, electricity, and hydrogen from Nuclear Power Plant Integration (NPPI) into Whole Energy System models. Regional and UK national optimization methodologies will be explored. The total whole-system benefits of operating different reactor configurations will be quantified for several scenarios in the context of the current and future (potential) reward mechanisms within the UKs energy market. An objective of this research will be to use whole-system and multi-objective optimization analysis, coupled to multi-agent market analysis, as to understand how best to minimizes the total system costs of NPPI, and to conduct a comparative analysis of traditional nuclear power plants vs flexible NPPI.

 Learning from this PhD will enhance knowledge in areas such as; the optimal system characteristics of Nuclear Power Plants; influence of intelligent energy demand and multi-vector profile clustering, risk analysis of future NPPI, and pathways for nuclear energy within future whole system energy integration. The project will support the UK in delivering a new generation of Advanced Modular Reactors, which will help the UK meet its obligations to transition to clean energy.

 This PhD is a strategic partnership between the UKs National Nuclear Laboratory (NNL), University of Glasgow and the National Hydrogen Integration Hub (HI-ACT).

 Applicants with interests in Integrated Energy System Modelling, Energy Economics, Multi-Agent Modelling, Nuclear Energy, Whole Systems, Cyber Physical Infrastructure and Systems Engineering.

 In March 2023 the UK Government released its first consultation report on the UKs Cyber Physical Infrastructure:Enabling a national Cyber-Physical Infrastructure to catalyse innovation: consultation document (accessible webpage) - GOV.UK (www.gov.uk) . This studentship is an opportunity to work at the frontier of this emergent and disruptive technology in the context of critical infrastructure and decarbonization.

 

 How to Apply:  Please refer to the following website for details on how to apply for academic admission:http://www.gla.ac.uk/research/opportunities/howtoapplyforaresearchdegree/.Please also complete a Scholarship Application via the Scholarship Portal at the following link: University of Glasgow | The Scholarships Application Portal  Please note that as this process also requires your proposed supervisor to upload a supporting letter, you should allow sufficient time to complete the application in advance of the scholarship closing date of 31 January.   

Federated Digital Twins for Reducing Risk and Uncertainty in Hydrogen Integration.

Prof Colin McInnes

Description

The energy transition is a highly stochastic and complex problem, especially given the increasing demand to rapidly decarbonize through whole systems thinking – coupling previously independent critical infrastructure and services e.g., energy-transport networks etc. Energy networks need to unlock new network capacity as to meet growing energy demand and in response to the long lead in times in distribution and transmission network reinforcement. The integration of hydrogen into whole system-based solutions has the potential to accelerate decarbonization within traditionally hard to decarbonize sectors e.g., heavy industry, transport etc., and offer a potential solution for existing energy network constraints.

 A scalable hydrogen economy will need to be built on targeted hydrogen decarbonization interventions. Ensuring that the hydrogen production method(s) deliver scalable, affordable, and resilient decarbonisation services, responsive to dynamic demand patterns. Using Cyber Physical Infrastructure (CPI) for the bidirectional exchange of data, information, feedback and analysis, we can now create new models that can help us to reduce uncertainty and risk in the design of hydrogen integration.  

 The PhD research topic will explore sources of uncertainty in modelling hydrogen integration and optimization. And through a federated network of digital twins using Cyber Physical Infrastructure (CPI), improve our understanding of how to deliver a scalable hydrogen economy. The federated network of digital models will include data and information from various sources, energy system models and related infrastructure. It should also include the whole spectrum of the hydrogen ecosystem and supply chain from production, storage, distribution system and usage.

 The federated network of digital models should focus on representative case studies exploring different pathways for hydrogen integration and enable the optimisation of hydrogen in energy systems for range of future energy system scenarios and real-time simulations. The development of strategies that evaluate the (cyber-physical) resilience of future multi-vector energy networks with hydrogen integration will be an area of investigation.

 This PhD is a strategic investment as part of the University of Glasgow’s commitments to the UKs National Hydrogen Integration Hub (HI-ACT). The successful applicant will be affiliated with the Autonomous Systems and Connectivity Division and the Glasgow Centre for Sustainable Energy.

 Applicants with interests in Integrated Energy System Modelling, Ontologies, Digital Twins, Multi-Agent Modelling and Systems Engineering.

Start Date - 2024

 In March 2023 the UK Government released its first consultation report on the UKs Cyber Physical Infrastructure:Enabling a national Cyber-Physical Infrastructure to catalyse innovation: consultation document (accessible webpage) - GOV.UK (www.gov.uk) . This studentship is an opportunity to work at the frontier of this emergent and disruptive technology in the context of critical infrastructure and decarbonization.

 How to Apply:  Please refer to the following website for details on how to apply for academic admission: http://www.gla.ac.uk/research/opportunities/howtoapplyforaresearchdegree/. Please also complete a Scholarship Application via the Scholarship Portal at the following link: University of Glasgow | The Scholarships Application Portal  Please note that as this process also requires your proposed supervisor to upload a supporting letter, you should allow sufficient time to complete the application in advance of the scholarship closing date of 31 January.   

A Digital Twin-based approach for Nuclear Reactor Design and Prognosis. (alternatively we could focus on Reliability Availability Maintenance (RAM))

Prof David Flynn

Description

The design and lifecycle analysis of low carbon technologies, such as nuclear reactors, is vital to ensuring that nuclear technologies can support dynamic energy demand profiles and support verifiable decarbonization of energy services. Through the integration or networking of digital models – including digital models, shadows and twins, we can better understand the design, operational, and planning decisions we need to make as to secure energy services. ICT or Cyber Physical Infrastructure provides the data and information pipeline, that allows us to create more accurate models in response to reducing risk and uncertainty in the design of increasingly coupled systems of systems.

 Digital Twins are more advanced than purely numerical, or physics based models, and provide complimentary value to improving our understanding of the dynamic interdependencies between previously uncoupled inputs and systems. Digital Twins provide a virtual proxy version of the physical system, constructed from the integration of historical, offline, and online data with models of differing fidelity, using novel techniques in uncertainty analysis, model reduction, and experimental validation.

 In this PhD, the student will explore transformative new science and engineering, integrating methods from prognostics and health management, ontologies, model-based design and systems engineering. The results from the project will empower NNL with the ability to create digital twins as predictive design and lifecycle analysis tools for real-world applications of nuclear reactor designs (i) radically improving the design methodology of future technologies leading to significant cost savings, (ii) enhance the accurate of lifecycle analysis of nuclear reactors and (iii) transform predictive asset management in the context of enabling a step change reduction in the associated operation and management costs of nuclear reactors.

 Research will involve an integration of semi qualitative-quantitative analysis, simulation, and hardware-in-the-loop statistical design of experiment. An area for investigation will include supporting an existing NNL £15M collaboration on the Front-End Engineering Design of a UK-Japan High Temperature Gas cooled reactor. Exploring a digital twin for the design of a heat exchange manifold system focused on hydrogen production.

 This PhD is a strategic partnership between the UKs National Nuclear Laboratory (NNL), University of Glasgow and the National Hydrogen Integration Hub (HI-ACT).  The project will support the UK in delivering a new generation of Advanced Modular Reactors, which will help the UK meet its obligations to transition to clean energy.

 Applicants with interests in Multi-Objective Optimization, Digital Twins, Nuclear Energy, Energy Systems, Model Based Design and Systems Engineering.

Closing Date: 15 January 2023

Start Date: 2024

 How to Apply:  Please refer to the following website for details on how to apply for academic admissions:http://www.gla.ac.uk/research/opportunities/howtoapplyforaresearchdegree/.  Please also complete a Scholarship Application via the Scholarship Portal at the following link: University of Glasgow | The Scholarships Application Portal  Please note that as this process also requires your proposed supervisor to upload a supporting letter, you should allow sufficient time to complete the application in advance of the scholarship closing date of 31 January.   

Design of Helicopter rotor blades using high-fidelity methods [Funded]

Prof George Barakos 

Project Summary (8/11/23)

Glasgow University is a centre of excellence in CFD and in AAA (Aerodynamics, Aeroacoustics, Aeroelasticity) of rotary wings. This project is part of a large international effort to bring the aeroelasticity in the design of helicopter blades. The CFD laboratory of Glasgow has produced the HMB3 solver that is the UK flagship code for rotary wing analysis. The tool can be use for design of rotors accounting for the effects of aeroelasticity and this has so far been demonstrated in an earlier PhD project. We are now looking for a student to continue this work and bring in the design methodology a detailed structural modelling of the blades using finite element and finite volume methods. The project partners include NASA, the US Army, DSTL, and the NRC/CNRS of Canada, provides an ideal career development opportunity for the right candidate.

Earlier work on the topic, can be found at: University of Glasgow - Schools - James Watt School of Engineering - Research - Autonomous Systems and Connectivity - Research themes - Modelling and Simulation - Design of Helicopter Rotor Blades

A successful candidate should have a solid background in CFD, aeroelasticity, dynamics and computer programming.

The project is offered to candidates classified for home fees and includes a stipend and home fees for 3.5 years.

Interested students should email Prof. G. Barakos (george.barakos@glasgow.ac.uk

Turbulence Simulation for Shock Wave / Boundary-Layer Interactions [Funded]

Prof George Barakos and Dr Rene Steijl

Project Summary (8/11/23)

This project aims to explore new ideas in hybrid modelling and simulation of turbulent flows featuring interactions between shocks and boundary layers. The problem is related to what is seen as the last un-resolved problem of classical mechanics (turbulence). At the same time, it has huge practical implications related to the performance of high-speed aircraft and their operational envelop during manoeuvres. A set of challenges are put forward for three different shock wave / boundary layer interactions (SWBLI) and a new concept of modelling turbulence using partial averaging of the Navier-Stokes Equations is to be used. 

The project will be carried out in the CFD laboratory of Glasgow, it is fully funded at EPSRC level (home fees and stipend) and will be supervised by Prof. G. Barakos and Dr R. Steijl. The CFD laboratory of Glasgow is the home to one of the most advanced CFD solvers in the world (Helicopter Multi-Block 3) and has access to a local high-performance computing cluster dedicated to and run by the lab, as well as, access to national and inter-national parallel computers. The project builds on earlier work of the laboratory in turbulence model development and hybrid scale-resolving simulations, and is supported by industry. 

Candidates for this project should have strong background in mathematics, fluid mechanics and computer programming. Knowledge of CFD at the level of method development is also beneficial. 

The project can start between December 2023 and June 2024, and interested students should email Prof. G. Barakos (george.barakos@glasgow.ac.uk) or Dr R. Steijl (rene.steijl@glasgow.ac.uk). 

Acoustic simulation of multi-rotor eVTOL using NS and LB methods

Prof George Barakos 

Project Summary (8/11/23)

The development of multi-rotor electric powered vehicles brought forward the need to model the acoustics of propellers with high fidelity tools. The eVTOL configurations currently under consideration, are not only producing significant noise, but their noise characteristics change according to their operating environment and conditions, with several acoustic interactions taking place between the radiated noise and their surroundings. The need to model complex multi-rotor vehicles makes the problem harder. The CFD laboratory of Glasgow is the home to one of the most advanced CFD solvers in the world (Helicopter Multi-Block 3) and has access to a local high-performance computing cluster dedicated to and run by the lab, as well as access to national and inter-national parallel computers. The project builds on earlier work of the laboratory, reported at: University of Glasgow - Schools - James Watt School of Engineering - Research - Autonomous Systems and Connectivity - Research themes - Modelling and Simulation - eVTOL Aeroacoustics

  and

 University of Glasgow - Schools - James Watt School of Engineering - Research - Autonomous Systems and Connectivity - Research themes - Modelling and Simulation - Skybus

 A successful candidate should have a solid background in CFD, aeroelasticity, dynamics and computer programming. The project will run in collaboration with the GARTEUR AG26 international effort on eVTOL acoustics, providing the right candidate with a unique opportunity for career development.

Interested students should email Prof. G. Barakos (george.barakos@glasgow.ac.uk

Research and Evaluation of traditional and AI-driven control methodologies for robotic manipulator led surgical procedures

Dr Kevin Worrall and Dr Gerardo Aragon Camarasa

Project Summary 

What methods of control offer the required robustness, accuracy, and responsiveness to enable autonomous control of surgical robotic manipulators which meet medical requirements? It is essential to build a control methodology which could allow a robotic agent to execute surgical tasks precisely, with a high level of accuracy and guarantee meeting the safety requirements. Given the current advancements in control, the project with research and compare methodologies based on artificial intelligence, machine learning, and traditional control. In addition, a vision system will be developed to support the controllers developed. The development of a vision-based control system will allow approaches to be researched that could lead to the proper operation and coordination of a robotic agent working along with a group of humans in a surgical setting.   

This PhD project will investigate novel control methods, including traditional and AI-based, to create a reliable robotic platform to execute surgical tasks, dealing with the required level of safety, invasiveness, and quality. The study will take previous work on the subject to improve existing methods or propose new ones.  It aims to engage with recent research studies on the field of autonomous surgical robotics. The project could also support studies on advanced manufacturing and manufacturing in space.

Payloads and mission applications for novel femtosatellite platforms

Prof Colin McInnes

Description

Femtosatellites represent low cost platforms which can be deployed singly or in swarms either to enhance the performance of conventional large platforms or to enable entirely new mission applications. Our pcb-based femtosatellite utilises a microcontroller, mems-gyros for attitude sensing and miniature wound magnetorquers for attitude control. While such platforms are extremely limited in terms of power, computing and communications bandwidth, they offer a range of novel applications for space environment sensing, forming sparse antennae and enabling distributed space science missions.

This project will explore how to leverage greater capability from our platform. First, the researcher will investigate top-level applications and assess what commercial off the shelf (COTS) sensors may be suitable for use. These will include mm-scale cameras for visual inspection applications, for example using a small free-flying camera to image the deployment of the solar arrays on a carrier spacecraft for fault diagnosis. Other possibilities include heterogeneous swarms of femtosatellites, each with a sensor configured to image at different wavelengths and mems-magnetometers for distributed field sensing.

Following the assessment of potential sensors, the researcher will then investigate new mission concepts using these sensors. This will be undertaken through simulation, for example modelling the orbit and attitude dynamics of devices for visual inspection applications or distributed sensing.

The researcher will then demonstrate the associated technologies in the laboratory. For example, we envisage combining our prior work on attitude control through the use of a Helmholtz cage with the integration of a camera on our platform to demonstrate visual tracking. By undertaking such laboratory-scale demonstrations we can accelerate the development of our pcb-based femtosatellite along the technology readiness level (TRL) ladder towards in-orbit demonstration.

Low-order modelling of unsteady, nonlinear fluid dynamics using “Scientifically-Based” machine learning

Dr Kiran Ramesh

Description

In the last 2 decades, the field of fluids engineering has seen an explosion of research interest in new ideas and concepts, such as: wind/tidal energy conversion devices, unmanned air vehicles (UAVs), high-altitude long endurance (HALE) aircraft, electric vertical take-off and landing (eVTOL) vehicles, and blended-wing-body (BWB) aircraft using distributed electric propulsion. All these research themes are aligned with the overarching 21st century goal of generating clean energy and reducing emissions of pollutants and greenhouse gases due to transport. Hence "optimal designs" are desired, but suitable design methodologies for these problems aren't yet available. This is primarily because all of these problems in some manner involve unsteady and nonlinear fluid flow, for which analytical solutions which are usually the basis of design methodologies aren't available.

 

In the project, we propose to augment physics-based equations and models with machine-learnable structures in the field of unsteady, nonlinear fluid dynamics. This "scientifically-based" learning approach will enable discovery of previously unknown governing terms/equations, accurate extrapolation beyond the training data, and acceleration of model simulation.

 

Using the recently-discovered topology and dynamics of dynamic-stall-type unsteady flows[1], we propose to split the full, complex topology into constituent unsteady flows which may be represented by Ordinary Differential Equations. The ODE system will be augmented with neural-network structures that account for nonlinear interactions absent from the physics-model. The resulting system will be trained with high-fidelity computational fluid dynamics (CFD) data generated using the open-source software package OpenFOAM. We aim to uncover new terms in the system of equations describing the flow that are absent in the scientific model based on ideal flow conditions. We expect that the trained solver will be able to make real-time, accurate predictions of flows that are loosely based on the dynamic-stall-topology (containing boundary-layer separation and leading-edge vortex formation), even when the conditions are far from ideal.

 

Pre-requisites: Interest (and preferably experience) in theoretical and numerical methods in fluid dynamics, interest in AI and machine learning .

 

[1] Widmann, A., and Tropea, C. "Parameters influencing vortex growth and detachment on unsteady aerodynamic profiles." Journal of Fluid Mechanics 773 (2015): 432-459.

In-orbit assembly: Robust autonomous methods for controlling robot manipulators in space

Dr Kevin Worrall and Dr Gerardo Aragon Camarasa

Description

With the current push towards space for both private and government organizations, and the recent increase on initiatives to the industrialization of space, there will be an important need for humans to be supported by robotic systems. Understanding and mastering the unique properties that will intervene in the robot behaviour is essential to offer a fully autonomous robotic system which will be expected to work with no human intervention while being robust, accurate and responsive.

The work will consider the different advantages of both traditional and AI-based control methodologies to support the development of a vision-based control system that is able to control a robot manipulator within the space environment during in-orbit assembly tasks. The expected outcome of this work will be a simulation environment of a suitable setup and a practical real-life implementation.

This project will engage with recent research studies on the field on autonomous robotics, building in-orbit structures, satellite assembly and support studies on manufacturing in space. This project can also engage with users beyond space, with advanced manufacturing research being a potential area to explore.

Background in either control engineering mechatronics, computing science, and/or space engineering is highly recommended. In order to be eligible to apply for the School of Engineering Scholarship, an excellent CV is required.

Funding

Currently unfunded. Please consult the Postgraduate Research section for information on applying for support. 

In-orbit fabrication of large space structures using novel manufacturing technologies

 

Professor Colin McInnes

 

This exciting new project will investigate a range of strategies for in-orbit fabrication, include the use of directed energy deposition methods. Such methods will enable the manufacture of metal-based structures in orbit from powder feedstock. However, there are a range of challenges to be overcome, including handling of feedstock in orbit and thermal control. The project will address such issues through design, simulation and laboratory-based experiment. Novel structures which could be fabricated using these methods will be considered and applications sought, including antennae and optical reflectors.

As a new development, the use of feedstock from a metal-rich meteorite sample will be investigated to demonstrate the fabrication of thin reflective films from asteroid material. It is expected that samples will be fabricated and their optical and mechanical properties characterized to understand the scaling of such methods towards large-scale in-orbit fabrication. 

The project will involved modelling and simulation and laboratory-based technology development and demonstration. The successful candidate will join a team of researchers working on a range of emerging space technologies, as part of the Space and Exploration Technology Group (SET)

The group’s facilities include the Integrated Space and Exploration Technologies Laboratory (I-SET) which hosts an air bearing and Helmholtz cage, vacuum chamber, clean room area and 3D printing facilities.

Investigation of axisymmetric turbulent boundary layers using direct numerical simulation

Dr Angela Busse

Description

Many empirical relationships used in the context of wall-bounded turbulent flows have been obtained under the assumption that the wall is flat, e.g. by approximating the geometry as a flat plate or channel flow. However, turbulent boundary layers that develop over surfaces that are strongly curved can exhibit a different behaviour. An example is the case of the turbulent boundary that develops along the axial direction of a circular cylinder with a high length to diameter ratio. This type of configuration occurs for example in the context of towed array sonars which are used to conduct geological surveys of the seabed.

Unlike the flat-plate turbulent boundary layer, which has been studied widely, there is currently only limited experimental and numerical data available on axisymmetric boundary layers. In this project, direct numerical simulations (DNS) will be used to investigate axisymmetric turbulent boundary layers. In the first phase, the smooth wall case will be investigated. In the second phase, effect of surfaces roughness, e.g. due to marine biofouling, will be included.

Vortex dynamics

Dr Richard Green and Dr Hossein Zare-Behtash

Description

Propellers are an important class of propulsion system due to their extremely high efficiency at low flight speed. Impressive understanding of propeller aerodynamics was gained leading up to the 1940s, but propellers have been overlooked for decades with research concentrating upon propulsion systems for higher speed flight. Interest is being revived with a drive towards so-called greener aviation and possibilities afforded by distributed propulsion systems due to electrification. Recent research at Glasgow University into propeller aerodynamics has investigated the inflow to a propeller, and it has been revealed that the flow field has far more interesting features than have been previously supposed. This project is to extend this work by looking at the flow leading into propellers due to installation effects, for example due to the position of a wing or fuselage nearby. The project will use experimental methods in a wind tunnel.

Flow over bodies with excrescencies due to growth of biological matter

Dr Richard Green and Dr Angela Busse

Description

Shipping, marine structures, and tidal turbines all suffer significant performance degradation due to growth of biological agents. These include algae and plant growth and encrustation by animals such as barnacles. Research work in this field has been conducted at Glasgow using theoretical, computational and experimental approaches, and this research project is to build upon this. Candidate projects include the effect of barnacle encrustation on hydrofoil surfaces for use with tidal turbines, and specifically what is the loss of potential power production due to this? There is limited understanding of the unsteady flow field in the presence of isolated barnacles or clusters of them, and this aspect is expected to be the major thrust of this research effort. Both supervisors have extensive experience in computational and experimental work in this field, and the PhD candidate will be expected to develop computational and experimental methods. Contact either Dr. Angela Busse or Dr Richard Green if you are interested in conducting a research project in this field.

Unsteady flow of jets and wakes

Dr Richard Green and Dr Angela Busse

Description

Fluid dynamic jets and wakes are rich in phenomena of fundamental significance that are fascinating to observe but are a challenge to predict, measure and understand. As such jets and wake flows have formed the basis of many investigations in fluid dynamics that are relevant to flows in nature, for aircraft and other vehicles, civil engineering, meteorology among other fields. Of particular importance are jet and wake flows that break down into powerful vortex structures as a consequence of the development of fluid dynamic instabilities. Experience at Glasgow in this research in this area includes development of rotor wakes, jet configurations and bluff bodies for the study of both fundamental fluid dynamics and applied aerodynamics. The project supervisors have extensive research experience in this field, and use computational, theoretical and experimental approaches. Contact either Dr. Angela Busse or Dr Richard Green if you are interested in conducting a research project in this field.

Development of theoretical methods for unsteady flows and vortex dynamics

Dr Kiran Ramesh

Description

In the last 2 decades, the field of fluids engineering has seen an explosion of research interest in new ideas and concepts, such as: wind/tidal energy conversion devices, unmanned air vehicles (UAVs), high-altitude long endurance (HALE) aircraft, electric vertical take-off and landing (eVTOL) vehicles, and blended-wing-body (BWB) aircraft using distributed electric propulsion. All these research themes are aligned with the overarching 21st century goal of generating clean energy and reducing emissions of pollutants and greenhouse gases due to transport. Hence "optimal designs" are desired, but suitable design methodologies for these problems aren't yet available. This is primarily because all of these problems in some manner involve unsteady and nonlinear fluid flow, for which analytical solutions which are usually the basis of design methodologies aren't available.

 

This project will use analytical and mathematical methods to develop new ways of modelling unsteady flows. In past research, for example, our group has introduced the Leading Edge Suction Parameter (LESP), calculated as a measure of theoretical suction/velocity at the aerofoil leading edge [1]. Using the LESP criterion to regulate start/stop of LEV shedding, we further developed a discrete- vortex method (DVM) which permits intermittent vortex shedding from the aerofoil's leading-edge [1].

 

The project aims are to develop methods to predict and model (i) general flow separation and (ii) transition to turbulence. These will be derived from the unsteady boundary-layer and Navier-Stokes equations, using concepts such as perturbation methods, matched asymptotic expansions and self-similarity.

 

Pre-requisites: Interest (and preferably experience) in theoretical and analytical methods in fluid dynamics. 

 

[1] K. Ramesh, A. Gopalarathnam, K. Granlund, M. V. Ol and J. R. Edwards, "Discrete-vortex method with novel shedding criterion for unsteady airfoil flows with intermittent leading-edge vortex shedding," Journal of Fluid Mechanics, vol. 751, pp. 500-538, 2014.

Real-time simulation of unsteady, separated flows about arbitrary geometries

Dr Kiran Ramesh

Description

The advent of fast computers and the need for more realistic flight simulations put new demands on computational aerodynamics for methods that have a good level of fidelity and can run efficiently for large-scale problems.

 

In this project, a 3D discrete-vortex model will be developed for simulating flow around arbitrary, deforming geometries. The PhD student in this project will work alongside other researchers in theoretical and numerical fluid dynamics. The code development will be based on the existing code platform UNSflow[1].

 

The development of UNSflow is inspired by XFOIL, a low-order aerodynamic solver for steady flows. Originally developed at the Massachusetts Institute of Technology in the 1980s, it remains widely used for aerofoil analysis and design even 3 decades later. Its distinguishing features are a simple graphical interface to interact with the solver, an intuitive physical description of the solution (transition location, separation location, lift and drag coefficients, flow visualisation, etc.) and the options to carry out parametric studies. Recognising that much of current aerospace research involves unsteady aerodynamics, UNSflow intends to provide similar functionality to the aerospace community for studies and applications involving unsteady flow phenomena.

 

GPU computing will be used to speed up the discrete-vortex simulation to make it real-time. The potential use of this code in AR and VR applications will be investigated (with a potential partnership with Rolls Royce).

 

Pre-requisites: Interest (and preferably experience) in numerical methods in fluid dynamics. 

 

[1] https://github.com/KiranUofG/UnsteadyFlowSolvers.jl

 

Flow control in unsteady flows, and use in active flight control

Dr Kiran Ramesh

Description

The concept of flow control has existed since Prandtl, who introduced the idea alongside boundary- layer (BL) theory. However, only few realizations of flow control are seen in practice, and they primarily involve triggering early transition to turbulence in order to prevent laminar separation. Progress in flow control techniques has frequently been achieved by experimentation, experience and luck, and for this reason Active Flow Control has been (somewhat mockingly) referred to as an art rather than science in the literature

 

The goal of this project is to move away from the “trial-and-error” or “brute-force” approaches to investigating flow control mechanisms, and to instead develop a “design process / methodology” for the same.

 

In past research, our research group has introduced new low-order methods of simulating and studying unsteady flows [1]. These methods are unique in that they are based on phenomenological augmentation of inviscid aerodynamic theory, using numerical computations to account for departures from the assumptions made in theory (such as finite viscosity and flow separation). These models will be used to enable flow control studies in this project owing to their low time and cost consumption, their ability to be easily modified/augmented for multidisciplinary problems and also since they provide additional insight into the most important flow phenomena associated with the problem.

 

Control strategies for laminar flow reversal and separation through suitable changes to the boundary conditions of the BL equations will be investigated. The study is fundamental in nature and intended to develop a new design-based perspective of flow control. Extensions to transitional and turbulent boundary layers will also be considered.

 

Three representative problems which all involve flow separation will be used to test and illustrate the approach and methods developed through this project (at low Reynolds numbers): (i) 2D dynamic stall, (ii) Swept wing at high angle-of-attack, (iii) Finite wing encountering a gust.

 

Pre-requisites: Interest (and preferably experience) in analytical and numerical methods in fluid dynamics. 

 

[1] K. Ramesh, A. Gopalarathnam, K. Granlund, M. V. Ol and J. R. Edwards, "Discrete-vortex method with novel shedding criterion for unsteady airfoil flows with intermittent leading-edge vortex shedding," Journal of Fluid Mechanics, vol. 751, pp. 500-538, 2014.

High Performance Bio-Inspired Topologically Optimised and Smart Composite Structures

Dr Mohammad Fotouhi

Description

Polymer matrix composites usage is growing rapidly due to their superior strength, stiffness, lightness and low susceptibility to fatigue and corrosion. There is rapid expansion of composite use in aerospace and other applications, such as wind turbine blades, sporting goods and civil engineering. Recent examples include large civil aircraft, such as the Boeing 787 and the Airbus A350, high performance cars, such as the McLaren 650S, and civil infrastructure, such as the Mount Pleasant bridge on the M6 motorway. Despite this progress, composite structures will often fail through poor design, where stress concentrations appear around sharp changes in topology e.g. edges, holes, corners, or due to concentrated loads such as impact. In addition, the damage in composite materials is hidden and failure is without any warning and mainly catastrophic. Therefore, designers are forced to apply conservative design approaches which do not fully exploit the properties. For example, maximum allowable design strains can be as low as 0.1% for carbon fibre composites, despite maximum failure strains of up to 2%.

This project intends to explore bio-inspired examples of stress distribution in living organisms and to utilise some of those methodologies in the design of composites structures. These designs can be mimicked due to advances in modelling, characterisation and manufacturing of composites. The project’s vision is to develop a new generation of high-performance and smart composite structures based on nature’s generative design principles to overcome the aforementioned limitations. These bio-inspired algorithm-based composites will improve both safety and design strain limits at the same time, shifting the traditional dilemma between performance and safety. A step change in the design and performance will be achieved compared to current materials, resulting in simple and cheap approaches for optimal design and health monitoring. The outcomes of this project will enable full exploitation of the weight saving benefit in composite structures by overcoming the limitations of traditional conservative designs and avoiding expensive inspections. Such materials will provide greater reliability and safety, together with reduced design and maintenance requirements, and longer service life.

The key research questions: 1. How to produce bio-inspired topologically optimized and smart composite structures to overcome the limitations of current composite structures, i.e. over-engineering and catastrophic failure. 2. How to generate design tools for implementation of these high-performance bio-inspired topologically optimized and smart composite structures?

Established in 1451, the University of Glasgow has been a home to aerospace research for over 80 years, and today our researchers are tackling the multidisciplinary challenges faced by the aerospace industry in the 21st century. We have excellent modelling, simulation and ESA-ESTEC Testing facilities. 

The ideal PhD candidate has a degree in either aerospace, mechanical, materials, or a related area with an excellent research track record. 

Funding and application

For funding opportunities and the application process, please consult: https://www.gla.ac.uk/schools/engineering/phdopportunities/ 

Contact

For an informal discussion or further information on this project, please contact: mohammad.fotouhi@glasgow.ac.uk

A theoretical and experimental investigation of subscale flight testing

Dr. David Anderson

Description

Accurate subscale models have been used by aircraft designers since the earliest days of flight and continue to inform the design process of new aircraft today. The most common use of accurate models is in wind-tunnel testing, where the objective is to predict aircraft aerodynamic loading and interactions for a range of flight conditions. However, there are limitations to the range of experiments that can be conducted within a wind tunnel, particularly when measuring loads under dynamic vehicle conditions. Unfortunately, understanding such edge cases is critical when developing new high-bandwidth flight controllers, to ensure aircraft safety, efficient operation etc., with problems often only discovered during the final flight-testing programme, leading to very costly delays. Consequently, there is a desire (and significant financial benefit) to be able to identify any stability, control or performance issues earlier in the design process.

This PhD research project will investigate the usefulness of data obtained from conducting subscale flight tests with dynamically scaled aircraft within the context of aircraft design. Overcoming the issues associated with Reynolds number scaling – a significant problem for wind-tunnel experiments will be the primary objective. Specifically, machine learning techniques will be used to extrapolate data collected during subscale flight tests to help validate mathematical models of the full-scale aircraft. This will be accomplished by developing an accurate mathematical simulation that can be configured for both full-scale aircraft and models of differing dynamic scale factor. Model validation at the subscale end will be achieved by fabricating several dynamically scaled aircraft with a common sensor suite and conducting a flight test program for each. To ensure that flight test data for the full-scale aircraft will also be available, the vehicle chosen for this study will be Cranfield Universities new flying laboratory aircraft, the SAAB 340B.

 

Learned Vision Based Obstacle Avoidance for μUAV

Dr Kevin Worrall

Description

 

The capabilities of UAVs and μUAVs are expanding each year. There are autonomous UAVs that can fly in open and complex environments and UAV’s that can delivery supplies and operate as remote sensors.

One reason for this is the increase in processing power, and the size reduction, of microelectronic devices and sensors. With the new capabilities of the microelectronic devices available there is now a drive to implement onboard vision based navigation and obstacle avoidance for UAVs and μUAVs. This method of navigation/obstacle avoidance could further improve the capabilities of the systems and provide a means to increase the range of applications that can be carried out by the UAVs.

This project is to consider the use of an onboard vision system for obstacle avoidance. The aim of which is to allow a UAV to fly freely around a complex unpredictable environment. It is proposed that to achieve this the system is required to learn what obstacles are and then react to them.

Using machine learning, it is envisioned that a suitable algorithm can learn what obstacles are and, using this knowledge, provide a means in which to successfully implement an obstacle avoidance routine on board the uUAV.

This work will involve:

  • Implementation and testing of machine learning algorithms
  • Hardware implementation and testing of algorithms
  • Comparison of algorithms for different scenarios

The ideal candidate will have a strong background in software and control with experience of hardware and an excellent track record, preferably including evidence of outstanding research, such as previous awards and/or publications.

Effects on roughness shape and distribution on performance of aero- and hydrofoils

Dr Angela Busse and Dr Marco Vezza

Description


Due to their exposure to harsh environments, wind and marine turbines suffer from pitting and fouling during their service resulting in the formation roughness on the turbine blades. Once the surface roughness exceeds the hydraulically smooth limit, it will affect the boundary layer over the surface and result in altered performance of the aero- or hydrofoil, e.g. a reduced lift and an increased drag coefficient. 

However, roughness comes in many different forms, e.g. surface fouling will result in a different topography compared to surface pitting or gouging. In addition, the roughness topography of the turbine blade will evolve as the processes causing the formation of roughness progress in time. Finally, the change in the performance will strongly depend on what part of the blade is most strongly affected by roughness built-up, i.e. the spatial distribution of the roughness.

The aim of this project is to systematically investigate the effect of roughness topography and distribution on the performance of aero- or hydrofoils using RANS and large-eddy simulations. In the first part of the project, the numerical approach will be validated against existing experimental data. In the next stage of the project, numerical simulations will be performed for a wide range of realistic roughness types and for representative aero- and hydrofoil shapes. In the final part of the project, the influence of roughness shape and distribution on the flow over moving aerofoils, e.g. undergoing a pitching motion, will be investigated. The aim is to develop a comprehensive classification of roughness effects on aerofoils, which will help in developing cost-effective maintenance strategies for off-shore wind turbines.

Improvement of wheeled vehicle safety and performance using inverse simulation

Dr Douglas Thomson and Euan McGookin

Description

Wheeled vehicles are used for many different transportation applications e.g. road transportation, off-road travel, mobility.  Each scenario has its own requirements in terms of performance and the specification of the vehicle.  However, all have safety as a main concern and requirement for the operation of these types of vehicle.  In particular road safety has become a focus for government bodies and the automotive industry in an attempt to reduce fatalities. One way of improving safety is through in-vehicle assistance where the driver is provided with assistive cues that direct their driving in a safe manner.  In addition, the operation of the vehicle on rough terrain can be enhanced through assistive control systems that compensate for variations in the ground profile. To implement such assistive technologies there needs to be knowledge of how desired driving trajectories can manifest themselves as inputs to the vehicle.  A novel technique that can generate such a relationship from the dynamics of the vehicle is Inverse Simulation. 

Inverse Simulation is a method by which the control inputs necessary for a given system to respond in a defined manner can be calculated.  The most common area where this method is applied is in the aerospace field where the pilot control inputs necessary for an aircraft to fly a specific manoeuvre can be calculated based on an inverse structuring of an appropriate mathematical model.  Recent work at the University of Glasgow has demonstrated that the mathematical model can be treated as a module of the Inverse Simulation algorithm allowing its use for various dynamic systems.  Inverse Simulation works by taking such a standard mathematical model and solving it in a conventional form over a discrete time step.  It is an iterative process where step changes in the various controls are applied until the predicted response matches the predefined response.   Its value can be as a predictive tool for design or optimisation, or it can be inherent in the basic control system design. 

For wheeled vehicle safety, Inverse Simulation could be used to define an optimum driving corridor that would provide safe and/or efficient utilisation of the vehicle.  This corridor would be a spatial/temporal path for the driver to follow.  The underlying Inverse Simulation would be based on a mathematical model of the vehicle and suspension system dynamics for an estimate of the current driving conditions ahead.  The driver would be instructed on the best way to improve their own driving skills and maximise the performance of the vehicle. 

The aim of this project will be to develop an appropriate mathematical model of wheeled vehicles for different applications (e.g. road driving, off-road and mobility) and apply the techniques of Inverse Simulation to them. The Inverse Simulation will then be used in a number of case studies to demonstrate the capabilities of this method in the design and analysis of systems for wheeled vehicles.  These applications will include driver assistance and automatic control of the vehicles being considered.

Effects on roughness shape and distribution on performance of aerofoils

Dr. Angela Busse and Dr. Marco Vezza

Description

Due to their exposure to harsh environments, wind and marine turbines suffer from pitting and fouling during their service resulting in the formation roughness on the turbine blades. Once the surface roughness exceeds the hydraulically smooth limit, it will affect the boundary layer over the surface and result in altered performance of the aero- or hydrofoil, e.g. a reduced lift and an increased drag coefficient.

However, roughness comes in many different forms, e.g. surface fouling will result in a different topography compared to surface pitting or gouging. In addition, the roughness topography of the turbine blade will evolve as the process causing the formation of roughness progresses in time. Finally, the change in the performance will strongly depend on which part of the blade is most strongly affected by roughness built-up, i.e. the distribution of the roughness.

The aim of this project is to systematically investigate the effect of roughness topography and distribution on the performance of an aero- or hydrofoil using a RANS and large-eddy simulations. In the first part of the project, the numerical approach will be validated against existing experimental data. In the next stage of the project, numerical simulations will be performed for a wide range of realistic roughness types and for representative aero- and hydrofoil shapes. In the final part of the project, the influence of roughness shape and distribution on to flow over moving aerofoils, e.g. undergoing a pitching motion, will be investigated. The aim is to develop a comprehensive classification of roughness effects on aerofoils, which will help in developing cost-effective maintenance strategies for off-shore wind turbines.

 

Effect of turbulent flow structures and river-bed roughness on sediment transport

Dr. Angela Busse and Dr. Manousos Valyrakis

Description

Over 5 million people in the United Kingdom live in regions of elevated risk from extreme hydrologic events such as flooding and storm surges. The December 2015 flooding in North-West England has demonstrated once again the big impact these events have on society. The number of extreme hydrologic events is expected to further increase due to the combined effects of climate change and urbanisation. As weather phenomena intensify, so do the geomorphic processes that are primarily responsible for shaping the Earth’s surface. Such effects can be alleviated by improving the management of rivers and estuaries considering linkages between form and function of the water surface bodies. This however requires a better understanding of the mechanics of sediment transport, so that better numerical tools can be developed to predict these phenomena.
Recent developments have highlighted the role of highly fluctuating turbulent forces on the transport of sediment grains laying on the river bed surface. However, in many established models only a time-averaged representation of the turbulent flow field is considered, failing to take into account the highly intermittent small-scale fluctuations. In addition, the structure of the turbulent flow and the topography of the river bed have a strong influence on sediment transport.

In this project direct numerical simulations will be used to investigate the properties of the instantaneous near-wall turbulent fluctuations in riverbeds and their influence on sediment transport. The numerical results will be compared to experimental measurements and will improve our understanding: a) of flow over different types of bed roughness and b) of flows past flow obstructions of varying structural complexity (e.g. from solid cylinders to flexible-porous vegetation elements).

Development of novel chemical reaction models for hypersonic flows

Dr. Craig White and Dr. Rene Steijl

Description

Vibrational energy, electronic energy, and chemical reactions are an important physical feature of hypersonic flows. The extremely high temperatures found behind shock waves can provide enough energy to activate the vibrational and electronic modes, and allows endothermic reactions, such as dissociation of nitrogen and oxygen, to take place. The level of uncertainty in reaction rates at high temperatures is high because no reliable experimental data is available, but using accepted rates for the occurrence of these reactions is important from an engineering perspective, in order to predict the flow temperature and heat flux to the hypersonic body.

This entirely numerical project will make use of two in-house numerical codes, for both continuum and rarefied gas regimes. A parrticle method will be used for the rarefied conditions at higher altitudes and to inform new models to be implemented in the continuum solver. The continuum solver uses gas-kinetic schemes and is applicable to low levels of rarefaction. Coupling these solvers would be a novel research direction, but some work is first required to bring their physical models into closer alignment.

An anharmonic oscillator model for the vibrational energy states will be implemented in the particle solver for rarefied flows. Such an approach for the vibrational modes will have an influence on the implemented chemical reaction rates. This influence has not previously been documented and will need to be carefully examined. In the foreseen main part of the project, data from the rarefied code’s chemical reactions will be collated and used to propose and implement novel engineering level chemical reaction formulations in the continuum solver that will return results in agreement with the rarefied solver, allowing coupling of the two solvers through a flux and state based scheme.

An Experimental Investigation of Predictive Control Methods in Limiting Atmospheric Turbulence Response in Small and Micro UAVs

Dr. David Anderson and Dr. Richard Green

Description

All flight controllers must be designed to stabilise the aircraft against atmospheric turbulence. Effective controller design becomes more difficult for platforms whose aerodynamic surfaces are lightly loaded – a common situation for small Unmanned Aerial Systems (UAS) – and/or platforms with movable lifting surfaces such as the quadrotor, coaxial helicopter, ornithopter (flapping wing) etc. As the principal operational function of most UAS is airborne surveillance, accurate platform stabilisation is imperative for such systems. Therefore it is essential that accurate, validated models of the effects of atmospheric turbulence on the UAS be available to the flight control systems engineer during the design.

This research project is a continuation of a current investigation into the use of CFD-based simulation methods for predicting the response of small UAVs (quadrotors in this case) to atmospheric gusts typical of those found in an urban environment. Recent outputs from this research have shown that fusing the spatio-temporal turbulence field generated by the CFD models within the MAVERIC simulation environment generates qualitatively correct responses. However, conventional simulation methods alone cannot yield truly accurate models of the combined, interactional aerodynamic effects, for this we need to conduct wind tunnel experiments. Recently, the main wind tunnels in GU have undergone considerable modernisation which now allows experimental investigation of this type to be performed. However, to accurately quantify the response characteristics of small UAVs operating within low Reynolds number environments, an appropriate method for accurately generating statistically relevant turbulence within the wind tunnel will have to be determined and constructed. The turbulence field will be measured and tracked using PIV equipment and the UAV response measured using the balance. Assuming a safe operation mode can be determined, free-flight of the UAV will also be conducted inside the tunnel using motion capture cameras from the MAST lab.

The second phase of research will be to use the experimental data to populate models to assist in the design and analysis of nonlinear predictive controllers for optimal alleviation of atmospheric turbulence. The turbulence models will provide usable feedforward information to improve the efficacy of the predictive flight controllers. It is also hoped that the experiments will provide a database of sufficient scope to be able to ascertain if Kolmolgorov’s turbulence model of atmospheric turbulence is valid for small/micro UAV systems and if not, to propose a new turbulence model for these platforms.

Comparison of Biologically Inspired Propulsion and Navigation Systems for AUVs based on Fish and Aquatic Mammals

Dr. Euan McGookin

Description

The utilisation of Autonomous Underwater Vehicles (AUVs) has increased dramatically over the last decade and given rise to an associated multi-million pound industry. Initially this was due to the increase in oil exploration and extraction, which have come with the need to dive deeper in the world’s oceans in order to exploit reserves.  As a consequence AUVs have been deployed in deep water areas that are potentially hazardous to human divers. Their crucial functions within the underwater arena have made them invaluable for all underwater applications e.g. subsea survey, pipeline monitoring, pollution detection.

The operation of these vehicles has one main limiting factor: the lifespan of the on board power supply. With conventional AUV designs, propulsion is provided through the propeller based systems. This type of system draws large amounts of power from the battery during operation and the power drain is more severe during low speed manoeuvres where the motor is over used to maintain incremental motions. Consequently the power supply becomes depleted very quickly and the operational capability of the vehicle is greatly impaired. 

One approach to improve the propulsion efficiency of AUVs is to mimic the biological propulsion techniques exhibited by aquatic creatures i.e. tail based swimming. Instead of propeller systems, the AUV would have a biologically inspired or biomimetic propulsion system similar to a fish or aquatic mammal. Such a system would provide the required undulation to generate the unsteady vortex flow field along the body of the vehicle, which in turn produces the propulsive force for manoeuvring the vehicle. This approach has potential benefits over conventional methods including greater propulsive efficiency and increased manoeuvrability thus allowing increased mission duration and operational longevity. Also a biomimetic propulsion system would allow the AUV to operate within areas containing dense marine flora without becoming entangled. Further, the undulation of the tail will not disturb the water and river/sea bed as violently as a rotating propeller. This enables Biomimetic AUVs to operate without disturbing their swimming environment unnecessarily.

Obviously the physical characteristics of the AUV determine its functional capability and the environment it can operate within.  In this project the design of the biomimetic systems shall be based on horizontal fish tail undulation and vertical mammalian propulsion.  The design of both these types of system shall be the focus of this study, where the system will be developed and performance analysed through simulation.

Development of a Biomimetic Planetary Rover

Dr. Euan McGookin and Dr. Matteo Ceriotti

Description

Rovers have been used extensively for the exploration of planets, moons and other celestial bodies. Furthermore, recent scientific discoveries have sparked interest in exploring other planets’ moons such as Saturn’s Titan and Jupiter’s Europa. Naturally the diverse range of environmental conditions that could be encountered during exploration may not be suitable for existing rover systems.

Conventional rover designs have been wheel based for operations on firm ground surfaces and have proved successful in the exploration in this type of environment e.g. Mars. However, these types of rovers are not suitable for more fluidic environments where operation would be within dense gaseous or liquid atmospheres. In such scenarios the rover should have the capability to manoeuvre effectively within such atmospheric media and its design must reflect these operational requirements.

One suitable approach is to base the design of the rover on biological entities that live in similar environments on Earth e.g. fish and aquatic mammals. This would involve the development of a robotic system that was able to replicate the swimming gate of the particular biological species under consideration. In addition, an American university has recently proven that shape-morphing vehicles can be used as means to move both in the air and in the water, adapting to two fluids of very different density.  This approach could be used to morph the rover so that its swimming characteristics adapt to the operational environment.  

This proposed research project will involve the design and analysis of a biologically inspired or biomimetic rover concept, for example based on fish swimming, particularly anguilliform (eels) and sub-carangiform (salmonid). Such robotic systems should be highly robust and capable of adapting to a range of environmental conditions and properties, such as fluid composition, density, and temperature, as these not accurately known beforehand. This is typical of an unknown environment such as an unexplored area of a planet or moon.

Design considerations will include types of environments, materials, propulsion mechanisms, efficiencies and power requirements. These will be evaluated through simulations in MATLAB that have been validated against previous studies involving biomimetic autonomous underwater vehicles. Additional research will optimise the caudal motion to maximise its efficiency and minimise the reactions on the body. Proposed case-studies will involve the exploration of the atmosphere of Europa and Titan.

Fault Tolerant Guidance of Planetary Rovers Using Inverse Simulation

Dr. Euan McGookin and Dr. Douglas Thomson

Description

Rover systems have been increasingly used for planetary exploration over the last decade with particular success in the missions to Mars. Conventional operation of such planetary rovers has been based on remote guidance. However, future rovers are likely to have more autonomous functionality to improve mission effectiveness and minimise operational reliance on commands from Earth.

Although increasing the autonomy of the planetary rovers would improve operational capability, it does raise concerns about reliability. Therefore, the rover systems have to be designed to be fault free throughout their entire lifespan, which is impossible to achieve.  Alternatively they could be designed to be fault tolerant through health monitoring and appropriate fault recovery strategies. 

The fundamental process of health monitoring involves the detection and isolation of faults. For the autonomous operation of rovers the most important systems are the sensors and the actuators. If any of these crucial systems develop faults the rover would no longer operate correctly. To detect these faults the actual state of the rover is compared with an estimate provided by a suitable mathematical model. If the resulting residual exceeds specified thresholds then a fault is detected. Although this mechanism detects faults, it is difficult to ascertain which particular system is faulty due to the coupled dynamics of the rover. 

The process of automating the recovery of acceptable operation is susceptible to similar ambiguity. If the source of a fault cannot be isolated then it is difficult to determine an appropriate course of action that will compensate for the fault and ensure continued operation of the rover.

Existing methods used to overcome these hurdles require considerable amounts of historical data in order to generate relationships between observed symptoms and associated faults. Unfortunately in the case of planetary rovers the availability of such data is limited. Therefore, these classification methods for symptom/fault mapping would not be effective.

This project proposes that a novel alternative is to use Inverse Simulation to make autonomous rovers fault tolerant. Inverse Simulation uses mathematical models to determine the required inputs to generate predetermined output trajectories. In the context of fault tolerance, Inverse Simulation can be used to detect and isolate faults in sensors and actuators. Also, Inverse Simulation can be used in the recovery process once a fault has been detected. The utilisation of Inverse Simulation in both ways would allow the rover to continue to operate and thus complete its mission.

Improvement of Automotive Safety and Performance Using Inverse Simulation

Dr. Euan McGookin and Dr. Douglas Thomson

Description

Road safety has become a focus for government bodies and the automotive industry in an attempt to reduce fatalities. One way of improving road safety is through in-vehicle training or assistance where the driver is provided with assistive cues that direct their driving in a safe manner.  To implement such assistive technologies there needs to be knowledge of how desired driving trajectories can manifest themselves as inputs to the car.  A novel technique that can generate such a relationship from the dynamics of the vehicle is Inverse Simulation

Inverse Simulation is a method by which the control inputs necessary for a given system to respond in a defined manner can be calculated.  The most common area where this method is applied is in the aerospace field where the pilot control inputs necessary for an aircraft to fly a specific manoeuvre can be calculated based on an inverse structuring of an appropriate mathematical model.  Recent work at the University of Glasgow has demonstrated that the mathematical model can be treated as a module of the Inverse Simulation algorithm allowing its use for various dynamic systems.  Inverse Simulation works by taking such a standard mathematical model and solving it in a conventional form over a discrete time step.  It is an iterative process where step changes in the various controls are applied until the predicted response matches the predefined response.   Its value can be as a predictive tool for design or optimisation, or it can be inherent in the basic control system design. 

For road safety, Inverse Simulation could be used to define an optimum driving corridor that would provide safe and/or efficient utilisation of the vehicle.  This corridor would be a spatial/temporal path for the driver to follow.  The underlying Inverse Simulation would be based on a mathematical model of the vehicle and suspension system dynamics for an estimate of the current road conditions ahead.  The driver would be instructed on the best way to improve their own driving skills and maximise the performance of the car.

The aim of this project will be to develop an appropriate mathematical model of a road vehicle and apply the techniques of Inverse Simulation to it.  The Inverse Simulation will then be used in a number of case studies to demonstrate the capabilities of this method in the design and analysis of systems for road vehicles.  These will include driver assistance systems.

Experimental and numerical investigation of waverider vehicles with realistic leading-edge and aerodynamic control surface designs

Dr. Rene Steijl and Prof. Kostas Kontis

Description

The design and development of aircraft capable of flying at hypersonic speeds involves many challenges, including complex aerodynamic phenomena, creating an effective propulsion system as well as managing the thermal environment created at high speeds and the associated challenges to the thermal protection system, structure and materials.

The proposed research considers designs of the wave-rider type, with a shape optimized for efficient cruise flight. The relatively high aerodynamic efficiency of such configurations, however, is achieved using a sharp wing leading edge, which in high-speed flight creates unacceptable heat transfer rates. Also, the ideal wave-rider shape has no provision for engine installation and aerodynamic control surfaces and its aerodynamic stability is typically too marginal for practical use.

In the proposed research, the latest in-house developed Computational Fluid Dynamics methods will be used to create a realistic wave-rider design, with leading-edge bluntness and suitable tail/fin surfaces for enhanced stability at a range of speeds.

Then, the aerodynamics of the wave-rider vehicle at Mach 7 will be investigated in the high-speed wind tunnel at Glasgow University.  Advanced flow diagnostics will be used to analyse the flow in detail, while the loads on the vehicle will also be measured.

The main aims are to assess the aerodynamic performance and stability of the vehicle with the employed leading edge design and aerodynamic control surfaces. The combined experimental and numerical flow field data will provide detailed insight into the controls-surface effectiveness as well as the heat transfer into the vehicle surface. The results will be used to improve stability and control of improved designs. The project will make contributions to making wave-rider derived designs a more realistic prospect for future aircraft and space launch systems.

 

Numerical analysis of advanced hybrid propulsion systems for hypersonic flight

Dr. Ian Taylor

Description

The retirement of the Space Shuttle, now over 5 years ago, has focussed attention on the technological hurdles that must be overcome to sustain future access to space. Major economies must be achieved, and the key is the ability to achieve single-stage to orbit (SSTO) with a re-usable launch vehicle. The realisation of SSTO relies heavily on the development of appropriate advanced propulsion systems. Indeed, the Shuttle failed to live up to economic expectations largely because of the incompatibility of its propulsion system with its intended mode of operation. The outstanding technological problems are huge: SSTO engines need to operate efficiently over the whole flight envelope, from take-off to hypersonic speeds, from continuum-gas conditions near the surface to the rarefied gas conditions at the edge of space.

Recent research activity by Dr Ian Taylor on propulsion systems has been focussed on scramjet engines, firstly using high resolution CFD to model the detailed shock structures at inlet and how they influence combustion, and secondly developing low fidelity, modular engine models to optimise engine performance and configuration. This proposal aims to build on this research by investigating hybrid engines that incorporate various engine architectures each optimised for different aspects of the flight envelope.

Hybrid engines are considered to be the most efficient approach for SSTO propulsion systems, with “conventional” gas turbines used for the low-speed and altitude flight, ramjet/scramjets at high speeds and altitudes, and rockets to extend the flight beyond the atmosphere. The research proposed will undertake a detailed numerical (CFD) investigation of the intake and engine-airframe configuration, assessing the effect on combustion at high speeds and on achieving stable engine operation. There will be a particular emphasis on understanding the transitions between the various engine operation modes, as any associated unsteady effects could strongly affect efficient engine operation. Also, the low fidelity model will be enhanced, with new models of the hybrid engine architecture and extended trajectory analysis to allow optimisation the flight envelope, thus identifying the ideal transition point between engine configurations. In both cases, open-source software, already available to Dr Taylor, will be used to undertake the numerical investigations. The deliverables of the research will be enhanced, state-of-the-art suite of numerical models for advance propulsion systems. Additionally, it will deliver a greater understanding of the physical phenomena associated with these systems to enable future solutions to be developed that bring SSTO closer to reality.

 

Aerodynamics of transport vehicles

Prof. Konstantinos Kontis and Dr. Angela Busse

Description

This project will investigate, both experimentally and numerically, the aerodynamics of road vehicles and rails. Particular focus will be on resolving instantaneous flow field around the chassis and the under-floor flow. This is a challenging project as state-of-the-art modern experimental techniques like high-speed stereo PIV, volumetric PIV, high-speed Background Oriented Schlieren (BOS), Pressure Sensitive Paint (PSP) measurements will be employed so that three-dimensional information of the flow could be obtained. Computational Fluid Dynamics (CFD) will also be used to predict the under-floor flow field as well as for validating the experimental data.

The importance of this project is that currently our understanding on vehicles and train aerodynamics is still remained at the level of time-averaged flow field. Only limited studies have been conducted to resolve the instantaneous flow field around vehicles and rails. The information obtained from the instantaneous flow field is particular important for understanding the flow physics of under-floor flow of road vehicles. It is generally believed that the interactions between the rolling wheels and the chassis create significant amount of noise and drag. The interactions also affect the handling quality of a vehicle.

In addition, the unsteady flow generated by the rolling wheels of a vehicle also affects the stability of vehicles which are riding near a heavy vehicle. Understanding the under-floor flow of a vehicle or a train could improve the vehicle design in order to reduce drag (i.e. reduce fuel consumption) and also could improve the handling quality. This in turn will improve road safety which is beneficial to the public.

High-Speed Aerospace Vehicles

Prof. Konstantinos Kontis

Description

The design and development of high speed transports include a number of challenging phenomena and interactions: transition, SBLI, plumes, high speed intakes and sonic boom. The proposed research will address a combination of these phenomena using a range of wind tunnel facilities, advanced flow diagnostics and modelling/simulation tools. The effects of turbulence, instabilities and contamination will be assessed. Active and passive flow and flight concepts will be tested. The research feeds directly to the development of future aerospace vehicles and transport concepts.

Low-Speed High-Lift Lamda Wings and their Control

Prof. Konstantinos Kontis

Description

The project will involve research to study the fundamental flow physics and aerodynamic effectiveness of novel configurations and platforms using low-speed wind tunnels, and advanced flow diagnostics and instrumentation. The investigation will be supported by numerical simulations and theoretical analysis including multi-disciplinary design optimisation and uncertainty quantification techniques. Advanced flow control devices will be employed. The impact of the research will be on the development novel UAVs, HALE, MALE platforms, and will contribute to the design of the next generation of aircrafts.

Single Stage to Orbit (SSTO) Payload Launcher

Prof. Konstantinos Kontis and Prof. Colin McInnes

Description

Mission and trajectory studies will be performed on a variety of SSTO concepts assessing different launching strategies and engine types. Full modelling and simulation of the launcher will be performed assessing its flying quality characteristics over the entire flight domain. Altitude, Mach number, and angle of attach profiles will be investigated. Advanced optimisation techniques will be utilised, and refinement of available aero-database will be conducted.

Interaction of Engine Exhaust Flows with Surfaces for VSTOL and Space Applications

Prof. Konstantinos Kontis and Dr. Craig White

Description

The global objective of this activity is to investigate engine exhaust flows with surfaces at a fundamental level using computational tools and experimentation. An assessment of the scaling phenomena, ambient, vacuum effects and pulsing of flows will performed on a variety of surfaces. The impact of the research programme will be on the development of VSTOL aircrafts, ascending/descending vehicles etc.

Powered Plasma Manifolds for Intakes, Ducts, Exhausts and External Flows

Prof. Konstantinos Kontis and Dr. Craig White

Description

Advanced DBD (Dielectric Barrier Discharge) and Nanopulse plasma actuators will be developed to provide better control authority for intakes, ducts, mixers, exhausts and external flows for both low and/or high speed applications. This is a joined experimental and computational campaign that will improve the plasma flow coupling performance. It is part of an on-going international collaboration. The expected impact of the proposal is in the following three areas: 

a. Aerodynamic design and performance assessment of vehicles; 

b. Manipulation of noise characteristics and signature;

c. Combustion.

Modelling of Electronic Attack in a complex EME

Dr Shuja Ansari

Description:

The James Watt School of Engineering of the University of Glasgow is seeking a highly motivated graduate to undertake an exciting 3-year PhD project entitled ‘Modelling of Electronic Attack in a complex EME’ as part of the £7m DTSL funded Electromagnetic Environment Hub bringing leading groups and industrial partners working towards next generation and generation after next science and technology research and capacity building.

Electronic attack (EA) is a crucial aspect of modern warfare, involving the use of electronic systems to disrupt, disable, or degrade an adversary's electronic systems. However, the complexity of the electromagnetic environment (EME) in which EA takes place poses significant challenges for effective planning and execution of electronic attack operations. The aim of this PhD project is to develop a comprehensive model of EA operations considering systems of systems and spanning over a wide spectrum used in complex EME. The main objectives of this PhD project include:

·      To identify and understand the key factors that influence the effectiveness of electronic attack in a complex EME, including environmental factors, adversary capabilities, and system characteristics.

·      To develop a comprehensive model of electronic attack that integrates these key factors, using a combination of mathematical models, simulations, and data analysis.

·      To validate the accuracy of the model by comparing its predictions to real-world data and experimentation results.

·      To use the model to simulate different scenarios and assess the effectiveness of different EA techniques and tactics in a complex EME.

The studentship is supported by DSTL, and it will cover home tuition fees and provide a stipend at the UKRI rate (£17,688 per annum in session 2022/23) for 3 years. Interested students should email Dr Shuja Ansari at the first instance.

Battlefield Effect Assessment Using Digital Twins

Dr Shuja Ansari

Description:

The James Watt School of Engineering of the University of Glasgow is seeking a highly motivated graduate to undertake an exciting 3-year PhD project entitled ‘Battlefield Effect Assessment Using Digital Twins’ as part of the £7m DTSL funded Electromagnetic Environment Hub bringing leading groups and industrial partners working towards next generation and generation after next science and technology research and capacity building.

The complexity and unpredictability of modern warfare make it challenging to assess the impact of battlefield effects accurately. Traditional methods rely heavily on human expertise and physical experimentation, which can be costly and time-consuming. However, advances in digital twin technology offer a promising solution to this problem. Digital twin technology involves creating a virtual replica of a physical system, which can be used to simulate different scenarios and predict their outcomes. The main objectives of this PhD project include:

·      To identify and understand the key factors that influence the effectiveness of different weapons and tactics on the battlefield and integrate them into the digital twin model.

·      To develop a digital twin model of a representative battlefield environment, including terrain, structures, and key assets.

·      To validate the accuracy of the digital twin model by comparing its predictions to real-world data and experimentation results.

·      To develop guidelines and best practices for using digital twin technology for battlefield effect assessment.

The studentship is supported by DSTL, and it will cover home tuition fees and provide a stipend at the UKRI rate (£17,688 per annum in session 2022/23) for 3 years. Interested students should email Dr Shuja Ansari at the first instance.

 

Superconducting Fuses for Renewable Energy Systems

Dr Wenjuan Song and Dr Mohammad Yazdani-Asrami

Description

Renewable energy systems, such as wind turbines and solar panels, are becoming increasingly popular as we transition towards a more sustainable future. However, these systems face challenges related to their integration with the electrical grid. One of the main challenges is ensuring the safety and reliability of the electrical system. This project aims to address this challenge by developing superconducting fuses for renewable energy systems.

Superconducting fuses have the potential to provide faster and more reliable protection against overcurrent faults compared to conventional fuses. This is because they operate based on the rapid transition of a superconducting state to a normal state. The use of superconducting fuses can therefore help to prevent damage to electrical components and reduce downtime.

The successful candidate will work on the development of superconducting fuses for renewable energy systems, including the design, simulation, fabrication, and testing of prototype devices. The project will involve collaboration with industry partners and other academic researchers. The candidate will also have the opportunity to develop their skills in superconducting materials, electrical engineering, and renewable energy systems.

Superconducting Flux Pumps

Dr Wenjuan Song

Description

We are seeking a highly motivated PhD candidate to join our research team working on the development of superconducting flux pumps.

The project will focus on the design, simulation, and experimental characterization of superconducting flux pumps, which are critical components in a wide range of superconducting systems and applications, including high field magnets for fusion energy and machines. Superconducting flux pumps are used to generate high magnetic fields in superconducting magnets by pumping magnetic flux into the system without the need for an external power source. This enables more compact and efficient superconducting systems, which have important applications in fusion energy technologies.

The PhD candidate will work closely with other members of the research team to develop new approaches for designing, simulating, and testing superconducting flux pumps. The project will involve a combination of numerical simulations, and experimental measurements, and will require the candidate to have strong problem-solving skills.

Deep learning architectures for model reduction and prediction of unsteady fluid-structure interaction phenomena

Dr Wrik Mallik

Description

The unsteady flow and fluid-structure interaction due to the wing flapping of birds and insects and those around dynamically oscillating aerofoils have attracted significant interest over the last two decades. For example, the thrust generated from complex interaction of leading-edge vortices and flapping kinematics of small flyers inspires the development of efficient micro-air vehicles. Similarly, control of the complex dynamic stall phenomena generated due to pitching or heaving aerofoils can lead to better designed wind turbine and propeller blades. The flow physics observed in these phenomena are highly complex and challenging to solve. Thus, a better understanding of such phenomena over a wide range of flight and structural parameters is required before we can attempt to develop robust design and control strategies. The present challenge to this is the huge computational time and complicated experiments required to analyse such fluid-structure interaction phenomena. Thus, we need generalised techniques which can provide quick prediction over a wide range of operating conditions.

Data-driven techniques have recently become highly popular to learn and predict complex physical phenomena. Being data-driven, such models are agnostic to how the data is obtained and can provide generalised predictions. Various data-driven techniques have been employed in the recent past, but machine learning-based models developed via deep neural network architectures have proven to be highly successful of late. Popular deep neural network architectures like convolutional neural networks and long short-term memory networks have been employed in the last three-five years to efficiently learn complex flow around vortex-induced vibrations and far-field propagation of acoustic waves. These have demonstrated the huge potential of deep learning networks. However, at the same time we have observed various challenges associated with such networks in learning multi-scale flows and flows around rapidly deforming boundaries. Interestingly, multi-scale flow and rapid deformation/movement of the solid boundary are expected during the flow separation and vortex shedding due to dynamic stall and flapping flight. Thus, we need to develop new deep learning-based models to develop better low-dimensional and scalable modelling techniques for dynamic stall around aerofoils and flapping flight of small flyers. The research will explore the state-of-the-art neural network architectures and geometric nature of the flow phenomena to devise new strategies of generalised deep learning-based model development.

Prerequisite skills: undergraduate courses in fluid mechanics and numerical methods, programming skills in Matlab or Python. Familiarity with computational fluid dynamics and machine learning is a plus.

To discuss about potential research activities and projects contact me directly at: Wrik.Mallik@glasgow.ac.uk

Parametric level set methods for aerofoil morphing and aerodynamic shape optimization

Dr Wrik Mallik

Description

Morphing and shape optimisation have recently attracted significant research interest. The ability to optimise aerofoil shapes to reduce the drag due to shock waves at high-speed flow has been recently demonstrated. Similar demonstrations of reduction in skin friction at low speed attached flow via shape optimisation is also recently published. However, we also need to demonstrate if we can reduce flow separation and stall at high angles of attack via shape optimisation. Similarly, shape morphing can enable us to completely change slender body configuration to enhance its thrust, stability and drag. This enables us to design bio-inspired shapes observed in various flying organisms, which are often immensely efficient and well-evolved. Such aerofoil shape morphing, and complex aerofoil shape optimisation require general shape representing methods, which can represent even complex shape and topology changes. Furthermore, we need to be able to define such shapes with the help of a few parameters so that we can include these into online shape control and optimisation algorithms seamlessly. This motivates the exploration of level set methods for this research.

Level set methods are a well-known technique of representing even complex shapes and topologies implicitly, on a fixed and uniform Cartesian grid. Over the last decade various radial basis function-based parameterisation of level set methods have been developed, which have immensely popularised their usage for topology optimisation.  However, the very large number of design variables associated with the conventional use of such parametric level sets have made them less popular and computationally expensive than other popular techniques for shape optimisation. This research will explore a new approach of employing parametric level set methods for shape optimisation and morphing of aerofoils via polynomial perturbation. The project will involve shape optimisation and morphing via the parametric level sets and comparison with other state-of-the-art shape optimisation techniques.

Prerequisite skills: programming skills in Matlab or Python and undergraduate coursework in fluid and/or structural mechanics required. Interest in computer graphics and engineering optimisation are a plus but not essential.

To discuss about potential research activities and projects contact me directly at: Wrik.Mallik@glasgow.ac.uk