Course Catalogue

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This course prepares the students for development and advanced application of Computational and Experimental Fluid Dynamic methods for real-world engineering problems.

2 lectures per week

Mandatory Entry Requirements

None

Recommended Entry Requirements

Ability to program a computer in any language (e.g. Matlab, C, Python, etc.) , familiarity with calculus, and linear algebra.

None

None

100% Report

This module is assessed through course work that involves development, demonstration and validation of computational and experimental techniques for the analysis of practical engineering problems. The students are expected to be competent in fluid mechanics, numerical methods and computer programming so that they can complete the theoretical and practical aspects of the module

Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non-Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 

The aims of this course are to:

■ introduce the student to the various aspects of a Computational Fluid Dynamics (CFD) simulation;

■ Introduce students to the tools available for experimental analysis of a fluid flow;

■ impart both a foundational as well as a working knowledge of CFD and experimental measurement.

By the end of this course students will be able to:

■ classify Computational Fluid Dynamics (CFD) methods according to their accuracy, efficiency and range of applicability, and select methods suitable for each class of problems (compressible, incompressible, unsteady, moving boundaries etc);

■ state the fundamentals of solution methods for Partial Differential Equations;

■ perform stability analysis of CFD schemes, and assess their convergence and consistency of solutions, and evaluate the applicability/feasibility of a particular model, its limitations

■ develop discretization schemes for the Navier-Stokes equations in 2 dimensions set up and compute advanced flow cases using ready-made methods;

■ state unambiguously the principles behind an experimental technique and evaluate the most appropriate experimental method to use based upon complexity, cost, and the expectations of the experiment

■ set up and perform an experiment, including calibration of the instruments, and develop the tools for the data analysis and presentation of results.

Students must submit at least 75% by weight of the components of the course's summative assessment.

Students must attend the timetabled laboratory classes.