Course Catalogue

Computational and Experimental Fluid Dynamics 5 ENG5307

  • Academic Session: 2026-27
  • School: School of Engineering
  • Credits: 10
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 2
  • Available to Visiting Students: Yes
  • Collaborative Online International Learning: No
  • Curriculum For Life: No

Short Description

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

Timetable

2 lectures per week

Requirements of Entry

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.

Excluded Courses

None

Co-requisites

None

Assessment

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

Course Aims

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.

Intended Learning Outcomes of Course

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);

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

■ set up and compute an advanced flow case using suitable software packages

■ 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 following the appropriate safety guidelines, including calibration of the instruments to industry standards

■ develop the tools for the data analysis and presentation of results and evaluate the quality of the experimental data

■ critically evaluate the results in the context of technical literature and present results in the form of a group report.

Minimum Requirement for Award of Credits

No exceptions