Postgraduate taught 

Aerospace Engineering & Management MSc

Computational Fluid Dynamics 4 ENG4037

  • Academic Session: 2024-25
  • School: School of Engineering
  • Credits: 10
  • Level: Level 4 (SCQF level 10)
  • Typically Offered: Semester 2
  • Available to Visiting Students: Yes
  • Collaborative Online International Learning: No

Short Description

This course introduces the various aspects of a computational fluid dynamics (CFD) simulation with emphasis on both a foundational and a working knowledge of CFD.

Timetable

2 lectures per week

Co-requisites

None

Assessment

Assessment

70% Examination

30% Project Work

Main Assessment In: April/May

Are reassessment opportunities available for all summative assessments? No

Reassessment

In accordance with the University's Code of Assessment reassessments are normally set for all courses which do not contribute to the honours classifications. 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 are listed below in this box.

 

It is not possible to offer reassessment in the project work in this course. Students failing to complete the project work, without good cause, will receive a Credit Refused (CR) grade and will be required to re-attend the course the following year.

Course Aims

This course aims to introduce the student to the various aspects of a CFD simulation and to impart both a foundational as well as a working knowledge of CFD.

Intended Learning Outcomes of Course

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

■ explain the role of computation in fluid dynamics and describe its applicability, potential and limitations;

■ describe the foundations of numerical analysis, including the importance of accuracy and stability; 

■ select appropriate numerical methods and discretization schemes for application to simple model equations; 

■ recognise the various terminologies in practical CFD (Grids, Boundary Conditions, Approximations, Schemes etc); 

■ evaluate the applicability/feasibility of a particular model, its limitations, choose the right boundary conditions, ascertain grid/time independence, verification/validation;

■ set up simple aerodynamic problems in CFD.

Minimum Requirement for Award of Credits

Students must attend the degree examination and submit at least 75% by weight of the other components of the course's summative assessment.

 

Students must attend the timetabled practical classes.

 

Students should attend at least 75% of the timetabled classes of the course.

 

Note that these are minimum requirements: good students will achieve far higher participation/submission rates.  Any student who misses an assessment or a significant number of classes because of illness or other good cause should report this by completing a MyCampus absence report.