Computer Aided Engineering

Start: October

Duration: 1 year full-time, 2 years part-time.

Entry Requirements:

Typically a 1st or 2nd class UK Honours degree or equivalent in engineering, science, mathematics, computer science, information technology, communication, networks, or a related discipline. Other qualifications (eg HND or alternative) may be acceptable, provided there is evidence of sufficient relevant work experience.

Course Description:

The principal subject areas of the Computer Aided Engineering option concern software and computational techniques and their applications. The software, mathematical and computational methods form the basis of the  Curve and Surface Modelling, Solid Modelling, Finite Element Analysis and Finite Difference Analysis modules. These modules cover the application of CAD algorithms for the generation and analysis of product models used to represent the geometry of such complex artefacts as car bodies and aircraft wings.

The modules on CAE Applications and CAE Advanced Applications covers the utilisation of CAE software for design, analysis, data exchange and product life cycle management. We use the industry standard system I-DEAS extensively for this purpose.

"As well as enabling me to gain up-to-date, insightful and quality knowledge in the field of engineering software development, the course has stimulated my interest even further with seminars from leading industrial experts in the field." Alexandra Brintrup, MSc Computational and Software Techniques in Engineering, Computer Aided Engineering option.

Modules:

The modules are designed to provide students with the programming techniques required to write and use core CAE software. In this way, students are prepared for the MSc research thesis undertaken in the second half of the academic year.

• Geometric Modelling and Design
• CAE Applications and PLM
• Computational Engineering Design Optimisation
• Advanced Engineering Analysis
• Computational Engineering (Fluids)
• Advanced CAE Applications
• Advanced Graphics

Individual thesis project

Some past thesis topics have included:

• applications of neural networks to the modelling of multiphase flow from oil wells
• design optimisation of helical gear pair in helicopter transmission systems
• B-spline volume modelling
• a graphical user interface for a multiphase CFD code
• rotational symmetry for design evaluation in assembly-orientated CAD

Funding:

A variety of sources, including competitive bursaries. Please contact us for details.

For further information, please contact SoE Admissions tel: 01234 754634 or email amac@cranfield.ac.uk

Additional content

• Specialist Energy MSc opportunities