Virtual Exhaust Prototyping System (VExPro)
CLOSE

Campus Map

Working with Coventry University

Working at Coventry University

Coventry University is a diverse and exciting place to work and we share the enthusiasm of our staff and students to be the best at whatever they choose to do. As one of the City’s biggest employers, we offer some impressive benefits for our staff and are committed to delivering the very best opportunities. We have a comprehensive training, personal and professional development programme that provides our employees with the skills to enhance their performance in the workplace and grow in their careers. There are pension schemes, a generous holiday allowance and flexible working opportunities as well as lifestyle benefits including childcare vouchers, discounted membership to the £4 million sports and recreation centre and schemes such as Cycle to Work and the CU Car Share initiative.

View current job vacancies.

LOG IN TO THE COVENTRY UNIVERSITY SITE

Staff portal

Access the central point of information for all staff across the University.

LOG IN TO THE STAFF PORTAL

Student Portal

Check your assessments, access Solar and get course information.

LOG IN TO THE STUDENT PORTAL

Virtual Exhaust Prototyping System (VExPro)


Funder

TSB (Innovate UK)

Value

£780,528.00

Collaborators

Coventry University, Unipart Eberspacher Ltd and Institute for Advanced Manufacturing Engineering


Project Objectives

The aim of this project is to optimise the throughput of multi-disciplinary and multi-physics optimisation problems.

The project will focus on optimising a lightweight exhaust system encompassing areas of thermo-mechanical, mechanical, acoustics, vibration, manufacturing and light-weighting analysis and design in a High Performance Computing (HPC) Environment.

The project will explore the aspect of numerical accuracy and uncertainty between physical principles, theory, mathematical modelling and analytical methods. This will be achieved by “scaling” model complexities in order to “harmonise” multi-physics computing requirements, run time and accuracy. 

Research Impact

The project aim is to investigate the potential trade-off between accuracy and the computing time in a multi-physics and multi-disciplinary optimisation context by defining, developing and validating (against physical experimentation) an optimisation algorithm for HPC computing with an ultimate aim of eliminating the use of prototypes.