Optimising Bentley Blower Performance using 1D CFD Simulation Techniques

This project utilises 1D Computational Fluid Dynamics (CFD) to optimise the 1920s Bentley Blower engine, replacing high-risk physical trial-and-error with virtual prototyping. Using Ricardo WAVE, a “digital twin” was developed with 97.94% accuracy against dynamometer data. Through parametric studies of re-boring, intake, camshaft kinematics, porting, and compression ratios, a Pareto-optimal configuration was identified. This configuration achieved a 16.8% increase in peak power (275.61 BHP) and a 26.2% boost in mid-range torque. The study proves that modern simulation effectively unlocks vintage engine performance and improves thermodynamic efficiency while safeguarding the mechanical integrity of irreplaceable historic artifacts.

Download my project document



https://www.linkedin.com/in/spencer-potts-b05016253?

Type of employment sought
Having completed a BEng(Hons) in Automotive and Motorsport Engineering and gained experience within future product feasibility, heritage racing projects at Bentley, alongside Formula Student, I am seeking a post-graduate opportunity to my career journey within the automotive sector.


Areas available to work
A location within the Midlands of the UK would be ideal, though I would consider re-location for the right oppotunity.



Contact Spencer