Vehicle development, faster.


JRM collaborated with Catesby Projects to develop high-performance aerodynamic and cooling systems using computational fluid dynamics (CFD) methodologies.

The JRM RR23 is a track-focused, road-legal supercar produced by JRM Group in commemoration of its World Championship win with the Nissan GT-R Nismo GT1. Only 23 units of this special-edition model will be produced, and it inherits over 10 years’ worth of motorsport DNA from operating at the highest level of GT3 racing.

150 million cells model

For the JRM RR23, a fully representative CFD model was generated to analyse the radiator mass-flows to different conceptual radiator layouts. CFD simulations were used to quantify the radiator mass-flows and visualise the flow direction, allowing for informed, data-driven design decisions. The engineering challenge was to retrospectively enhance the cooling flow while adhering to strict packaging constraints and maintaining the aerodynamic performance of the vehicle.

Using CFD
as a diagnostic tool

One of the key advantages of CFD was the ability to quickly iterate through many different radiator layout configurations to help with packaging decisions. CFD simulations helped identified leak paths and large back-pressures on the main coolant and oil cores, which were attributed to a contraction within the downstream duct. Simple solutions, such as sealing of leak paths and maximising the volume behind the core, were used to increase mass flows.

The engineering challenges that were faced are commonly experienced whenever a vehicle with any type of powertrain is modified to generate more performance, be that ICE or EV.

Improving overall performance

CFD was also used to accurately align the upstream duct surfaces to the local flow direction, in order to minimise the large-scale separations within the ducts that reduce flow energy and compromise cooling performance. Simulations supplied design engineers critical data in order to make informed design decisions but also presented project managers with proposed solutions to help accurately estimate downstream costs and timescales.