1. KVRC_MantiumRAY_Car_2016
  2. MantiumWFlow V0.9
Geometry Overview

This is a demo case of MantiumWFlow.
MantiumWFlow is a tool to automatically setup, execute and post-process CFD simulations, resulting in a report like this one.
The philosophy is: CAD In -> Report Out.
The user more or less only has to add CAD data into specific folders with names like "frt_wheels", "rr_wheels", "vehicle_body", "high_resolution_geo",
and choose a template like "RaceCar","Bike","UAV" etc.
This approach minimizes user error and ensures comparable results for every simulation.
This is an example report of MantiumCAE's virtual race car for KVRC.

Integrated Force Coefficients
Cd Cl Cl_front Cl_rear Cd*A Cl*A Cl_front*A Cl_rear*A
0.482 -1.17 -0.192 -0.983 0.79 -1.93 -0.315 -1.61

Mass flows through heat exchangers
Porous Media Mass Flow [kg/s] Average Velocity [m/s]
RAD 0.658 4.48
CAC 1.07 7.3

This is a transient 25 million cell simulation of a KVRC race car, showing averaged results.
The increased accuracy of the transient simulation compared to a faster steady state simulation shows some nice results. Usually Navier-Stokes based steady state simulations have difficulties predicting detached flows.
Here even with the rather coarse mesh some flow separations, for example in the mid section of the rear wing can clearly be seen which would otherwise might have been predicted as attached flow. As there is even a large separation at the front wing which was not seen using steady state simulations the aerodynamic balance is very different from what was expected through previous simulations.
This shows the added value of these more computationally expensive transient CFD simulations. For more info on this car, please have a look at the KVRC homepage or here.
This simulation was supported by teideHPC.teideHPC

  1. Contact MantiumCAE for additional information or technical support!