posted on 2016-12-15, 10:00authored byDavid C. Forbes, Gary PageGary Page, Martin Passmore, Adrian P. Gaylard
This study is an evaluation of computational methods in reproducing experimental data for a generic SUV geometry
and an assessment on the influence of fixed and rotating wheels for this geometry. Initially, comparisons are made in
wake structure and base pressures between several CFD codes and experimental data. It was shown that steady-state
RANS methods are unsuitable for this geometry due to a large scale unsteadiness in the wake caused by separation at
the sharp trailing edge and rear wheel wake interactions. URANS offered no improvements in wake prediction despite
a significant increase in computational cost. DES and Lattice Boltzmann methods showed the best agreement with
experimental results in both wake structure and base pressure, with LBM running in approximately a fifth of the time
for DES.
Funding
The authors would like thank HPC-Midlands grant EP/K000063/1
who facilitated the CFD simulations. This work was supported by
Jaguar Land Rover and the UK EPSRC grant EP/K014102/1 as
part of the jointly funded Programme for Simulation Innovation.
History
School
Aeronautical, Automotive, Chemical and Materials Engineering
Department
Aeronautical and Automotive Engineering
Published in
Proc. IMechE, Part D: Journal of Automobile Engineering
Citation
PAGE, G. ... et al., 2017. A study of computational methods for wake structure and base pressure prediction of a generic SUV model with fixed and rotating wheels. Proceedings of the Institution of Mechanical Engineers. Part D, Journal of Automobile Engineering, 231 (9), pp. 1222-1238.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by-nc/4.0/
Publication date
2017
Notes
This paper was accepted for publication in the journal Proceedings of the Institution of Mechanical Engineers. Part D, Journal of Automobile Engineering and the definitive published version is available at https://doi.org/10.1177/0954407016685496.