Systematic CFD parameter approach to improve torque converter simulation
Document Type
Article
Publication Date
4-8-2019
Department
Department of Mechanical Engineering-Engineering Mechanics
Abstract
A systematic parametrization approach was employed to simulate a torque converter operating over a wide range of speed ratios. Results of the simulation yielded torque converter impeller and turbine torques prediction errors below 11% when compared to manufacturer data. Further improvements in the computational fluids dynamic (CFD) model reduced such errors down to 3% for the impeller and 6% for the turbine torque predictions. Convergence was reached well under 300 iterations for the most optimal variable setting, but each speed ratio was let to run for 300 iterations. Solution time for the 300 iterations was 40 minutes per speed ratio. The systematic parametrization provides a very competitive procedure for torque converter simulation with reduced computational error and fast solution time.
Publication Title
SAE International
Recommended Citation
Rivera, E. D.,
Robinette, D. L.,
Blough, J. R.,
Anderson, C.,
&
Frait, S.
(2019).
Systematic CFD parameter approach to improve torque converter simulation.
SAE International,
12(2), 99-109.
http://doi.org/10.4271/06-12-02-0008
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/219
Publisher's Statement
©2019 SAE International. All Rights Reserved. Publisher’s version of record: https://doi.org/10.4271/06-12-02-0008