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International Journal of Automotive Technology > Volume 24(6); 2023 > Article
International Journal of Automotive Technology 2023;24(6): 1567-1575.
doi: https://doi.org/10.1007/s12239-023-0126-2
DUAL CLUTCH TRANSMISSION PERFORMANCE ANALYSIS USING THE MGMS-GA FRICTION MODEL: EFFECT OF THE PISTON SEAL
Rashad Mustafa 1, Ali Abdo 2, Jamal Siam 2, Ferit Küçükay 3
1Birzeit University
2Birzeit University
3Technical University
PDF Links Corresponding Author.  Rashad Mustafa  , Email. rimustafa@birzeit.edu
ABSTRACT
The increasing demand for spontaneity, comfort, and efficiency leads to the increasing complexity of dual-clutch transmissions and their shift controls. Friction modeling of piston seals plays an essential role in achieving a better understanding of the determinant factors of energy losses and, consequently, the realization of more efficient transmission hydraulic actuators. This paper studies the performance of a dual-clutch transmission during the gear-shifting process of a vehicle power train model. The Modified Generalized Maxwell-Slip friction model with Genetic Algorithm (MGMS-GA) parameters identification is used to include the effect of seal types. The gear shift comfort analysis and evaluation, with four different seal types, has been performed based on objectification. Simulations with O-Ring, D-Ring, Bonded, and Total Control System - Polytetrafluoroethylene piston seals were performed to show the validity of the model in practical scenarios. The study shows the superiority of the MGMS-GA in representing the experimental data and enhancing gearshift control and comfort. Moreover, it showed that the Total Control System-Polytetrafluoroethylene piston seal presented the highest performance among all seal types.
Key Words: Dual clutch transmission, Friction modeling, Piston seal, Generalized maxwell model, Modified generalized maxwell model, Genetic algorithm, Shift comfort, Objectification
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