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Minimization of release bearing load loss in a clutch system for high-speed rotations using the differential evolution algorithm

  • Alper Karaduman has a Ph.D. degree from Bursa Uludag University, Turkey. His research interests are the optimum design of vehicle components and meta-heuristic optimization algorithms.

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Published/Copyright: November 4, 2022
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Abstract

Diaphragm spring is a critical part of a clutch system because it affects the release bearing load characteristics directly and that determines the quality of disengagement. Bearing load provides required clamping for coupling however it may vary significantly during the engagement/disengagement process. A significant drop in bearing load may be experienced especially for high engine velocities for certain bearing displacement due to centrifugal forces occurring on the fingertips of diaphragm springs. The falling in release bearing load is undesirable for comfortable driving and clutch performance. This problem has not been addressed clearly in technical literature. In this study, the diaphragm spring for a C-segment passenger car is optimized using a differential evolutionary algorithm, and an optimized diaphragm was manufactured for testing. The load-bearing characteristics of the optimized diaphragm were compared with those of the currently available diaphragm spring. Loss of bearing load occurring in high-speed rotations was significantly reduced for the optimized diaphragm. Parameters influencing the performance were identified using parameter influence analysis, and a robust disengagement behavior was actualized using the optimization process.


Corresponding author: Huseyin Lekesiz, Mechanical Engineering Department, Bursa Technical University, 16310, Bursa, Turkey, E-mail:

Award Identifier / Grant number: 5160065

About the author

Alper Karaduman

Alper Karaduman has a Ph.D. degree from Bursa Uludag University, Turkey. His research interests are the optimum design of vehicle components and meta-heuristic optimization algorithms.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This work was supported by the Scientific and Technological Research Council of Turkey (TÜBİTAK), Grant No: 5160065 under TEYDEB 1505 with collaboration between Bursa Technical University and Valeo Company in Turkey.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Published Online: 2022-11-04
Published in Print: 2022-11-25

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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