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

Author:

Karaduman Alper12,Lekesiz Huseyin3,Yildiz Ali Riza4

Affiliation:

1. Automotive Engineering Department , Bursa Uludag University , 16059 , Bursa , Turkey

2. Valeo Automotive Systems , 16245 , Bursa , Turkey

3. Mechanical Engineering Department , Bursa Technical University , 16310 , Bursa , Turkey

4. Mechanical Engineering , Bursa Uludag University , 16059, Bursa , Turkey

Abstract

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.

Funder

Scientific and Technological Research Council of Turkey

Publisher

Walter de Gruyter GmbH

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference23 articles.

1. J. Erjavec and R. Thompson, Automotive Technology: A Systems Approach, 6th ed. NY, USA, Cengage Learning, 2014.

2. N. Kaya, “Optimal design of an automotive diaphragm spring with high fatigue resistance,” Int. J. Veh. Des., vol. 40, nos. 1–3, pp. 126–143, 2006, https://doi.org/10.1504/IJVD.2006.008457.

3. J. R. Koza, Genetic Programming II, Automatic Discovery of Reusable Subprograms, Cambridge, England, MIT Press, 1992.

4. C. Shuxin, Z. Lingyu, and C. Xingwang, “Genetic algorithm optimal design on diaphragm spring by Matlab,” in 2015 2nd International Conference on Electrical, Computer Engineering and Electronics, Hangzhou, China, Atlantis Press, 2015, pp. 186–190.

5. N. Wook-Hee, L. Choon-Yeol, C. Young, K. Jae-Do, B. Yong-Tak, and W. Seung-Wan, “A study on fatigue and durability characteristics of clutch diaphragm spring according to tempering condition,” in Seoul 2000 FISITA World Automotive Congress, Seoul, Korea, SAE Technical Papers, 2000.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3