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Original Articles

Analysis and optimization of clutch judder based on a hybrid uncertain model with random and interval variables

, , , , &
Pages 1894-1913 | Received 11 Jun 2017, Accepted 18 Dec 2017, Published online: 06 Feb 2018
 

ABSTRACT

Clutch judder has serious impacts on the noise, vibration and harshness performance. In this article, a simplified dynamic model with nonlinear friction torque is developed to simulate clutch judder, and the stability and dynamic response of the clutch are analysed. The real part of the judder modal eigenvalue, the moment when the clutch enters the stick state and the fluctuation level of the driving part of the clutch are treated as the evaluation indices. An uncertain hybrid model with random and interval variables is used to describe the uncertainty of parameters and a hybrid perturbation vertex method is formulated to compute the uncertainty. Furthermore, parameters with high sensitivities are used as design variables and uncertainty-based optimization is conducted to reduce clutch judder. The optimization results strongly validate that the proposed method is very effective in improving the robustness of the clutch judder performance.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work is supported by the International Science & Technology Cooperation Program of China [contract number 2016YFE0102200]. The authors also acknowledge funding from the Research Project of the China Postdoctoral Science Foundation and the Science Fund of the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body [grant number 51375001] and the Research Project of the State Key Laboratory of Mechanical Systems and Vibration [MSV201711].

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