Passive vibration control of an automotive component using evolutionary optimisation

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Published: Oct 11, 2018
Keywords:
multiobjective evolutionary algorithm shape optimisation Pareto optimal front automotive component Vibration suppression

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N. Pholdee
Department of Mechanical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen, Thailand 40002
S. Bureerat
Department of Mechanical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen, Thailand 40002

Abstract

In this paper, the use of multiobjective evolutionary optimisers for passive vibration suppression of an automotive component is demonstrated. The component is used to connect a car engine to some point of a car body between the front seats. Under such a circumstance, the structure is subject to several mechanical phenomena e.g. stress failure, fatigue, vibration resonance, and vibration transmissibility. The optimisation problem is posed to find structural shape and size such that maximising structural natural frequency and simultaneously minimising structural mass while constraints include stress failure and displacement. The multiobjective optimiser employed is the multiobjective version of Population-Based Incremental Learning (PBIL) with and without using a surrogate model. The optimum results obtained are illustrated and discussed. It is multiobjective evolutionary algorithm found that the proposed design scheme is effective and efficient for an automotive component design.

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How to Cite
Pholdee, N., & Bureerat, S. (2018). Passive vibration control of an automotive component using evolutionary optimisation. Journal of Research and Applications in Mechanical Engineering, 1(1), 19–23. Retrieved from https://ph01.tci-thaijo.org/index.php/jrame/article/view/150242
Issue
Vol. 1 No. 1 (2011)
Section
RESEARCH ARTICLES

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