Multi-objective optimization of parameters and location of passive vibration isolation system excited by clamped thin plate foundation

Authors

  • Huang Wei School of Civil and Hydraulic Engineering, Hefei university of technology, Hefei, China Anhui Provincial Laboratory of Civil Engineering and Materials, Hefei, China
  • Jian Xu China National Machinery Industry Corporation, Beijing, China
  • Da-yong Zhu School of Civil and Hydraulic Engineering, Hefei university of technology, Hefei, China Anhui Provincial Laboratory of Civil Engineering and Materials, Hefei, China
  • Ying-lei Wu School of Civil and Hydraulic Engineering, Hefei university of technology, Hefei, China Anhui Provincial Laboratory of Civil Engineering and Materials, Hefei, China
  • Jian-wei Lu School of Mechanical and Automotive Engineering, Hefei university of technology, Hefei, China
  • Kun-lin Lu School of Civil and Hydraulic Engineering, Hefei university of technology, Hefei, China Anhui Provincial Laboratory of Civil Engineering and Materials, Hefei, China

Keywords:

precision equipment, vibration isolators, thin plate, clamped, passive vibration isolation, displacement transmissibility, multi-peak system, multi-objective particle swarm optimization

Abstract

This paper reports a novel optimization strategy combined with artificial intelligence for parameters and location design of precision equipment and provides a broader view for traditional passive vibration isolation. It also considers "precision equipment-vibration isolators-thin plate foundation" as a composite passive vibration isolation system and the clamped thin plate. The vibration isolation system is considered as four-point support, and the displacement amplitude transmissibility from the thin plate to precision equipment is derived and based on the analysis of influencing factors of transmissibility; subsequently, multi-objective optimization of the composite system is performed. A novel swarm intelligence multi-objective optimization method—a multi-objective particle swarm optimization (MOPSO) algorithm is adopted in this paper which can achieve a global optimal solution and by selecting the desired solution from an equivalence relation, the whole Pareto set can be avoided. The maximum and variance of the four transmitted peak displacements are simultaneously considered as fitness functions, and the purpose is to reduce the amplitude of the multi-peak isolation system, and in the meantime,  to allow the plate to be uniformly vibrated as far as possible. Moreover, the presented idea is validated numerically, and the location research of the precision equipment mounted on the plate is also conducted.

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Published

2016-01-27

Issue

Engineering Review, Vol. 36, No. 1

Section

Articles

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