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Multi-objective optimization of composite two-stage vibration isolation system for sensitive equipment

Wei Huang (School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei, China and Anhui Provincial Laboratory of Civil Engineering and Materials, Hefei, China)
Jian Xu (China National Machinery Industry Corporation, Beijing, China)
Dayong Zhu (School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei, China and Anhui Provincial Laboratory of Civil Engineering and Materials, Hefei, China)
Cheng Liu (School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei, China and Anhui Provincial Laboratory of Civil Engineering and Materials, Hefei, China)
Jianwei Lu (School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei, China)
Kunlin Lu (School of Civil and Hydraulic Engineering, Hefei University of Technology, Hefei, China and Anhui Provincial Laboratory of Civil Engineering and Materials, Hefei, China)

Journal of Engineering, Design and Technology

ISSN: 1726-0531

Article publication date: 3 May 2016

232

Abstract

Purpose

The purpose of this paper is to propose a novel strategy of optimal parameters configuration and placement for sensitive equipment.

Design/methodology/approach

In this study, clamped thin plate is considered as the foundation form, and a novel composite system is proposed based on the two-stage isolation system. By means of the theory of mechanical four-pole connection, the displacement amplitude transmissibility from the thin plate to precision equipment is derived. For the purpose of performing optimal design of the composite system, a novel multi-objective idea is presented. Multi-objective particle swarm optimization (MOPSO) algorithm is adopted as an optimization technique, which can achieve a global optimal solution (gbest), and selecting the desired solution from an equivalent Pareto set can be avoided. Maximum and variance of the four transmitted peak displacements are considered as the fitness functions simultaneously; the purpose is aimed at reducing the amplitude of the multi-peak isolation system, meanwhile pursuing a uniform vibration as far as possible. The optimization is mainly organized as a combination of parameter configuration and placement design, and the traversal search of discrete plate is performed in each iteration for the purpose of achieving the global optimum.

Findings

An important transmissibility based on the mechanical four-pole connection is derived, and a composite vibration isolation system is proposed, and a novel optimization problem is also defined here. This study reports a novel optimization strategy combined with artificial intelligence for parameters and placement design of precision equipment, which can promote the traditional view of two-stage vibration isolation.

Originality/value

Two-stage vibration isolation systems are widely applied to the vibration attenuation of precision equipment, but in these traditional designs, vibration participation of foundation is often ignored. In this paper, participation of foundation of equipment is considered, and a coherent new strategy for equipment isolation and foundation vibration is presented. This study shows a new vision of interdisciplinary including civil engineering, mechanical dynamics and computational science.

Keywords

Acknowledgements

This research was completely supported by National Natural Science Foundation of China, and the Grant Numbers are 51078123, 51179043. Valuable comments and suggestions by preparation experts of the national code – “Code for vibration load design of industrial building” – on the ideas carried out are gratefully acknowledged.

Citation

Huang, W., Xu, J., Zhu, D., Liu, C., Lu, J. and Lu, K. (2016), "Multi-objective optimization of composite two-stage vibration isolation system for sensitive equipment", Journal of Engineering, Design and Technology, Vol. 14 No. 2, pp. 343-361. https://doi.org/10.1108/JEDT-12-2014-0074

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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