Geometrical profile optimization of elliptical flexure hinge using a modified particle swarm algorithm

Authors:
Guimin Chen;Jianyuan Jia;Qi Han
Affiliations:
School of Electronical and Mechanical Engineering, Xidian University, Xi'an, China;School of Electronical and Mechanical Engineering, Xidian University, Xi'an, China;School of Electronical and Mechanical Engineering, Xidian University, Xi'an, China
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Year:
2005

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Abstract

Elliptical flexure hinges are one of the most widely used flexure hinges for its high flexibility. To design elliptical flexure hinges of best performance, the author proposed a modified particle swarm optimization (MPSO) search method, where an exponentially decreasing inertia weight is deployed instead of a linearly decreasing inertia weight. Simulations indicate that the MPSO method is very effective. The optimal design parameters including the cutout configuration and the minimum thickness are obtained.