Session: CIE-18-01 - VES: Technologies for VR, AR, and MR

Paper Number: 88605

88605 - Topology Optimization Realization of a Spatially Parallel Compliant Mechanism With Constant Motion Transmission Characteristics 

This paper presents a new topology optimization method of spatial compliant parallel mechanism. The constant motion transmission characteristic matrix of a special parallel mechanism (3-CPR parallel mechanism) is analyzed. The mechanism's motion characteristic matrix does not change with the change of the position and posture of the mechanism, which makes the precise positioning and precise control direction of this type of mechanism at the micro-nano scale have great prospects. Combining the matrix with topology optimization, a new multi-objective topology optimization formula of multiple input and output compliant mechanism is proposed. 

The proposed strategy is capable of optimizing the compliant mechanism free of considering the replacement of rigid hinges by flexible ones, so as to obtain a compliant mechanism with higher motion accuracy and there is a linear mapping relationship between input and output. In order to solve the common coupling problem in multi input and multi output topology optimization, a multi-objective topology optimization method with determined weight factor is proposed, which realizes that the output of the compliant mechanism after topology optimization is highly similar to the original mechanism. Through several numerical examples, it is verified that the compliant mechanism obtained by this method is isomorphic with the original parallel mechanism in kinematics.

Presenting Author: Kaixian Liang Guangzhou University

Presenting Author Biography: Kaixian Liang received the B.S. degree in mechanical engineering from the Guangzhou University, Guangzhou, China, in 2021 where he is currently working toward the M.S. degree in mechanical engineering.<br/>His research interests include compliant mechanisms, parallel robots, topology optimization, MEMS and finite- element analysis.

Authors:

Kaixian Liang Guangzhou University
Dachang Zhu Guangzhou University
Jie Liu Guangzhou University