Topology and Parameterization based Multi-Objective Optimization of Delta Parallel Robot Arm

Fengyufan Yang, Lizhe Wang, Min Chen, Quan Zhang

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Lightweight and high stiffness are the two fundamental but conflicting objectives for the robotic arm design. This paper proposed an integrated structure optimization approach for the multi-objective design. Firstly, general topology optimization is used to determine the initial frame of the structure, from which the multiple design variables are considered. Then the sensitivity analysis and response surface methods (RSM) are adopted to filter the key parameters for the further optimal design. Finally, the effectiveness of this integrated method is illustrated by a Delta robot arm. Compared with the initial model, the deformation, mass, and stress of Delta robot arm of the final optimal design decrease prominently, reaching approximately 3.125%, 22.22%, and 18.08%, respectively.

Original languageEnglish
Title of host publication2021 WRC Symposium on Advanced Robotics and Automation, WRC SARA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages212-217
Number of pages6
ISBN (Electronic)9781665418232
DOIs
Publication statusPublished - 2021
Event3rd WRC Symposium on Advanced Robotics and Automation, WRC SARA 2021 - Beijing, China
Duration: 11 Sept 202111 Sept 2021

Publication series

Name2021 WRC Symposium on Advanced Robotics and Automation, WRC SARA 2021

Conference

Conference3rd WRC Symposium on Advanced Robotics and Automation, WRC SARA 2021
Country/TerritoryChina
CityBeijing
Period11/09/2111/09/21

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