Open AccessLightweight Design of Palletizing Manipulator Based on Structural Performance Influence Analysis
Author(s) -
Haiyan Hua,
Xiaolei Yan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/964/1/012012
Subject(s) - parallelogram , computer science , decomposition , task (project management) , mathematical optimization , engineering , artificial intelligence , robot , mathematics , systems engineering , ecology , biology
In order to better coordinate the structural performance with lightweight goal, multi-stage lightweight strategy based on structural performance influence analysis is proposed. The framework of knowledge-guided lightweight design with multiple behavior routes was constructed firstly. Some behavior routes, such as initial structural design, lightweight optimization combined with structural performance influence analysis and knowledge-guided lightweight optimization, were designed in this section. Secondly, the decomposition of decision task and the multi-stage lightweight decision based on structural performance influence knowledge were discussed. Finally, the palletizing manipulator with parallelogram leveling mechanism was taken as an example to apply proposed strategy. Comparing with the initial optimization model in the first stage, the total weight of the components after multi-stage lightweight has been reduced by 23.37%, but the maximum stress of total manipulator only increased by 10.3Mpa, which shows the significant effect of lightweight.