Robust Design Optimization for the Mechanical Claw of Novel Intelligent Sanitation Vehicles Tongji University

Format:

Book

Conference/Event

Author/Creator:

Xu, Xiang, author.

Contributor:

Chen, Jiawei

Chen, Xinbo

Gao, Yunkai

Li, Yan

Liu, Zhe

Qiao, Yiran

Zhong, Jian

Conference Name:

SAE WCX Digital Summit (2021-04-13 : Live Online, Pennsylvania, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2021

Summary:

The mechanical claw is an important functional part of intelligent sanitation vehicles. Its performance significantly influences the functional reliability and structural safety of intelligent sanitation vehicles. The load of the trash changes extensively during the work of the mechanical claw. Hence, a comprehensive consideration of structural uncertainty during designing is needed to meet performance requirements. Uncertainty optimization design should be applied to reduce the sensitivity of structural performance to uncertain factors and ensure the robust performance of the mechanical paw structure. In this study, a numerical model of the mechanical claw of novel intelligent sanitation vehicles is established first in SolidWorks, and a finite element model is built by Optistruct. Based on the analysis of uncertain load factors of the mechanical claw, a robust mathematical model of uncertain factors is established by the Gauss-Chebyshev and Smolyak algorithm. Finally, a robust topology optimization method considering uncertain loads is proposed. Results show the robust optimization design can improve the comprehensive performance of the mechanical claw. This study puts forward a feasible robust design idea for the mechanical claw of novel intelligent sanitation vehicles

Notes:

Vendor supplied data

Publisher Number:

2021-01-0839

Access Restriction:

Restricted for use by site license