Fatigue Life and Lightweight Design of Demolition Robot Rotary Joint Based on Topology Optimization

As a critical component of demolition robots, the rotary joint supports the entire manipulator arm and operates under severe loading conditions, rendering it highly susceptible to fatigue failure. To address this challenge, topology optimization is integrated into the structural design to simultaneously enhance fatigue life and achieve lightweighting. In this work, multiple working conditions of the demolition robot are considered and analyzed to identify the extreme operating condition. By extracting the resultant stress on the rotary joint from the assembled structure under the extreme condition, an equivalent model of the independent rotary joint is established. Given that topology optimization based on the original structure could not yield a usable structure, two topology optimization strategies based on resetting the design space are proposed, including topology optimization based on the partially filled design space and topology optimization within the fully filled design space. By performing topology optimization under different schemes, the optimized rotary joint models are reconstructed through geometric fusion. Numerical results demonstrate that the optimized rotary joints exhibit significant improvements in fatigue performance, with fatigue life doubled compared to the original design. Concurrently, the structural mass is effectively reduced. This proposed method achieves the dual objectives of fatigue life enhancement and lightweight design. Furthermore, the results reveal that resetting the design space when topology optimization fails to obtain a usable structure yields superior topology optimization outcomes, providing a valuable new insight for future structural optimization design processes in similar engineering scenarios.

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Publication Details

Journal
Machines
Published
2026-01-29
DOI
https://doi.org/10.3390/machines14020154
Primary Topic
Topology Optimization in Engineering
Type
article
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article

Fatigue Life and Lightweight Design of Demolition Robot Rotary Joint Based on Topology Optimization

Hui Li, Xi Zhang, Zheng-Yang Li, Yan Du et al.
Machines
Topology Optimization in Engineering
article

Fatigue Life and Lightweight Design of Demolition Robot Rotary Joint Based on Topology Optimization

Hui Li, Xi Zhang, Zheng-Yang Li, Yan Du, Xizhong Cui, Jianwei Zhao, Wendi Dong, Chentao Yao, Zhuangwei Niu
article en

Abstract

As a critical component of demolition robots, the rotary joint supports the entire manipulator arm and operates under severe loading conditions, rendering it highly susceptible to fatigue failure. To address this challenge, topology optimization is integrated into the structural design to simultaneously enhance fatigue life and achieve lightweighting. In this work, multiple working conditions of the demolition robot are considered and analyzed to identify the extreme operating condition. By extracting the resultant stress on the rotary joint from the assembled structure under the extreme condition, an equivalent model of the independent rotary joint is established. Given that topology optimization based on the original structure could not yield a usable structure, two topology optimization strategies based on resetting the design space are proposed, including topology optimization based on the partially filled design space and topology optimization within the fully filled design space. By performing topology optimization under different schemes, the optimized rotary joint models are reconstructed through geometric fusion. Numerical results demonstrate that the optimized rotary joints exhibit significant improvements in fatigue performance, with fatigue life doubled compared to the original design. Concurrently, the structural mass is effectively reduced. This proposed method achieves the dual objectives of fatigue life enhancement and lightweight design. Furthermore, the results reveal that resetting the design space when topology optimization fails to obtain a usable structure yields superior topology optimization outcomes, providing a valuable new insight for future structural optimization design processes in similar engineering scenarios.

MachinesVol. 14(2)
China Tobacco (CN), Binzhou People's Hospital (CN), Institute of New Materials (CN), University of Science and Technology Beijing (CN)
Sustainable cities and communities
Openalex Percentile: Top 74%
Topology Optimization in Engineering
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