Simulation-Based Reliability Design Optimization Method for Industrial Robot Structural Design
Robots are main elements in Industry 4.0. Research on the design optimization of robots has a great significance in manufacturing industries. There inevitably exist various uncertainties in robot design that have an important influence on the reliability of robots. At present, the design optimizatio...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/6/3776 |
| _version_ | 1797613623807311872 |
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| author | Li-Xiang Zhang Xin-Jia Meng Zhi-Jie Ding Hong-Xiang Han |
| author_facet | Li-Xiang Zhang Xin-Jia Meng Zhi-Jie Ding Hong-Xiang Han |
| author_sort | Li-Xiang Zhang |
| collection | DOAJ |
| description | Robots are main elements in Industry 4.0. Research on the design optimization of robots has a great significance in manufacturing industries. There inevitably exist various uncertainties in robot design that have an important influence on the reliability of robots. At present, the design optimization of robots considering the uncertainties is mainly focused on joints design and trajectory optimization. However, for the structural design of robots, deterministic design optimization still plays a leading role. In this paper, a simulation-based reliability design optimization method is proposed to improve the reliability of robots’ structural design. In the proposed method, the Latin hypercube sampling (LHS), computer simulation, response surface method (RSM) and SORA (Sequential Optimization and Reliability Assessment) algorithm are integrated to complete the structural design of the robot. Firstly, samples of the uncertainty design variables were obtained by LHS, and then, the reliability performance constraint functions were firstly constructed through the RSM in which the joint simulation of MTLAB and ANSYS was adopted. Afterwards, the reliability design optimization model was established on the basis of the probabilistic reliability theory. At last, the SORA algorithm was employed to realize the optimization. The design optimization problems of the big arm and the small arm of a 6 Kg industrial robot were considered to verify the proposed method. The results showed that the weights of the big arm and the small arm were, respectively, reduced by 7.73% and 25.70% compared with those of the original design, and the design was more effective in ensuring the reliability requirements compared with the deterministic optimization. Moreover, the results also demonstrated that the proposed method has a better computational efficiency compared with the reliability design optimization of the double-loop method. |
| first_indexed | 2024-03-11T06:58:28Z |
| format | Article |
| id | doaj.art-4926f5a7dee94e6282bbe2548c3ac1f8 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T06:58:28Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4926f5a7dee94e6282bbe2548c3ac1f82023-11-17T09:26:44ZengMDPI AGApplied Sciences2076-34172023-03-01136377610.3390/app13063776Simulation-Based Reliability Design Optimization Method for Industrial Robot Structural DesignLi-Xiang Zhang0Xin-Jia Meng1Zhi-Jie Ding2Hong-Xiang Han3School of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan 056038, ChinaSchool of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan 056038, ChinaSchool of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan 056038, ChinaWeihai Zaiyuan Automation Equipment Co., Ltd., Weihai 264200, ChinaRobots are main elements in Industry 4.0. Research on the design optimization of robots has a great significance in manufacturing industries. There inevitably exist various uncertainties in robot design that have an important influence on the reliability of robots. At present, the design optimization of robots considering the uncertainties is mainly focused on joints design and trajectory optimization. However, for the structural design of robots, deterministic design optimization still plays a leading role. In this paper, a simulation-based reliability design optimization method is proposed to improve the reliability of robots’ structural design. In the proposed method, the Latin hypercube sampling (LHS), computer simulation, response surface method (RSM) and SORA (Sequential Optimization and Reliability Assessment) algorithm are integrated to complete the structural design of the robot. Firstly, samples of the uncertainty design variables were obtained by LHS, and then, the reliability performance constraint functions were firstly constructed through the RSM in which the joint simulation of MTLAB and ANSYS was adopted. Afterwards, the reliability design optimization model was established on the basis of the probabilistic reliability theory. At last, the SORA algorithm was employed to realize the optimization. The design optimization problems of the big arm and the small arm of a 6 Kg industrial robot were considered to verify the proposed method. The results showed that the weights of the big arm and the small arm were, respectively, reduced by 7.73% and 25.70% compared with those of the original design, and the design was more effective in ensuring the reliability requirements compared with the deterministic optimization. Moreover, the results also demonstrated that the proposed method has a better computational efficiency compared with the reliability design optimization of the double-loop method.https://www.mdpi.com/2076-3417/13/6/3776industrial robotreliability design optimizationbig armsmall armcomputer simulation |
| spellingShingle | Li-Xiang Zhang Xin-Jia Meng Zhi-Jie Ding Hong-Xiang Han Simulation-Based Reliability Design Optimization Method for Industrial Robot Structural Design Applied Sciences industrial robot reliability design optimization big arm small arm computer simulation |
| title | Simulation-Based Reliability Design Optimization Method for Industrial Robot Structural Design |
| title_full | Simulation-Based Reliability Design Optimization Method for Industrial Robot Structural Design |
| title_fullStr | Simulation-Based Reliability Design Optimization Method for Industrial Robot Structural Design |
| title_full_unstemmed | Simulation-Based Reliability Design Optimization Method for Industrial Robot Structural Design |
| title_short | Simulation-Based Reliability Design Optimization Method for Industrial Robot Structural Design |
| title_sort | simulation based reliability design optimization method for industrial robot structural design |
| topic | industrial robot reliability design optimization big arm small arm computer simulation |
| url | https://www.mdpi.com/2076-3417/13/6/3776 |
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