MULTI-OBJECTIVE ROBUST OPTIMIZATION DESIGN OF COMPLIANT HINGE BASED ON BP NEURAL NETWORK (MT)
In order to improve the robustness of the compliant hinge, genetic algorithm and BP neural network methods are introduced to optimize the parameters of the compliant mechanism. Orthogonal experiments are used to select training parameters and test parameters, a BP neural network model is established...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2023-01-01
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| Series: | Jixie qiangdu |
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| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2023.04.014 |
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| author | WU JianJun LI JiaHui |
| author_facet | WU JianJun LI JiaHui |
| author_sort | WU JianJun |
| collection | DOAJ |
| description | In order to improve the robustness of the compliant hinge, genetic algorithm and BP neural network methods are introduced to optimize the parameters of the compliant mechanism. Orthogonal experiments are used to select training parameters and test parameters, a BP neural network model is established, and by using the nonlinear fitting ability of the neural network and the global search and optimization ability of genetic algorithm. The flexibility and natural frequency signal-to-noise ratio are used to find the global optimum in the selection range for single and multi-objectives. It is not only limited to the permutation and combination of selected factor levels, but also provides a new solution to improve the compliance hinge robustness. The experimental results show that the comprehensive evaluation function of the compliant hinge is better, which achieves the purpose of robust optimization design, and proves the effectiveness of the method. |
| format | Article |
| id | doaj-art-84d656bfdea9413bb716fe81ad2ea524 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2023-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-84d656bfdea9413bb716fe81ad2ea5242025-01-15T02:41:03ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692023-01-0185686142277999MULTI-OBJECTIVE ROBUST OPTIMIZATION DESIGN OF COMPLIANT HINGE BASED ON BP NEURAL NETWORK (MT)WU JianJunLI JiaHuiIn order to improve the robustness of the compliant hinge, genetic algorithm and BP neural network methods are introduced to optimize the parameters of the compliant mechanism. Orthogonal experiments are used to select training parameters and test parameters, a BP neural network model is established, and by using the nonlinear fitting ability of the neural network and the global search and optimization ability of genetic algorithm. The flexibility and natural frequency signal-to-noise ratio are used to find the global optimum in the selection range for single and multi-objectives. It is not only limited to the permutation and combination of selected factor levels, but also provides a new solution to improve the compliance hinge robustness. The experimental results show that the comprehensive evaluation function of the compliant hinge is better, which achieves the purpose of robust optimization design, and proves the effectiveness of the method.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2023.04.014Compliant mechanismFlexibilityBP neural networkRobust optimizationGenetic algorithm |
| spellingShingle | WU JianJun LI JiaHui MULTI-OBJECTIVE ROBUST OPTIMIZATION DESIGN OF COMPLIANT HINGE BASED ON BP NEURAL NETWORK (MT) Jixie qiangdu Compliant mechanism Flexibility BP neural network Robust optimization Genetic algorithm |
| title | MULTI-OBJECTIVE ROBUST OPTIMIZATION DESIGN OF COMPLIANT HINGE BASED ON BP NEURAL NETWORK (MT) |
| title_full | MULTI-OBJECTIVE ROBUST OPTIMIZATION DESIGN OF COMPLIANT HINGE BASED ON BP NEURAL NETWORK (MT) |
| title_fullStr | MULTI-OBJECTIVE ROBUST OPTIMIZATION DESIGN OF COMPLIANT HINGE BASED ON BP NEURAL NETWORK (MT) |
| title_full_unstemmed | MULTI-OBJECTIVE ROBUST OPTIMIZATION DESIGN OF COMPLIANT HINGE BASED ON BP NEURAL NETWORK (MT) |
| title_short | MULTI-OBJECTIVE ROBUST OPTIMIZATION DESIGN OF COMPLIANT HINGE BASED ON BP NEURAL NETWORK (MT) |
| title_sort | multi objective robust optimization design of compliant hinge based on bp neural network mt |
| topic | Compliant mechanism Flexibility BP neural network Robust optimization Genetic algorithm |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2023.04.014 |
| work_keys_str_mv | AT wujianjun multiobjectiverobustoptimizationdesignofcomplianthingebasedonbpneuralnetworkmt AT lijiahui multiobjectiverobustoptimizationdesignofcomplianthingebasedonbpneuralnetworkmt |