CSO Intelligent Optimization of Drag Torque Parameters of Wet Brakes Based on the SSA-BP Approximate Model
To solve the engineering problem of power loss in wet brakes under non-braking conditions, taking into consideration the influence of the lubricating oil in the clearance of friction pairs on the drag torque of the friction pair, making use of the strong nonlinear fitting ability of the sparrow-sear...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2024-07-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.07.016 |
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| _version_ | 1841546922321510400 |
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| author | Li Jie Wang Shuai Lan Hai Wang Zhiyong |
| author_facet | Li Jie Wang Shuai Lan Hai Wang Zhiyong |
| author_sort | Li Jie |
| collection | DOAJ |
| description | To solve the engineering problem of power loss in wet brakes under non-braking conditions, taking into consideration the influence of the lubricating oil in the clearance of friction pairs on the drag torque of the friction pair, making use of the strong nonlinear fitting ability of the sparrow-search-algorithm-back propagation (SSA-BP) neural network, and taking the no-load operating condition of wet brakes as the input variable and the drag torque as the output variable, an approximate model of wet brakes is established. Compared with the traditional BP model, the prediction accuracy is obviously improved, which can meet the needs of practical engineering. In order to obtain the minimum drag torque, the working parameters are searched and optimized through chicken swarm optimization （CSO） intelligent algorithm, and the best working condition of the wet brake is obtained. The experimental results show that the drag torque and power loss between the friction pairs after optimization are significantly lower than those before optimization. This study provides theoretical research basis and engineering practice experience for the further optimization of wet brake structure. |
| format | Article |
| id | doaj-art-039dc68e6f184b178524b8b64ab0a5ea |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2024-07-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-039dc68e6f184b178524b8b64ab0a5ea2025-01-10T15:00:55ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392024-07-014812813666779400CSO Intelligent Optimization of Drag Torque Parameters of Wet Brakes Based on the SSA-BP Approximate ModelLi JieWang ShuaiLan HaiWang ZhiyongTo solve the engineering problem of power loss in wet brakes under non-braking conditions, taking into consideration the influence of the lubricating oil in the clearance of friction pairs on the drag torque of the friction pair, making use of the strong nonlinear fitting ability of the sparrow-search-algorithm-back propagation (SSA-BP) neural network, and taking the no-load operating condition of wet brakes as the input variable and the drag torque as the output variable, an approximate model of wet brakes is established. Compared with the traditional BP model, the prediction accuracy is obviously improved, which can meet the needs of practical engineering. In order to obtain the minimum drag torque, the working parameters are searched and optimized through chicken swarm optimization （CSO） intelligent algorithm, and the best working condition of the wet brake is obtained. The experimental results show that the drag torque and power loss between the friction pairs after optimization are significantly lower than those before optimization. This study provides theoretical research basis and engineering practice experience for the further optimization of wet brake structure.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.07.016Wet brakeDrag torqueSSA-BP modelCSO algorithmApproximate model |
| spellingShingle | Li Jie Wang Shuai Lan Hai Wang Zhiyong CSO Intelligent Optimization of Drag Torque Parameters of Wet Brakes Based on the SSA-BP Approximate Model Jixie chuandong Wet brake Drag torque SSA-BP model CSO algorithm Approximate model |
| title | CSO Intelligent Optimization of Drag Torque Parameters of Wet Brakes Based on the SSA-BP Approximate Model |
| title_full | CSO Intelligent Optimization of Drag Torque Parameters of Wet Brakes Based on the SSA-BP Approximate Model |
| title_fullStr | CSO Intelligent Optimization of Drag Torque Parameters of Wet Brakes Based on the SSA-BP Approximate Model |
| title_full_unstemmed | CSO Intelligent Optimization of Drag Torque Parameters of Wet Brakes Based on the SSA-BP Approximate Model |
| title_short | CSO Intelligent Optimization of Drag Torque Parameters of Wet Brakes Based on the SSA-BP Approximate Model |
| title_sort | cso intelligent optimization of drag torque parameters of wet brakes based on the ssa bp approximate model |
| topic | Wet brake Drag torque SSA-BP model CSO algorithm Approximate model |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.07.016 |
| work_keys_str_mv | AT lijie csointelligentoptimizationofdragtorqueparametersofwetbrakesbasedonthessabpapproximatemodel AT wangshuai csointelligentoptimizationofdragtorqueparametersofwetbrakesbasedonthessabpapproximatemodel AT lanhai csointelligentoptimizationofdragtorqueparametersofwetbrakesbasedonthessabpapproximatemodel AT wangzhiyong csointelligentoptimizationofdragtorqueparametersofwetbrakesbasedonthessabpapproximatemodel |