Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation Effect
In the non-braking operation of the wet brake in a heavy vehicle's hybrid power transmission system, the friction pair produces a drag torque due to the power loss caused by the viscous action of the oil. In order to realize the accurate prediction of the drag torque of the flow field with the...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2024-02-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.02.016 |
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| _version_ | 1841546967368335360 |
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| author | Li Jie Lian Hailong Lan Hai Wang Zhiyong |
| author_facet | Li Jie Lian Hailong Lan Hai Wang Zhiyong |
| author_sort | Li Jie |
| collection | DOAJ |
| description | In the non-braking operation of the wet brake in a heavy vehicle's hybrid power transmission system, the friction pair produces a drag torque due to the power loss caused by the viscous action of the oil. In order to realize the accurate prediction of the drag torque of the flow field with the complex trench structure, a method is proposed to optimize the drag torque model by predicting the volume fraction of the cavitation effect through the cavitation number aiming for the prediction error caused by the air entering the flow field in advance. Firstly, the influence of rotation speed, flow rate and clearance on the volume fraction of the cavitation effect is analyzed by calculating the model under different working conditions. With the increased rotation speed, the cavitation effect volume fraction increases first and then decreases. Larger flow rates and smaller gaps will increase the maximum value of the cavitation effect volume fraction. Then, the wet brake drag torque is tested. After comparative analysis, the results show that the prediction error of the optimized model is less than 6%, and the average error is reduced by 55% compared with the model without the cavitation effect. In addition, the influence of the complexity of the trench structure on the drag torque is also studied. It is shown that the more complex the trench structure is, the smaller the drag torque is, and the radial trench has the most significant influence on the drag torque, which reduces the drag torque by nearly 25.9%. It provides support and engineering practice guidance for accurately predicting the drag torque and optimizing the friction plate structure of wet brakes. |
| format | Article |
| id | doaj-art-f3f61eebab464e5aba39c0adef002acf |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2024-02-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-f3f61eebab464e5aba39c0adef002acf2025-01-10T14:59:55ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392024-02-014811011649593913Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation EffectLi JieLian HailongLan HaiWang ZhiyongIn the non-braking operation of the wet brake in a heavy vehicle's hybrid power transmission system, the friction pair produces a drag torque due to the power loss caused by the viscous action of the oil. In order to realize the accurate prediction of the drag torque of the flow field with the complex trench structure, a method is proposed to optimize the drag torque model by predicting the volume fraction of the cavitation effect through the cavitation number aiming for the prediction error caused by the air entering the flow field in advance. Firstly, the influence of rotation speed, flow rate and clearance on the volume fraction of the cavitation effect is analyzed by calculating the model under different working conditions. With the increased rotation speed, the cavitation effect volume fraction increases first and then decreases. Larger flow rates and smaller gaps will increase the maximum value of the cavitation effect volume fraction. Then, the wet brake drag torque is tested. After comparative analysis, the results show that the prediction error of the optimized model is less than 6%, and the average error is reduced by 55% compared with the model without the cavitation effect. In addition, the influence of the complexity of the trench structure on the drag torque is also studied. It is shown that the more complex the trench structure is, the smaller the drag torque is, and the radial trench has the most significant influence on the drag torque, which reduces the drag torque by nearly 25.9%. It provides support and engineering practice guidance for accurately predicting the drag torque and optimizing the friction plate structure of wet brakes.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.02.016Wet friction pairDrag torqueCavitation effectModel optimizationTrench |
| spellingShingle | Li Jie Lian Hailong Lan Hai Wang Zhiyong Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation Effect Jixie chuandong Wet friction pair Drag torque Cavitation effect Model optimization Trench |
| title | Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation Effect |
| title_full | Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation Effect |
| title_fullStr | Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation Effect |
| title_full_unstemmed | Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation Effect |
| title_short | Optimization and Experimental Testing of the Drag Torque Model Based on the Cavitation Effect |
| title_sort | optimization and experimental testing of the drag torque model based on the cavitation effect |
| topic | Wet friction pair Drag torque Cavitation effect Model optimization Trench |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.02.016 |
| work_keys_str_mv | AT lijie optimizationandexperimentaltestingofthedragtorquemodelbasedonthecavitationeffect AT lianhailong optimizationandexperimentaltestingofthedragtorquemodelbasedonthecavitationeffect AT lanhai optimizationandexperimentaltestingofthedragtorquemodelbasedonthecavitationeffect AT wangzhiyong optimizationandexperimentaltestingofthedragtorquemodelbasedonthecavitationeffect |