Research on Optimization of Gear Micro-modification based Genetic Algorithm
Taking the noise of a certain DCT transmission as the research object，the noise order of the second gear small throttle acceleration is determined by using whole vehicle testing technology and order analysis method. A Romax rigid-flexible coupling analysis model is established，and the micro-modifica...
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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
2022-03-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.03.016 |
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| _version_ | 1841548866693890048 |
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| author | Gang Lei Huyin Wang Ziqian Liu Yanjun Jiang Chaochao Chen Ling Qin Jiale Chen Lin Liu Binxiong Liao |
| author_facet | Gang Lei Huyin Wang Ziqian Liu Yanjun Jiang Chaochao Chen Ling Qin Jiale Chen Lin Liu Binxiong Liao |
| author_sort | Gang Lei |
| collection | DOAJ |
| description | Taking the noise of a certain DCT transmission as the research object，the noise order of the second gear small throttle acceleration is determined by using whole vehicle testing technology and order analysis method. A Romax rigid-flexible coupling analysis model is established，and the micro-modification parameters originally designed are introduced into the finite element model to conduct the test and simulation analysis of contact spot calibration. It is found that under 20% of the input rated torque，a deflection load appears in the simulation and test contact spot，which provides a correct finite element analysis model for subsequent micro-modification. In order not to affect the requirements of other acceleration conditions，a genetic algorithm is introduced to optimize the micro-modification parameters of the second gear by reducing the peak-to-peak value and load per unit length of the transmission error of the second gear. Considering the requirements of machining accuracy，the optimized micro-shape modification parameters are rounded，and the peak-to-peak value of transmission error and load per unit length of 2-gear small throttle acceleration condition are obtained，which are lower than the original design. The vehicle test data shows that the noise of the second gear is reduced by 11.36% after modification and optimization. Subjective evaluator evaluates that there is no obvious noise in the vehicle under the acceleration condition of the second gear. It shows that the application of genetic algorithm to optimize gear micro-modification has practical engineering guidance significance for reducing transmission error. |
| format | Article |
| id | doaj-art-e043316e5d434318b5ce16b4c1e420b3 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2022-03-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-e043316e5d434318b5ce16b4c1e420b32025-01-10T13:59:00ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392022-03-014610010730478235Research on Optimization of Gear Micro-modification based Genetic AlgorithmGang LeiHuyin WangZiqian LiuYanjun JiangChaochao ChenLing QinJiale ChenLin LiuBinxiong LiaoTaking the noise of a certain DCT transmission as the research object，the noise order of the second gear small throttle acceleration is determined by using whole vehicle testing technology and order analysis method. A Romax rigid-flexible coupling analysis model is established，and the micro-modification parameters originally designed are introduced into the finite element model to conduct the test and simulation analysis of contact spot calibration. It is found that under 20% of the input rated torque，a deflection load appears in the simulation and test contact spot，which provides a correct finite element analysis model for subsequent micro-modification. In order not to affect the requirements of other acceleration conditions，a genetic algorithm is introduced to optimize the micro-modification parameters of the second gear by reducing the peak-to-peak value and load per unit length of the transmission error of the second gear. Considering the requirements of machining accuracy，the optimized micro-shape modification parameters are rounded，and the peak-to-peak value of transmission error and load per unit length of 2-gear small throttle acceleration condition are obtained，which are lower than the original design. The vehicle test data shows that the noise of the second gear is reduced by 11.36% after modification and optimization. Subjective evaluator evaluates that there is no obvious noise in the vehicle under the acceleration condition of the second gear. It shows that the application of genetic algorithm to optimize gear micro-modification has practical engineering guidance significance for reducing transmission error.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.03.016Whole vehicle testContact spotTransfer errorGenetic algorithmMicro-modification |
| spellingShingle | Gang Lei Huyin Wang Ziqian Liu Yanjun Jiang Chaochao Chen Ling Qin Jiale Chen Lin Liu Binxiong Liao Research on Optimization of Gear Micro-modification based Genetic Algorithm Jixie chuandong Whole vehicle test Contact spot Transfer error Genetic algorithm Micro-modification |
| title | Research on Optimization of Gear Micro-modification based Genetic Algorithm |
| title_full | Research on Optimization of Gear Micro-modification based Genetic Algorithm |
| title_fullStr | Research on Optimization of Gear Micro-modification based Genetic Algorithm |
| title_full_unstemmed | Research on Optimization of Gear Micro-modification based Genetic Algorithm |
| title_short | Research on Optimization of Gear Micro-modification based Genetic Algorithm |
| title_sort | research on optimization of gear micro modification based genetic algorithm |
| topic | Whole vehicle test Contact spot Transfer error Genetic algorithm Micro-modification |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.03.016 |
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