دورية أكاديمية
Optimization and Optimization Design of Gear Modification for Vibration Reduction Based on Genetic Algorithm
| العنوان: | Optimization and Optimization Design of Gear Modification for Vibration Reduction Based on Genetic Algorithm |
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| المؤلفون: | Lingyan Zhang, Shuicai Qiu |
| المصدر: | Tehnički Vjesnik, Vol 31, Iss 5, Pp 1614-1623 (2024) |
| بيانات النشر: | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Engineering (General). Civil engineering (General) |
| مصطلحات موضوعية: | genetic algorithm, gear modification, meshing impact, modification optimization, vibration reduction optimization, Engineering (General). Civil engineering (General), TA1-2040 |
| الوصف: | In order to determine the gear modification parameters accurately, genetic algorithm was introduced to reduce the fluctuation of the gear transmission error, and the gear modification parameters were optimized with high precision. The results show that the gear modification parameters determined by this method are accurate and effective, can avoid the meshing impact, and can greatly reduce the dynamic transmission error fluctuation of the gear. Compared with the direct use of finite element method for gear modification optimization, the calculation time of this algorithm is reduced from 26.81 d to 2.24 h. Genetic algorithm is used to optimize the weights of the hidden layer and output layer of the radial basis neural network. Finally, genetic algorithm is used to rationally select the crossover probability and mutation probability to optimize the gear design. By analyzing the influence of each design variable on the error fluctuation of gear transmission, the optimal combination of design variables is obtained. Then the tooth surface of the gear pair is optimized twice, and the optimal modification optimization scheme is obtained. Finally, the gear contact analysis is used to verify and optimize the design of the two-stage helical gear reducer. The results show that the performance of this algorithm is better than the original genetic algorithm and the design efficiency is high. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1330-3651 1848-6339 |
| Relation: | https://hrcak.srce.hr/file/463045; https://doaj.org/toc/1330-3651; https://doaj.org/toc/1848-6339 |
| DOI: | 10.17559/TV-20240301001360 |
| URL الوصول: | https://doaj.org/article/8d0668cb0aa345d588940a1ab316fba3 |
| رقم الأكسشن: | edsdoj.8d0668cb0aa345d588940a1ab316fba3 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 13303651 18486339 |
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| DOI: | 10.17559/TV-20240301001360 |