Optimization Design of 3Z(Ⅱ) Planetary Gear Train based on Parallel Selected Genetic Algorithm
The optimization design method of 3Z( Ⅱ) planetary gear train is studied. The multiple object optimization model,whose objective functions are the minimum of volume of gear train and the maximum of transmission efficiency is built. The constrained optimization is transformed into unconstrained optim...
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Editorial Office of Journal of Mechanical Transmission
2017-01-01
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Series: | Jixie chuandong |
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Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.01.032 |
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author | Zhang Qiang Liu Zefeng |
author_facet | Zhang Qiang Liu Zefeng |
author_sort | Zhang Qiang |
collection | DOAJ |
description | The optimization design method of 3Z( Ⅱ) planetary gear train is studied. The multiple object optimization model,whose objective functions are the minimum of volume of gear train and the maximum of transmission efficiency is built. The constrained optimization is transformed into unconstrained optimization by penalty function,and a solution algorithm is proposed based on parallelism selection genetic algorithm( GA).The case shows,the proposed method can apply to the optimization methods of 3Z( Ⅱ) planetary gear train and the optimization effects are noticeable. There is much for reference of this method to other optimization of planetary gear train. |
format | Article |
id | doaj-art-007262b0a6f341cf8fd8ddf4ef7b85ad |
institution | Kabale University |
issn | 1004-2539 |
language | zho |
publishDate | 2017-01-01 |
publisher | Editorial Office of Journal of Mechanical Transmission |
record_format | Article |
series | Jixie chuandong |
spelling | doaj-art-007262b0a6f341cf8fd8ddf4ef7b85ad2025-01-10T14:39:15ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392017-01-014115115429928403Optimization Design of 3Z(Ⅱ) Planetary Gear Train based on Parallel Selected Genetic AlgorithmZhang QiangLiu ZefengThe optimization design method of 3Z( Ⅱ) planetary gear train is studied. The multiple object optimization model,whose objective functions are the minimum of volume of gear train and the maximum of transmission efficiency is built. The constrained optimization is transformed into unconstrained optimization by penalty function,and a solution algorithm is proposed based on parallelism selection genetic algorithm( GA).The case shows,the proposed method can apply to the optimization methods of 3Z( Ⅱ) planetary gear train and the optimization effects are noticeable. There is much for reference of this method to other optimization of planetary gear train.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.01.0323Z (Ⅱ) planetary gear trainMultiple object optimizationPenalty functionParallel selected genetic algorithm |
spellingShingle | Zhang Qiang Liu Zefeng Optimization Design of 3Z(Ⅱ) Planetary Gear Train based on Parallel Selected Genetic Algorithm Jixie chuandong 3Z (Ⅱ) planetary gear train Multiple object optimization Penalty function Parallel selected genetic algorithm |
title | Optimization Design of 3Z(Ⅱ) Planetary Gear Train based on Parallel Selected Genetic Algorithm |
title_full | Optimization Design of 3Z(Ⅱ) Planetary Gear Train based on Parallel Selected Genetic Algorithm |
title_fullStr | Optimization Design of 3Z(Ⅱ) Planetary Gear Train based on Parallel Selected Genetic Algorithm |
title_full_unstemmed | Optimization Design of 3Z(Ⅱ) Planetary Gear Train based on Parallel Selected Genetic Algorithm |
title_short | Optimization Design of 3Z(Ⅱ) Planetary Gear Train based on Parallel Selected Genetic Algorithm |
title_sort | optimization design of 3z ii planetary gear train based on parallel selected genetic algorithm |
topic | 3Z (Ⅱ) planetary gear train Multiple object optimization Penalty function Parallel selected genetic algorithm |
url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.01.032 |
work_keys_str_mv | AT zhangqiang optimizationdesignof3ziiplanetarygeartrainbasedonparallelselectedgeneticalgorithm AT liuzefeng optimizationdesignof3ziiplanetarygeartrainbasedonparallelselectedgeneticalgorithm |