Research of the Inverse of Tooth Surface Friction Coefficient based on Intergeneration Projection Genetic Algorithm

The precise gear model is built by the method for composite modeling with MATLAB and APDL. The key friction characteristic parameter is acquired by test. The tooth surface friction coefficients are inversely analyzed by numerical simulation and intergeneration projection genetic algorithms( IP- GA)...

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Main Authors: Fu Shuangxue, Liu Dayong
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2016-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.07.007
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author Fu Shuangxue
Liu Dayong
author_facet Fu Shuangxue
Liu Dayong
author_sort Fu Shuangxue
collection DOAJ
description The precise gear model is built by the method for composite modeling with MATLAB and APDL. The key friction characteristic parameter is acquired by test. The tooth surface friction coefficients are inversely analyzed by numerical simulation and intergeneration projection genetic algorithms( IP- GA) under different lubrication conditions. The problem of complex tooth surface friction coefficients is solved reasonably.Compared with traditional method,the actual tooth friction conditions are simulated,then the result is more reasonable. Exactly inverse analysis of tooth friction coefficients can help to numerical simulation and improve dynamic performance of gear transmission and to upgrade the level of design and manufacture of gear.
format Article
id doaj-art-00fee469b0634bb7a1991423b8115357
institution Kabale University
issn 1004-2539
language zho
publishDate 2016-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-00fee469b0634bb7a1991423b81153572025-01-10T14:16:37ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392016-01-0140333729924898Research of the Inverse of Tooth Surface Friction Coefficient based on Intergeneration Projection Genetic AlgorithmFu ShuangxueLiu DayongThe precise gear model is built by the method for composite modeling with MATLAB and APDL. The key friction characteristic parameter is acquired by test. The tooth surface friction coefficients are inversely analyzed by numerical simulation and intergeneration projection genetic algorithms( IP- GA) under different lubrication conditions. The problem of complex tooth surface friction coefficients is solved reasonably.Compared with traditional method,the actual tooth friction conditions are simulated,then the result is more reasonable. Exactly inverse analysis of tooth friction coefficients can help to numerical simulation and improve dynamic performance of gear transmission and to upgrade the level of design and manufacture of gear.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.07.007Friction coefficientGenetic algorithmInverse problemGear
spellingShingle Fu Shuangxue
Liu Dayong
Research of the Inverse of Tooth Surface Friction Coefficient based on Intergeneration Projection Genetic Algorithm
Jixie chuandong
Friction coefficient
Genetic algorithm
Inverse problem
Gear
title Research of the Inverse of Tooth Surface Friction Coefficient based on Intergeneration Projection Genetic Algorithm
title_full Research of the Inverse of Tooth Surface Friction Coefficient based on Intergeneration Projection Genetic Algorithm
title_fullStr Research of the Inverse of Tooth Surface Friction Coefficient based on Intergeneration Projection Genetic Algorithm
title_full_unstemmed Research of the Inverse of Tooth Surface Friction Coefficient based on Intergeneration Projection Genetic Algorithm
title_short Research of the Inverse of Tooth Surface Friction Coefficient based on Intergeneration Projection Genetic Algorithm
title_sort research of the inverse of tooth surface friction coefficient based on intergeneration projection genetic algorithm
topic Friction coefficient
Genetic algorithm
Inverse problem
Gear
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.07.007
work_keys_str_mv AT fushuangxue researchoftheinverseoftoothsurfacefrictioncoefficientbasedonintergenerationprojectiongeneticalgorithm
AT liudayong researchoftheinverseoftoothsurfacefrictioncoefficientbasedonintergenerationprojectiongeneticalgorithm