Study on Optimization Design Method of PA66 Gear Injection Molding Process Parameter

In order to reduce the volume shrinkage of polyamide 66(PA 66) gear injection molding as an example,by using the orthogonal test and Moldflow simulation software to obtain data as training samples of neural network,the neural network prediction model of the volume shrinkage of the gear is establishe...

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Main Authors: Xu Cheng, Cheng Zhihu, Lu Jingui
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2018-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.01.015
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author Xu Cheng
Cheng Zhihu
Lu Jingui
author_facet Xu Cheng
Cheng Zhihu
Lu Jingui
author_sort Xu Cheng
collection DOAJ
description In order to reduce the volume shrinkage of polyamide 66(PA 66) gear injection molding as an example,by using the orthogonal test and Moldflow simulation software to obtain data as training samples of neural network,the neural network prediction model of the volume shrinkage of the gear is established,and the accuracy of the artificial neural network model is tested by the sample. Therefore,the time of optimizing process parameters is shortened,and the process parameters are optimized. The results show that,the efficiency of process design can be greatly improved by using the optimization of molding process parameters of plastic gear with combining the orthogonal test,numerical simulation and artificial neural network,and the accuracy is high.
format Article
id doaj-art-c5c62abae5d04372887436adc9dc5e3d
institution Kabale University
issn 1004-2539
language zho
publishDate 2018-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-c5c62abae5d04372887436adc9dc5e3d2025-01-10T14:43:43ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392018-01-0142697229934077Study on Optimization Design Method of PA66 Gear Injection Molding Process ParameterXu ChengCheng ZhihuLu JinguiIn order to reduce the volume shrinkage of polyamide 66(PA 66) gear injection molding as an example,by using the orthogonal test and Moldflow simulation software to obtain data as training samples of neural network,the neural network prediction model of the volume shrinkage of the gear is established,and the accuracy of the artificial neural network model is tested by the sample. Therefore,the time of optimizing process parameters is shortened,and the process parameters are optimized. The results show that,the efficiency of process design can be greatly improved by using the optimization of molding process parameters of plastic gear with combining the orthogonal test,numerical simulation and artificial neural network,and the accuracy is high.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.01.015PA66 gearOrthogonal test methodArtificial neural networkMolding processOptimization
spellingShingle Xu Cheng
Cheng Zhihu
Lu Jingui
Study on Optimization Design Method of PA66 Gear Injection Molding Process Parameter
Jixie chuandong
PA66 gear
Orthogonal test method
Artificial neural network
Molding process
Optimization
title Study on Optimization Design Method of PA66 Gear Injection Molding Process Parameter
title_full Study on Optimization Design Method of PA66 Gear Injection Molding Process Parameter
title_fullStr Study on Optimization Design Method of PA66 Gear Injection Molding Process Parameter
title_full_unstemmed Study on Optimization Design Method of PA66 Gear Injection Molding Process Parameter
title_short Study on Optimization Design Method of PA66 Gear Injection Molding Process Parameter
title_sort study on optimization design method of pa66 gear injection molding process parameter
topic PA66 gear
Orthogonal test method
Artificial neural network
Molding process
Optimization
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.01.015
work_keys_str_mv AT xucheng studyonoptimizationdesignmethodofpa66gearinjectionmoldingprocessparameter
AT chengzhihu studyonoptimizationdesignmethodofpa66gearinjectionmoldingprocessparameter
AT lujingui studyonoptimizationdesignmethodofpa66gearinjectionmoldingprocessparameter