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...
Saved in:
Main Authors: | , , |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841547441539645440 |
---|---|
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 |