Computer Simulation of Robust Process Parameter Searching Method Applid to Multiple Quality Objective

碩士 === 國立高雄第一科技大學 === 機械與自動化工程所 === 95 === As the process ability will be affected by environment factors to lead to a high defective rate in injection molding, thus, the paper will employ the robust process parameter searching method to find a process parameter setting for the injection machine to...

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Main Authors: Hui-Ping Lin, 林惠萍
Other Authors: Ming-Shyan Huang
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/67480912387018032111
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spelling ndltd-TW-095NKIT56890402016-05-20T04:18:04Z http://ndltd.ncl.edu.tw/handle/67480912387018032111 Computer Simulation of Robust Process Parameter Searching Method Applid to Multiple Quality Objective 多品質目標強健型製程參數搜尋方法之模擬與分析 Hui-Ping Lin 林惠萍 碩士 國立高雄第一科技大學 機械與自動化工程所 95 As the process ability will be affected by environment factors to lead to a high defective rate in injection molding, thus, the paper will employ the robust process parameter searching method to find a process parameter setting for the injection machine to increase the robustness. In the paper, single and multiple quality characters are discussed, and through Taguchi’s Method and the principal component analysis, the best parameter point setting can be found and then be checked whether the parameter point is robust enough within the allowable changes of the environment, if not, the robust point should be found by the robust process parameter searching method. The research mainly uses the mold flow analysis software, Moldex3D to simulate different quality defects of plastic products to implement the robust point found out by the robust process parameter searching method to see if the robust point is strong enough to resist the environment changes, and the explored parameter includes temperature, mold temperature, injection pressure, packing pressure, packing time, injection speed, injection position and cooling time. The preciseness, good outward appearance, and optical characters of LGP are paid most attention so that the quality defects focus on stress, warpage and shrinkage. The parameter point searched by the robust process parameter searching method and the ones found out by Taguchi’s Method and principal component analysis separately can be testified and compared through Monte Carlo Method, and we can discover that the initial value of the interference range of the former is more robust. The robust point of stress for single quality characters has been improved 44%, and the warpage is improved 33%; the multiple quality characters are improved 55%. From this, we can know that the cycle in the machine production process can be extended by searching for the robust process parameter to reduce the probability of defective rates. Ming-Shyan Huang 黃明賢 2007 學位論文 ; thesis 88 zh-TW
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description 碩士 === 國立高雄第一科技大學 === 機械與自動化工程所 === 95 === As the process ability will be affected by environment factors to lead to a high defective rate in injection molding, thus, the paper will employ the robust process parameter searching method to find a process parameter setting for the injection machine to increase the robustness. In the paper, single and multiple quality characters are discussed, and through Taguchi’s Method and the principal component analysis, the best parameter point setting can be found and then be checked whether the parameter point is robust enough within the allowable changes of the environment, if not, the robust point should be found by the robust process parameter searching method. The research mainly uses the mold flow analysis software, Moldex3D to simulate different quality defects of plastic products to implement the robust point found out by the robust process parameter searching method to see if the robust point is strong enough to resist the environment changes, and the explored parameter includes temperature, mold temperature, injection pressure, packing pressure, packing time, injection speed, injection position and cooling time. The preciseness, good outward appearance, and optical characters of LGP are paid most attention so that the quality defects focus on stress, warpage and shrinkage. The parameter point searched by the robust process parameter searching method and the ones found out by Taguchi’s Method and principal component analysis separately can be testified and compared through Monte Carlo Method, and we can discover that the initial value of the interference range of the former is more robust. The robust point of stress for single quality characters has been improved 44%, and the warpage is improved 33%; the multiple quality characters are improved 55%. From this, we can know that the cycle in the machine production process can be extended by searching for the robust process parameter to reduce the probability of defective rates.
author2 Ming-Shyan Huang
author_facet Ming-Shyan Huang
Hui-Ping Lin
林惠萍
author Hui-Ping Lin
林惠萍
spellingShingle Hui-Ping Lin
林惠萍
Computer Simulation of Robust Process Parameter Searching Method Applid to Multiple Quality Objective
author_sort Hui-Ping Lin
title Computer Simulation of Robust Process Parameter Searching Method Applid to Multiple Quality Objective
title_short Computer Simulation of Robust Process Parameter Searching Method Applid to Multiple Quality Objective
title_full Computer Simulation of Robust Process Parameter Searching Method Applid to Multiple Quality Objective
title_fullStr Computer Simulation of Robust Process Parameter Searching Method Applid to Multiple Quality Objective
title_full_unstemmed Computer Simulation of Robust Process Parameter Searching Method Applid to Multiple Quality Objective
title_sort computer simulation of robust process parameter searching method applid to multiple quality objective
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/67480912387018032111
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