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학술논문한국기계항공기술학회지2011.09 발행KCI 피인용 4

회귀분석법을 이용한 사출금형의 수축률 분석에 관한 연구

A Study Shrinkage Analysis of Injection mold using Regression Analysis

류미라(인제대학교); 배희은(라온엑스 솔루션즈(주)); 박정호(창원문성대학); 박종상(창원문성대학); 박성호(창원문성대학); 이대희(인제대학교); 이성범(인제대학교)

13권 3호, 113~118쪽

초록

It is not easy to predict the shrinkage rate of a plastic injection mold in its design process. The shrinkage rate should be considered as one of the important performances to produce the reliable products. The shrinkage rate can be determined by using the CAE tools in the design produces. However, since the analysis can take minutes to hours, the high computational costs of performing the analysis limit their use in design optimization. Therefore this study was carried out to presume for mutual relation of analysis condition to get the optimum average shrinkage by regression analysis. The results shown that coefficient of determination of regression equation has a fine reliability over 87% and regression equation of average shrinkage is made by regression analysis

Abstract

It is not easy to predict the shrinkage rate of a plastic injection mold in its design process. The shrinkage rate should be considered as one of the important performances to produce the reliable products. The shrinkage rate can be determined by using the CAE tools in the design produces. However, since the analysis can take minutes to hours, the high computational costs of performing the analysis limit their use in design optimization. Therefore this study was carried out to presume for mutual relation of analysis condition to get the optimum average shrinkage by regression analysis. The results shown that coefficient of determination of regression equation has a fine reliability over 87% and regression equation of average shrinkage is made by regression analysis

발행기관:
한국기계항공기술학회
DOI:
http://dx.doi.org/10.17958/ksmt.13.3.201109.113
분류:
기계공학

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회귀분석법을 이용한 사출금형의 수축률 분석에 관한 연구 | 한국기계항공기술학회지 2011 | AskLaw | 애스크로 AI