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A Study Shrinkage Analysis of Injection mold using Regression Analysis  

RYU, M.R. (인제대학교 2단계 BK21 미래형자동차 사업팀)
BAE, H.E. (라온엑스 솔루션즈(주))
PARK, J.H. (창원문성대학)
PARK, J.S. (창원문성대학)
PARK, S.H. (창원문성대학)
LEE, D.H. (인제대학교 기계자동차공학부)
LEE, S.B. (인제대학교 기계자동차공학부)
Publication Information
Journal of the Korean Society of Mechanical Technology / v.13, no.3, 2011 , pp. 113-118 More about this Journal
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.
Keywords
Optimization; Injection Mold; Regression analysis; Shrinkage; Design of experiment;
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