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
 1. 서론
 2. 플라스틱 금형설계 과정
  2.1 사출 설계
  2.2 회귀분석법
 3. 해석조건 및 방법
  3.1 해석모델
  3.2 해석조건
 4. 회귀분석을 통한 수학적 모형추정
 5. 결론
 참고문헌

• 류미라(인제대학교 2단계 BK21 미래형자동차 사업팀) | M. R. RYU
• 배희은(라온엑스 솔루션즈(주)) | H. E. BAE
• 박정호(창원문성대) | J. H. PARK
• 박종상(창원문성대) | J. S. PARK
• 박성호(창원문성대) | S. H. PARK
• 이대희(인제대학교 기계자동차공학부) | D. H. LEE
• 이성범(고안전차량핵심기술연구소) | S. B. LEE