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Micro genetic algorithm based optimal gate positioning in injection molding design

Authors
 Jongsoo Lee  ;  Jonghun Kim 
Citation
 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, Vol.21(5) : 789-798, 2007 
Journal Title
 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY 
ISSN
 1738-494X 
Issue Date
2007
Abstract
The paper deals with the optimization of runner system in injection molding design. The design objective is to locate gate positions by minimizing both maximum injection pressure at the injection port and maximum pressure difference among all the gates on a product with constraints on shear stress and/or weld-line. The analysis of filling process is conducted by a finite element based program for polymer flow. Micro genetic algorithm (mGA) is used as a global optimization tool due to the nature of inherent nonlinearlity in flow analysis. Four different design applications in injection molds are explored to examine the proposed design strategies. The paper shows the effectiveness of mGA in the context of optimization of runner system in injection molding design.
Full Text
http://link.springer.com/article/10.1007%2FBF02916357
DOI
10.1007/BF02916357
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Anesthesiology and Pain Medicine (마취통증의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Jong Hoon(김종훈)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/96474
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