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http://dx.doi.org/10.14775/ksmpe.2016.16.1.063

Optimization of Design Variable for Injection Molding Using a Modified Golden Section Search Method  

Park, Jong-Cheon (Department of Mechanical Engineering, KIT)
Kim, Kyung-Mo (School of Industrial Engineering, KIT)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.16, no.1, 2017 , pp. 63-69 More about this Journal
Abstract
The golden section search method is widely used to optimize a single design variable in many fields due to its superior advantages of search. In this paper, a new direct search method is proposed by modifying the search structure of the golden section search method; thus, it can be adapted in the optimization of a single design variable for the injection molding process. This proposed method is applied to determine an optimal gate position for the injection molding of a bezel of an automated teller machine for minimizing the injection pressure. Thus, an optimal gate position where the injection pressure is decreased by 4.5 MPa to that of the initial position was obtained with a small number of simulations. It is anticipated that the current proposed search method can be utilized as a practical tool for optimizing single variables for injection molding design.
Keywords
Injection Molding; Gate Position; Modified Golden Section Search Method; Optimization;
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Times Cited By KSCI : 2  (Citation Analysis)
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