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http://dx.doi.org/10.14775/ksmpe.2020.19.06.055

A Study on Injection Mold Design Using Approximation Optimization  

Byon, Sung-Kwang (Department of Mechanical Engineering, Dongyang Mirae University)
Choi, Ha-Young (Department of Mechanical Engineering, Dongyang Mirae University)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.19, no.6, 2020 , pp. 55-60 More about this Journal
Abstract
The injection molding technique is a processing method widely used for the production of plastic parts. In this study, the gate position, gate size, packing time, and melt temperature were optimized to minimize both the stress and deformation that occur during the injection molding process of medical suction device components. We used a central composite design and Latin hypercube sampling to acquire the data and adopted the response surface method as an approximation method. The efficiency of the optimization of the injection molding problem was determined by comparing the results of a genetic algorithm, sequential quadratic programming, and a non-dominant classification genetic algorithm.
Keywords
Injection Molding; Warpage; Optimization; Design of Experiments;
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