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Proceedings Paper

Optimization of injection-molding conditions using genetic algorithm
Author(s): Seung Jo Kim; Kwanil I. Lee; Y. I. Kim
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Paper Abstract

The quality of a plastic product is determined by the material used, the mold design, and the processing conditions. The objectives of a mold design consist of a mold cooling system, a runner system, and associated gate locations with their types and sizes, and cavity design. Meanwhile, the most important processing conditions during the fill phase are the mold temperature, the melt temperature, and the filling time. In this paper, we use genetic algorithm to optimize molding conditions, which consist of the mold temperature, the melt temperature, and the filling time, based upon the results from flow simulation.

Paper Details

Date Published: 22 March 1996
PDF: 8 pages
Proc. SPIE 2644, Fourth International Conference on Computer-Aided Design and Computer Graphics, (22 March 1996); doi: 10.1117/12.235515
Show Author Affiliations
Seung Jo Kim, Seoul National Univ. (South Korea)
Kwanil I. Lee, Seoul National Univ. (South Korea)
Y. I. Kim, LG Electronics Co. Ltd. (South Korea)


Published in SPIE Proceedings Vol. 2644:
Fourth International Conference on Computer-Aided Design and Computer Graphics
Shuzi Yang; Ji Zhou; Cheng-Gang Li, Editor(s)

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