Optimization of injection-molding conditions using genetic algorithm

Seung Jo Kim; Kwanil I. Lee; Y. I. Kim

doi:10.1117/12.235515

Translator Disclaimer

22 March 1996 Optimization of injection-molding conditions using genetic algorithm

Seung Jo Kim, Kwanil I. Lee, Y. I. Kim

Author Affiliations +

Proceedings Volume 2644, Fourth International Conference on Computer-Aided Design and Computer Graphics; (1996) https://doi.org/10.1117/12.235515
Event: Fourth International Conference on Computer-Aided Design and Computer Graphics, 1995, Wuhan, China

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.

Citation Download Citation

Seung Jo Kim, Kwanil I. Lee, and Y. I. Kim "Optimization of injection-molding conditions using genetic algorithm", Proc. SPIE 2644, Fourth International Conference on Computer-Aided Design and Computer Graphics, (22 March 1996); https://doi.org/10.1117/12.235515

ACCESS THE FULL ARTICLE