Simulation and analysis of optimization process parameters for multi-cavity injection molding parts warpage by genetic algorithm method

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This study presents the warpage analysis for products through the combination of the genetic algorithm (GA) method and finite element method (FEM) in multi-cavity injection molding parts; it simulated and analyzed the warpage through controlling the conditions of various parameters in primary processes - filling, packing, and cooling. After 50 iterations of calculations. These results demonstrate that the maximum warpage of the products was 0.5052 mm for multi-cavity injection molding parts. In comparison with the orthogonal array, the maximum warpage could be reduced by approximately 7.24%. It is shown that the GA method can obtain the optimum process conditions for warpage deformation in multi-cavity injection molding parts.

Original languageEnglish
Title of host publicationIntelligent Materials, Applied Mechanics and Design Science, IMAMD2011
Pages54-57
Number of pages4
Edition3
DOIs
Publication statusPublished - 2012 Jan 1
Event2011 International Conference on Intelligent Materials, Applied Mechanics and Design Science, IMAMD2011 - Beijing, China
Duration: 2011 Dec 242011 Dec 25

Publication series

NameApplied Mechanics and Materials
Number3
Volume142
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Other

Other2011 International Conference on Intelligent Materials, Applied Mechanics and Design Science, IMAMD2011
CountryChina
CityBeijing
Period11-12-2411-12-25

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Chen, W-J. (2012). Simulation and analysis of optimization process parameters for multi-cavity injection molding parts warpage by genetic algorithm method. In Intelligent Materials, Applied Mechanics and Design Science, IMAMD2011 (3 ed., pp. 54-57). (Applied Mechanics and Materials; Vol. 142, No. 3). https://doi.org/10.4028/www.scientific.net/AMM.142.54