Towards an accurate pressure estimation in injection molding simulation using surrogate modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s12289-022-01717-0.pdf
Reference43 articles.
1. Kennedy P, Zheng R (2013) Flow analysis of injection molds, 2nd edn. Hanser Publishers, Munich; Cincinnati
2. Gao Y, Wang X (2009) Surrogate-based process optimization for reducing warpage in injection molding. J Mater Process Technol 209(3):1302–1309. https://doi.org/https://linkinghub.elsevier.com/retrieve/pii/S0924013608002586. https://doi.org/10.1016/j.jmatprotec.2008.03.048
3. Chen W, Zhou X-h, Wang H-f, Wang W (2010) Multi-objective optimal approach for injection molding based on surrogate model and particle swarm optimization algorithm. J Shanghai Jiaotong Univ (Sci) 15(1):88–93. https://doi.org/10.1007/s12204-010-9517-4
4. Wang X, Gu J, Shen C, Wang X (2015) Warpage optimization with dynamic injection molding technology and sequential optimization method. Int J Adv Manuf Technol 78(1-4):177–187. https://doi.org/10.1007/s00170-014-6621-x
5. Kang G-J, Park C-H, Choi D-H (2016) Metamodel-based design optimization of injection molding process variables and gates of an automotive glove box for enhancing its quality. J Mech Sci Technol 30(4):1723–1732. https://doi.org/10.1007/s12206-016-0328-x
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