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Erschienen in: Arabian Journal for Science and Engineering 12/2021

24.05.2021 | Research Article-Mechanical Engineering

Optimization of Injection Molding Process of Transparent Complex Multi-Cavity Parts Based on Kriging Model and Various Optimization Techniques

verfasst von: Sai Li, Xi Ying Fan, Yong Huan Guo, Xin Liu, Hai Yue Huang, Yan Li Cao, Lu Lu Li

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 12/2021

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Abstract

The injection molding process of a mold with multiple cavities can reduce the mold space, but the process is complicated and the product is prone to warpage. In order to reduce the transparent parts warpage of such a mold, by optimizing injection molding process parameters, an optimization technique combining orthogonal experiment, Kriging model and an optimization algorithm is proposed. First, the orthogonal experiment is designed, based on Computer Aided Engineering (CAE) simulation results, while the significant factors affecting the warpage are selected. On this basis, the Kriging model is established to map the nonlinear function relationship between the significant factors and the warpage. Specifically in this paper, four types of correlation functions, affecting the model precision accuracy, are used to establish the Kriging model and the high-precision accuracy model is selected. A numerical optimization algorithm, direct search approach and global exploration method are used to optimize the model, so as to obtain the optimal injection molding parameters producing the minimum warpage. Finally, CAE simulation and experimental validation prove the effectiveness and reliability of the proposed optimization method.

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Metadaten
Titel
Optimization of Injection Molding Process of Transparent Complex Multi-Cavity Parts Based on Kriging Model and Various Optimization Techniques
verfasst von
Sai Li
Xi Ying Fan
Yong Huan Guo
Xin Liu
Hai Yue Huang
Yan Li Cao
Lu Lu Li
Publikationsdatum
24.05.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 12/2021
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-021-05724-2

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