Optimization of Residual Wall Thickness Uniformity in Short-Fiber-Reinforced Composites Water-Assisted Injection Molding Using Response Surface Methodology and Artificial Neural Network-Genetic Algorithm

Optimization of Residual Wall Thickness Uniformity in Short-Fiber-Reinforced Composites Water-Assisted Injection Molding Using Response Surface Methodology and Artificial Neural Network-Genetic Algorithm

This study aimed at improving the residual wall thickness uniformity (RWTU), which was closely related to the mechanical properties of plastic parts with a hollow cross-section, in short-fiber reinforced composites (SFRC) overflow water-assisted injection molding (OWAIM). The influences of five inde...

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Bibliographic Details
Main Authors: Haiying Zhou, Hesheng Liu, Tangqing Kuang, Qingsong Jiang, Zhixin Chen, Weipei Li
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Advances in Polymer Technology
Online Access:http://dx.doi.org/10.1155/2020/6154694

Internet

http://dx.doi.org/10.1155/2020/6154694

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