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Inventi:etr/32191/20

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

Research 2020 : July - September

Haiying Zhou, Hesheng Liu, Tangqing Kuang, Qingsong Jiang, Zhixin Chen, Weiping Li

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

How to Cite this Article
Attribution/ CC Compliant Citation: Zhou, Haiying, et al. \"Optimization of Residual Wall Thickness Uniformity in Short-Fiber-\nReinforced Composites Water-Assisted Injection Molding Using Response Surface Methodology and Artificial Neural Network-Genetic\nAlgorithm.\" Advances in Polymer Technology 2020 (2020).\nhttps://doi.org/10.1155/2020/6154694\nhttp://creativecommons.org/licenses/by/4.0/\n\nSome formatting elements, header, footer, logos, dates and pagination were modified while adapting this article.
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