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Status Analysis of Quality Prediction for Automotive Injection Molded Parts

机译：汽车注塑成型部件质量预测现状分析

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摘要

Injection molding is a very complex multi-factor coupling effect and a nonlinear dynamic process. Therefore, under the influence of nonlinear and multi-factor, injection molding goal is to effectively predict and guarantee the quality of injection molded parts. In this paper, the common methods used to predict the quality of injection molded parts are introduced, including: Taguchi method, artificial neural network, response surface method, radial basis function method and Kriging model method. Research progresses as well as application examples of forecasting methods at home and abroad is summarized. Besides, the development trend of the injection molding quality prediction is discussed.
机译：注塑是一种非常复杂的多因素耦合效果和非线性动态过程。因此，在非线性和多因素的影响下，注塑目标是有效地预测并保证注塑部件的质量。本文介绍了用于预测注塑部件质量的常用方法，包括：Taguchi方法，人工神经网络，响应面法，径向基函数方法和克里格模型方法。总结了研究进展以及国内外预测方法的应用实例。此外，讨论了注塑质量预测的发展趋势。

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