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首页> 外文期刊>Journal of Applied Polymer Science >Offline Prediction of Process Windows for Robust Injection Molding
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Offline Prediction of Process Windows for Robust Injection Molding

机译：用于可靠注塑的过程窗口的离线预测

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摘要

Process parameters play a highly significant role in the final quality of parts produced using dynamic injection molding. Many researches have made great efforts in obtaining an optimum set of process parameters for improving molded part qualities with various optimization methods. However, this work has failed to provide sufficient information to adjust process parameters in the face of variable environmental conditions and various injection machines to ensure robust, high-quality injection moldings. Current conditions are too cumbersome and require technologists to perform repeated, detailed optimization procedures on the mass production plant floor. An offline method for prediction of process windows is proposed in this article. The process window is significant for robust manufacturing, and optimization of process parameters. Considering that it is an irregular region in a multidimensional space respecting to process parameters, numerical simulations based on DOE method were designed to offline build relationships between process parameters and part qualities. Then the simulation results were classified as positive or negative class, thereby yielding simulation sample data. Finally, the process window was verified using an SVM classifier and a set of simulation samples. Injection molding of an experimental production plate using various process parameters was conducted to verify the reliability of the predicted process window. The results show that, within tolerable deviations, the predicted window of experimental parts is in accordance with verification experiments. The proposed method demonstrates an ability to rapidly obtain a suitable set of process parameters for achieving consistency in part quality with low cost and high efficiency.
机译：工艺参数在使用动态注塑成型生产的零件的最终质量中起着非常重要的作用。许多研究已在通过各种优化方法获得最佳工艺参数集以提高成型零件质量方面做出了巨大努力。但是，这项工作未能提供足够的信息来面对变化的环境条件和各种注塑机来调整工艺参数，以确保坚固，高质量的注塑成型。当前的条件太繁琐，需要技术人员在批量生产车间执行重复，详细的优化程序。本文提出了一种离线的过程窗口预测方法。工艺窗口对于稳健的制造和工艺参数的优化非常重要。考虑到工艺参数是多维空间中的不规则区域，设计了基于DOE方法的数值模拟，以离线建立工艺参数与零件质量之间的关系。然后将模拟结果分为正或负两类，从而得出模拟样本数据。最后，使用SVM分类器和一组仿真样本来验证过程窗口。使用各种工艺参数对实验生产板进行注塑成型，以验证预测工艺窗口的可靠性。结果表明，在容许偏差范围内，实验零件的预测窗口与验证实验一致。所提出的方法展示了快速获得合适的工艺参数集的能力，以低成本和高效率实现零件质量的一致性。

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