聚丙烯注塑扁平部件的局部热翘曲变形及神经网络预测模型

IF 2.6 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Jian Wang, Tao Liu, Kaihuang Zheng, Hao Liu, Hongdao Cui, Hang Li
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引用次数: 0

摘要

翘曲变形是聚合物注塑件的典型现象,主要由不均衡的冷却造成,而且不可避免。复杂的工艺参数通常会导致聚合物材料在注塑成型过程中出现不可控的热行为,并产生显著的实验误差。本研究提出了一种具有扁平模腔和九个局部加热部分的实验模具,以确定温差对注塑件热变形的确切影响。通过不同位置的局部加热,产生了不同的翘曲变形。实验结果表明了局部温度与局部热翘曲之间的关系。数值模拟对局部温度分布的预测结果与实验结果呈很强的负相关(R2 = 67%);然而,数值模拟对翘曲的预测结果却一般(R2 = 35%)。在实验结果的基础上,进一步利用神经网络进行了机器学习。当给出更多数据并采用合适的神经网络结构时,模型对翘曲的预测准确率可达 97%,而对于外推法试验,预测准确率也可达 89%。这种局部热加热技术和神经网络建模方法可用于注塑成型零件翘曲的进一步理论研究,并支持开发预测翘曲变形精度高的新模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Local thermal warpage deformation of polypropylene injection molded flat part and neural network prediction model
Warpage deformation is a typical phenomenon for polymer injection-molded parts, mainly caused by unbalanced cooling, and it is inevitable. Complex process parameters usually lead to uncontrollable thermal behavior of the polymer materials during injection molding and significant experimental errors. This work presents an experimental mold with a flat mold cavity and nine local heating sections to determine the exact effect of temperature difference on the thermal deformation of injection molded parts. Through local heating at different positions, different warpage deformation was caused. Experimental results demonstrated the relationship between the local temperature and the local thermal warpage. The predicted results of local temperature distribution by numerical simulation presented a strong negative correlation with the experimental results (R2 = 67%); however, the warpage prediction results by numerical simulation were moderate (R2 = 35%). Machine learning with neural networks was further conducted based on the experimental results. When more data was given with a suitable neural network structure, the model prediction accuracy of warpage could be up to 97%, while for the extrapolation test, the prediction accuracy could also be up to 89%. This local thermal heating technique and neural network modeling method can be applied in further theoretical investigation of warpage of injection molded parts and support the development of new models with high accuracy in predicting warpage deformation.
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来源期刊
Frontiers in Materials
Frontiers in Materials Materials Science-Materials Science (miscellaneous)
CiteScore
4.80
自引率
6.20%
发文量
749
审稿时长
12 weeks
期刊介绍: Frontiers in Materials is a high visibility journal publishing rigorously peer-reviewed research across the entire breadth of materials science and engineering. This interdisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers across academia and industry, and the public worldwide. Founded upon a research community driven approach, this Journal provides a balanced and comprehensive offering of Specialty Sections, each of which has a dedicated Editorial Board of leading experts in the respective field.
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