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首页> 外文期刊>Journal of Reinforced Plastics and Composites >Optimization of Injection Molding Process for Mechanical Properties of Short Glass Fiber and Polytetrafluoroethylene Reinforced Polycarbonate Composites:A Case Study
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Optimization of Injection Molding Process for Mechanical Properties of Short Glass Fiber and Polytetrafluoroethylene Reinforced Polycarbonate Composites:A Case Study

机译:短玻璃纤维与聚四氟乙烯增强聚碳酸酯复合材料力学性能的注塑工艺优化:一个案例研究

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摘要

This study analyzes the mechanical properties of polycarbonate (PC) reinforced with 20% short glass fiber (SGF) and 6% polytetrafluoroethylene (PTFE), which is applied to the bottom cover of the reader body. The specimens were prepared under different injection molding conditions, by varying the filling time, melt temperature, mold temperature, and packing pressure using the gray relational analysis method. Plans of experiments via nine experimental runs are based on the orthogonal arrays to determine the optimum factor level condition. The mechanical properties of the Young's module, ultimate stress, and strain variation are adopted as the quality targets. From the analysis of gray relational grade matrix, the most influential process factor and the most easily influenced mechanical property can be picked. The melt temperature is found to be the most influenced factor in the Young's module, ultimate stress, and strain for the injection molding process in this study.
机译:这项研究分析了用20%短玻璃纤维(SGF)和6%聚四氟乙烯(PTFE)增强的聚碳酸酯(PC)的机械性能,该聚碳酸酯被应用于阅读器主体的底盖。使用灰色关联分析方法,通过改变填充时间,熔融温度,模具温度和填充压力,在不同的注塑条件下制备样品。通过九个实验运行的实验计划基于正交数组来确定最佳因子水平条件。杨氏模量的机械性能,极限应力和应变变化被用作质量目标。通过对灰色关联度矩阵的分析,可以得出影响最大的工艺因素和最容易影响的力学性能。在这项研究中,发现熔融温度是影响杨氏模量,极限应力和应变的最大因素。

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