Application of Robust Method for Warpage Optimization Using Plastic Injection Molding Process

2020 IEEE 2nd International Conference on Architecture, Construction, Environment and Hydraulics (ICACEH) Pub Date : 2020-12-25 DOI:10.1109/ICACEH51803.2020.9366249

Weitai Huang, J. Chou

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Abstract

This study focuses on the application of different injection molding processes to analyze the shear stress caused by uneven distribution by the influence of warpage. We explore the results from various sets of control parameters for injection, the auto locks using CAE simulation performance analysis and optimization of process parameters combination of warpage. In the research, we look for each single objective optimization process combined with Taguchi Robust Design process with L18(21×37) orthogonal. The control factors are injection time, the material temperature, mold temperature, injection pressure, packing pressure, packing time, cooling liquid and cooling tube flow rate. From the results of warpage and shear stress as a performance index, we calculate the performance index of the signal to noise ratio (SNR). Using the optimal process parameters, the optimal warpages of 1.294mm, 0.163mm are obtained, which are lower than total warpage values of the original process parameters. The total values of warpage is improved by 11.2%.

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鲁棒方法在塑料注射成型翘曲优化中的应用

本研究侧重于应用不同的注射成型工艺，分析受翘曲影响而造成的剪切应力分布不均匀。我们从不同的注射控制参数组出发，利用CAE仿真对汽车锁具的性能进行分析，并对工艺参数组合翘曲进行优化。在研究中，我们结合L18(21×37)正交的田口稳健设计过程寻找每个单目标优化过程。控制因素为注射时间、材料温度、模具温度、注射压力、填充压力、填充时间、冷却液和冷却管流量。以翘曲和剪切应力作为性能指标，计算了信噪比的性能指标。利用优化后的工艺参数，得到的最优翘曲量分别为1.294mm、0.163mm，均低于原工艺参数下的总翘曲量。翘曲总量提高了11.2%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2020 IEEE 2nd International Conference on Architecture, Construction, Environment and Hydraulics (ICACEH)

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