Adaptive Adjustment of Injection Molding Process for Mechanical Characteristics Using the Taguchi Method and Response Surface Methodology

作者：Tzeng Chorng Jyh; Yang Yung Kuang^*; Hsieh Ming Hua; Chen Chun Yuan

来源：Polymer - Plastics Technology and Engineering, 2011, 50(6): 552-563.

DOI：10.1080/03602559.2010.543239

• ANOVA
• Optimal setting
• RSM
• Taguchi

This study is analyzed variations of mechanical characteristics that depend on the injection molding techniques during the blending of short glass fiber (SGF) and polytetrafluoroethylene (PTFE) reinforced polycarbonate (PC) composites. Planning of experiment is based on a Taguchi orthogonal array table, and applied signal-to-noise ratios to determine an optimal setting. Simultaneously, applying response surface methodology (RSM) analysis, a mathematical predictive model of the tensile strength and flexural strength properties of mechanical characteristics were developed in terms of the injection molding process parameters. In addition, analysis of variance (ANOVA) also was applied to identify the effect of process parameters of SGF and PTFE reinforced PC composites for the tensile strength and flexural strength. Additional runs were conducted in order to validate the optimal setting and compare the performance of Taguchi method and RSM approach.

• 出版日期2011