Using Taguchi Method to Optimize Molding Process Parameters of Chair Base

Abstract:

In this study, volumetric shrinkage at ejection of the chair base in the injection process, application of the 3D CAD software pro/e to design the shape of the product, and then combines moldflow simulation analysis and Taguchi method with L25 Orthogonal Array to determine the optimal injection molding parameters combination. In the Taguchi L25 experimental design, the six controlling factors used are melt temperature, mold temperature, injection time, packing time, packing pressure and cooling time, the result of experiment revealed that the optimum combination of parameters was the A2 (melting temperature 265°C), B3 (mold temperature 40°C), C2 (injection time 1.7sec), D4 (packing pressure 95%), E5 (packing time20sec), F5 (cooling time 20sec). The results show that the combination of Taguchi method and Moldflow can not only improve the molding process parameters effectively, but also optimize the quality of the products.

• Periodical: Applied Mechanics and Materials (Volumes 271-272)
• Pages: 1190-1194
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.271-272.1190
• Online since: December 2012
• Authors: Hsueh Lin Wu, Ya Hui Wang
• Keywords: Injection Molding, Mold Flow, Shrinkage, Taguchi Method

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