Using Taguchi Method to Optimize Molding Process Parameters of Chair Base

Author:

Wu Hsueh Lin1,Wang Ya Hui1

Affiliation:

1. Yuan Ze University

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.

Publisher

Trans Tech Publications, Ltd.

Reference9 articles.

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2. H. D. Zhong, L. J. Xu, and Y. M. Deng, Injection molding process design of thin-walled plastics products based on Moldflow flow analysis, China Plastics Industry, vol. 33, pp.32-34, November (2005).

3. L. Z. Lin, D. S. Xing, and X. Q. Guo, Analysis of injection molding of automobile airbag cover based on Moldflow, Engineering Plastics Application, vol. 36, pp.29-33, December (2008).

4. Zhao Longzhi , Chen Binghui , Li Jianyun , Zhang Shangbing, Optimization of plastics injection molding processing parameters based on the minimization of sink marks, Mechanic Automation and Control Engineering (MACE) Conference Proceedings, IEEE Press, (2010).

5. Taguchi G, Konishi S. Taguchi methods, orthogonal arrays and linear graphs, tools for quality American supplier institute, American Supplier Institute, (1987) pp.8-35.

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