Paper Title:

Application of Taguchi Method for Parameters Optimization in Micro Metal Injection Molding

Periodical Applied Mechanics and Materials (Volumes 52 - 54)
Main Theme Advances in Mechanical Engineering
Edited by Zhou Mark
Pages 244-248
DOI 10.4028/www.scientific.net/AMM.52-54.244
Citation Haw Pei Li et al., 2011, Applied Mechanics and Materials, 52-54, 244
Online since March, 2011
Authors Haw Pei Li, Norhamidi Muhamad, Abu Bakar Sulong, Heng Shye Yunn, Hooman Abolhasani
Keywords Analysis of Variance (ANOVA), DOE, Micro Metal Injection Molding (μMIM), Optimization, S/N Ratio, Taguchi
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Abstract

Optimization of injection parameters in Micro Metal Injection Molding (μMIM) was described in this study. Stainless steel powder was mixed with Polyethelena Glycol (PEG), Polymethyl Methacrilate (PMMA) and Cellulose Acetate Butyrate (CAB) to produce feedstock. Design of Experiments (DOE) of Taguchi L-27 (313) orthogonal array technique has been used to investigate the significance and optimal injection molding parameters. The signal-to-noise ratio and analysis of variance (ANOVA) are applied to study the optimum levels and effects of process parameters. Simultaneous optimization to obtain the highest green density and excellent surface appearance was discussed. The result concluded that the mold temperature (D) is the most statistically significant process parameter and its contribution to the best appearance and density is the highest.