Paper Title:
Application of Taguchi Method for Parameters Optimization in Micro Metal Injection Molding
  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.

  Info
Periodical
Edited by
Zhou Mark
Pages
244-248
DOI
10.4028/www.scientific.net/AMM.52-54.244
Citation
H. P. Li, N. Muhamad, A. B. Sulong, H. S. Yunn, H. Abolhasani, "Application of Taguchi Method for Parameters Optimization in Micro Metal Injection Molding", Applied Mechanics and Materials, Vols. 52-54, pp. 244-248, 2011
Online since
March 2011
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