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

Abstract:

Article Preview

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 et al., "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

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.