Analysis of Variance on the Metal Injection molding parameters using a bimodal particle size distribution feedstock

The paper describes author’s work on the investigation of the molding parameter for the metal injection molding (MIM) feedstock. Bimodal particle size distribution of SS316 L powder was used in the investigation and the metal powder was covered with PMMA and PEG as its binder. Taguchi’s L27 orthogonal array has been used as DOE while green defects, green density and green strength were assumed to be the quality characteristic (response). A green defect has been measured using parameter design for discrete data technique while the green density and green strength were measured according to the MPIF 42 and MPIF 15 respectively. Classical analysis of variance (ANOVA) was used to investigate the significance of each molding parameters and finally propose the optimum molding parameter