Paper Title:
Multiple Performance Optimization for the Best Injection Molding Process of Ti-6Al-4V Green Compact
  Abstract

The L27 (313) Taguchi orthogonal array is used in the experiment while the injection pressure, injection temperature, powder loading, mold temperature, holding pressure and injection speed are optimized in this study. A grey relational grade (GRG) obtained from the grey relational analysis (GRA) is used to solve the titanium alloy powder injection molding operations with the multiple performance characteristics such as strength and density. From the analysis of variance (ANOVA), the injection temperature has the highest contribution at confidence level 90% to the quality of green part followed by powder loading. The others factor such as mold temperature, holding pressure, injection pressure and injection rate and all the interactions are not significant even though it give contribution during injection molding but the confidence level are less than 90%.

  Info
Periodical
Edited by
Ran Chen
Pages
2707-2711
DOI
10.4028/www.scientific.net/AMM.44-47.2707
Citation
N. Muhamad, N. H. Mohamad Nor, S. Ahmad, M. H. I. Ibrahim, M. R. Harun, "Multiple Performance Optimization for the Best Injection Molding Process of Ti-6Al-4V Green Compact", Applied Mechanics and Materials, Vols. 44-47, pp. 2707-2711, 2011
Online since
December 2010
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