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

Abstract:

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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 et al., "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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$35.00

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