The Influence of Temperature Dependant Parameters in Plastic 0.0nd Metal Injection Molding using Taguchi Method

Authors

  • Zaliha Wahid Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Malaysia
  • Norhamidi Muhamad Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Malaysia
  • Shahrir Abdullah Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Malaysia
  • Jaharah A. Ghani Department of Mechanical and Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Malaysia

DOI:

https://doi.org/10.11113/jt.v68.2995

Keywords:

Metal injection molding, simulation, Taguchi

Abstract

Injection molding is a promising manufacturing process because of several advantages. Conventional injection molding was dominated by plastic as the raw material, but for better engineering properties feasibility, metal injection molding (MIM) has been given special attention. However, because of different properties and rheology, processing parameters for both processes must be treated accordingly. In this paper, the most influencing process parameter is identified for both processes using the state of the art Taguchi method. Simulation using Moldflow software is conducted with various process settings. From the study, it is proven that due to rheological behaviour, all the input parameters influence the MIM process while only one parameter is dominating during the injection molding of polypropylene.

References

Lee, S. W., Ahn, S., Whang, C. J., Park, S. J., Atre, S. V., Kim, J. and German, R. M. 2011. Effect of Process Parameters in Plastic, Metal, and Ceramic Injection Molding Processes. Korea-Australia Rheology Journal. 23(3): 127–138.

Urval, R., Lee, S., Atre, S. V., Park, S. J. and German R. M. 2008. Optimisation of Process Conditions in Powder In-Jection Moulding of Microsystem Components Using a Robust Design Method : Part 1. Primary Design Parameter. Powder Metallurgy. 51(2): 133–142.

Atre, S. V., Park, S. J., Zauner, R. and German, R. M. 2007. Process Simulation of Powder Injection Moulding: Identification of Significant Parameters During Mould Filling Phase. Powder Metallurgy. 50(1): 76–85.

Bilovol, V. V., Kowalski, L., Duszczyk, J. and Katgerman, L. 2003. Comparison of Numerical Codes for Simulation of Powder Injection Moulding. Powder Metallurgy. 46(1): 55–60.

Pease, G. S. 1993. Taguchi Methods: A Hands-on Approach to Quality Engineering. Addison Wesley, New York.

Ghani, J. A., Choudhury, I. A. and Hassan, H. H. 2004. Application of Taguchi Method in the Optimization of End Milling Parameters. Journal of Materials Processing Technology. 145: 84–92.

Park, S. H. 1996. Robust Design and Analysis for Quality Engineering. Chapman & Hall, London.

Ahn, S., Park, S. J., Lee, S., Atre, S. V. and German, R. M. 2009. Effect of Powders and Binders on Material Properties and Molding Parameters in Iron and Stainless Steel Powder Injection Molding Process. Powder Technology. 193(2): 162–169.

Ibrahim, M. H. I., Muhamad, N., Sulong, A. B., Murtad-hahadi, Jamaludin, K. R., Ahmad, S. and Nor, N. H. M. 2008. Rheological Characteristic of Water Atomised Stainless Steel Powder for Micro Metal Injection Molding (Published Conference Proceedings). In Proc. of Seminar II–AMReG 08, Port Dickson, Malaysia, December.

Binet, C., Heaney, D. F., Spina, R., and Tricarico, L. 2005. Experimental and Numerical Analysis of Metal Injection Molded Products. Journal of Material Processing Technology. 164(5): 1160–1166.

Downloads

Published

2014-05-15

How to Cite

The Influence of Temperature Dependant Parameters in Plastic 0.0nd Metal Injection Molding using Taguchi Method. (2014). Jurnal Teknologi (Sciences & Engineering), 68(4). https://doi.org/10.11113/jt.v68.2995