Dynamic Response Optimization for Cemented Carbide Injection Molding


  • Sri Yulis M. Amin Department of Engineering Mechanics, Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia
  • Norhamidi Muhamad Precision Research Group, Dept. of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Darul Ehsan, Malaysia
  • Khairur Rijal Jamaludin Department of Mechanical Engineering, Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia




Cemented carbide, metal injection molding, optimization


The need to optimize the injection molding parameters for producing cemented carbide parts via Metal Injection Molding process is crucial to ensure the system’s robustness towards manufacturer and customer’s satisfactions. Defect free product with best density can be produced while reducing time and cost in manufacturing. In this work, the feedstock consisting of WC-Co powders, mixed with palm stearin and polyethylene binder system was injection molded to produce green parts. Several processing variables, namely powder loading, injection temperature, holding pressure and flowrate, were optimized towards the density of the green body, as the response factor. By considering humidity level at morning and evening conditions as the noise factor, the results show the optimum combination of injection molding parameters that produces best green density. The green part exhibited best density by following this optimum processing parameters, A2B3C1D1, that are flowrate at 20 ccm/s, powder loading at 63% vol., injection temperature at 140°C, and holding pressure at 1700 bar.


German, R. M. and Bose, A. 1997. Injection Molding of Metal and Ceramic, Metal Powder Industries Federation, Princeton, N.J.

Hsu, K. C., and Lo, G. M, 1996. Effect of Binder Composition on Rheology of Iron Powder Injection Molding Feedstocks: Experimental Design. Powder Metallurgy. 39(4): 286–290.

Johannaber, F. 1994. Injection Molding Machines-A user’s Guide. Hanser Publishers. Munich Vienna New York.

Jamaludin, K. R., Muhamad, N., Amin, S. Y. M., Rahman, M. N. A., Ismail, M.H., Murtadhahadi. 2008. Injection Moulding Parameter Optimization Using Taguchi Method for Highest Green Strength for Bimodal Powder Mixture with SS 316L in PEG and PMMA. Proceeding for World Powder Metallurgy & Partivulate Material Congress, Washington DC, USA.

Ibrahim, M. H. I, Muhamad, N., Sulong, A. B., Jamaludin K. R., Nor, N. H. M, Ahmad, S., Harun, M. R. & Zakaria, H. 2010. Parameters Optimization Towards Highest Micro MIM density by using Taguchi Method. Key Engineering Materials. 443: 705–710.

Nor, N. H. M, Muhamad, N., Sulong, A. B., Jamaludin K. R., Ahmad, S., Harun, M. R. & Ibrahim, M. H. I. 2010. Parameter Optimization of Injection Molding Ti-6Al-4V Powder and Palm Stearin Binder System for Highest Green Density using Taguchi Method. Key Engineering Materials. 443: 69–74.

Phadke, M. S. 2008. Quality Engineering Using Robust Design. AT & T Bell Laboratories. Pearson Education.

Taguchi., G., Chowdhury, S. & Taguchi, S. 2000. Robust Engineering. McGraw-Hill.

Berginc, B., Kampus, Z., Sustarsic. 2007. Influence of Feedstock Characteristics and Process Parameters on Properties of MIM Parts Made of 316L. Powder Metallurgy. 50(2): 172–183.

Nutthita, C., Messer, P. F. & Davies, H. A. 2008. Application of Polyethylene Glycol and Polymethyl Methacrylate as a Binder for Powder Injection Moulding of Hardmetals. Chiang Mai Journal Science. 35(1): 188–195.




How to Cite

M. Amin, S. Y., Muhamad, N., & Jamaludin, K. R. (2014). Dynamic Response Optimization for Cemented Carbide Injection Molding. Jurnal Teknologi, 68(4). https://doi.org/10.11113/jt.v68.2993