Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC – Taguchi Method and Grey Relational Analysis


  • S. H. Tomadi Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • J. A. Ghani Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia
  • C. H. Che Haron Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia
  • M. S. Kasim Department of Manufacturing Process Engineering, Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, 76100 Melaka, Malaysia
  • A. R. Daud School of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia




AlSi/AlN MMC, carbide tools, surface roughness, tool life, cutting force, material removal, Taguchi method, grey relational analysis


The main objective of this paper is to investigate and optimize the cutting parameters on multiple performance characteristics in end milling of Aluminium Silicon alloy reinforced with Aluminium Nitride (AlSi/AlN MMC) using Taguchi method and Grey relational analysis (GRA). The fabrication of AlSi/AlN MMC was made via stir casting with various volume fraction of particles reinforcement (10%, 15% and 20%). End milling machining was done under dry cutting condition by using two types of cutting tool (uncoated & PVD TiAlN coated carbide). Eighteen experiments (L18) orthogonal array with five factors (type of tool, cutting speed, feed rate, depth of cut, and volume fraction of particles reinforcement) were implemented. The analysis of optimization using GRA concludes that the better results for the combination of lower surface roughness, longer tool life, lower cutting force and higher material removal could be achieved when using uncoated carbide with cutting speed 240m/min, feed 0.4mm/tooth, depth of cut 0.3mm and 15% volume fraction of AlN particles reinforcement. The study confirmed that with a minimum number of experiments, Taguchi method is capable to design the experiments and optimized the cutting parameters for these performance characteristics using GRA for this newly develop material under investigation.


Kennedy, F. E., Balbahadur, A. C, Lashmore, D.S. 1997. The Friction and Wear of Cu-based Silicon Carbide Particulate Metal Matrix Composites for Brake Applications. Wear. 203/204: 715–721.

Muthukrishnan, N., & Murugan, M., & Prahlada Rao, K. 2008. An Investigation on the Machinability of Al-SiC Metal Matrix Composites Using Pcd Inserts. Int J Adv Manuf Technol. 38: 447–454.

Andrewes, C. J. E, Feng, H. Y., Lau, W. M. 2000. Machining of an Aluminum/SiC Composite Using Diamond Inserts. J Mater Process Technol. 102: 25–29.

El-Gallab, M., Sklad, M. 1998. Machining of Al/SiC Particulate Metal Matrix Composites. Part I: Tool performance. J. Mater. Process. Technol. 83: 151–158.

Hooper, R. M., Henshall, J. L., Klopfer, A. 1999. The Wear of Polycrystalline Diamond Tools Used in the Cutting of Metal Matrix Composites. Int. J. Refract. Metal Hard. Mater. 17: 103–109.

Wang, Z., Meng, H., Fu, J. 2010. Novel Method for Evaluating Surface Roughness by Grey Dynamic Filtering. Measurement. 43(1): 78–82.

Yahya Altunpak & Hatem Akbulut. 2009. Effects of Aging Heat Treatment on Machinability of Alumina Short Fiber Reinforced LM 13 Aluminum Alloy. Int J Adv Manuf Technol. 43: 449–454.

Clyne, T.W., & Withers, P.J. 1993. An Introduction to Metal Matrix Composites. Cambridge University Press, Cambridge. 479–480.

Sanjit Moshat, Saurav Datta, Asish Bandyopadhyay and Pradip Kumar Pal. 2010. Optimization of CNC end milling process parameters using PCA-based Taguchi Method. International Journal of Engineering, Science and Technology. 2(1):. 92–102.

Alakesh Manna, Bhattacharayya, B. 2005. Influence of Machining Parameters on the Machinability of Particulate Reinforced Al/SiC–MMC. Int J Adv Manuf Technol. 25: 850–856.

Rajesh Kumar Bhushan & Sudhir Kumar & Das, S. 2010. Effect of Machining Parameters on Surface Roughness and Tool Wear for 7075 Al alloy SiC composite. Int J Adv Manuf Technol. 50: 459–469.

Madhav Phadke, S. 2008. Quality Engineering Using Robust Design. Pearson Education Inc. and Dorling Kindersley Publishing Inc, New Delhi.

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

Hasan Oktem, Tuncay Erzurumlu & Mustafa Col. 2006. A study of the Taguchi Optimization Method for Surface Roughness in Finish Milling of Mold Surfaces. Int J Adv Manuf Technol. 28: 694–700.

Raviraj Shetty, Raghuvir B. Pai, Shrikanth S.Rao & Rajesh Nayak. 2009. Taguchi’s Technique in Machining of Metal Matrix Composites, Vol. XXXI, No. 1, January-March, ABCM.

Nalbant, M., Go¨kkaya, H., & Sur, G. 2007. Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning, Materials and Design 28 1379–1385.

Radhakrishnan Ramanujam, Nambi Muthukrishnan & Ramasamy Raju, 2011. Optimization of Cutting Parameters for Turning Al-SiC(10p) MMC using ANOVA and Grey Relational Analysis. International Journal of Precision Engineering and Manufacturing. 12(4): 651–656.

Deng, J. 1989. Introduction to Grey System. Journal of Grey System. 1(1): 1–24.

Kopac, J., Krajnik, P. 2007. Robust Design of Flank Milling Parameters Based on Grey-Taguchi Method. Journal of Materials Processing Technology. 191: 00–403.

ISO 8688-2. 1989. Tool Life Testing in Milling. Part 2: End milling.




How to Cite

Tomadi, S. H., Ghani, J. A., Che Haron, C. H., Kasim, M. S., & Daud, A. R. (2014). Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC – Taguchi Method and Grey Relational Analysis. Jurnal Teknologi, 68(4). https://doi.org/10.11113/jt.v68.2992