Abstract
A machining process has been conducted to study the machining performance of aluminum silicon alloy (AlSi) metal matrix composite which has been reinforced with aluminum nitride (AlN) using the uncoated tool of inserts. Experiments were conducted at various cutting speeds, feed rates, and depths of cut, according to a fractional factorial array L9 of the Taguchi method. Statistical analysis including the signal-to-noise (S/N) ratio and analysis of variance was applied to study the characteristic performance of cutting speeds, feed rates and depths of cut during the milling operation. The machining performances were observed through material removal rate and cutting force, and these measurements were analyzed using the Taguchi method. From the Taguchi analysis, it was found that a cutting speed of 300 m/min; feed rate of 0.8 mm/tooth and depth of cut of 0.4 mm were the optimum machining parameters for the material removal rate, while the cutting speed of 370 m/min; feed rate of 0.4 mm/tooth and depth of cut of 0.3 mm were the optimum machining parameters for the cutting force.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Srinivasan, A., Arunachalam, R., Ramesh, S., Senthilkumaar, J.S.: Machining performance study on metal matrix composites-a response surface methodology approach. Am. J. Appl. Sci. 9(4), 478–483 (2012)
Chandrasekaran, M., Devarasiddappa, D.: Development of Predictive Model for Surface Roughness in end Milling of Al-SiCp Metal Matrix Composites using Fuzzy Logic, vol. 68, World Academy of Science, Engineering and Technology (2012)
Tomadi, S.H., Ghani, J.A., Haron, C.H., Daud, A.R.: Optimization of cutting parameter on tool life and surface roughness in end milling of AlSi/AlN MMC. In: Taguchi Method and Grey Relational Analysis. ICRQE 13, Proceeding (2013)
Abdullah, Y.: Fabrikasi Dan Pencirian Komposit Al-Si Diperkuat Zarah Halus SiC Dengan Menggunakan Tuangan Anduk. Universiti Kebangsaan Malaysia, Bangi, Selangor (2009)
Babu, N.H., Fan, Z., Eskin, D.G.: Application of external fields to technology composite materials. In: TMS2013 Annual Meeting Supplemental Proceedings TMS (2013)
Tomadi, S.H., Ghani, J.A., Che Hassan, C.H., Daud, A.R.: Effect of machining parameter on tool wear and surface roughness of Al-AlN reinforce MMC in end milling machining. J. Eng. E-trans. Electron. J. Univ. Malaya (EJUM) (ISSN 1823-6379) (2011)
Wang, X., Feng, C.X.: Development of empirical model for surface roughness prediction in finish turning. Int. J. Adv. Manuf. Technol. 20(5), 348–356 (2002)
Tomadi, S.H., Ghani, J.A., Che Haron, C.H., Daud, A.R.: Optimation of cutting parameters for end milling AlSi/AlN metal matrix composite using the taguchi method. Mater. Sci. Forum 773–774, 437–444 (2014)
Radika, N., Subramaniam, R., Babudeva Senapathi, S.: Machining parameter optimization of an aluminium hybrid metal matrix composite by statistical modelling. Ind. Lubr. Technol. 65(6), 425–435 (2013)
Park, S.H.: Robust Design and Analysis for Quality Engineering. Chapman and Hall (1996)
Yang, W.H., Tarng, Y.S.: Design optimisation of cutting parameters for turning operations based on the taguchi method. J. Mater. Process. Technol. 84, 122–129 (1998)
Lin, T.R.: Experimental design and performance analysis of TiN-coated carbide tool in face milling stainless steel. J. Mater. Process. Technol. 1–7 (2002) (in Press)
Jaharah, A.G., Choudhury, I.A., Hassan, H.H.: Application of taguchi method on the optimization of end milling parameters. J. Mater. Process. Technol. 154, 84–92 (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Said, M.S., Wan, N.N., Othman, N., Ab Kadir, A.R., Zubir, B. (2019). Material Removal Rate and Cutting Force of AlSi/10%AlN Metal Matrix Composite Material in Milling Process Using Uncoated Inserts. In: Ismail, A., Abu Bakar, M., Öchsner, A. (eds) Advanced Engineering for Processes and Technologies. Advanced Structured Materials, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-030-05621-6_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-05621-6_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-05620-9
Online ISBN: 978-3-030-05621-6
eBook Packages: EngineeringEngineering (R0)