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FME Transactions
2020, vol. 48, iss. 1, pp. 173-179
article language: English
document type: unclassified
published on: 04/05/2020
doi: 10.5937/fmet2001173M
Creative Commons License 4.0
Machining parameter optimization of Al/SiC/Gr hybrid metal matrix composites using ANOVA and grey Relational analysis
School of Mechanical Engineering and Building Science, Vellore Institute of Technology, Chennai, India



This research work focuses on the impact of graphite addition to the Al/SiC hybrid metal matrix composites manufactured by stir casting process. Three specimens were prepared with Al6061 alloy + 5 wt. % SiC and varying weight percent of graphite. Al6061 matrix material is suitable for machining and welding applications commonly used in construction of aircraft wings and fuselages. Machining of composite materials is often required to meet dimensional tolerances, surface roughness and to create holes. A layered SiC/Gr composite material is used in gas turbine combustor can. Machining of Al/SiC/Gr hybrid composite was done in Esteem ETM 356 lathe using tungsten carbide insert. Optimization of three machining parameters cutting speed, feed rate and depth of cut, was done using four levels. From ANOVA results feed rate (35.83%) is the important factor influencing surface roughness. Grey Relational analysis was done for simultaneous improvement of Material Removal Rate and surface roughness.


hybrid metal matrix composites; Al6061; SiC; Graphite; Surface roughness; ANOVA; GRA


Abdullah, O.I., Schlattmann, J., Lytkin, M. (2015) Effect of Surface roughness on the thermoelastic behaviour of friction clutches. FME Transactions, Vol. 43, No. 3, pp. 241-248
Basavarajappa, S., Davim, P.J. (2013) Influence of graphite particles on surface roughness and chip formation studies in turning metal matrix composites. Materials Research, 16(5), 990-996
Boothroyd, G., Winston, A.K. (2011) Fundamentals of machining and machine tools. CRC Press-Taylor & Francis Group
Dhawan, V., Debnath, K., Singh, I., Singh, S. (2016) Prediction of forces during drilling of composite laminates using artificial neural network: A new approach. FME Transactions, vol. 44, br. 1, str. 36-42
Harish, K.G., Ketan, V., Alakesh, M., Rajesh, K. (2012) Hybrid Metal Matrix Composites and firther improvement in their machinability: A Review. International Journal of Latest Research in Science and Technology, Vol. I, Issue 1, pp.36-44
Hull, D., Clyne, T.W. (2014) An introduction to composite materials. Cambridge University Press
Lazarević, D., Janković, P., Madić, M., Lazarević, A. (2015) Robust conditions for cutting force minimization in polyamide turning process. FME Transactions, vol. 43, br. 2, str. 114-118
Marichamy, S., Ravichandran, M., Stalin, B., Babu, S.B. (2019) Optimization of abrasive water jet machining parameters for α-β brass using Taguchi methodology. FME Transactions, vol. 47, br. 1, str. 116-121
Montgomery, D.C. (2014) Design and analysis of experiments. John Wiley & Sons
Muthukrishnan, N., Davim, P.J. (2009) Optimization of machining parameters of Al/SiC-MMC with ANOVA and ANN analysis. Journal of Materials Processing Technology, 209(1), 225-232
Ozben, T., Kilickap, E., Çakır, O. (2008) Investigation of mechanical and machinability properties of SiC particle reinforced Al-MMC. Journal of Materials Processing Technology, 198(1-3), 220-225
Sahoo, A.K., Pradhan, S. (2013) Modeling and optimization of Al/SiCp MMC machining using Taguchi approach. Measurement, 46(9), 3064-3072
Sanjay, K.M. (2002) Composites manufacturing materials, product and process engineering. CRC Press
Sivaiah, P., Chakradhar, D. (2018) Multi performance characteristics optimization in cryogenic turning of 17-4 PH stainless steel using Taguchi coupled grey relational analysis. Advances in Materials and Processing Technologies, 4(3), 431-447
Suhasini, G., Mamidala, R., William, P. (2013) Machining of MMCs : A review. Machining Science and technology, Vol.17, Issue 1, pp.41-73
Suresh, P., Marimuthu, K., Ranganathan, S., Rajmohan, T. (2014) Optimization of machining parameters in turning of Al-SiC-Gr hybrid metal matrix composites using grey-fuzzy algorithm. Transactions of Nonferrous Metals Society of China, 24(9), 2805-2814
Tóth-Laufer, E., Horváth, R. (2017) Fuzzy model based surface roughness prediction of fine turning. FME Transactions, vol. 45, br. 1, str. 181-188
Xianhua, T., Jun, Z., Wenzhen, Q., Feng, G., Yintaowang,, Helin, P. (2017) Performance of ceramic tools in high speed cutting iron-based super alloys. Machining Science and Technology, Vol 21, Issue 2, pp.279-290