Machining Behavior of Al-MMC Reinforced with Hybrid Additives: Effects of Cutting Parameters – A Taguchi Approach

Document Type : Research Article

Authors

Faculty of Materials and Manufacturing Technologies, Malek Ashtar University of Technology, Tehran, Iran

Abstract

Aluminum-based composites reinforced with Mg₂Si particles are valued for their engineering properties. This study examines how cutting parameters and Ag, Bi, and Sr additives affect tool wear and surface roughness during both dry and wet turning of Al–Mg₂Si composites. Using a Taguchi design, we varied spindle speed, feed rate, depth of cut, and lubrication to determine their relative impacts on tool wear area and surface roughness. Composites were fabricated through casting and examined using SEM–EDS techniques to assess microstructural characteristics and wear morphology. Feed rate emerged as the most critical factor, while wet machining with a biodegradable fluid markedly improved both tool life and finish. Among the materials tested, the composite containing all three additives delivered the lowest wear and finest surface. Specifically, the 14.47% improvement in dispersion uniformity was observed when all additives were used, while tool wear was reduced by 24.04%, and surface roughness improved by 18.94% under optimized machining conditions (spindle speed of 1000 rpm, feed rate of 0.12 mm/rev, and depth of cut of 1 mm). Regression modeling supported the experimental findings and demonstrated strong predictive accuracy. Confirmation trials under optimized conditions verified these trends. These results highlight the role of additive elements not only in modifying microstructure but also in enhancing machinability. The findings provide clear guidance on selecting additive combinations and machining settings to maximize productivity, extend tool life, and achieve superior surface integrity in Al–Mg₂Si composite turning.

Keywords

Main Subjects


[1]   Emamy, M., Khorshidi, R. & Raouf, A.H., 2011. The influence of pure Na on the microstructure and tensile properties of Al-Mg2Si metal matrix composite. Materials Science and Engineering: A, 528 (13-14), pp.4337-4342.
[2]   Hadian, R., Emamy, M., Varahram, N. & Nemati, N., 2008. The effect of li on the tensile properties of cast Al–Mg2Si metal matrix composite. Materials Science and Engineering: A, 490 (1-2), pp.250-257.
[3]   Monaghan, J. & Brazil, D., 1998. Modelling the flow processes of a particle reinforced metal matrix composite during machining. Composites Part A: Applied Science and Manufacturing, 29 (1-2), pp.87-99.
[4]   Bharat, N. & Bose, P., 2023. Microstructure, texture, and mechanical properties analysis of novel aa7178/sic nanocomposites. Ceramics International, 49(12), pp.20637-20650.
[5]   Igwe, N.C. & Ozoegwu, C.G., 2024. Analyzing empirically and optimizing surface roughness and tool wear during turning aluminum matrix/rice husk ash (rha) composite. The International Journal of Advanced Manufacturing Technology, 134(3), pp.1563-1580.
[6]   Przestacki, D., Szymanski, P. & Wojciechowski, S., 2016. Formation of surface layer in metal matrix composite a359/20sicp during laser-assisted turning. Composites Part A: Applied Science and Manufacturing, 91, pp.370-379.
[7]   Subramanyam, B. & Periyasamy, P., 2024. Microstructure & mechanical properties evaluation of Al6082/AlSi10 Mg composite for light weight structural applications. Mechanics of Advanced Composite Structures, 11(2), pp.309-320.
[8]   Cho, H., Jun, Y. & Yang, M.-Y., 1993. Five-axis cnc milling for effective machining of sculptured surfaces. The International Journal of Production Research, 31 (11), pp.2559-2573.
[9]   Nicholls, C.J., Boswell, B., Davies, I.J. & Islam, M.N., 2017. Review of machining metal matrix composites. The International Journal of Advanced Manufacturing Technology, 90, pp.2429-2441.
[10] Lakshmanan, K., Pandian, P., Sivaprakasam, R. & Sundaram, K., 2025. Studies on progress of aluminum based composites for automotive applications and its damping characteristics – a review. Mechanics of Advanced Composite Structures, 12(1), pp.25-42.
[11] Sougavabar, M.A., Niknam, S.A. & Davoodi, B., 2023. Experimental characterization of tool wear morphology in milling of al520-mmc reinforced with sic particles and additive elements bi and sn. Journal of Materials Research and Technology, 24, pp.571-585.
[12] Steinbacher, L., Wegmann, T. & Freitag, M., 2024. Production control with reinforcement learning for a matrix-structured production system. International Journal of Production Research, pp.1-23.
[13] Alipour Sougavabar, M., Niknam, S.A., Davoodi, B. & Songmene, V., 2022. Milling al520-mmc reinforced with sic particles and additive elements bi and sn. Materials, 15(4), pp.1533.
[14] Lalmuan, S., Das, S., Chandrasekaran, M. & Tamang, S.K., 2017. Machining investigation on hybrid metal matrix composites-a review. Materials Today: Proceedings, 4(8), pp.8167-8175.
[15] Fard, R.K., Afza, R.A. & Teimouri, R., 2013. Experimental investigation, intelligent modeling and multi-characteristics optimization of dry wedm process of al–sic metal matrix composite. Journal of Manufacturing Processes, 15(4), pp.483-494.
[16] Bharat, N. & Bose, P., 2022. A study on conventional and non-conventional machining behaviour of metal matrix composites: A review. International Journal of Ambient Energy, 43(1), pp.7600-7616.
[17] Bharat, N. & Bose, P., 2024. Effect of sic and tio2 nanoparticles on machinability of aa7178 metal matrix composite: A comparative analysis using taguchi and gra approaches. JOM, 76(6), pp.2794-2806.
[18] Rodríguez, J., Garrido-Maneiro, M., Poza, P. & Gómez-Del Río, M., 2006. Determination of mechanical properties of aluminium matrix composites constituents. Materials Science and Engineering: A, 437(2), pp.406-412.
[19] Palanikumar, K. & Karthikeyan, R., 2007. Assessment of factors influencing surface roughness on the machining of al/sic particulate composites. Materials & design, 28(5), pp.1584-1591.
[20] Ozben, T., Kilickap, E. & Cakır, O., 2008. Investigation of mechanical and machinability properties of sic particle reinforced Al-MMC. Journal of materials processing technology, 198 (1-3), pp.220-225.
[21] Weng, Y., Ding, L., Zhang, Z., Jia, Z., Wen, B., Liu, Y., Muraishi, S., Li, Y. & Liu, Q., 2019. Effect of ag addition on the precipitation evolution and interfacial segregation for al–mg–si alloy. Acta Materialia, 180, pp.301-316.
[22] Nordin, N.A., Farahany, S., Ourdjini, A., Bakar, T.a.A. & Hamzah, E., 2013. Refinement of mg2si reinforcement in a commercial al–20% mg2si in-situ composite with bismuth, antimony and strontium. Materials Characterization, 86, pp.97-107.
[23] Angadi, S.B., Kumar, S., Nagaral, M., Auradi, V. & Valukula, B., 2025. Effect of ceramic boron carbide particles addition on the mechanical and microstructural characteristics of Al 7020 alloy composites. Mechanics of Advanced Composite Structures, 12(1), pp.169-180.
[24] Laghari, R.A., Jamil, M., Laghari, A.A., Khan, A.M., Akhtar, S.S. & Mekid, S., 2023. A critical review on tool wear mechanism and surface integrity aspects of sicp/al mmcs during turning: Prospects and challenges. The International Journal of Advanced Manufacturing Technology, 126(7), pp.2825-2862.
[25] Ciftci, I., 2009. Cutting tool wear mechanism when machining particulate reinforced mmcs. Technology, 12(4), pp.275-282.
[26] Kannan, T., Srinivasan, T., Kumari, N.C.K., Mohankumar, M. & Sivaraj, S., 2025. Modern machining of metal matrix composites. Fundamentals and advances in metal matrix composites. CRC Press, pp.196-207.
[27] Gutierrez-Santillan, A., Figueroa, C.G., Reyes-Ruiz, C., Ortiz, A. & Schouwenaars, R., 2025. Influence of heat treatment on the wear behavior of an Al-Cu-Mg-Sn MMC reinforced with tib2. Wear, pp.205963.
[28] Chen, Z., Ding, F., Zhang, Z., Gu, D., Liao, Q., Chen, M. & Wang, B., 2024. The study on the effect of various tool wear indicators on the machining of mmcs. Journal of Materials Research and Technology, 30, pp.231-244.
[29] Sandhu, I.S., Maurya, S.K. & Manna, A., 2023. Experimental investigation on ecdm parameters during µ-drilling of fabricated Zn/(ag+ fe)-mmc for biodegradable application. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 45(8), pp.402.
[30] Sundaramoorthy, R. & Ravindran, R., 2019. Tool wear optimization in CNC milling operation of Al–Mg2Si alloys by taguchi method. SN Applied Sciences, 1(9), pp.1093.
[31] Thilagham, K., Krishnamachary, P., Saravanakumar, S., Mahendran, A., Kaliappan, S., Soudagar, M.E.M., Kannan, S., Al Obaid, S. & Alharbi, S.A., 2025. Optimization of machining aa4015/b4c metal matrix composites by taguchi method. Surface Review and Letters, 32(02), pp.2450108.
[32] Bharat, N., Bose, P., Kumar, V. & Mishra, V., 2025. Comparative study of supervised learning algorithm to predict cutting force and surface roughness during laser assisted turning of novel aa7178/ntio2 nanocomposite. Optics & Laser Technology, 192, pp.113430.
[33] Abellán-Nebot, J.V., Vila Pastor, C. & Siller, H.R., 2024. A review of the factors influencing surface roughness in machining and their impact on sustainability. Sustainability, 16(5), pp.1917.
[34] Farahany, S., Ghandvar, H., Bozorg, M., Nordin, A., Ourdjini, A. & Hamzah, E., 2020. Role of sr on microstructure, mechanical properties, wear and corrosion behaviour of an al–mg2si–cu in-situ composite. Materials Chemistry and Physics, 239, pp.121954.
[35] Wu, X.-F., Zhang, G.-A. & Wu, F.-F., 2013. Influence of bi addition on microstructure and dry sliding wear behaviors of cast al-mg2si metal matrix composite. Transactions of Nonferrous Metals Society of China, 23(6), pp.1532-1542.
[36] Chikkanna, A.K., Manjunath, K.V., Jayappa, K., Reddy, M. & Biradar, A., 2024. Effect of chilling & b4c content on machining efficiency and surface quality in wire-cut machining of aluminum matrix chilled composites. Mechanics of Advanced Composite Structures, 11(2), pp.341-350.
[37] Doluk, E., Rudawska, A. & Legutko, S., 2025. Effect of depth of cut and number of layers on the surface roughness and surface homogeneity after milling of al/cfrp stacks. Materials, 18(1), pp.206.
[38] Prabhu, R. & Kanthababu, M., 2024. Prediction of surface roughness and depth of cut in abrasive waterjet milling of alumina ceramic using machine learning algorithms. Expert Systems with Applications, 246, pp.123168.
[39] Kumar P, K., Lokeshwar, G., Reddy, C.U.K., Jyotis, A., Shetty, S., Acharya, S. & Shetty, N., 2024. Effect of drilling parameters on surface roughness and delamination of ramie–bamboo-reinforced natural hybrid composites. Journal of Manufacturing and Materials Processing, 8(5), pp.195.
[40] Pang, Z., Wang, S., Yin, X., Yu, S. & Du, N., 2022. Effect of spindle speed during ultrasonic rolling on surface integrity and fatigue performance of ti6al4v alloy. International Journal of Fatigue, 159, pp.106794.
[41] Al-Tameemi, H.A., Al-Dulaimi, T., Awe, M.O., Sharma, S., Pimenov, D.Y., Koklu, U. & Giasin, K., 2021. Evaluation of cutting-tool coating on the surface roughness and hole dimensional tolerances during drilling of al6061-t651 alloy. Materials, 14(7), pp.1783.
[42] Davoodi, B. & Tazehkandi, A.H., 2014. Experimental investigation and optimization of cutting parameters in dry and wet machining of aluminum alloy 5083 in order to remove cutting fluid. Journal of Cleaner Production, 68, pp.234-242.
[43] Das, M., Mishra, D. & Mahapatra, T.R., 2019. Machinability of metal matrix composites: A review. Materials Today: Proceedings, 18, pp.5373-5381.
[44] Aabid, A., Murtuza, M.A., Khan, S.A. & Baig, M., 2022. Optimization of dry sliding wear behavior of aluminium-based hybrid mmc's using experimental and doe methods. journal of materials research and technology, 16, pp.743-763.
[45] Ahmad, S., Tian, Y., Hashmi, A.W., Singh, R.K., Iqbal, F., Dangi, S., Alansari, A., Prakash, C. & Chan, C.K., 2024. Experimental studies on mechanical properties of al-7075/tio2 metal matrix composite and its tribological behaviour. Journal of Materials Research and Technology, 30, pp.8539-8552.
[46] Davim, J.P., 2001. A note on the determination of optimal cutting conditions for surface finish obtained in turning using design of experiments. Journal of materials processing technology, 116(2-3), pp.305-308.
[47] Bharat, N., Kumar, A. & Bose, P., 2022. A study on soft computing optimizing techniques. Materials Today: Proceedings, 50, pp.1193-1198.
[48] Jiang, B., Wang, H., Yi, D., Tian, Y., Shen, F., Wang, B., Liu, H. & Hu, Z., 2020. Effect of ag addition on the age hardening and precipitation behavior in an al-cu-li-mg-zn-mn-zr alloy. Materials Characterization, 162, pp.110184.
[49] Cetin, M.H. & Kilincarslan, S.K., 2020. Effects of cutting fluids with nano-silver and borax additives on milling performance of aluminium alloys. Journal of Manufacturing Processes, 50, pp.170-182.
[50] Bertolini, R., Andrea, G., Alagan, N.T. & Bruschi, S., 2023. Tool wear reduction in ultrasonic vibration-assisted turning of sic-reinforced metal-matrix composite. Wear, 523, pp.204785.
[51] Laghari, R.A., He, N., Jamil, M. & Gupta, M.K., 2023. Tribological and machining characteristics of milling sicp/al mmc composites under sustainable cooling conditions. The International Journal of Advanced Manufacturing Technology, 128(5-6), pp.2613-2630.
[52] Sankhla, A.M., Patel, K.M., Makhesana, M.A., Saxena, K.K. & Gupta, N., 2022. Experimental investigation of tool wear in machining of sic based al-mmc. Advances in Materials and Processing Technologies, 8(sup2), pp.635-654.
[53] Bharat, N. & Bose, P., A study on machining behaviour of metal matrix composite: A review.  International conference on energy, materials sciences & mechanical engineering, 2020. Springer, 367-374.
[54] Usca, Ü.A., Uzun, M., Şap, S., Kuntoğlu, M., Giasin, K., Pimenov, D.Y. & Wojciechowski, S., 2022. Tool wear, surface roughness, cutting temperature and chips morphology evaluation of al/tin coated carbide cutting tools in milling of cu–b–crc based ceramic matrix composites. journal of materials research and technology, 16, pp.1243-1259.
[55] Bharat, N. & Bose, P., 2021. An overview on machinability of hard to cut materials using laser assisted machining. Materials Today: Proceedings, 43, pp.665-672.
[56] Singh, S., Kaushal, S. & Forzan, M., 2022. Materials system for functional properties of metal matrix composites: Self-lubricating, anti-wear, and self-cleaning properties. Metal matrix composites. CRC press, pp.1-26.
[57] Valizade, N. & Farhat, Z., 2024. A review on abrasive wear of aluminum composites: Mechanisms and influencing factors. Journal of Composites Science, 8(4), pp.149.
[58] Bharat, N. & Bose, P., 2025. Predictive modeling of cutting forces in laser-assisted turning of aa7178-nano sic composite using different backpropagation neural networks. Measurement, 245, pp.116673.
[59] Gassour, H., El-Magd, G.E.-D.a.A., Mazen, A. & Ibrahim, A.M.M., 2023. Characterization of aluminum composite reinforced by silver nanoparticles. Scientific reports, 13(1), pp.17952.