Abstract
In this research work, an effort was made to predict the dry sliding wear response of AlMg1SiCu alloy hybrid composites which were reinforced with 10% Silicon carbide particles (SiC) together with weight fractions of 3, 6 and 9% of self-lubricant molybdenum disulphide particles (MoS2) through melt stir casting. The wear behaviour of the hybrid composite samples was evaluated based on Box-Behnken design on pin-on-disc tribometer without lubrication. The output response weight loss was employed to train the neural network model in ANFIS back-propagation algorithm. The weight loss of 9% MoS2 hybrid composite reduced at low sliding speeds, due to the development of shallow sliding grooves and MoS2-lubricated tribolayer. Scanning electron micrographs and EDS of the AlMg1SiCu alloy hybrid composites revealed a uniform distribution of SiC and MoS2 particles. The tensile strength of the as-cast hybrid composites increases as the wt.% of MoS2 particles increases, according to the tests. However, the addition of MoS2 improved the hardness of the hybrid composites until it reached 6 wt.%, after which it decreased slightly. Weight loss and coefficient of friction decreased by addition of self-lubricant MoS2 in the matrix material. Worn-out surface of the hybrid composite shows the controlling wear mechanisms of the composites, and well-trained ANFIS model could accurately predict the responses better when compared with the response surface methodology model.
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References
Rao, R.N.; Das, S.: Effect of matrix alloy and influence of SiC particle on the sliding wear characteristics of aluminium alloy composites. Mater. Design 31(3), 1200–1207 (2010). https://doi.org/10.1016/j.matdes.2009.09.032
Bauri, R.; Surappa, M.K.: Sliding wear behavior of Al–Li–SiCp composites. Wear 265(11–12), 1756–1766 (2008). https://doi.org/10.1016/j.wear.2008.04.022
Baradeshwaran, A.; Vettivel, S.C.; Elayapermal, A., et al.: Experimental investigation on mechanical behavior, modelling and optimization of wear parameters of B4C and graphite reinforced aluminium hybrid composites. Mater. Design 63, 620–632 (2014). https://doi.org/10.1016/j.matdes.2014.06.054
Vinoth, K.S.; Subramanian, R.; Dharmalingam, S., et al.: Mechanical and tribological characteristics of stir-cast Al–Si10Mg and self-lubricating Al–Si10Mg/MoS2 composites. Mater. Tech 46(5), 497–501 (2012)
Menezes, P.L.; Rohatgi, P.K.; Lovel, M.R.: Self-lubricating behaviour of graphite reinforced metal matrix composites. In: Nosonovsk, M.; Bhushan, B. (Eds.) Green Tribology, pp. 445–480. Springer, Berlin Heidelberg (2012)
Prasad, S.V.; Asthana, R.: Aluminum metal matrix composites for automotive applications; tribological considerations. Tribol. Lett. 17, 445–453 (2004)
Dharmalingam, S.; Subramanian, R.; Kök, M.: Optimization of abrasive wear performance in aluminium hybrid metal matrix composites using Taguchi–grey relational analysis. Proc. Inst. Mech. Eng Part J 227, 749–760 (2013)
Monikandan, V.V.; Joseph, M.A.; Rajendra Kumar, P.K.: Dry sliding wear studies of aluminum matrix hybrid composites. Res. Effi. Technol. 2, S12–S24 (2016)
Deuis, R.L.; Subramanian, C.; Yellup, J.M.: Dry sliding wear of aluminum composites—a review. Compos. Sci. Technol. 57, 415–435 (1997)
Sahoo, P.; Ghosh, S.: Tribological behavior of aluminium metal matrix composites—a review. J. Tribol. Res 2(1), 1–14 (2011)
Sahin, Y.: The prediction of wear resistance model for the metal matrix composites. Wear 258(11–12), 1717–1722 (2005). https://doi.org/10.1016/j.wear.2004.11.024
Velmurugan, C.; Subramanian, R.; Thirugnanam, S.: Experimental study on the effect of SiC and graphite particles on weight loss of Al 6061 hybrid composite materials. J. Tribol. Surf. Eng 2(1–2), 49–68 (2011)
Kumar, S.; Balasubramanian, V.: Effect of reinforcement size and volume fraction on the abrasive wear behaviour of AA7075 Al/SiCpP/M composites—a statistical analysis. Tribol. Int. 43(1–2), 414–422 (2010). https://doi.org/10.1016/j.triboint.2009.07.003
Suresh, S.; Shenbaga-Vinayaga-Moorthi, N.; Vettivel, S.C., et al.: Mechanical behavior and wear prediction of stir cast Al–TiB2 composites using response surface methodology. Mater. Design 59, 383–396 (2014). https://doi.org/10.1016/j.matdes.2014.02.053
Manjunath-Patel, G.C.; Krishna, P.; Parapagoundar, B.M.: Squeeze casting process modeling by a conventional statistical regression analysis approach. Appl. Math. Model 40(15–16), 6869–6888 (2016). https://doi.org/10.1016/j.apm.2016.02.029
Vijayakumar, S.; Karunamoorthy, L.: Modelling wear behaviour of Al–SiC metal matrix composites: soft computing technique. Tribol. Mater. Surf. Interfaces 6, 25–30 (2013). https://doi.org/10.1179/1751584X12Y.0000000002
Velmurugan, C.; Muthukumaran, V.; Ragupathy, K., et al.: Modelling Volume loss of heat treated Al6061 composites using ANN. Proced. Mater. Sci 5, 31–40 (2014). https://doi.org/10.1016/j.mspro.2014.07.239
Gajalakshmi, K.; Senthilkumar, N.; Prabu, B.: Multi-response optimization of dry sliding wear parameters of AA6026 using hybrid gray relational analysis coupled with response surface method. Meas. Cont. 52(5–6), 540–553 (2019). https://doi.org/10.1177/0020294019842603
Hashim, J.; Looney, L.; Hashmi, M.S.J.: Particle distribution in cast metal matrix composites—part II. J. Mater. Proc. Technol. 123, 258–263 (2002). https://doi.org/10.1016/S0924-0136(02)00099-7
Lu, J.; Lu, Z.: Optimization of stirring parameters through numerical simulation for the preparation of aluminum matrix composite by stir casting process. J. Manuf. Sci. Eng. 132(061007), 1–7 (2010). https://doi.org/10.1115/1.4002851
Sahin, Y.: Tribological behaviour of metal matrix and its composite. Mater. Des. 28, 1348–1352 (2007)
Rebba, B.; Ramanaiah, N.: Evaluation of mechanical properties of aluminium alloy (Al–2024) reinforced with molybdenum disulphide (MOS2) metal matrix composites. Procedia Mater Sci 6, 1161–1169 (2014). https://doi.org/10.1016/j.mspro.2014.07.189
Sun, C.; Song, M.; Wang, Z.; He, Y.: Effect of particle size on the microstructures and mechanical properties of SiC-reinforced pure aluminum composites. J. Mater. Eng. Perf. 20, 1606–1612 (2016)
Koker, R.; Altinkok, N.; Demir, A.: Neural network-based prediction of mechanical properties of particulate reinforced metal matrix composites using various training algorithms. Mater. Design 28(2), 616–627 (2007)
Sannino, A.P.; Rack, H.J.: Surface topography evolution during sliding wear of 2009 Al–SiCp/17–4 PH. Wear 181–183, 202–211 (1995)
Velmurugan, C.; Subramanian, R.; Thirugnanam, S., et al.: Investigation of friction and wear behavior of hybrid aluminium composites. Ind. Lub. Trib 64(3), 152 (2012). https://doi.org/10.1108/00368791211218687
Gopalakrishnan, S.; Murugan, N.: Production and wear characterisation of AA 6061 matrix titanium carbide particulate reinforced composite by enhanced stir casting method. Comp. Part B 43(2), 302–308 (2012). https://doi.org/10.1016/j.compositesb.2011.08.049
Rajesh, S.; Velmurugan, C.; Ebenezer Jacob Dhas, D.S.; Samuel Ratna Kumar, P.S.: Studies on the tribological behaviour of exsitu-synthesized AlMg1SiCu/titanium carbide/molybdenum disulfide hybrid composites. Mater. Res. Express 6, 1264 (2019). https://doi.org/10.1088/2053-1591/ab5f1e
Manjunath-Patel, G.C.; Shettigar, A.K.; Mahesh-Parappagoudar, B.: A systematic approach to model and optimize wear behaviour of castings produced by squeeze casting process. J. Manuf. Proc 32, 199–212 (2018). https://doi.org/10.1016/j.jmapro.2018.02.004
Mandal, N.; Roy, H.; Mondal, B.; Murmu, N.; Mukhopadhyay, S.: Mathematical modeling of wear characteristics of 6061 Al–alloy–SiCp composite using response surface methodology. J. Mater. Eng. Perform. 21, 17–24 (2012). https://doi.org/10.1007/s11665-011-9890-7
Hamidreza, G.; Mohd, H.I.; Norhayati, A.; Navid, M.: Microstructure development mechanical and tribological properties of a semisolid A356/xSiCp composite. J. Appl. Res. Technol. 15, 533–544 (2017). https://doi.org/10.1016/j.jart.2017.06.002
Kanthavel, K.; Sumesh, K.R.; Saravanakumar, P.: Study of tribological properties on Al/Al2O3/MoS2 hybrid composite processed by powder metallurgy. Alexan. Eng. J. 55, 13–17 (2016). https://doi.org/10.1016/j.aej.2016.01.024
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Ragupathy, K., Velmurugan, C., Ebenezer Jacob Dhas, D.S. et al. Prediction of Dry Sliding Wear Response of AlMg1SiCu/Silicon Carbide/Molybdenum Disulphide Hybrid Composites Using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Response Surface Methodology (RSM). Arab J Sci Eng 46, 12045–12063 (2021). https://doi.org/10.1007/s13369-021-05820-3
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DOI: https://doi.org/10.1007/s13369-021-05820-3