Abstract
This investigation deals with an experimental analysis done on dry sliding wear behaviour of aluminium matrix composites reinforced with WC (tungsten carbide) particles. The composites were processed through powder metallurgy (P/M) technique with the addition of various fractions of WC particles. Results of scanning electron microscope (SEM) examinations and XRD analysis showed better dispersion of the reinforced particles and good matrix–reinforcement interface integrity. The results of dry sliding wear tests conducted on composite samples were analysed for varied conditions of WC volume fraction and sliding distance. The wear properties of composites were significantly affected by the variation of the WC volume percentage (5–25%). Smother wear tracks and closely spaced grooves on the composite pin worn surfaces were found for higher volume fraction WC particles. The postulated regression models for prediction of wear behaviour approximate their experimental values with an estimated error from 1.97 to 6.56%. The derived optimal wear properties to improve the sliding wear performance of the composites through a novel hybrid (GRA integrated TLBO) multi-response optimization approach are in a closer correlation with the experimentally measured values. Also, wear performance predicted values through hybrid multi-response optimization are closer to their validation experimental results compared with the predicted values through TLBO and GRA approaches. The derived optimal set of wear properties are 1.921 mm3/m wear rate and 0.292 coefficient of friction at 15 vol% of WC, 10 N applied load, 775 m sliding distance, and 1 m/s sliding velocity. The surfaces of the composite samples tested at the derived set of optimal wear behavioural parameters were also examined through SEM and analysed.
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Lee H S, Yeo J S, Hong S H, Yoon D J, and Na K H, J Mater Process Technol 113 (2001) 202. https://doi.org/10.1016/s0924-0136(01)00680-x.
Kaczmar J W, Pietrzak K, and Włosiński W, J Mater Process Technol 106 (2000) 58. https://doi.org/10.1016/s0924-0136(00)00639-7.
Canakci A, Ozsahin S, and Varol T, Arab J Sci Eng 39 (2014) 6351. https://doi.org/10.1007/s13369-014-1157-9.
Dasgupta R, ISRN Metall 2012 (2012) 1. https://doi.org/10.5402/2012/594573.
Srivatsan T S, Ibrahim I A, Mohamed F A, and Lavernia E J, J Mater Sci 26 (1991) 5965. https://doi.org/10.1007/bf01113872.
Jiang Q C, Wang H Y, Ma B X, Wang Y, and Zhao F, J Alloys Compd 386 (2005) 177. https://doi.org/10.1016/j.jallcom.2004.06.015.
Slipenyuk A, Kuprin V, Milman Y, Goncharuk V, and Eckert J, Acta Mater 54 (2006) 157. https://doi.org/10.1016/j.actamat.2005.08.036.
Wang Z, Song M, Sun C, and He Y, Mater Sci Eng A 528 (2011) 1131. https://doi.org/10.1016/j.msea.2010.11.028.
Zhao N, Nash P, and Yang X, J Mater Process Technol 170 ( 2005) 586. https://doi.org/10.1016/j.jmatprotec.2005.06.037.
Slipenyuk A, Kuprin V, Milman Y, Spowart J E, and Miracle D B, Mater Sci Eng A 381 (2004) 165. https://doi.org/10.1016/j.msea.2004.04.040.
Song M, Trans Nonferrous Met Soc China (English Ed) 19 (2009) 1400. https://doi.org/10.1016/s1003-6326(09)60040-6.
Wang H, Zhang R, Hu X, Wang C A, and Huang Y, J Mater Process Technol 197 (2008) 43. https://doi.org/10.1016/j.jmatprotec.2007.06.002.
Shim Y, Levine L E, and Fields R J, Phys A Stat Mech Appl 348 (2005) 1–15. https://doi.org/10.1016/j.physa.2004.09.045.
Wasekar N P, Bathini L, Ramakrishna L, Rao D S, and Padmanabham G, Appl Surf Sci 527 (2020) 146896. https://doi.org/10.1016/j.apsusc.2020.146896.
Huei-Long L, Wun-Hwa L, and Lap-Ip Chan S, Wear 159 (1992) 223. https://doi.org/10.1016/0043-1648(92)90305-r.
Ganesh I and Advanced I, Wear 245 (2016) 22. https://doi.org/10.1016/s0043-1648(00)00463-4.
Yu S Y, Ishii H, Tohgo K, Cho Y T, and Diao D, Wear 213 (1997) 21. https://doi.org/10.1016/s0043-1648(97)00207-x.
Shorowordi K M, Haseeb A S M A, Celis J P, Wear 256 (2004) 1176. https://doi.org/10.1016/j.wear.2003.08.002.
Rahimian M, Parvin N, and Ehsani N, Mater Sci Eng A 527 (2010) 1031. https://doi.org/10.1016/j.msea.2009.09.034.
Sindhu D, Thakur L, and Chandna P, Silicon 11 (2019) 2033. https://doi.org/10.1007/s12633-018-0019-6.
Thankachan T, Prakash KS, Malini R, Ramu S, Sundararaj P, Rajandran S, Rammasamy D, Jothi S, Appl Surf Sci 472 (2019) 22. https://doi.org/10.1016/j.apsusc.2018.06.117.
Li N, Chen Y J, and Kong D D, Adv Manuf 7 (2019) 142. https://doi.org/10.1007/s40436-019-00251-8.
Hanif M, Ahmad W, Hussain S, Jahanzaib M, and Shah A H, Int J Adv Manuf Technol 101 (2019) 1255. https://doi.org/10.1007/s00170-018-3019-1.
Ajith Arul Daniel S, Pugazhenthi R, Kumar R, and Vijayananth S, Def Technol 15 (2019) 545. https://doi.org/10.1016/j.dt.2019.01.001.
Ju-Long D, Syst Control Lett 1 (1982) 288. https://doi.org/10.1016/s0167-6911(82)80025-x.
Wu CC and Chang N B, Eur J Oper Res 145 (2003) 175. https://doi.org/10.1016/s0377-2217(02)00174-1.
Lin J and Lin C, Int J Mach Tools Manuf 42 (2002) 237. https://doi.org/10.1016/s0890-6955(01)00107-9.
Tosun N and Pihtili H, Int J Adv Manuf Technol 46 (2010) 509. https://doi.org/10.1007/s00170-009-2118-4.
Rao R V, Savsani V J, and Vakharia D P, Comput Des 43 (2011) 303. https://doi.org/10.1016/j.cad.2010.12.015.
Dede T, KSCE J Civ Eng 18 (2014) 1759. https://doi.org/10.1007/s12205-014-0553-8.
Taylor P, Rao R V, Kalyankar V D, Mater Manuf Process 27 (2012) 37. https://doi.org/10.1080/10426914.2011.602792.
Hamzadayi A and Yelkenci S, Inf Sci 276 (2014) 204. https://doi.org/10.1016/j.ins.2014.02.056.
Roa-Sepulveda C A and Pavez-Lazo B J, Int J Electr Power Energy Syst 25 (2003) 47. https://doi.org/10.1016/s0142-0615(02)00020-0.
Sharma N, Khanna R, Singh G, and Kumar V, Part Sci Technol 6351 (2016) 1. https://doi.org/10.1080/02726351.2016.1196276.
Yan W, Lu S, and Yu D C, IEEE Trans Power Syst 19 (2004) 913.
Cai H R, Chung C Y, and Wong K P, IEEE Trans Power Syst 23 (2008) 719.
Shi Y and Eberhart R C, (1945) 1945.
Taylor P, Roy P K, and Mandal D, Electr Power Compon Syst 40 (2011) 37. https://doi.org/10.1080/15325008.2011.629337.
Roy A B P K, IET Gen Transm Distrib 6 (2012) 751. https://doi.org/10.1049/iet-gtd.2011.0593.
Dai C, Chen W, Zhu Y, and Zhang X, IEEE Trans Power Syst 24 (2009) 1218.
Sciencedirect S and All E B V, Appl Soft Comput 12 (2012) 1477. https://doi.org/10.1016/j.asoc.2012.01.006.
Mandal B and Roy P K, Int J Electr Power Energy Syst 53 (2013) 123. https://doi.org/10.1016/j.ijepes.2013.04.011.
Wang Z, Lu R, Chen D, and Zou F, IEEE Trans Power Syst 46 (2016) 1.
Raju S, Gunji R, Rao S, Gfrg G R G A, and Coconut A, J Inst Eng Ser C 100 (2019) 13. https://doi.org/10.1007/s40032-017-0388-4.
Kumar A, Rajesh M, and Srivastava K, J Inst Eng Ser C (2016). https://doi.org/10.1007/s40032-016-0284-3.
Basavarajappa S, Chandramohan G, Mukund K, Ashwin M, and Prabu M, J Mater Eng Perform 15 (2006) 668. https://doi.org/10.1361/105994906x150803.
Yigezu B S, Mahapatra M M, and Jha P K, Mater Des 50 (2013) 277. https://doi.org/10.1016/j.matdes.2013.02.042.
Ye H, J Mater Eng Perform 12 (2003) 288. https://doi.org/10.1361/105994903770343132.
Tyagi R, Wear 259 (2005) 569. https://doi.org/10.1016/j.wear.2005.01.051.
Douglas C, Montgomery: Design and Analysis of Experiments. Part 1, Wiley, Hoboken (2001).
Mishra S and Yadava V, Opt Laser Technol 48 (2013) 461. https://doi.org/10.1016/j.optlastec.2012.10.035.
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Rao, T.B., Ponugoti, G. Characterization, Prediction, and Optimization of Dry Sliding Wear Behaviour of Al6061/WC Composites. Trans Indian Inst Met 74, 159–178 (2021). https://doi.org/10.1007/s12666-020-02107-3
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DOI: https://doi.org/10.1007/s12666-020-02107-3