Abstract
The dry sliding wear behaviour of SiC reinforced LM13 aluminium alloy was investigated by varying the process characteristics implementing the Taguchi’s Design of Experiment Methodology. Reinforcement content (0, 10, and 15 wt.% of SiC), sliding speed (2, 4, 6 m/s), applied load (10 N, 30 N, 50 N) and sliding distance (150, 300, 450 m) were selected as the independent process variables, and wear rate, frictional heating, and coefficient of friction were considered as the response characteristics followed by Taguchi’s L27 orthogonal array. Pin-on-disc wear testing configuration was employed to evaluate the wear performance. ANOVA has described each process variable’s percentage contribution on the performance characteristics and their significance to the study. The optimum processing condition obtained for optimal wear rates are: reinforcement of 15 wt.%, 10 N load @ 2 m/s and sliding distance of 300 m. Similarly, the optimum level of processing variables for frictional heating: Reinforcement of 0 wt.%, 10 N load @2 m/s and 300 m sliding distance and for coefficient of friction are reinforcement of 0 wt.%, 10 N load @ 2 m/s, and 300 m sliding distance. An overall optimal processing condition has been identified for all three performance characteristics by implementing Grey Relation Analysis (GRA). The confirmation experiments prove that the minimal deviation (2.8%) occurred while comparing the performance measures obtained by optimal parameter settings with the experimental data. The observation outcomes indicated that the most influential factor was applied load, followed by reinforcement, sliding speed, and sliding distance.
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The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
Rao R, Das S (2011) Effect of SiC content and sliding speed on the wear behaviour of aluminium matrix composites. Mater Des 32(2):1066–1071
Khan M, Dixit G (2017) Erosive wear response of SiCp reinforced aluminium based metal matrix composite: effects of test environments. J Mech Eng Sci 14:2401–2414
Khan MM, Dixit G (2017) Effects of test parameters and SiCp reinforcement on the slurry erosive wear response of Al-Si alloy. Mat Today: Proceed 4(2):3141–3149
Khan MM, Dixit G (2017) Comparative study on erosive wear response of SiC reinforced and fly ash reinforced aluminium based metal matrix composite. Mat Today: Proceed 4(9):10093–10098
Khan MM, Dey A (2021) Selection of optimal processing condition during abrasive Wear of in-situ ZA-37/TiCp composites using MCDM technique. Ceram Int
Khan MM, Dixit G (2018) Abrasive Wear characteristics of silicon carbide particle reinforced zinc based composite. Silicon 10(4):1315–1327
Findik F (2014) Latest progress on tribological properties of industrial materials. Mater Des 57:218–244
Soy U, Demir A, Findik F (2011) Friction and wear behaviors of Al-SiC-B4C composites produced by pressure infiltration method. Industrial LubricatTribol 63:387–393
Altinkok N, Demir A, Ozsert I, Findik F (2007) Compressive behavior of Al2O3—SiC ceramic composite foams fabricated by decomposition of aluminum sulfate aqueous solution. J Compos Mater 41(11):1361–1373
Ozsarac U, Findik F, Durman M (2007) The wear behaviour investigation of sliding bearings with a designed testing machine. Mater Des 28(1):345–350
Bains, P.S., et al., Investigation of surface properties of Al–SiC composites in hybrid electrical discharge machining, in Futuristic Composites. 2018, Springer. p. 181–196
Bains PS, Payal H, Sidhu SS Analysis of coefficient of thermal expansion and thermal conductivity of bi-modal SiC/A356 composites fabricated via powder metallurgy route. In ASME 2017 Heat Transfer Summer Conference. 2017. Am Soc Mech EngDigit Collect
Lim C, Lim S, Gupta M (2003) Wear behaviour of SiCp-reinforced magnesium matrix composites. Wear 255(1–6):629–637
Qin Q, Zhao Y, Zhou W (2008) Dry sliding wear behavior of Mg2Si/Al composites against automobile friction material. Wear 264(7–8):654–661
Ramesh C et al (2010) Friction and wear behavior of Ni–P coated Si3N4 reinforced Al6061 composites. Tribol Int 43(3):623–634
Uyyuru R, Surappa M, Brusethaug S (2007) Tribological behavior of Al–Si–SiCp composites/automobile brake pad system under dry sliding conditions. Tribol Int 40(2):365–373
Rosenberger MR, Schvezov C, Forlerer E (2005) Wear of different aluminum matrix composites under conditions that generate a mechanically mixed layer. Wear 259(1–6):590–601
Tang F, Wu X, Ge S, Ye J, Zhu H, Hagiwara M, Schoenung JM (2008) Dry sliding friction and wear properties of B4C particulate-reinforced Al-5083 matrix composites. Wear 264(7–8):555–561
Surappa M (2008) Dry sliding wear of fly ash particle reinforced A356 Al composites. Wear 265(3–4):349–360
Dixit G, Khan MM (2014) Sliding Wear Response of an Aluminium Metal Matrix Composite: Effect of Solid Lubricant Particle Size. Jordan J Mech Industrial Eng 8(6)
Zhang Z, Zhang L, Mai Y-W (1997) Modeling steady wear of steel/Al2O3 Al particle reinforced composite system. Wear 211(2):147–150
Dey A, Bandi VR, Pandey K (2018) Wire electrical discharge machining characteristics of AA6061/cenosphere aluminium matrix composites using RSM. Mat Today: Proceed 5(1):1278–1285
Dey A, Debnath M, Pandey KM (2017) Analysis of effect of machining parameters during electrical discharge machining using Taguchi-based multi-objective PSO. Int J Comput Intell Appl 16(02):1750010
Dey A, Pandey KM (2018) Wire electrical discharge machining characteristics of AA6061/cenosphere as-cast aluminum matrix composites. Mater Manuf Process 33(12):1346–1353
Khan MM, Hajam MI, Mir ZA (2021) Optimizing the effect of solid lubricants on the sliding Wear behavior of SiC p reinforced cast aluminum alloy. J Bio- Tribo-Corrosion 7(1):1–17
Fisher, R. (1925) Statistical Methods for Research Workers Oliver and Boyd, London. Reprinted in Statistical Methods, Experimental Design and Scientific Inference., OUP, Oxford
Khan MM, Dixit G (2020) Evaluation of microstructure, mechanical, thermal and erosive Wear behavior of aluminum-based composites. Silicon 12(1):59–70
Siddesh Kumar NG, Ravindranath V, Shiva Shankar GS (2014) Dry sliding wear behavior of hybrid metal matrix composites. Int J Res Eng Technol 3(3):554–558
Zhang J, Alpas A (1997) Transition between mild and severe wear in aluminium alloys. Acta Mater 45(2):513–528
Zhang L, He XB, Qu XH, Duan BH, Lu X, Qin ML (2008) Dry sliding wear properties of high volume fraction SiCp/cu composites produced by pressureless infiltration. Wear 265(11–12):1848–1856
Radhika N, Raghu R (2017). Investigation on Mechanical Properties and Analysis of Dry Sliding Wear Behavior of Al LM13/AlN Metal Matrix Composite Based on Taguchi's Technique, J Tribol 139(4)
Gul F, Acilar M (2004) Effect of the reinforcement volume fraction on the dry sliding wear behaviour of Al–10Si/SiCp composites produced by vacuum infiltration technique. Compos Sci Technol 64(13–14):1959–1970
Tosun N (2006) Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. Int J Adv Manuf Technol 28(5–6):450–455
Singh PN, Raghukandan K, Pai B (2004) Optimization by Grey relational analysis of EDM parameters on machining Al–10% SiCP composites. J Mater Process Technol 155:1658–1661
Li C-H, Tsai M-J (2009) Multi-objective optimization of laser cutting for flash memory modules with special shapes using grey relational analysis. Opt Laser Technol 41(5):634–642
Fung C-P (2003) Manufacturing process optimization for wear property of fiber-reinforced polybutylene terephthalate composites with grey relational analysis. Wear 254(3–4):298–306
Ho C-Y, Lin Z-C (2003) Analysis and application of grey relation and ANOVA in chemical–mechanical polishing process parameters. Int J Adv Manuf Technol 21(1):10–14
Lo S-P (2002) The application of an ANFIS and grey system method in turning tool-failure detection. Int J Adv Manuf Technol 19(8):564–572
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The authors would like to thank Dr. Noor Zaman Khan of the Mechanical Engineering Department, National Institute of Technology, for his support in the research work.
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Dr. Mohammad Mohsin Khan: Conception of design of study; acquisition of data, drafting the manuscript, critical revision of manuscript.
Dr. Abhijit Dey: Analysis & Interpretation of data.
Mr. Mohammad Irfan Hajam: Analysis &Interpretation of data; drafting the manuscript.
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Khan, M.M., Dey, A. & Hajam, M.I. Experimental Investigation and Optimization of Dry Sliding Wear Test Parameters of Aluminum Based Composites. Silicon 14, 4009–4026 (2022). https://doi.org/10.1007/s12633-021-01158-5
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DOI: https://doi.org/10.1007/s12633-021-01158-5