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Transactions of the Indian Institute of Metals

, Volume 72, Issue 12, pp 3117–3128 | Cite as

Investigations on the Tribological Properties of Heat-Treated Copper Composite Using Hybrid Quadratic–Radial Basis Function Model

  • R. Anil Kumar
  • K. Pavan Sai
  • R. Vaira Vignesh
  • N. RadhikaEmail author
Technical Paper
  • 34 Downloads

Abstract

This research investigates the effect of heat treatment on mechanical and tribological properties of Cu–11Ni–4Si—10 wt% B4C functionally gradient composite, which is fabricated by the centrifugal casting method. The cast specimens are solutionized at 700 °C for 90 min, followed by air quenching/water quenching. The specimens are artificially aged at different temperatures (500 °C, 550 °C, and 600 °C) and time (1 h, 2 h, and 3 h). The optimum heat treatment condition is established based on the microstructure, microhardness, and tensile strength. The specimens that are heat-treated at optimum condition are subjected to tribological tests by varying the load between 15.8 and 44.44 N and sliding velocity between 0.8 to 2.2 m/s for a sliding distance of 1000 m and 1500 m. The surface morphology and topography of the worn surface are analyzed using FESEM and AFM, respectively. The influence of load and sliding velocity on the wear rate of the specimens is explored using the mathematical models, which are developed using a hybrid polynomial–radial basis function. The results indicate that the load has a direct influence on the wear rate, while the wear rate follows crest parabolic pattern with an increase in the sliding velocity.

Keywords

Cu–Ni–Si alloy Functionally gradient composite Tribology Radial basis function AFM 

Notes

References

  1. 1.
    Davis J R, Copper and Copper Alloys. ASM Spec Handb Copp Copp Alloy (2001) p 457.  https://doi.org/10.1361/autb2001p457.
  2. 2.
    Singh G, Vedrtnam A, and Gupta S. Int J Mech Prod Eng Res Dev7 (2017) 307.Google Scholar
  3. 3.
    Xiao Y, Zhang Z, Yao P, Fan K, Zhou H, Gong T, Zhao L, and Deng M, Tribol Int119 (2018) 585.  https://doi.org/10.1016/j.triboint.2017.11.038.CrossRefGoogle Scholar
  4. 4.
    Kwabena Gyimah G, Huang P, and Chen D, J Tribol136 (2014) 41601.  https://doi.org/10.1115/1.4027477.CrossRefGoogle Scholar
  5. 5.
    Alaneme K K, and Odoni B U, Eng Sci Technol Int J19 (2016) 1593.  https://doi.org/10.1016/j.jestch.2016.04.006.CrossRefGoogle Scholar
  6. 6.
    Sathiskumar R, Murugan N, Dinaharan I, and Vijay S J, Mater Des55 (2014) 224.  https://doi.org/10.1016/j.matdes.2013.09.053.CrossRefGoogle Scholar
  7. 7.
    Sanesh K, Sunder S S, and Radhika N, Int J Miner Metall Mater24 (2017) 1052.  https://doi.org/10.1007/s12613-017-1495-1.CrossRefGoogle Scholar
  8. 8.
    Singh M K, and Gautam R K, Trans Indian Inst Met70 (2017) 2415.  https://doi.org/10.1007/s12666-017-1103-0.CrossRefGoogle Scholar
  9. 9.
    Kieback B, Neubrand A, and Riedel H, Mater Sci Eng A362 (2003) 81.  https://doi.org/10.1016/s0921-5093(03)00578-1.CrossRefGoogle Scholar
  10. 10.
    Miyamoto Y, Kaysser W A, Rabin B H, Kawasaki A, and Ford R G. Functionally Graded Materials: Design, Processing and Application (1999).  https://doi.org/10.1201/9781420092578.
  11. 11.
    El-Galy I M, Ahmed M H, and Bassiouny B I, Alex Eng J56 (2017) 371.  https://doi.org/10.1016/j.aej.2017.03.009.CrossRefGoogle Scholar
  12. 12.
    Madec C, Le Gallet S, Salesse B, Geoffroy N, and Bernard F, J Mater Process Technol254 (2018) 277.  https://doi.org/10.1016/j.jmatprotec.2017.11.004.CrossRefGoogle Scholar
  13. 13.
    Sun J, Zhao J, Chen M, Zhou Y, Ni X, Li Z, and Gong F, Mater Des134 (2017) 171.  https://doi.org/10.1016/j.matdes.2017.08.041.CrossRefGoogle Scholar
  14. 14.
    Sam M, and Radhika N. J Tribol140 (2018) 1.  https://doi.org/10.1115/1.4037767.CrossRefGoogle Scholar
  15. 15.
    Gholami M, Vesely J, Altenberger I, Kuhn H-A, Janecek M, Wollmann M, and Wagner L, J Alloys Compd696 (2017) 201.  https://doi.org/10.1016/j.jallcom.2016.11.233.CrossRefGoogle Scholar
  16. 16.
    Semboshi S, Sato S, Iwase A, and Takasugi T, Mater Charact115 (2016) 39.  https://doi.org/10.1016/j.matchar.2016.03.017.CrossRefGoogle Scholar
  17. 17.
    Vignesh V, and Padmanaban R, Trans Indian Inst Met70 (2017) 2572.  https://doi.org/10.1007/s12666-017-1110-1.CrossRefGoogle Scholar
  18. 18.
    Vignesh R V, Padmanaban R, and Datta M, Tribol Mater Surf Interfaces12 (2018) 157.  https://doi.org/10.1080/17515831.2018.1483295.CrossRefGoogle Scholar

Copyright information

© The Indian Institute of Metals - IIM 2019

Authors and Affiliations

  1. 1.Department of Mechanical Engineering, Amrita School of EngineeringAmrita Vishwa VidyapeethamCoimbatoreIndia

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