Analysis of dry sliding wear behavior of the nano composites using statistical methods with an emphasis on temperature effects

[Display omitted] •Experiments were designed and analysed using statistical methods.•Order of factor significance in the nanocomposites – temperature > distance > load > speed.•Correlation between the predicted and measured wear data is good with 2.5% error.•Stable tribolayer, nanoparticles...

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Veröffentlicht in:Measurement : journal of the International Measurement Confederation 2018-11, Vol.128, p.362-376
Hauptverfasser: Kumar, N.G. Siddesh, Prabhu, T. Ram, Mishra, R.K., Eswaraprasad, N., Shankar, G.S. Shiva, Basavarajappa, S.
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Sprache:eng
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Zusammenfassung:[Display omitted] •Experiments were designed and analysed using statistical methods.•Order of factor significance in the nanocomposites – temperature > distance > load > speed.•Correlation between the predicted and measured wear data is good with 2.5% error.•Stable tribolayer, nanoparticles strengthening keep the wear loss under control.•Lubricant rich tribolayer gives superior wear resistance to the hybrid composites. The objective of the present work is to understand the effects of speed, load, distance and temperature on the dry sliding wear behavior of Al/B4C, Al/B4C/MoS2 nanocomposites and the Al alloy. The nanocomposites and the alloy were fabricated by the stir casting technique and tested in a pin on disc wear testing apparatus. The parameters considered were: load – 10–50 N, speed – 0.942–4.713 m/s, sliding distance – 500–1500 m, temperature – 50–90 °C. The central composite design was used to design the experiments. The response surface methodology was used to identify the important factor affecting the wear resistance and to study the interaction effects among the factors. The temperature was found to be a primary factor affecting the wear resistance. The interactions between the load and the speed and, the load and the distance were found to be significant. Excellent correlation existed between the predicted and the experimental results within 2.5% error. The confirmatory experiments proved the adequacy of the model with a reasonable accuracy. The worn surface of the nanocomposites and the alloy were characteristised using the scanning electron microscope equipped with energy dispersive spectroscopy and X-ray diffraction techniques to understand the prevailing wear mechanisms for the selected conditions. The stable tribofilm and the nano particle strengthening reduced the intensity of abrasion, delamination, oxidation and third body wear mechanisms and keep the wear under control in the nanocomposites. Particularly, the Al/B4C/MoS2 hybrid nanocomposites showed the best wear resistance due to the formation of MoS2 rich tribofilm.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2018.06.064