Experimental analysis and modelling for reciprocating wear behaviour of nanocomposite coatings

Authors: Nazir, M.H., Khan, Z., Saeed, A., Bakolas, V., Braun, W. and Bajwa, R.

http://eprints.bournemouth.ac.uk/31289/

https://www.sciencedirect.com/science/article/pii/S0043164818305623

Journal: Wear

Publisher: Elsevier

ISSN: 0043-1648

DOI: 10.1016/j.wear.2018.09.011

This paper presents the study of wear responses of nanocomposite coatings with a steel ball under oscillatingreciprocating state. Nanocomposite coatings for this study include: Nickel-Alumina (Ni/Al2O3), Nickel-Silicon Carbide (Ni/SiC), Nickel-Zirconia (Ni/ZrO2) and Ni/Graphene. Ni/ZrO2 exhibited maximum wear rate followed by Ni/SiC, Ni/Al2O3 and Ni/Graphene respectively which was also assured by Scanning Electron Microscopy (SEM) micrographs, grain sizes, hardness, porosity, surface stresses, frictional coefficients behaviours and “Ushaped" wear depth profiles. The “U-shaped” profiles were utilised to calculate the energy distribution (Archard factor density) along the interface. A novel mechano-wear model incorporating the energy distribution equations with the mechanics equations was developed for analysing the effects of intrinsic mechanical properties (such as grain sizes, hardness, porosity, surface stresses of the nanocomposite coatings) on the wear response. The predictions showed close agreement with the experimental results. In conclusion Ni/Graphene exhibited better anti-wear properties compared to other nanocomposite coatings. The high anti-wear behaviour of Ni/Graphene composite is due to enhanced strengthening effects in the presence of graphene. The importance of this work is evident from various industrial applications which require reliable modelling techniques to predict coatings failures due to wear. This work will bring significant impact to precision manufacturing, wind turbine industries, automotive, locomotive and aerospace in overcoming critical wear failures.

This data was imported from Scopus:

Authors: Nazir, M.H., Khan, Z.A., Saeed, A., Bakolas, V., Braun, W. and Bajwa, R.

http://eprints.bournemouth.ac.uk/31289/

Journal: Wear

Volume: 416-417

Pages: 89-102

ISSN: 0043-1648

DOI: 10.1016/j.wear.2018.09.011

© 2018 Elsevier B.V. This paper presents the study of wear responses of nanocomposite coatings with a steel ball under oscillating-reciprocating state. Nanocomposite coatings for this study include: Nickel-Alumina (Ni/Al 2 O 3 ), Nickel-Silicon Carbide (Ni/SiC), Nickel-Zirconia (Ni/ZrO 2 ) and Ni/Graphene. Ni/ZrO 2 exhibited maximum wear rate followed by Ni/SiC, Ni/Al 2 O 3 and Ni/Graphene respectively which was also assured by Scanning Electron Microscopy (SEM) micrographs, grain sizes, hardness, porosity, surface stresses, frictional coefficients behaviours and “U-shaped” wear depth profiles. The “U-shaped” profiles were utilised to calculate the energy distribution (Archard factor density) along the interface. A novel mechano-wear model incorporating the energy distribution equations with the mechanics equations was developed for analysing the effects of intrinsic mechanical properties (such as grain sizes, hardness, porosity, surface stresses of the nanocomposite coatings) on the wear response. The predictions showed close agreement with the experimental results. In conclusion Ni/Graphene exhibited better anti-wear properties compared to other nanocomposite coatings. The high anti-wear behaviour of Ni/Graphene composite is due to enhanced strengthening effects in the presence of graphene. The importance of this work is evident from various industrial applications which require reliable modelling techniques to predict coatings failures due to wear. This work will bring significant impact to precision manufacturing, wind turbine industries, automotive, locomotive and aerospace in overcoming critical wear failures.

This data was imported from Web of Science (Lite):

Authors: Nazir, M.H., Khan, Z.A., Saeed, A., Bakolas, V., Braun, W. and Bajwa, R.

http://eprints.bournemouth.ac.uk/31289/

Journal: WEAR

Volume: 416

Pages: 89-102

eISSN: 1873-2577

ISSN: 0043-1648

DOI: 10.1016/j.wear.2018.09.011

The data on this page was last updated at 04:57 on May 23, 2019.