TY - JOUR
T1 - A comprehensive experimental study and numerical analysis of coefficient of friction of nanocomposite coatings
AU - Nazir, Mian Hammad
AU - Khan, Zulfiqar Ahmad
AU - Hussain, Muhammad Majid
AU - Rahil, Abdullah
AU - Zaidi, Syed Zohaib Javaid
N1 - Publisher Copyright:
© 2023 The Authors
PY - 2023/6/1
Y1 - 2023/6/1
N2 - A comprehensive study of nanocomposite coating friction behaviour in oscillating-reciprocating simulations with steel balls is presented. Graphene/Nickel (Ni/GPL) and pure Nickel (Ni) coatings have been studied. SEM, EDS, and AFM analyses of coatings pre-test were performed to characterise the coatings in addition to tests to compare the coefficients of friction ‘COF’ between pure Ni and Ni/GPL. Based on microscopic characterisation of wear tracks, wear on counter carbon steel balls, and “U-shaped” wear depth profiles of wear tracks, it was determined that Ni had a higher coefficient of friction than Ni/GPL. A novel 2-D predictive numerical model was developed to examine the wear of nanocomposite coatings that integrates the microstructural and lubrication concepts. Predictions from newly developed model and the experimental results are in close agreement. While significant research has been conducted to understand the frictional performance of nanocomposite coatings, a novel and reliable predictive model is still needed for analyzing nanocomposite coatings COF in the context of design. The research will impact the automotive, aerospace, renewable energy, high-end manufacturing, and renewable energy sectors.
AB - A comprehensive study of nanocomposite coating friction behaviour in oscillating-reciprocating simulations with steel balls is presented. Graphene/Nickel (Ni/GPL) and pure Nickel (Ni) coatings have been studied. SEM, EDS, and AFM analyses of coatings pre-test were performed to characterise the coatings in addition to tests to compare the coefficients of friction ‘COF’ between pure Ni and Ni/GPL. Based on microscopic characterisation of wear tracks, wear on counter carbon steel balls, and “U-shaped” wear depth profiles of wear tracks, it was determined that Ni had a higher coefficient of friction than Ni/GPL. A novel 2-D predictive numerical model was developed to examine the wear of nanocomposite coatings that integrates the microstructural and lubrication concepts. Predictions from newly developed model and the experimental results are in close agreement. While significant research has been conducted to understand the frictional performance of nanocomposite coatings, a novel and reliable predictive model is still needed for analyzing nanocomposite coatings COF in the context of design. The research will impact the automotive, aerospace, renewable energy, high-end manufacturing, and renewable energy sectors.
KW - Coating
KW - Coefficient of friction
KW - Nickel
KW - Nickel graphene
KW - Predictive model
U2 - 10.1016/j.matchemphys.2023.127550
DO - 10.1016/j.matchemphys.2023.127550
M3 - Article
AN - SCOPUS:85151433725
SN - 0254-0584
VL - 301
JO - Materials Chemistry and Physics
JF - Materials Chemistry and Physics
M1 - 127550
ER -
