Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/132863
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Type: Journal article
Title: Influence of substrate bias on the scratch, wear and indentation response of TiSiN nanocomposite coatings
Author: Akhter, R.
Zhou, Z.
Xie, Z.
Munroe, P.
Citation: Surface and Coatings Technology, 2021; 425:127687-1-127687-15
Publisher: Elsevier BV
Issue Date: 2021
ISSN: 0257-8972
1879-3347
Statement of
Responsibility: 
Rumana Akhter, Zhifeng Zhou, Zonghan Xie, Paul Munroe
Abstract: TiSiN coatings were synthesised onto AISI M42 tool steel substrates via closed field unbalanced magnetron sputtering ion plating, using bias voltages of −40 and −50 V. The aim of this study is to investigate the underlying deformation mechanisms of TiSiN coatings, prepared at two different substrate bias voltages, following scratching, wear and indentation tests. A graded columnar microstructure evolved in these coatings. A hardness value of ~30.2 GPa was determined in the coating prepared at the lower bias voltage (i.e., −40 V), which was correlated to the fine nanocomposite structure and the presence of a high compressive residual stress. Of note, for the coating deposited at −40 V enhanced scratch adhesion strength, i.e., higher critical loads (L(c1) and L(c2)) against cohesive and adhesive failure were determined with the higher H/Eᵣ and H³/Eᵣ² values. The improved scratch resistance was ascribed to the hierarchical structure that hindered crack propagation in the TiSiN coatings during progressive loading. An approximately 21% decrease in wear rate was obtained at the lower bias voltage, which was attributed to the slightly lower Si concentration (~8.3 at.%) and, in turn, higher hardness. Deformation behaviour under indentation loading was dominated by shear sliding along the columnar grain boundaries.
Keywords: TiSiN coating; microstructure; mechanical response; scratch behaviour; tribological performance; indentation response
Rights: © 2021 Elsevier B.V. All rights reserved.
DOI: 10.1016/j.surfcoat.2021.127687
Grant ID: http://purl.org/au-research/grants/arc/DP200103152
Published version: http://dx.doi.org/10.1016/j.surfcoat.2021.127687
Appears in Collections:Mechanical Engineering publications

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