The effect of chemical composition on the structure , chemistry and mechanical properties of magnetron sputtered W-B-C coatings : Modeling and experiments

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Authors

  • S. Mizaei
  • M. Alishahi
  • P. Souček
  • J. Ženíšek
  • Nikola Koutná
  • V. Buršíková
  • M. Stupavská
  • L. Zábranský
  • F. Burmeister
  • B. Blug
  • Zs. Czigány
  • K. Balázsi
  • R. Mikšová
  • P. Vašina

External Organisational units

  • Masaryk University
  • Institute of Materials Science and Technology
  • Fraunhofer Institute for Mechanics of Materials IWM, Freiburg
  • Hungarian Academy of Sciences
  • Institute of Plasma Physics, Academy of Sciences of the Czech Republic

Abstract

Ternary W-B-C coatings were non-reactively deposited in order to enhance the envelope of the mechanical properties of the binary transition metal borides and carbides with a focus on fracture resistance. The study investigated the influence of the atomic composition on the chemistry, microstructure, and mechanical properties of W-B-C coatings. The content of tungsten was found to be a key parameter influencing the energy flux delivered to the growing coating and therefore influencing the structure of the coating. Increased tungsten content led to a denser structure of the coating, but also to the amorphization of the microstructure. An increase in the W−[sbnd]B bond fraction was observed as the tungsten content increased and correspondingly, the content of carbon decreased. Increasing the ratio of stronger boride bonds associated with stiff materials with high Young's modulus such as WB resulted in the enhanced mechanical properties of the coatings. A theoretical method for the comparison of experimentally derived bonding with ab initio simulations of randomly distributed amorphous materials was proposed. The method was applicable for amorphous coatings while the coatings with WC 1-x nanocrystals exhibited the greatest discrepancies between the calculated and the experimentally derived bond fractions. This indicates that our proposed model is an appropriate tool for prediction of the bonding state of amorphous coatings.

Details

Original languageEnglish
Article number125274
Number of pages12
JournalSurface & coatings technology
Volume383.2020
Issue number15 February
Early online date17 Dec 2019
DOIs
Publication statusPublished - 15 Feb 2020