4.7 Article Proceedings Paper

Prediction of the properties of PVD/CVD coatings with the use of FEM analysis

期刊

APPLIED SURFACE SCIENCE
卷 388, 期 -, 页码 281-287

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.apsusc.2016.01.090

关键词

Magnesium alloys; Residual stress; Computer simulation; Finite Element Method; PVD; CVD

资金

  1. statutory grant from Faculty of Mechanical Engineering, Silesian University of Technology

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The aim of this paper is to present the results of the prediction of the properties of PVD/CVD coatings with the use of finite element method (FEM) analysis. The possibility of employing the FEM in the evaluation of stress distribution in multilayer Ti/Ti(C,N)/CrN, Ti/Ti(C,N)/(Ti,Al)N, Ti/(Ti,Si)N/(Ti,Si)N, and Ti/DLC/DLC coatings by taking into account their deposition conditions on magnesium alloys has been discussed in the paper. The difference in internal stresses in the zone between the coating and the substrate is caused by, first of all, the difference between the mechanical and thermal properties of the substrate and the coating, and also by the structural changes that occur in these materials during the fabrication process, especially during the cooling process following PVD and CVD treatment. The experimental values of stresses were determined based on X-ray diffraction patterns that correspond to the modelled values, which in turn can be used to confirm the correctness of the accepted mathematical model for testing the problem. An FEM model was established for the purpose of building a computer simulation of the internal stresses in the coatings. The accuracy of the FEM model was verified by comparing the results of the computer simulation of the stresses with experimental results. A computer simulation of the stresses was carried out in the ANSYS environment using the FEM method. Structure observations, chemical composition measurements, and mechanical property characterisations of the investigated materials has been carried out to give a background for the discussion of the results that were recorded during the modelling process. (C) 2016 Elsevier B.V. All rights reserved.

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