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Content available remote FEM modelling of internal stresses in PVD coated FGM
EN
Purpose: The general topic of this paper is problem of determining the internal stresses of composite gradient tool materials with the use of finite element method (FEM). The chemical composition of the investigated materials’ core is corresponding to the M2 high-speed steel and was reinforced with the WC and TiC type hard carbide phases with the growing portions of these phases in the outward direction from the core to the surface. Such composed material was sintered, heat treated and deposited appropriately with (Ti,Al)N or Ti(C,N) gradient coatings. Design/methodology/approach: Modelling of stresses was performed with the help of finite element method in PATRAN environment, and the experimental values of stresses were determined basing on the X-ray diffraction patterns. The computer simulation results were compared with the experimental results. Findings: The presented model meets the initial criteria, which gives ground to the assumption about its usability for determining the stresses in coatings, employing the finite element method using the PATRAN software. The computer simulation results correlate with the experimental results. Research limitations/implications: It was confirmed that using of finite element method in stresses modelling occurring in gradient- structured materials can be a way for reducing the investigation costs. In order to reach this purpose, it was used in the paper a simplified model of gradient- structured materials with division on zones with established physical and mechanical properties. Results reached in this way are satisfying and in slight degree differ from results reached by experimental method. However for achieving better calculation accuracy in further researches it should be developed given model which was presented in this paper. Originality/value: Nowadays the computer simulation is very popular and it is based on the finite element method, which allows to better understand the interdependence between parameters of process and choosing optimal solution. The possibility of application faster and faster calculation machines and coming into being many software make possible the creation of more precise models and more adequate ones to reality.
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