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Article Dans Une Revue Materials Science and Engineering: A Année : 2017

Mechanical characterization and modelling of Inconel 718 material behavior for machining process assessment

Résumé

Nickel based alloys are extensively used in the aerospace industry due to the excellent corrosion resistance and high mechanical properties that are maintained up to elevated temperatures (600–800 °C). However, these superalloys are classified as difficult-to-cut and therefore modelling and simulation of the machining processes has become a key in the machinability assessment of nickel based alloys. The reliability of Finite Element Models (FEM) largely depends on the quality of input parameters, one of the most relevant being the constitutive material model representing work material behavior under high strain, strain rate and temperatures. In order to develop a reliable material model, the present work deals with a complete characterization of Inconel 718. Uniaxial compression tests at testing temperatures close to those found in machining (21–1050 °C) and high strain rates (10°−10 2 s −1 ) were performed on the Gleeble 3500 testing machine. Moreover, the microstructural analysis and microhardness measurements of the testing samples were performed, in order to correlate the microstructural state with the mechanical properties of the Inconel 718. Based on this experimental work, a new coupled empirical model is proposed to describe the particular behaviour of nickel based alloys at elevated temperatures and high strain rates. This material behaviour model introduces softening phenomena as well as the coupling between the temperature and the strain rate known to occur experimentally, for machining FEM simulations with Inconel 718 superalloy.
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Dates et versions

hal-02283291 , version 1 (10-09-2019)

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Ariane Iturbe, Eliane Giraud, Exabier Hormaetxe, Ainhara Garay, Guénaël Germain, et al.. Mechanical characterization and modelling of Inconel 718 material behavior for machining process assessment. Materials Science and Engineering: A, 2017, 682, pp.441-453. ⟨10.1016/j.msea.2016.11.054⟩. ⟨hal-02283291⟩
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