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

Article dans une revue avec comité de lecture
Article dans une revue avec comité de lecture
Auteur
ITURBE, Ariane
366133 Mondragon Unibertsitatea
GIRAUD, Eliane
HORMAETXE, Exabier
366133 Mondragon Unibertsitatea
GARAY, Ainhara
366133 Mondragon Unibertsitatea
ccGERMAIN, Guénaël
211916 Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
OSTOLAZA, Koldo
ARRAZOLA, Pedro José
366133 Mondragon Unibertsitatea

URI
http://hdl.handle.net/10985/16585
DOI
10.1016/j.msea.2016.11.054
Date
2017
Journal
Materials Science and Engineering: A

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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  • Laboratoire Angevin de Mécanique, Procédés et InnovAtion (LAMPA)

Documents liés

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  • Corrigendum to “Mechanical characterization and modelling of Inconel 718 material behavior for machining process assessment” [Mater. Sci. Eng. A 682 (2017) 441–453] 
    Article dans une revue avec comité de lecture
    ITURBE, Ariane; GIRAUD, Eliane; HORMAETXE, Exabier; GARAY, Ainhara; ccGERMAIN, Guénaël; OSTOLAZA, Koldo; ARRAZOLA, Pedro José (Elsevier, 2019)
    Corrigendum to “Mechanical characterization and modelling of Inconel 718 material behavior for machining process assessment” [Mater. Sci. Eng. A 682 (2017) 441–453]
  • Mini symposium on cutting and machining: 25 years of ESAFORM activity 
    Article dans une revue avec comité de lecture
    UMBRELLO, Domenico; MATSUMURA, Takashi; ARRAZOLA, Pedro José; ccGERMAIN, Guénaël; COURBON, Cédric (Springer Science and Business Media LLC, 2022-04-07)
    This paper reports on the state of the art in the experimental and numerical investigations of cutting and machining processes. The contributions on the above-mentioned processes and published on the Proceedings of the ...
  • Measurement of plastic strain and plastic strain rate during orthogonal cutting for Ti-6Al-4V 
    Article dans une revue avec comité de lecture
    SELA, Andres; ORTIZ-DE-ZARATE, Gorka; SOLER, Daniel; ccGERMAIN, Guénaël; ARISTIMUÑO, Patxi; ARRAZOLA, Pedro José (Elsevier BV, 2021)
    Finite Element Modelling used to predict machining outcomes needs to be supplied with the appropriate material thermomechanical properties which are obtained by specific testing devices and methodologies. However, these ...
  • Inverse Identification of the Ductile Failure Law for Ti6Al4V Based on Orthogonal Cutting Experimental Outcomes 
    Article dans une revue avec comité de lecture
    SELA, Andres; SOLER, Daniel; ORTIZ-DE-ZARATE, Gorka; ccGERMAIN, Guénaël; DUCOBU, François; ARRAZOLA, Pedro José (MDPI AG, 2021)
    Despite the prevalence of machining, tools and cutting conditions are often chosen based on empirical databases, which are hard to be made, and they are only valid in the range of conditions tested to develop it. Predictive ...
  • Adiabatic self-heating determination for Ti6Al4V at different temperatures 
    Article dans une revue avec comité de lecture
    SELA, Andrés; ORTIZ-DE-ZARATE, Gorka; SOLER, Daniel; ccGERMAIN, Guénaël; ccGALLEGOS MAYORGA, Linamaria; ARRAZOLA, Pedro José (Elsevier, 2023-01-12)
    Nowadays, numerical models are one of the most widely used techniques to predict material performance subjected to different manufacturing processes. However, to obtain accurate predictions, these models require reliable ...

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