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Modelling, identification and application of phenomenological constitutive laws over a large strain rate and temperature range

Article dans une revue avec comité de lecture
Author
HOR, Anis
211916 Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
ccMOREL, Franck
206863 Laboratoire des Arts et Métiers ParisTech d'Angers - Procédés Matériaux Durabilité [LAMPA - PMD]
LEBRUN, Jean-Lou
211916 Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]
ccGERMAIN, Guénaël

URI
http://hdl.handle.net/10985/8619
DOI
10.1016/j.mechmat.2013.05.002
Date
2013
Journal
Mechanics of Materials

Abstract

A review of the different phenomenological thermo-viscoplastic constitutive models often applied to forging and machining processes is presented. Several of the most common models have been identified using a large experimental database (Hor et al., 2013). The latter consists of the tests were done in compression on cylindrical shaped specimens and in shear using hat-shaped specimens. The comparison between these different models is shown that the group of decoupled empirical constitutive models (e.g. the Johnson and Cook (1983) model), despite their simple identification procedures, are relatively limited, especially over a large range of strain rates and temperatures. Recent studies have led to the proposal of coupled empirical models. Three models in this class have also been studied. The Lurdos (2008) model shows the best accuracy but requires a large experimental database to identify its high number of parameters. After this comparison, a constitutive equation is proposed by modifying the TANH model (Calamaz et al., 2010). Coupling between the effects of strain rate and temperature is introduced. This model is easier to identify and does not require knowledge of the saturation stress. Compared to other models, it better reproduces the experimental results especially in the semi-hot and hot domains. In order to study real machining conditions, an orthogonal cutting tests is considered. The comparison between experimental test results and numerical simulations conducted using the previously identified constitutive models shows that the decoupled empirical models are not capable of reproducing the experimental observations. However, the coupled constitutive models, that take into account softening, improve the accuracy of these simulations.

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