Phenomenological and crystal plasticity approaches to describe the mechanical behaviour of Ti6Al4V titanium alloy

Abstract

This paper presents a multiscale study of the quasi-static behaviour of a Ti6Al4V titanium alloy sheet. Tensile and compressive tests were carried out on specimens along several orientations from the rolling direction in order to characterise the material anisotropy. In parallel, X-Ray diffraction texture measurements were performed before and after deformation in tension. A phenomenological model (CPB06exn) and a multiscale crystal plasticity model (Multisite) were investigated to describe the mechanical behaviour of the tested material. The identification of the material parameters provides good predictions of the plastic anisotropy using both tensile and compressive data. The crystal plasticity model is in good agreement with the experiments in tension but it was observed that some improvements should be done to take into account the tension-compression asymmetry displayed by the material. Moreover both models lead to a good prediction of the Lankford's coefficients and yield strength.

On the synergy between physical and virtual sheet metal testing: calibration of anisotropic yield functions using a microstructure-based plasticity model

“…The FC Taylor model was used to generate the virtual data and the authors concluded that a more advanced CP model is required to arrive at a sufficiently accurate calibration procedure. Hammami et al [27] showed that the Multisite model provides an accurate anisotropy prediction for Ti6Al4V under tensile stress states. The authors concluded that the Multisite model can be used to limit the experimental effort associated with the calibration of advanced anisotropic yield functions such as CPB06.…”

Enhancement of ductility, weakening of anisotropy behavior and local recrystallization in cold-rolled Ti-6Al-4V alloy strips by high-density electropulsing treatment

“…A phenomenological model and a multiscale crystal plasticity model were put forward in theory by Hammami et al. [7] to describe the mechanical behavior anisotropy of the tensile and compressive tested material. Other researchers combined theoretical methods and experimental methods in studying the anisotropy of the materials processing and properties like Jurendic et al [8] who developed a numerical simulation method to aid forming tool steel.…”

An Efficient Multi-Scale Simulation Architecture for the Prediction of Performance Metrics of Parts Fabricated Using Additive Manufacturing

“…[22][23][24][25][26][27][28][29][30][31] Similarly, the in-house thermo-mechanical constitutive relationships for performance metric modeling are addressed in the literature. [17,20,21,[32][33][34][35][36] The computational complexity for currently available finite element algorithms to simulate a full-sized part which fills an SLM machine has been demonstrated to be intractable, [37] even for the most powerful supercomputers. The present simulation environment includes an attempt to solve the problem with intelligent solver algorithms and inclusion of problem specific asymptotics (Figures 7 and 8).…”