Multi-level modelling of mechanical anisotropy of commercial pure aluminium plate: Crystal plasticity models, advanced yield functions and parameter identification

Zhang, Kai; Holmedal, Bjørn; Hopperstad, Odd Sture; Dumoulin, Stéphane; Gawąd, Jerzy; Bael, Albert Van; Houtte, Paul Van

doi:10.1016/j.ijplas.2014.02.003

Cited by 142 publications

(64 citation statements)

References 68 publications

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“…The evolution of deformation textures in metals has a large impact on the properties of the metal, in particular mechanical anisotropy [1][2][3]. Thus, texture optimization is an important industrial field, and even small texture variations between batches may have large consequences.…”

Section: Introductionmentioning

confidence: 99%

Measured resolved shear stresses and Bishop-Hill stress states in individual grains of austenitic stainless steel

et al. 2017

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Section: Introductionmentioning

confidence: 99%

Measured resolved shear stresses and Bishop-Hill stress states in individual grains of austenitic stainless steel

et al. 2017

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“…100 700 175 1.4 0.001 50. the mesh and the boundary conditions remain unchanged. This methodology proved relevant for quasi equiaxed grains (Zhang et al (2015)) as is the case in the present work.…”

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confidence: 59%

Crystal plasticity and phenomenological approaches for the simulation of deformation behavior in thin copper alloy sheets

Adzima

Balan

Manach

et al. 2017

International Journal of Plasticity

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International audienceIn the expanding context of device miniaturization, forming processes of ultra thin sheetmetals are gaining importance. Numerical simulation of these processes requires accurate material modeling. In this study, both the phenomenological modeling approach and the crystal plasticity finite element method (CPFEM) are considered. Theoretical definitions of both models, numerical implementation as well as their parameter identification procedures are outlined. Subsequently they are compared on a one to one basis, mainly with regards to their ability to predict mechanical responses for a variety of strain loading paths

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“…Improved computing performance over the past decade has enabled the development of statistically meaningful simulations of the deformation of grain structures in metals using CPFE models. These models have been used extensively in published research studies for the prediction of deformation texture and mechanical response of metals at both room (Alharbi and Kalidindi, 2015;Bachu and Kalidindi, 1998;Erinosho et al, 2013;Gerard et al, 2013;Kalidindi et al, 2009;Khan et al, 2015;Sabnis et al, 2013;Sarma and Dawson, 1996;Tamini et al, 2014;Van Houtte et al, 2002;Zhang et al, 2015b) and elevated temperatures (Li et al, 2004;Quey et al, 2012) with good agreement with experimental measurements. They have also been used to simulate the deformation of grain structures at room temperature for polycrystals (Heripre, 2007;Kanjarla et al, 2010;Musienko et al, 2007;Pokharel et al, 2014;Raabe et al, 2001;Rossiter et al, 2010;Rotters et al, 2010;St-Pierre et al, 2008) but comparison with intra-granular strain measurements usually only shows qualitative agreement with clear local discrepancies between modelling and experimental results.…”

Section: Introductionmentioning

confidence: 87%

Assessment of crystal plasticity finite element simulations of the hot deformation of metals from local strain and orientation measurements

Pinna

Lan

Kiu

et al. 2015

International Journal of Plasticity

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a b s t r a c tSimulations of the deformation of microstructures at high homologous temperatures have been carried out using a Crystal Plasticity Finite Element (CPFE) model to predict texture and grain structure deformation in Face-Centred-Cubic (FCC) metals deformed under conditions representative of hot forming operations. Results show that the model can quantitatively predict the location and intensity of the main deformation texture components of a AA5052 aluminium alloy deformed at 300 C under Plane Strain Compression (PSC). Simulations also reasonably predict the range of strain values measured using microgrids in the microstructure of a Fe-30wt%Ni alloy deformed at 1000 C using a new experimental procedure. However, the model fails to reproduce accurately intra-granular strain distribution patterns. Results at room temperature, after a tensile test carried out inside a Scanning Electron Microscope (SEM) on the same model alloy, show a much closer match between simulation and experimental results. Despite discrepancies for some local deformation features, the model predicts the formation of intense deformation bands running at 45 with respect to the tensile axis and located along the same grain boundaries as in the experiment. Results, therefore, highlight the limitations of deterministic CPFE simulations for situations where the grain size to sample thickness ratio is small and for which the sub-surface grain geometry strongly affects surface strains. They also show that reliable predictions of the statistical response of a polycrystalline aggregate can be obtained for the hot deformation of metals which controls microstructure evolution during the processing of metals.

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Multi-level modelling of mechanical anisotropy of commercial pure aluminium plate: Crystal plasticity models, advanced yield functions and parameter identification

Cited by 142 publications

References 68 publications

Measured resolved shear stresses and Bishop-Hill stress states in individual grains of austenitic stainless steel

Measured resolved shear stresses and Bishop-Hill stress states in individual grains of austenitic stainless steel

Crystal plasticity and phenomenological approaches for the simulation of deformation behavior in thin copper alloy sheets

Assessment of crystal plasticity finite element simulations of the hot deformation of metals from local strain and orientation measurements

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