Texture–Property Relationships in Aluminum Alloys: Simulations and Experiments

2019 ◽  
Author(s):  
Dierk Raabe
Keyword(s):  
Plastic Deformation ◽  
Finite Element ◽  
Aluminum Alloys ◽  
Cellular Automata ◽  
Texture Evolution ◽  
Plastic Anisotropy ◽  
Constitutive Laws ◽  
Texture Property ◽  
Forming Simulations

Aluminum alloys provide a huge and increasing application spectrum for formed and cast products. This article texture and anisotropy of aluminum alloys. Topics covered include: experimental determination of surface strains, nanotextures and microtextures, constitutive laws for crystal plasticity finite element simulations and cellular automata for recrystallization, microscopic aspects of texture evolution during plastic deformation and recrystallization, relationship between texture, microstructure and surface properties, integration anisotropy into metal-forming simulations, and crystallographic approximation elastic-plastic anisotropy.

Simulation of Earing during Deep Drawing of bcc Steel by Use of a Texture Component Crystal Plasticity Finite Element Method

2005 ◽  
Vol 495-497 ◽  
pp. 1529-1534 ◽  
Author(s):  
Dierk Raabe ◽  
Franz Roters ◽  
Yan Wen Wang
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Crystal Plasticity ◽  
Texture Component ◽  
Numerical Study ◽  
Texture Evolution ◽  
Plastic Anisotropy ◽  
Crystal Plasticity Finite Element ◽  
Cup Drawing ◽  
Element Method

We present a numerical study on the influence of crystallographic texture on the earing behavior of a low carbon steel during cup drawing. The simulations are conducted by using the texture component crystal plasticity finite element method which accounts for the full elastic-plastic anisotropy of the material and for the explicit incorporation of texture including texture update. Several important texture components that typically occur in commercial steel sheets were selected for the study. By assigning different spherical scatter widths to them the resulting ear profiles were calculated under consideration of texture evolution. The study reveals that 8, 6, or 4 ears can evolve during cup drawing depending on the starting texture. An increasing number of ears reduces the absolute ear height. The effect of the orientation scatter width (texture sharpness) on the sharpness of the ear profiles was also studied. It was observed that an increase in the orientation scatter of certain texture components entails a drop in ear sharpness while for others the effect is opposite.

Interactive Texture- and Finite-Element Simulation Including the Bauschinger Effect

2005 ◽  
Vol 495-497 ◽  
pp. 1523-1528 ◽  
Author(s):  
Tom Walde ◽  
Hermann Riedel
Keyword(s):  
Finite Element ◽  
Bauschinger Effect ◽  
Texture Evolution ◽  
Plastic Anisotropy ◽  
Rolling Process ◽  
Finite Element Code ◽  
Combined Model ◽  
Hardening Model ◽  
Texture Model ◽  
Element Simulation

In this paper we describe a rolling simulation considering the main sources of plastic anisotropy, namely the Bauschinger effect and crystallographic texture. For this purpose we coupled the VPSC-model of Lebensohn and Tomé [1] with the hardening model of Peeters et al. [2]. The combined model is implemented in the Finite-Element code ABAQUS/Explicit®. With the combination of finite-element method, VPSC-texture model and the hardening model a rolling process is simulated and the nfluence of the Bauschinger effect on the texture evolution is studied.

The Influence of Prior Plastic Loading on the Accumulation of Creep Strain in 316H Stainless Steel

2019 ◽  
Author(s):  
Megan Taylor ◽  
Abdullah al Mamun ◽  
David Knowles
Keyword(s):  
Plastic Deformation ◽  
Finite Element ◽  
Stainless Steel ◽  
Creep Strain ◽  
Thermal Stresses ◽  
Creep Behaviour ◽  
Plastic Anisotropy ◽  
Structural Components ◽  
Crystal Plasticity Finite Element ◽  
Good Agreement

Abstract Structural components are regularly exposed to cyclic thermal stresses which can induce plastic deformation within them. The accumulation of plastic deformation will eventually lead to failure of the component. The creep behaviour a material exhibits depends upon the magnitude and sign of the prior loading the material was subjected to. This idea was investigated by conducting tests on a section of 316H stainless steel header at 550°C. Both negative and positive plastic strain were applied upon loading followed by load controlled creep to investigate the influence of prior loading upon the accumulation of creep strain. These tests resulted in more creep strain being accumulated after compressive prior loading as opposed to tensile prior loading. This result is significantly influenced by intergranular strains which come from elastic and plastic anisotropy. The experimental results have been compared to the results of an existing crystal plasticity finite element (CPFE) model and there is good agreement between the two sets. Validation of the CPFE model is important for understanding the behaviour of 316H and being able to accurately predict the hysteresis loop this material produces which can provide vital information when conducting life assessments.

An Analysis of Shear Localization During Bending of a Polycrystalline Sheet

1992 ◽  
Vol 59 (3) ◽  
pp. 491-496 ◽  
Author(s):  
R. Becker
Keyword(s):  
Plastic Deformation ◽  
Finite Element ◽  
Constitutive Model ◽  
Strain Localization ◽  
Texture Evolution ◽  
Rate Sensitivity ◽  
Shear Localization ◽  
Pure Bending ◽  
Stiffness Matrices ◽  
Localized Plastic Deformation

The development of shear localization in a polycrystalline sheet subject to pure bending is analyzed numerically using a slip-based constitutive model. The material response at each finite element integration point is determined by averaging the stiffness matrices from differently oriented FCC crystals. The effects of texture evolution, hardening, and strain-rate sensitivity are incorporated. The model predicts localized plastic deformation at both the tensile and the compressive surfaces of the sheet during bending. Comparison of the numerical results with a section of the bent sheet indicates that strain localization is predicted at the appropriate strain levels and orientations.

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