Homework 3 and 4 Contribution - Group 1
Contents |
Overview
Crystal plasticity models became popular during 1980s as a tool to study deformation and texture behavior of metals during material processing^{[1]} and shear localization^{[2]}^{[3]}. The basic elements of the theory comprise (i) kinetics including self and latent hardening components^{[4]}; (ii) kinematics in which the concept of the plastic spin plays an important role; and (iii) intergranular constraint laws to govern interactions among crystals or grains. The theory is commonly acknowledged for providing realistic prediction/correlation of texture development and stress-strain behavior at large strains as it joins continuum theory with discretized crystal activity^{[5]}.
Crystal Plasticity
The crystal plasticity simulations for the one, twenty, fifty-five grains were successfully ran in the tension, compression, and shear loading conditions. Four hardening cases taken from Groh^{[6]} were studied for each loading condition. For all loading conditions the lowest saturation strength variable, κ_{s} = 46.75 MPa created the curves with the higher ultimate stress, with κ_{s} = 47.75, κ_{s} = 48.84, and κ_{s} = 49.10 MPa following, respectively. Figure 1 illustrates the stress-strain relationships for the tension loading condition for the various grain numbers and hardening constant cases.
The representation of orientations within the crystal structures are usually given by Euler angles. The angles are based off of an orientation in three-dimensional Euclidean space and represent the rotations from the reference to the current configuration. For this study, the Euler angles were randomly generated and then graphically represented using pole figures. The pole figures (Figures 2) show the crystallographic preferred orientations (texture) on the face centered cubic (111) plane via the stereographic projection method.
Macroscale Internal State Variable Plasticity
In order to quantify the effects of damage, stress-strain data from the above crystal plasticity investigation was used to fit the constants from the Internal State Variable Plasticity-Damage Model DMG-fit tool. Table 1 shows the non-zero constants used to fit the tension data. Figure 3 shows the fit.
Parameter | G | Bulk | Kic | Tint | Tmelt | heat | nv | fn | dcs | dcs0 | C1 | C3 | C5 | C9 | C13 | CAcon |
25563.9 | 66666.7 | 1000 | 297 | 933.52 | 0.370521 | 0.3 | 0.001 | 30 | 30 | 2.1 | 10 | 500 | 120.339 | 0.166 | 0.5 |
Following the crystal plasticity simulations and DMGfit routine, a one element finite element simulation in ABAQUS with the ISV-Damage UMAT was ran using the constants in Table 1. Figure 4 serves to validate the plasticity-damage model as the stress-strain response shows good agreement.
References
- ↑ P. Dawson, On modeling of mechanical property changes during flat rolling of aluminum, International Journal of Solids and Structures, 23 (7)(1987) 947–968.
- ↑ D. Peirce, R. Asaro, A. Needleman, An analysis of nonuniform and localized deformation in ductile single crystals, Acta Metallurgica, 30 (6)(1982) 1087–1119.
- ↑ M. Rashid, S. Newmat-Nasser, Modeling very large plastic flows at very large strain rates for large-scale computation, Computers & Structures, 37 (2) (1990) 119–132.
- ↑ U. Krocks, C. Tome, H. Wenk, Texture and Anisotropy: Preferred Orientations in Polycrystals and Their Effect on Materials Properties, 2000.
- ↑ M. Horstemeyer, Integrated Computation Materials Engineering (ICME) for Metals, John Wiley & Sons, Inc., 2012.
- ↑ S. Groh, E.B. Marin, M.F. Horstemeyer, and H.M. Zbib. Multiscale modeling of the plasticity in an aluminum single crystal. International Journal of Plasticity, 25(8):1456-1473, 2009.