Abnormal Subgrain Growth by Monte Carlo Simulation Based on Hot-Rolled AA5005 Aluminum Alloy Texture

The subgrain structure of hot rolled aluminum alloy AA 5005 has been characterized on as-received samples using Electron Backscatter Diffraction (EBSD). Based on the OIM scans of RD-ND and TD-ND, 3 dimensional microstructures of subgrains are built up using the 3D Microstructure Builder, which is a method for developing statistically representative digital representations of microstructures. Following the generation of microstructure, different textures were fit to these reconstructed 3D microstructures, based on individual components such as Brass and S textures. For this study, the Brass texture was chosen as an exemplary case. Monte Carlo simulation was used to model subgrain coarsening and visualization was a key to detecting abnormal grain growth. The main objective is to understand the circumstances under which we can expect abnormal (sub-)grain growth to lead to nucleation of recrystallization.

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Abnormal Subgrain Growth by Monte Carlo Simulation Based on Hot-Rolled AA5005 Aluminum Alloy Texture

Materials Science Forum - Recrystallization and Grain Growth III ◽

10.4028/0-87849-443-x.377 ◽

2007 ◽

pp. 377-382

Author(s):

Sheng Yu Wang ◽

Anthony D. Rollett

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Aluminum Alloy ◽

Subgrain Growth ◽

Simulation Based ◽

Hot Rolled

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Three-Dimensional Monte Carlo Simulation of Primary Recrystallization and Grain Growth in Metals with Texture

Materials Science Forum ◽

10.4028/www.scientific.net/msf.273-275.425 ◽

1998 ◽

Vol 273-275 ◽

pp. 425-432

Author(s):

K. Mehnert ◽

P. Klimanek

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Grain Growth ◽

Three Dimensional ◽

Primary Recrystallization

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Characterization and Prediction of Texture in Laser Annealed NiTi Shape Memory Thin Films

ASME 2010 International Manufacturing Science and Engineering Conference, Volume 2 ◽

10.1115/msec2010-34250 ◽

2010 ◽

Cited By ~ 1

Author(s):

Gen Satoh ◽

Y. Lawrence Yao ◽

Xu Huang ◽

Ainissa Ramirez

Keyword(s):

Thin Film ◽

Monte Carlo ◽

Shape Memory ◽

Grain Growth ◽

Electron Backscatter Diffraction ◽

Laser Crystallization ◽

3 Dimensional ◽

Shape Memory Properties ◽

Melting Regime ◽

Grain Growth Model

Thin film shape memory alloys are a promising material for use in micro-scale devices for actuation and sensing due to their strong actuating force, substantial displacements, and large surface to volume ratios. NiTi, in particular, has been of great interest due to its biocompatibility and corrosion resistance. Effort has been directed toward adjusting the microstructure of as-deposited films in order to modify their shape memory properties for specific applications. The anisotropy of the shape memory and superelastic effects suggests that inducing preferred orientations could allow for optimization of shape memory properties. Limited work, however, has been performed on adjusting the crystallographic texture of these films. In this study, thin film NiTi samples are processed using excimer laser crystallization and the effect on the overall preferred orientation is analyzed through the use of electron backscatter diffraction and x-ray diffraction. A 3-dimensional Monte Carlo grain growth model is developed to characterize textures formed through surface energy induced abnormal grain growth during solidification. Furthermore, a scaling factor between Monte Carlo steps and real time is determined to aid in the prediction of texture changes during laser crystallization in the partial melting regime.

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