Grain boundary character distribution of computer microstructure generated in HCP materials by Gaussian distribution and the Monte-Carlo method

H. S. Ryoo; S. K. Hwang; M. H. Kim; S. I. Kwun; S. W. Chae

doi:10.1016/S1359-6462(01)00928-9

Grain boundary character distribution of computer microstructure generated in HCP materials by Gaussian distribution and the Monte-Carlo method

H. S. Ryoo, S. K. Hwang, M. H. Kim, S. I. Kwun, S. W. Chae

School of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

19 Citations (Scopus)

Abstract

The grain boundary character distribution (GBCD) of individual grains using Monte Carlo method was obtained. A microstructure simulating the texture distribution of real materials was generated. A computer-generated initial microstructure that closely resembles the GBCD of the real microstructure can be obtained, which, in turn, is used for studying the mechanism of microstructural evolution in HCP system.

Original language	English
Pages (from-to)	2583-2589
Number of pages	7
Journal	Scripta Materialia
Volume	44
Issue number	11
DOIs	https://doi.org/10.1016/S1359-6462(01)00928-9
Publication status	Published - 2001 Jun 1

Keywords

Computer microstructure
GBCD
HCP
Individual orientations
Monte Carlo
Texture

ASJC Scopus subject areas

Materials Science(all)
Condensed Matter Physics
Mechanics of Materials
Mechanical Engineering
Metals and Alloys

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10.1016/S1359-6462(01)00928-9

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title = "Grain boundary character distribution of computer microstructure generated in HCP materials by Gaussian distribution and the Monte-Carlo method",

abstract = "The grain boundary character distribution (GBCD) of individual grains using Monte Carlo method was obtained. A microstructure simulating the texture distribution of real materials was generated. A computer-generated initial microstructure that closely resembles the GBCD of the real microstructure can be obtained, which, in turn, is used for studying the mechanism of microstructural evolution in HCP system.",

keywords = "Computer microstructure, GBCD, HCP, Individual orientations, Monte Carlo, Texture",

author = "Ryoo, {H. S.} and Hwang, {S. K.} and Kim, {M. H.} and Kwun, {S. I.} and Chae, {S. W.}",

note = "Funding Information: This work was supported by Korea Institute of Science & Technology Evaluation and Planning under 1999 Basic Research Program in Atomic Energy Technology. Copyright: Copyright 2007 Elsevier B.V., All rights reserved.",

year = "2001",

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T1 - Grain boundary character distribution of computer microstructure generated in HCP materials by Gaussian distribution and the Monte-Carlo method

AU - Ryoo, H. S.

AU - Hwang, S. K.

AU - Kim, M. H.

AU - Kwun, S. I.

AU - Chae, S. W.

N1 - Funding Information: This work was supported by Korea Institute of Science & Technology Evaluation and Planning under 1999 Basic Research Program in Atomic Energy Technology. Copyright: Copyright 2007 Elsevier B.V., All rights reserved.

PY - 2001/6/1

Y1 - 2001/6/1

N2 - The grain boundary character distribution (GBCD) of individual grains using Monte Carlo method was obtained. A microstructure simulating the texture distribution of real materials was generated. A computer-generated initial microstructure that closely resembles the GBCD of the real microstructure can be obtained, which, in turn, is used for studying the mechanism of microstructural evolution in HCP system.

AB - The grain boundary character distribution (GBCD) of individual grains using Monte Carlo method was obtained. A microstructure simulating the texture distribution of real materials was generated. A computer-generated initial microstructure that closely resembles the GBCD of the real microstructure can be obtained, which, in turn, is used for studying the mechanism of microstructural evolution in HCP system.

KW - Computer microstructure

KW - GBCD

KW - HCP

KW - Individual orientations

KW - Monte Carlo

KW - Texture

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JO - Scripta Materialia

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SN - 1359-6462

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ER -

Grain boundary character distribution of computer microstructure generated in HCP materials by Gaussian distribution and the Monte-Carlo method

Abstract

Keywords

ASJC Scopus subject areas

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