Automatic quantitative analysis of texture components from CODF data

M. J. Cai; Wing Bun Lee

Automatic quantitative analysis of texture components from CODF data

M. J. Cai, Wing Bun Lee

Research output: Journal article publication › Conference article › Academic research › peer-review

Abstract

A software named AQTA `Automatic Quantitative Texture Analysis' has been developed to output the volume fractions of texture components automatically according to the CODF data calculated from X-Ray diffraction pole figures. The software includes the following features: 1) Locating the peak positions of the CODF and calculating their Miller indices, 2) Searching all orientations of each main texture component, 3) Transforming the CODF data to volume fraction element data, 4) Determining the spreading spaces of each texture component, 5) Calculating the volume fractions of the texture components. Such simplified texture information will be useful for engineers in the quality control and processing of sheet metals in industry.

Original language	English
Pages (from-to)	327-332
Number of pages	6
Journal	Materials Science Forum
Volume	157-6
Issue number	pt 1
Publication status	Published - 1 Dec 1994
Event	Proceedings of the 10th International Conference on Textures of Materials. Part 1 (of 2) - Clausthal, Germany Duration: 20 Sept 1993 → 24 Sept 1993

ASJC Scopus subject areas

General Materials Science

Cite this

@article{db35728324264ac69e8e216cb380775c,

title = "Automatic quantitative analysis of texture components from CODF data",

abstract = "A software named AQTA `Automatic Quantitative Texture Analysis' has been developed to output the volume fractions of texture components automatically according to the CODF data calculated from X-Ray diffraction pole figures. The software includes the following features: 1) Locating the peak positions of the CODF and calculating their Miller indices, 2) Searching all orientations of each main texture component, 3) Transforming the CODF data to volume fraction element data, 4) Determining the spreading spaces of each texture component, 5) Calculating the volume fractions of the texture components. Such simplified texture information will be useful for engineers in the quality control and processing of sheet metals in industry.",

author = "Cai, {M. J.} and Lee, {Wing Bun}",

year = "1994",

month = dec,

day = "1",

language = "English",

volume = "157-6",

pages = "327--332",

journal = "Materials Science Forum",

issn = "0255-5476",

publisher = "Trans Tech Publications Ltd",

number = "pt 1",

note = "Proceedings of the 10th International Conference on Textures of Materials. Part 1 (of 2) ; Conference date: 20-09-1993 Through 24-09-1993",

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TY - JOUR

T1 - Automatic quantitative analysis of texture components from CODF data

AU - Cai, M. J.

AU - Lee, Wing Bun

PY - 1994/12/1

Y1 - 1994/12/1

N2 - A software named AQTA `Automatic Quantitative Texture Analysis' has been developed to output the volume fractions of texture components automatically according to the CODF data calculated from X-Ray diffraction pole figures. The software includes the following features: 1) Locating the peak positions of the CODF and calculating their Miller indices, 2) Searching all orientations of each main texture component, 3) Transforming the CODF data to volume fraction element data, 4) Determining the spreading spaces of each texture component, 5) Calculating the volume fractions of the texture components. Such simplified texture information will be useful for engineers in the quality control and processing of sheet metals in industry.

AB - A software named AQTA `Automatic Quantitative Texture Analysis' has been developed to output the volume fractions of texture components automatically according to the CODF data calculated from X-Ray diffraction pole figures. The software includes the following features: 1) Locating the peak positions of the CODF and calculating their Miller indices, 2) Searching all orientations of each main texture component, 3) Transforming the CODF data to volume fraction element data, 4) Determining the spreading spaces of each texture component, 5) Calculating the volume fractions of the texture components. Such simplified texture information will be useful for engineers in the quality control and processing of sheet metals in industry.

UR - http://www.scopus.com/inward/record.url?scp=0028666492&partnerID=8YFLogxK

M3 - Conference article

SN - 0255-5476

VL - 157-6

SP - 327

EP - 332

JO - Materials Science Forum

JF - Materials Science Forum

IS - pt 1

T2 - Proceedings of the 10th International Conference on Textures of Materials. Part 1 (of 2)

Y2 - 20 September 1993 through 24 September 1993

ER -

Automatic quantitative analysis of texture components from CODF data

Abstract

ASJC Scopus subject areas

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