Published April 24, 2015 | Version v1
Journal article

A new cluster-type statistical model for the prediction of deformation textures

  • 1. Department MTM, KU Leuven, Leuven (Belgium)
  • 2. University of Science and Technology, Beijing (China)
  • 3. Department of Materials Science and Engineering, Ghent University (Belgium)
  • 4. Tata Steel, IJmuiden Technology Centre, IJmuiden (Netherlands)

Description

An attempt was done to improve the quality of deformation texture predictions by statistical models through the introduction of 'clusters' of N grains thus defining a third, intermediate length scale. The interaction between each cluster and the macroscopic length scale is of the Taylor type, whereas inside each cluster a VPSC scheme is used. Predictions of cold rolling deformation textures were quantitatively compared with experimental results for a steel alloy. The results are encouraging. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/82/1/012015

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
82
Journal Issue
1
Journal Page Range
[4 p.]
ISSN
1757-899X

Conference

Title
17. international conference on textures of materials
Acronym
ICOTOM 17
Dates
24-29 Aug 2014
Place
Dresden (Germany)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47095503
Subject category
S36: MATERIALS SCIENCE;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPARATIVE EVALUATIONS; DEFORMATION; FORECASTING; INTERACTIONS; ROLLING; STATISTICAL MODELS; STEELS; TEXTURE
Descriptors DEC
ALLOYS; CARBON ADDITIONS; EVALUATION; FABRICATION; IRON ALLOYS; IRON BASE ALLOYS; MATERIALS WORKING; MATHEMATICAL MODELS; TRANSITION ELEMENT ALLOYS