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/82/1/012015Additional details
Identifiers
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