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

17th International Conference on Textures of Materials

材料科学;物理学

Van Houtte, P.^1 ; Xie, Q.^2 ; Van Bael, A.^1 ; Sidor, J.^3 ; Moerman, J.^4

Department MTM, KU Leuven, Leuven, Belgium^1

University of Science and Technology, Beijing, China^2

Department of Materials Science and Engineering, Ghent University, Belgium^3

Tata Steel, IJmuiden Technology Centre, IJmuiden, Netherlands^4

关键词: Cold rolling deformation;    Deformation texture;    Length scale;    Macroscopic length;    Statistical modeling;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/82/1/012015/pdf
DOI  :  10.1088/1757-899X/82/1/012015

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

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.