Advanced search
1 file | 856.40 KB Add to list

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

Author
Organization
Abstract
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.
Keywords
SIMULATION, ALLOYS, POLYCRYSTALS

Downloads

  • VanHoutte etal.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 856.40 KB

Citation

Please use this url to cite or link to this publication:

MLA
Van Houtte, P., et al. “A New Cluster-Type Statistical Model for the Prediction of Deformation Textures.” IOP Conference Series-Materials Science and Engineering, edited by W Skrotzki and CG Oertel, vol. 82, IOP, 2015.
APA
Van Houtte, P., Xie, Q., Van Bael, A., Sidor, J., & Moerman, J. (2015). A new cluster-type statistical model for the prediction of deformation textures. In W. Skrotzki & C. Oertel (Eds.), IOP Conference Series-Materials Science and Engineering (Vol. 82). Bristol, UK: IOP.
Chicago author-date
Van Houtte, P, Q Xie, A Van Bael, Jurij Sidor, and J Moerman. 2015. “A New Cluster-Type Statistical Model for the Prediction of Deformation Textures.” In IOP Conference Series-Materials Science and Engineering, edited by W Skrotzki and CG Oertel. Vol. 82. Bristol, UK: IOP.
Chicago author-date (all authors)
Van Houtte, P, Q Xie, A Van Bael, Jurij Sidor, and J Moerman. 2015. “A New Cluster-Type Statistical Model for the Prediction of Deformation Textures.” In IOP Conference Series-Materials Science and Engineering, ed by. W Skrotzki and CG Oertel. Vol. 82. Bristol, UK: IOP.
Vancouver
1.
Van Houtte P, Xie Q, Van Bael A, Sidor J, Moerman J. A new cluster-type statistical model for the prediction of deformation textures. In: Skrotzki W, Oertel C, editors. IOP Conference Series-Materials Science and Engineering. Bristol, UK: IOP; 2015.
IEEE
[1]
P. Van Houtte, Q. Xie, A. Van Bael, J. Sidor, and J. Moerman, “A new cluster-type statistical model for the prediction of deformation textures,” in IOP Conference Series-Materials Science and Engineering, Dresden, Germany, 2015, vol. 82.
@inproceedings{8085197,
  abstract     = {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.},
  articleno    = {012015},
  author       = {Van Houtte, P and Xie, Q and Van Bael, A and Sidor, Jurij and Moerman, J},
  booktitle    = {IOP Conference Series-Materials Science and Engineering},
  editor       = {Skrotzki, W and Oertel, CG},
  issn         = {1757-8981},
  keywords     = {SIMULATION,ALLOYS,POLYCRYSTALS},
  language     = {eng},
  location     = {Dresden, Germany},
  pages        = {4},
  publisher    = {IOP},
  title        = {A new cluster-type statistical model for the prediction of deformation textures},
  url          = {http://dx.doi.org/10.1088/1757-899X/82/1/012015},
  volume       = {82},
  year         = {2015},
}

Altmetric
View in Altmetric
Web of Science
Times cited: