Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31231
Statistical Estimation of Spring-back Degree Using Texture Database

Authors: Takashi Sakai, Shinsaku Kikuta, Jun-ichi Koyama


Using a texture database, a statistical estimation of spring-back was conducted in this study on the basis of statistical analysis. Both spring-back in bending deformation and experimental data related to the crystal orientation show significant dispersion. Therefore, a probabilistic statistical approach was established for the proper quantification of these values. Correlation was examined among the parameters F(x) of spring-back, F(x) of the buildup fraction to three orientations after 92° bending, and F(x) at an as-received part on the basis of the three-parameter Weibull distribution. Consequent spring-back estimation using a texture database yielded excellent estimates compared with experimental values.

Keywords: Database, Texture, Bending, Weibull distribution, spring-back, Crystallographic Orientation, SEM-EBSD, Statistical analysis

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1481


[1] T. Sakai, T. Norichika and H. Morimoto, JCOSSAR2011-A, Vol. 7, pp. 542-547, (2011).
[2] S. Kikuta, T. Sakai, H. Omata and J. Koyama, JCOSSAR2011-A, Vol. 7, pp. 548-553, (2011).
[3] T. Sakai, T. Hirao, H. Omata and J. Koyama, JCOSSAR2011-A, Vol. 7, pp. 554-559, (2011).
[4] A. Ueno, A. Sakaida, M. Matsuoka, T. Sakai, K. Okada, K. Harada, H. Yoshizu, J. Kikuchi and T. Sakai, JCOSSAR2003-A, Vol. 5, pp. 459-464, (2003).
[5] W. J. Weibull, Appl. Mech., Vol. 18, pp. 291-297, (1951).
[6] T. Sakai, T. Hirao, H. Omata and J. Koyama, Journal of the JSTP, Vol. 54, No. 625, pp. 158-162, (2013).