%0 Journal Article
	%A Takashi Sakai and  Shinsaku Kikuta and  Jun-ichi Koyama
	%D 2014
	%J International Journal of Materials and Metallurgical Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 93, 2014
	%T Statistical Estimation of Spring-back Degree Using Texture Database
	%U https://publications.waset.org/pdf/9999186
	%V 93
	%X 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.

	%P 910 - 913