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