%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