@article{(Open Science Index):https://publications.waset.org/pdf/9999186, title = {Statistical Estimation of Spring-back Degree Using Texture Database}, author = {Takashi Sakai and Shinsaku Kikuta and Jun-ichi Koyama}, country = {}, institution = {}, abstract = {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. }, journal = {International Journal of Materials and Metallurgical Engineering}, volume = {8}, number = {9}, year = {2014}, pages = {910 - 913}, ee = {https://publications.waset.org/pdf/9999186}, url = {https://publications.waset.org/vol/93}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 93, 2014}, }