@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},
	}