Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/9999186,
  title    = {Statistical Estimation of Spring-back Degree Using Texture Database},
  author    = {Takashi Sakai and  Shinsaku Kikuta and  Jun-ichi Koyama},
  country   = {Japan},
  institution={Seikei University},
  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 Chemical, Molecular, Nuclear, Materials and Metallurgical Engineering},  volume    = {8},
  number    = {9},
  year      = {2014},
  pages     = {910 - 913},
  ee        = {http://waset.org/publications/9999186},
  url       = {http://waset.org/Publications?p=93},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 93, 2014},
}