Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/13264,
  title    = {Implementation of Response Surface Methodology using in Small Brown Rice Peeling Machine: Part I},
  author    = {S. Bangphan and  P. Bangphan and  T.Boonkang},
  country   = {Thailand},
  institution={Rajamangala University of Technology Lanna, Chiangmai Campus},
  abstract  = {Implementation of response surface methodology (RSM) was employed to study the effects of two factor (rubber clearance and round per minute) in brown rice peeling machine of The optimal BROKENS yield (19.02, average of three repeats),.The optimized composition derived from RSM regression was analyzed using Regression analysis and Analysis of Variance (ANOVA). At a significant level α = 0.05, the values of Regression coefficient, R 2 (adj)were 97.35 % and standard deviation were 1.09513. The independent variables are initial rubber clearance, and round per minute parameters namely. The investigating responses are final rubber clearance, and round per minute (RPM). The restriction of the optimization is the designated.
},
  {International Journal of Nutrition and Food Engineering },  volume    = {7},
  number    = {2},
  year      = {2013},
  pages     = {112 - 116},
  ee        = {http://waset.org/publications/13264},
  url       = {http://waset.org/Publications?p=74},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 74, 2013},
}