화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Korean Journal of Chemical Engineering, Vol.31, No.5, 772-779, May, 2014
DOI10.1007/s11814-013-0255-9  Export Citation
Predicting the velocity distribution of Rushton turbine impeller in mixing of polymeric liquids using fuzzy neural network models
Ali Aminian, and Mansour Jahangiri†
  • Faculty of Chemical, Petroleum and Gas Engineering, Semnan University, P. O. Box 35195-363, Semnan, I. R. Iran
E-mail:
Velocity profiles are helpful for the confident design of mixing tanks and chemical reactors in mixing processes. A fuzzy model and an artificial neural network have been presented for accurate prediction of velocity distribution of Rushton turbine impeller (RTI) for the mixing of polymeric liquids in the lower transition region: 35
Keywords:Fuzzy;Artificial Neural Network;Velocity Distribution;Rushton Turbine Impeller;Polymeric Liquids
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