메뉴 건너뛰기




Volumn 70, Issue , 2014, Pages 719-724

Experimental investigation of horizontal tube immersed in gas-solid fluidized bed of large particles using artificial neural network

Author keywords

Artificial neural network; Fluidized bed; Heat transfer coefficient; Horizontal tube; Large particle

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELING; AVERAGE HEAT TRANSFERS; EXPERIMENTAL INVESTIGATIONS; GAS-SOLID FLUIDIZED BED; HORIZONTAL TUBES; LARGE PARTICLES; NEURAL NETWORK MODEL; TEMPERATURE DIFFERENCES;

EID: 84890502657     PISSN: 00179310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijheatmasstransfer.2013.11.073     Document Type: Article
Times cited : (20)

References (25)
  • 3
    • 0020826179 scopus 로고
    • Heat transfer in large particle fluidized beds
    • N. Decker, and L.R. Glicksman Heat transfer in large particle fluidized beds Int. J. Heat Mass Transfer 26 9 1983 1307 1320
    • (1983) Int. J. Heat Mass Transfer , vol.26 , Issue.9 , pp. 1307-1320
    • Decker, N.1    Glicksman, L.R.2
  • 5
    • 84890464666 scopus 로고    scopus 로고
    • Experimental study of heat transfer between the shallow fluidized bed and a tube bundle immersed in it
    • M.S. Al-Dabbagh Experimental study of heat transfer between the shallow fluidized bed and a tube bundle immersed in it Al Rafidain Eng. 14 4 2006 24 33
    • (2006) Al Rafidain Eng. , vol.14 , Issue.4 , pp. 24-33
    • Al-Dabbagh, M.S.1
  • 6
    • 84890496533 scopus 로고    scopus 로고
    • Investigations on heat transfer between a bubbling fluidized bed and immersed tubes for heat recovery and power generation
    • F. Miccio, A.D. Riccardis, and M. Miccio Investigations on heat transfer between a bubbling fluidized bed and immersed tubes for heat recovery and power generation Ital. sect. Combust. Inst. 15 2009 1 4
    • (2009) Ital. Sect. Combust. Inst. , vol.15 , pp. 1-4
    • Miccio, F.1    Riccardis, A.D.2    Miccio, M.3
  • 8
    • 33751011381 scopus 로고    scopus 로고
    • Heat transfer in a membrane assisted bubbling fluidized with immersed horizontal tubes
    • S. Deshmukh, S. Volkers, M. Annaland, and H. Kuipers Heat transfer in a membrane assisted bubbling fluidized with immersed horizontal tubes Int. J. Chem. Reactor Eng. 3 A1 2005 1 16
    • (2005) Int. J. Chem. Reactor Eng. , vol.3 , pp. 1-16
    • Deshmukh, S.1    Volkers, S.2    Annaland, M.3    Kuipers, H.4
  • 9
    • 0021495133 scopus 로고
    • Heat transfer to immersed surfaces in gas-fluidized beds of large particles and powder characterization
    • S.C. Saxena, and V.L. Ganzha Heat transfer to immersed surfaces in gas-fluidized beds of large particles and powder characterization Powder Technol. 39 1984 199 208
    • (1984) Powder Technol. , vol.39 , pp. 199-208
    • Saxena, S.C.1    Ganzha, V.L.2
  • 11
    • 0000498645 scopus 로고
    • Heat transfer between a vertical tube and a fluidized air-solid mixture
    • W.M. Dow, and M. Jakob Heat transfer between a vertical tube and a fluidized air-solid mixture Chem. Eng. Prog. 47 2 1951 637
    • (1951) Chem. Eng. Prog. , vol.47 , Issue.2 , pp. 637
    • Dow, W.M.1    Jakob, M.2
  • 12
    • 84921187907 scopus 로고
    • Mechanism of heat transfer to fluidized beds
    • H.S. Mickley, and D.F. Fairbanks Mechanism of heat transfer to fluidized beds AIChE. J. 1 3 1955 374 383
    • (1955) AIChE. J. , vol.1 , Issue.3 , pp. 374-383
    • Mickley, H.S.1    Fairbanks, D.F.2
  • 13
    • 51649119346 scopus 로고    scopus 로고
    • A single particle model for surface-to-bed heat transfer in fluidized beds
    • F.D. Natale, A. Lancia, and R. Nigro A single particle model for surface-to-bed heat transfer in fluidized beds Powder Technol. 187 2008 68 78
    • (2008) Powder Technol. , vol.187 , pp. 68-78
    • Natale, F.D.1    Lancia, A.2    Nigro, R.3
  • 14
    • 51649128985 scopus 로고    scopus 로고
    • Investigation of heat transfer between a horizontal tube and gas-solid fluidized bed
    • M. Nima, N. Mostoufi, A. Hamidi, and S.G. Rahmat Investigation of heat transfer between a horizontal tube and gas-solid fluidized bed Int. J. Heat Fluid Flow 29 2008 1504 1511
    • (2008) Int. J. Heat Fluid Flow , vol.29 , pp. 1504-1511
    • Nima, M.1    Mostoufi, N.2    Hamidi, A.3    Rahmat, S.G.4
  • 15
    • 0035916802 scopus 로고    scopus 로고
    • Dynamic prediction and control of heat exchangers using artificial neural networks
    • G. Diaz, M. Sen, K.T. Yang, and R.L. McClain Dynamic prediction and control of heat exchangers using artificial neural networks Int. J. Heat Mass Transfer 44 2001 1671 1679
    • (2001) Int. J. Heat Mass Transfer , vol.44 , pp. 1671-1679
    • Diaz, G.1    Sen, M.2    Yang, K.T.3    McClain, R.L.4
  • 16
    • 0033686465 scopus 로고    scopus 로고
    • Applications of artificial neural-networks for energy systems
    • S.A. Kalogirou Applications of artificial neural-networks for energy systems Appl. Energy 67 2000 17 35
    • (2000) Appl. Energy , vol.67 , pp. 17-35
    • Kalogirou, S.A.1
  • 17
    • 0035388101 scopus 로고    scopus 로고
    • Neural network design for engineering applications
    • M.Y. Rafiq, G. Bugmann, and D.J. Easterbrook Neural network design for engineering applications Comput. Struct. 79 2001 1541 1552
    • (2001) Comput. Struct. , vol.79 , pp. 1541-1552
    • Rafiq, M.Y.1    Bugmann, G.2    Easterbrook, D.J.3
  • 19
    • 30444450718 scopus 로고    scopus 로고
    • Artificial neural network based prediction of bed expansion ratio in gas-solid fluidized beds with disk and blade promoters
    • IE â̂
    • A. Kumar, and G.K. Roy Artificial neural network based prediction of bed expansion ratio in gas-solid fluidized beds with disk and blade promoters Journal 85 2004 12 16 IE â̂ -
    • (2004) Journal , vol.85 , pp. 12-16
    • Kumar, A.1    Roy, G.K.2
  • 20
    • 84861873466 scopus 로고    scopus 로고
    • Applying artificial neural network for drying time prediction of green pea in microwave-assisted fluidized bed dryer
    • L. Momenzadeh, A. Zomorodian, and D. Mowla Applying artificial neural network for drying time prediction of green pea in microwave-assisted fluidized bed dryer J. Agr. Sci. Technol. 14 2012 513 522
    • (2012) J. Agr. Sci. Technol. , vol.14 , pp. 513-522
    • Momenzadeh, L.1    Zomorodian, A.2    Mowla, D.3
  • 21
    • 33749549459 scopus 로고    scopus 로고
    • Neural network based predictive control of a heat exchanger nonlinear process
    • M. Kharaajoo, and B.N. Araabi Neural network based predictive control of a heat exchanger nonlinear process J. Electr. Electron. Eng. 4 2 2004 1219 1226
    • (2004) J. Electr. Electron. Eng. , vol.4 , Issue.2 , pp. 1219-1226
    • Kharaajoo, M.1    Araabi, B.N.2
  • 23
    • 69449097733 scopus 로고    scopus 로고
    • Artificial neural network modeling of the thermal performance of a compact heat exchanger
    • C.K. Tan, J. Ward, S.J. Wilcox, and R. Payne Artificial neural network modeling of the thermal performance of a compact heat exchanger Appl. Therm. Eng. 29 2009 3609 3617
    • (2009) Appl. Therm. Eng. , vol.29 , pp. 3609-3617
    • Tan, C.K.1    Ward, J.2    Wilcox, S.J.3    Payne, R.4
  • 24
    • 33845704412 scopus 로고    scopus 로고
    • Artificial neural network approach to segregation characteristic of binary homogeneous mixtures in promoted gas solid fluidized beds
    • A. Sahoo, and G.K. Roy Artificial neural network approach to segregation characteristic of binary homogeneous mixtures in promoted gas solid fluidized beds J. Powder Technol. 171 1 2007 54 62
    • (2007) J. Powder Technol. , vol.171 , Issue.1 , pp. 54-62
    • Sahoo, A.1    Roy, G.K.2
  • 25
    • 77951122431 scopus 로고    scopus 로고
    • Application of artificial neural networks for prediction of natural convection heat transfer from a confined horizontal elliptic tube
    • M. Hayati, T. Yousefi, M. Ashjaee, A. Hamidi, and Y. Shirvany Application of artificial neural networks for prediction of natural convection heat transfer from a confined horizontal elliptic tube World Acad. Sci. Eng. Technol. 28 2007 269 274
    • (2007) World Acad. Sci. Eng. Technol. , vol.28 , pp. 269-274
    • Hayati, M.1    Yousefi, T.2    Ashjaee, M.3    Hamidi, A.4    Shirvany, Y.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.