연구동향 분석

Prediction of flow boiling heat transfer coefficient in horizontal channels varying from conventional to small-diameter scales by genetic neural network

Jing Zhang Yichao Ma Mingjun Wang Dalin Zhang Suizheng Qiu Wenxi Tian Guanghui Su 2019년

논문상세정보
인용/피인용
' Prediction of flow boiling heat transfer coefficient in horizontal channels varying from conventional to small-diameter scales by genetic neural network' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Back propagation network (BPN)
  • Conventional channel
  • Flow boiling heat transfer coefficient
  • Genetic neural network (GNN)
  • Small channel
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
11 0

0.0%

' Prediction of flow boiling heat transfer coefficient in horizontal channels varying from conventional to small-diameter scales by genetic neural network' 의 참고문헌

  • and CO2 in horizontal smooth minichannels
    K. I. Choi [2007]
  • Two-phase flow heat transfer of propane vaporization in horizontal minichannels
  • Two-phase flow boiling heat transfer and pressure drop with R-407C, R-410A, R-22, and CO2 in horizontal minichannels
  • Transport properties and surface tension of pure and mixed refrigerants
    D. Jung [1991]
  • Thermal optimization of PCM based pin fin heat sinks : an experimental study
    R. Baby [2013]
  • Small circular-and rectangularchannel boiling with two refrigerants
    T. N. Tran [1996]
  • Review and comparative analysis of studies on saturated flow boiling in small channels
  • Pressure effect on flow boiling heat transfer of water in minichannels
    K. H. Bang [2011]
  • Prediction of LBB leakage for various conditions by genetic neural network and genetic algorithms
    J. Zhang [2017]
  • Predicting Heat Transfer during Flow Boiling in Minichannels and Microchannels
  • Numerical investigation of azimuthal heat conduction effects on CHF phenomenon in rod bundle channel
    X. M. Dong [2018]
  • Neural Networks
    S. Haykin [1999]
  • Modelling and Pareto optimization of heat transfer and flow coefficients in microchannels using GMDH type neural networks and genetic algorithms
  • Investigation of flow boiling in horizontal tubes: Part IIddevelopment of a new heat transfer model for stratifiedwavy, dryout and mist flow regimes
    L. Wojtan [2005]
  • Investigation of flow boiling in horizontal tubes : Part Ida new diabatic two-phase flow pattern map
    L. Wojtan [2005]
  • In-tube evaporation of HCFC-22 in a 9. 52 mm micro-fin/smooth tube
    C. S. Kuo [1996]
  • Heat transfer model for evaporation of elongated bubble flows in microchannels
  • Heat transfer characteristics of R410Aeoil mixture flow boiling inside a 7mm straight microfin tube
    H. Hu [2008]
  • Generalized neural network correlation for flow boiling heat transfer of R22 and its alternative refrigerants inside horizontal smooth tubes
    W. J. Wang [2006]
  • Fundamental issues related to flow boiling in minichannels and microchannels
  • Foundations of Genetic Algorithms
  • Forced convective boiling heat transfer of R-410A in horizontal minichannels
  • Forced convection and flow boiling heat transfer for liquid flowing through microchannels
    X. F. Peng [1993]
  • Flow condensation heat transfer coefficients of R22, R134a, R407C, and R410A inside plain and microfin tubes
    D. Jung [2004]
  • Flow boiling of water in minichannels: effect of pressure
    K. H. Bang [2007]
  • Flow boiling heat transfer of Freon R11 and HCFC123 in narrow passages
    Z. Y. Bao [2000]
  • Experimental investigation on heat transfer performance of C-shape tube immerged in a water pool
    M. Gui [2019]
  • Evaporative heat transfer, pressure drop and critical heat flux in a small vertical tube with R-113
  • Evaporative heat transfer and pressure drop of R410A in microchannels
    R. Yun [2006]
  • Evaporative Characteristics of R-12, R-134a and a Mixture at Low Mass Fluxes
  • Evaporation of refrigerants in a smooth horizontal tube : prediction of R22 and R507 heat transfer coefficients and pressure drop
    A. Greco [2004]
  • Evaporation of refrigerants in a horizontal tube : an improved flow pattern dependent heat transfer model compared to ammonia data
    O. Zürcher [2002]
  • Evaporation heat transfer characteristics of R-410A in 7 and 9. 52 mm smooth/micro-fin tubes
    Y. Kim [2002]
  • Evaporation heat transfer and pressure drop of R-22 in 7 and 9. 52 mm smooth/micro-fin tubes
    K. Seo [2000]
  • Evaporating heat transfer of R22 and R410A in horizontal smooth and microfin tubes
    M. H. Kim [2005]
  • Evaluating convective heat transfer coefficients using neural networks
  • Deep learning in neural networks : an overview
  • Correlation for flow boiling heat transfer in mini-channels
    W. Zhang [2004]
  • Correlation for boiling heat transfer to saturated fluids in convective flow
    J. C. Chen [1966]
  • Convective boiling performance of refrigerant R-134a in herringbone and microfin copper tubes
  • Convective boiling of pure and mixed refrigerants : an experimental study of the major parameters affecting heat transfer
    A. Greco [2008]
  • Chart correlation for saturated boiling heat-transfer : equations and further study
    M. M. Shah [1982]
  • Characteristics of evaporation heat transfer and flow pattern of pure refrigerant HFC134a in a horizontal capillary tube
    K. Kuwahara [2000]
  • Boiling heat transfer in a horizontal small-diameter tube
  • Boiling and evaporation in small diameter channels
  • Boiling Heat Transfer in a Small Horizontal Rectangular Channel
    T. N. Tran [1993]
  • Artificial neural network techniques for the determination of condensation heat transfer characteristics during downward annular flow of R134a inside a vertical smooth tube
    M. Balcilar [2011]
  • Artificial Neural Network Model and its Application
    L.M. Zhang [1993]
  • Application of the FCM-based neurofuzzy inference system and genetic algorithm-polynomial neural network approaches to modelling the thermal conductivity of aluminaewater nanofluids
    M. Mehrabi [2012]
  • Application of an artificial neural network in reactor thermohydraulic problem : prediction of critical heat flux
    G. H. Su [2002]
  • Analysis of forced convection heat transfer to supercritical carbon dioxide inside tubes using neural networks
  • A review of evolutionary artificial neural networks
    Yao [1993]
  • A new method for determination of flow boiling heat transfer coefficient in conventional-diameter channels and minichannels
  • A new approach for the prediction of the heat transfer rate of the wire-on-tube type heat exchangereeuse of an artificial neural network model
  • A neural network approach for non-iterative calculation of heat transfer coefficient in fluideparticle systems
  • A general correlation for saturated two-phase flow boiling heat transfer inside horizontal and vertical tubes
  • A general correlation for flow boiling in tubes and annuli
    K. Gungor [1986]
  • A comparative artificial intelligence approach to inverse heat transfer modeling of an irradiative dryer