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    Network Modeling of Fin-and-Tube Evaporator Performance Under Dry and Wet Conditions 

    Source: Journal of Heat Transfer:;2010:;volume( 132 ):;issue: 007:;page 74502
    Author(s): Ling-Xiao Zhao; Liang Yang; Chun-Lu Zhang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A new neural network modeling approach to the evaporator performance under dry and wet conditions has been developed. Not only the total cooling capacity but also the sensible heat ratio and ...
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    A Generalized Neural Network Model of Refrigerant Mass Flow Through Adiabatic Capillary Tubes and Short Tube Orifices 

    Source: Journal of Fluids Engineering:;2007:;volume( 129 ):;issue: 012:;page 1559
    Author(s): Ling-Xiao Zhao; Chun-Lu Zhang; Liang-Liang Shao; Liang Yang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Adiabatic capillary tubes and short tube orifices are widely used as expansive devices in refrigeration, residential air conditioners, and heat pumps. In this paper, a generalized neural network ...
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    DSpace software copyright © 2002-2015  DuraSpace
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