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    Application of Generalized Regression Neural Network in Predicting the Performance of Natural Convection Solar Dryer 

    Source: Journal of Solar Energy Engineering:;2020:;volume( 142 ):;issue: 003:;page 031002-1
    Author(s): Sridharan, M.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The performance evaluation of a natural convection solar dryer is a complex one because of the transient and non-linear nature of atmospheric conditions. In this comparative study, a smart neural network -based tool was ...
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    Verification and Validation of Solar Photovoltaic Thermal Water Collectors Performance Using Fuzzy Logic 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2020:;volume( 004 ):;issue: 004
    Author(s): Sridharan, M.; Jayaprakash, G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The performance of the solar photovoltaic (PV) module is more sensitive to its operating temperature. A PV module with a cooling system produces higher electrical power output than a PV module without a cooling system. In ...
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    Effect of Sucrose Catalyst in the Catalytic Converter on Performance and Emission of Spark Ignition Engine 

    Source: Journal of Thermal Science and Engineering Applications:;2021:;volume( 014 ):;issue: 004:;page 41015-1
    Author(s): Sathyanarayanan, S.; Suresh, S.; Sridharan, M.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this study, experimental attempts were made to reduce exhaust gas toxic emissions from the spark ignition (SI) engine. For this, a sucrose catalyst is coated inside the metallic substrate. The obtained emission level ...
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    Performance of a Downstream Finned Solar Photovoltaic Thermal Air System 

    Source: Journal of Thermal Science and Engineering Applications:;2021:;volume( 013 ):;issue: 004:;page 041028-1
    Author(s): Franklin, J. Charles; Chandrasekar, M.; Sridharan, M.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A new photovoltaic thermal air (PVTa) system with fins in the downstream portion of the air channel was tested for its thermal and electrical performance in this work. For this purpose, two fin configurations were opted. ...
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    Machine Learning Aided Numerical and Experimental Investigation of Hydrodynamic Performance in the Circulating Fluidized Bed Boiler 

    Source: Journal of Thermal Science and Engineering Applications:;2023:;volume( 016 ):;issue: 002:;page 21007-1
    Author(s): Mercy Vasan, A.; Sridharan, M.; Gopalakrishnan, V.; Shiva Ranjani, R. S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study attempts to illustrate the benefits of integrating the concepts of machine learning algorithms with the field of thermo-fluidic applications. The current work is aimed at identifying effective or significant ...
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    Prediction of Solar Photovoltaic/Thermal Collector Power Output Using Fuzzy Logic 

    Source: Journal of Solar Energy Engineering:;2018:;volume( 140 ):;issue: 006:;page 61013
    Author(s): Sridharan, M.; Jayaprakash, G.; Chandrasekar, M.; Vigneshwar, P.; Paramaguru, S.; Amarnath, K.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In recent years, solar PV/T water collectors have been identified as one of the most promising hybrid devices. It is a combination of solar photovoltaic (PV) and solar flat plate collector (FPC) systems capable of generating ...
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