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    Artificial Neural Network Prediction of Diesel Engine Performance and Emission Fueled With Diesel–Kerosene–Ethanol Blends: A Fuzzy-Based Optimization 

    Source: Journal of Energy Resources Technology:;2017:;volume( 139 ):;issue: 004:;page 42201
    Author(s): Bhowmik, Subrata; Panua, Rajsekhar; Debroy, Durbadal; Paul, Abhishek
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The present study explores the impact of ethanol on the performance and emission characteristics of a single cylinder indirect injection (IDI) Diesel engine fueled with Diesel–kerosene blends. Five percent ethanol is added ...
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    Artificial Neural Network-Based Prediction of Performances-Exhaust Emissions of Diesohol Piloted Dual Fuel Diesel Engine Under Varying Compressed Natural Gas Flowrates 

    Source: Journal of Energy Resources Technology:;2018:;volume 140:;issue 011:;page 112201
    Author(s): Paul, Abhishek; Bhowmik, Subrata; Panua, Rajsekhar; Debroy, Durbadal
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The present study surveys the effects on performance and emission parameters of a partially modified single cylinder direct injection (DI) diesel engine fueled with diesohol blends under varying compressed natural gas (CNG) ...
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    A Comparative Study of Artificial Intelligence Based Models to Predict Performance and Emission Characteristics of a Single Cylinder Diesel Engine Fueled With Diesosenol 

    Source: Journal of Thermal Science and Engineering Applications:;2018:;volume( 010 ):;issue: 004:;page 41004
    Author(s): Bhowmik, Subrata; Panua, Rajsekhar; Kumar Ghosh, Subrata; Debroy, Durbadal; Paul, Abhishek
    Publisher: The American Society of Mechanical Engineers (ASME)
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