Artificial neural networks for prediction of efficiency , fuel consumption and exhaust temperature in a CNG/Diesel dual fuel engine
عنوان مقاله: Artificial neural networks for prediction of efficiency , fuel consumption and exhaust temperature in a CNG/Diesel dual fuel engine
شناسه ملی مقاله: ISME17_095
منتشر شده در هفدهمین کنفرانس سالانه مهندسی مکانیک در سال 1388
شناسه ملی مقاله: ISME17_095
منتشر شده در هفدهمین کنفرانس سالانه مهندسی مکانیک در سال 1388
مشخصات نویسندگان مقاله:
A moallemi - master of science
F ghalichi - associated professor
R khoshbakhti - associated professor
M.R soleymani - associated professor
خلاصه مقاله:
A moallemi - master of science
F ghalichi - associated professor
R khoshbakhti - associated professor
M.R soleymani - associated professor
During the last few years a great deal of effort has been made for the reduction of pollutant emissions from direct injection diesel engines. Various solutions have been proposed one of which is the use of gaseous fuels as a supplement for liquid diesel fuel.
کلمات کلیدی: neural networks, CNG/Diesel engine, dual fuel engine (DFE), specific fuel consumption, thermal efficiency exhaust gas temperature
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/90257/