Artificial neural networks for prediction of efficiency , fuel consumption and exhaust temperature in a CNG/Diesel dual fuel engine

Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ISME17_095

تاریخ نمایه سازی: 20 فروردین 1389

Abstract:

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.

Keywords:

neural networks , CNG/Diesel engine , dual fuel engine (DFE) , specific fuel consumption , thermal efficiency exhaust gas temperature

Authors

A moallemi

master of science

F ghalichi

associated professor

R khoshbakhti

associated professor

M.R soleymani

associated professor