Artificial neural network approach to study the effect of injection pressure and timing on diesel engine performance fueled with biodiesel
GR Kannan, KR Balasubramanian, R Anand - International Journal of …, 2013 - Springer
This study intends to predict the influence of injection pressure and injection timing on
performance, emission and combustion characteristics of a diesel engine fuelled with waste
cooking palm oil based biodiesel using the artificial neural network (ANN) model. To acquire
data for training and testing in the proposed ANN, experiments were carried out in a single
cylinder, four stroke direct injection diesel engine at a constant speed of 1500 rpm and at full
load (100%) condition. From the experimental results, it was observed that waste cooking …
performance, emission and combustion characteristics of a diesel engine fuelled with waste
cooking palm oil based biodiesel using the artificial neural network (ANN) model. To acquire
data for training and testing in the proposed ANN, experiments were carried out in a single
cylinder, four stroke direct injection diesel engine at a constant speed of 1500 rpm and at full
load (100%) condition. From the experimental results, it was observed that waste cooking …
Artificial neural network approach to investigate the effect of injection pressure and timing on diesel engine fuelled with diestrol
GR Kannan - International Journal of Oil, Gas and Coal …, 2016 - inderscienceonline.com
The present investigation is an attempt to study the effect of injection pressure and injection
timing on performance, emission and combustion characteristics of a diesel engine fuelled
with a blend of 30% waste cooking palm oil (WCO) methyl ester, 60% diesel and 10%
ethanol (B30D60E10) or diestrol fuel using the artificial neural network (ANN) model. The
experimental investigation was carried out on a single cylinder, four strokes DI diesel engine
under full load (100%) condition at a constant speed of 1,500 rpm to obtain data for training …
timing on performance, emission and combustion characteristics of a diesel engine fuelled
with a blend of 30% waste cooking palm oil (WCO) methyl ester, 60% diesel and 10%
ethanol (B30D60E10) or diestrol fuel using the artificial neural network (ANN) model. The
experimental investigation was carried out on a single cylinder, four strokes DI diesel engine
under full load (100%) condition at a constant speed of 1,500 rpm to obtain data for training …
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