Application of artificial neural network to forecast engine performance and emissions of a spark ignition engine

J Fu, R Yang, X Li, X Sun, Y Li, Z Liu, Y Zhang… - Applied Thermal …, 2022 - Elsevier
Increasing the application of machine learning algorithms in engine development has the
potential to reduce the number of experimental runs and the computation cost of …

[HTML][HTML] Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-alcohol mixtures

E Tosun, K Aydin, M Bilgili - Alexandria Engineering Journal, 2016 - Elsevier
This study deals with usage of linear regression (LR) and artificial neural network (ANN)
modeling to predict engine performance; torque and exhaust emissions; and carbon …

Performance and exhaust emissions prediction of a CRDI assisted single cylinder diesel engine coupled with EGR using artificial neural network

S Roy, R Banerjee, PK Bose - Applied energy, 2014 - Elsevier
The present study explores the potential of artificial neural network to predict the
performance and exhaust emissions of an existing single cylinder four-stroke CRDI engine …

Prediction of performance and exhaust emissions of a diesel engine fueled with biodiesel produced from waste frying palm oil

M Canakci, AN Ozsezen, E Arcaklioglu… - Expert systems with …, 2009 - Elsevier
Biodiesel is receiving increasing attention each passing day because of its fuel properties
and compatibility with the petroleum-based diesel fuel (PBDF). Therefore, in this study, the …

Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends

HM Ismail, HK Ng, CW Queck, S Gan - Applied energy, 2012 - Elsevier
This paper reports an artificial neural networks (ANN) modelling programme for a light-duty
diesel engine powered using blends of various biodiesel fuels with conventional fossil …

Application of artificial neural network to predict specific fuel consumption and exhaust temperature for a diesel engine

A Parlak, Y Islamoglu, H Yasar, A Egrisogut - Applied Thermal Engineering, 2006 - Elsevier
The ability of an artificial neural network model, using a back propagation learning
algorithm, to predict specific fuel consumption and exhaust temperature of a Diesel engine …

Artificial neural network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different …

PS Pai, BRS Rao - Applied Energy, 2011 - Elsevier
Due to the increasing demand for fossil fuels and environmental threat due to pollution a
number renewable sources of energy have been studied worldwide. In the present …

Engine combustion system optimization using computational fluid dynamics and machine learning: a methodological approach

JA Badra, F Khaled, M Tang… - Journal of …, 2021 - asmedigitalcollection.asme.org
Gasoline compression ignition (GCI) engines are considered an attractive alternative to
traditional spark-ignition and diesel engines. In this work, a Machine Learning-Grid Gradient …

Prediction of torque and specific fuel consumption of a gasoline engine by using artificial neural networks

NK Togun, S Baysec - Applied Energy, 2010 - Elsevier
This study presents an artificial neural network (ANN) model to predict the torque and brake
specific fuel consumption of a gasoline engine. An explicit ANN based formulation is …

Experimental and numerical consideration of the effect of CeO2 nanoparticles on diesel engine performance and exhaust emission with the aid of artificial neural …

HS Saraee, H Taghavifar, S Jafarmadar - Applied Thermal Engineering, 2017 - Elsevier
Reduction of exhaust emission and fuel consumption is one of the most important
challenges in the engine communities. One of the methods to overcome the issue is …