Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions
A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels
Biodiesel has been emerging as a potential and promising biofuel for the strategy of
reducing toxic emissions and improving engine performance. Computational methods …
reducing toxic emissions and improving engine performance. Computational methods …
[HTML][HTML] Review of artificial neural networks for gasoline, diesel and homogeneous charge compression ignition engine
In automotive applications, artificial neural network (ANN) is now considered as a favorable
prediction tool. Since it does not need an understanding of the system or its underlying …
prediction tool. Since it does not need an understanding of the system or its underlying …
Experimental investigation on the performance, combustion and exhaust emission characteristics of a compression-ignition engine fueled with cottonseed oil biodiesel …
MK Yesilyurt, M Aydin - Energy Conversion and Management, 2020 - Elsevier
The objective of the present study refers to the examination of a diesel engine characteristics
for various fractions of diethyl ether (DEE) as an oxygenated fuel additive in cottonseed oil …
for various fractions of diethyl ether (DEE) as an oxygenated fuel additive in cottonseed oil …
Proportional impact prediction model of animal waste fat-derived biodiesel by ANN and RSM technique for diesel engine
Instead of many experimental studies made for the suitability of biodiesel for use in diesel
engine, it has become easier to determine by fewer experiments with the development of …
engine, it has become easier to determine by fewer experiments with the development of …
Performance and emission prediction of a compression ignition engine fueled with biodiesel-diesel blends: A combined application of ANN and RSM based …
In the present study, the performance and emission parameters of a single cylinder diesel
engine powered by biodiesel-diesel fuel blends were predicted by Artificial Neural Network …
engine powered by biodiesel-diesel fuel blends were predicted by Artificial Neural Network …
Optimization of diesel engine operating parameters fueled with palm oil-diesel blend: Comparative evaluation between response surface methodology (RSM) and …
S Uslu - Fuel, 2020 - Elsevier
Engine performance and emission characteristics of palm oil-diesel blends tested on single-
cylinder diesel engine by several engine loads and injection advances. Exhaust emissions …
cylinder diesel engine by several engine loads and injection advances. Exhaust emissions …
Synthesis, stability, thermophysical properties and AI approach for predictive modelling of Fe3O4 coated MWCNT hybrid nanofluids
Z Said, P Sharma, LS Sundar, A Afzal, C Li - Journal of Molecular Liquids, 2021 - Elsevier
Stability and thermophysical properties of water-based magnetite (Fe 3 O 4) material coated
on multiwalled carbon nanotubes hybrid nanofluids was investigated. The in-situ growth …
on multiwalled carbon nanotubes hybrid nanofluids was investigated. The in-situ growth …
Investigation of the effects of biodiesel/2-ethylhexyl nitrate (EHN) fuel blends on diesel engine performance and emissions by response surface methodology (RSM)
In this study, the effect of biodiesel (97%, 98%, 99% and 100%) which is a mixture of canola,
safflower and waste vegetable oil blends completed with transesterification and 2-ethylhexyl …
safflower and waste vegetable oil blends completed with transesterification and 2-ethylhexyl …
Comparative study using RSM and ANN modelling for performance-emission prediction of CI engine fuelled with bio-diesohol blends: A fuzzy optimization approach
This present investigation focuses on prediction of engine responses of a single cylinder CI
engine powered by bio-diesohol (diesel-palm biodiesel-ethanol) blends using RSM …
engine powered by bio-diesohol (diesel-palm biodiesel-ethanol) blends using RSM …