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) …
Application of artificial neural network for internal combustion engines: a state of the art review
AN Bhatt, N Shrivastava - Archives of Computational Methods in …, 2022 - Springer
The automotive industry is facing a crucial time. The transformation from internal combustion
engines to new electrical technologies requires enormous investment, and hence the IC …
engines to new electrical technologies requires enormous investment, and hence the IC …
A machine learning approach for predicting heat transfer characteristics in micro-pin fin heat sinks
Micro-pin fin heat sinks are receiving attention for their use in the thermal management of
high-heat-flux electronics systems since they can help to enhance heat transfer …
high-heat-flux electronics systems since they can help to enhance heat transfer …
Machine learning assisted prediction of exhaust gas temperature of a heavy-duty natural gas spark ignition engine
J Liu, Q Huang, C Ulishney, CE Dumitrescu - Applied Energy, 2021 - Elsevier
Exhaust gas temperature is a key parameter for optimizing engine performance and
emissions. Of particular interest is forecasting the exhaust gas temperature in a diesel …
emissions. Of particular interest is forecasting the exhaust gas temperature in a diesel …
Effect of Al2O3 nanoparticles in biodiesel-diesel-ethanol blends at various injection strategies: Performance, combustion and emission characteristics
H Venu, V Madhavan - Fuel, 2016 - Elsevier
The current experimental work focusses on influence of Alumina (Al 2 O 3) nanoparticle on
various injection strategies. Experiments were conducted with three different injection …
various injection strategies. Experiments were conducted with three different injection …
Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network
G Najafi, B Ghobadian, T Tavakoli, DR Buttsworth… - Applied energy, 2009 - Elsevier
The purpose of this study is to experimentally analyse the performance and the pollutant
emissions of a four-stroke SI engine operating on ethanol–gasoline blends of 0%, 5%, 10 …
emissions of a four-stroke SI engine operating on ethanol–gasoline blends of 0%, 5%, 10 …
Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks
This study was carried out in Esfahan province of Iran. Data were collected from 260 farms in
Fereydonshahr city with face to face questionnaire method. The objective of this study was to …
Fereydonshahr city with face to face questionnaire method. The objective of this study was to …
Machine learning assisted analysis of an ammonia engine performance
Z Liu, J Liu - Journal of Energy Resources …, 2022 - asmedigitalcollection.asme.org
Currently, the interest in utilizing ammonia in internal combustion engines stems from the
trend toward decarbonization, as ammonia is a zero-carbon footprint fuel. Existing studies …
trend toward decarbonization, as ammonia is a zero-carbon footprint fuel. Existing studies …
Performance and exhaust emissions prediction of a CRDI assisted single cylinder diesel engine coupled with EGR using artificial neural network
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 …
performance and exhaust emissions of an existing single cylinder four-stroke CRDI engine …
Performance and exhaust emission prediction of a SI engine fueled with I-amyl alcohol-gasoline blends: an ANN coupled RSM based optimization
S Uslu, MB Celik - Fuel, 2020 - Elsevier
In this study, effects of i-amyl alcohol/gasoline fuel blends on spark ignition (SI) engine
performance and emissions were investigated experimentally, predicted by Artificial Neural …
performance and emissions were investigated experimentally, predicted by Artificial Neural …