Prediction of IC engine performance and emission parameters using machine learning: A review

K Karunamurthy, AA Janvekar, PL Palaniappan… - Journal of Thermal …, 2023 - Springer
The human kind is facing various natural calamities such as Elnino, forest fires, climate
change, etc., due to environmental degradation and pollution. The United Nations has come …

Prediction of engine performance for an alternative fuel using artificial neural network

Y Çay, A Çiçek, F Kara, S Sağiroğlu - Applied Thermal Engineering, 2012 - Elsevier
This study deals with artificial neural network (ANN) modeling to predict the brake specific
fuel consumption, effective power and average effective pressure and exhaust gas …

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 …

Performance and exhaust emissions of a gasoline engine using artificial neural network

C Sayin, HM Ertunc, M Hosoz, I Kilicaslan… - Applied thermal …, 2007 - Elsevier
This study deals with artificial neural network (ANN) modelling of a gasoline engine to
predict the brake specific fuel consumption, brake thermal efficiency, exhaust gas …

Application of statistical approaches in IC engine calibration to enhance the performance and emission Characteristics: A methodological review

TS Kumar, R Vignesh, B Ashok, P Saiteja, A Jacob… - Fuel, 2022 - Elsevier
It is a well-known fact that the automotive industries have predominantly ruled the global
industrial and commercial sectors. However, an increase in the demand for fossil fuels and …

A comparative analysis of exhaust gas temperature based on machine learning models for aviation applications

VE Atasoy, AE Suzer, S Ekici - Journal of Energy …, 2022 - asmedigitalcollection.asme.org
The main objective of this study is to investigate elaborately the relationship between
exhaust gas temperature (EGT) and various operational parameters specific to aero-engine …

Machine learning prediction and optimization of performance and emissions characteristics of IC engine

MB Sanjeevannavar, NR Banapurmath, VD Kumar… - Sustainability, 2023 - mdpi.com
In this work, a study was conducted to investigate the effects of different biodiesel blends
with hydrogen peroxide additive on the performance and emissions of an internal …

Implementation of soft computing techniques in predicting and optimizing the operating parameters of compression ignition diesel engines: State-of-the-art review …

SM More, J Kakati, S Pal… - … of Computing and …, 2022 - asmedigitalcollection.asme.org
Fossil fuels being the primary source of energy to global industrialization and rapid
development are being consumed at an alarming rate, thus creating a dire need to search …

Artificial neural network approach to predicting engine-out emissions and performance parameters of a turbo charged diesel engine

O Özener, L Yüksek, M Özkan - Thermal Science, 2013 - doiserbia.nb.rs
This study details the artificial neural network (ANN) modelling of a diesel engine to predict
the torque, power, brake-specific fuel consumption and pollutant emissions, including …

Analysis of significance of variables in IC engine operation: an empirical methodology

S Salam, TN Verma - Energy Conversion and Management, 2020 - Elsevier
Approaches for studying internal combustion engines have evolved from fundamental
analytical modelling to gross phenomenological studies, then to computational approaches …