A review on low temperature combustion engines: Performance, combustion and emission characteristics
M Krishnamoorthi, R Malayalamurthi, Z He… - … and Sustainable Energy …, 2019 - Elsevier
Low temperature combustion (LTC) is a recent engine technology that can reduce the
oxides of nitrogen (NOx) and soot emissions simultaneously while maintaining higher …
oxides of nitrogen (NOx) and soot emissions simultaneously while maintaining higher …
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 …
State-of-the-art modeling of two-stage auto-ignition: Turbulence, evaporation and chemistry effects
Y Zhang, Q Peng, C Wang, Y Huang, P Zhou… - Energy Conversion and …, 2023 - Elsevier
Internal combustion engines are the dominant power sources in transport, accounting for
significant amounts of fuel consumption and pollutant emissions. Low-temperature …
significant amounts of fuel consumption and pollutant emissions. Low-temperature …
Methane slip reduction of conventional dual-fuel natural gas diesel engine using direct fuel injection management and alternative combustion modes
MT Zarrinkolah, V Hosseini - Fuel, 2023 - Elsevier
Alternative combustion mode and change of spray geometry show potential for methane slip
reduction in a dual fuel diesel-natural gas internal combustion engine. Three combustion …
reduction in a dual fuel diesel-natural gas internal combustion engine. Three combustion …
Comparative study of hybrid architectures integrated with dual-fuel intelligent charge compression ignition engine: A commercial powertrain solution towards carbon …
The dual-fuel intelligent charge compression ignition (ICCI) engine, equipped with double
direct injection systems, can simultaneously improve fuel consumption and gaseous …
direct injection systems, can simultaneously improve fuel consumption and gaseous …
Performance evaluation of diesel–additives ternary fuel blends: An experimental investigation, numerical simulation using hybrid Entropy–TOPSIS method and …
Research in the field of alternative, clean and renewable bio-fuels has increased
dramatically in recent years for performance improvement, emission control and running …
dramatically in recent years for performance improvement, emission control and running …
Exploring the effects of diesel start of injection and water-in-ethanol concentration on a reactivity controlled compression ignition engine
Wet ethanol applications in compression ignition engines may become important in the
coming years due to the possibility of replacing a fossil fuel by a renewable one, with low …
coming years due to the possibility of replacing a fossil fuel by a renewable one, with low …
Emission and performance evaluation of a diesel engine using addition of ethanol to diesel/biodiesel fuel blend
ESC Freitas, LLN Guarieiro, MVI da Silva, KKS Amparo… - Energies, 2022 - mdpi.com
Many countries have adopted the addition of biodiesel to diesel as a way of inserting
renewable content into mineral fuel and making a contribution to the environment. The …
renewable content into mineral fuel and making a contribution to the environment. The …
Experimental investigation on combustion characteristics in dual-fuel dual-injection engine
Dual-injection strategy combined with dual-fuel can provide flexible and instantaneous
blend ratios according to engine demands under different operating conditions …
blend ratios according to engine demands under different operating conditions …
Predicting sooting propensity of oxygenated fuels using artificial neural networks
AG Abdul Jameel - Processes, 2021 - mdpi.com
The self-learning capabilities of artificial neural networks (ANNs) from large datasets have
led to their deployment in the prediction of various physical and chemical phenomena. In the …
led to their deployment in the prediction of various physical and chemical phenomena. In the …