Machine learning (ML) methods has recently contributed very well in the advancement of the
prediction models used for energy consumption. Such models highly improve the accuracy …

In China, about one-third of the land area is over 2000 m, and a large number of equipments
using diesel engines are operating in these areas. In order to optimizate the performance …

The present study surveys the effects on performance and emission parameters of a partially
modified single cylinder direct injection (DI) diesel engine fueled with diesohol blends under …

This paper investigates use of artificial neural network (ANN) model in prediction of brake
specific energy consumption (BSEC), nitrogen oxides (NO x), unburnt hydrocarbon (UHC) …

The temperature dependencies of the thermophysical properties of different hybrid
nanofluids have been investigated in the present work. Laboratory experiments were …

The operating mode of reactivity-controlled compression ignition appears as an effective
technique for improving the engine's efficiency and emission reduction. This study …

This paper deals with the study on the influence of the effects of iron oxide nanoparticle
additives when added to ternary fuel (diesel+ mahua methyl ester+ pentanol) on the …

To further improve the energy conversion efficiency of internal combustion engine, the
transient and complex air flow movement inside the cylinder needs to be better understood …

The study explores the affectability of oxygenated fuel on the performances and exhaust
emissions of adulterated Diesel fueled engine. Diesel adulteration decreases brake thermal …

This paper deals with analysis of the influence of fuel injection pressure with ternary fuel
(diesel+ Mahua methyl ester+ Pentanol) on the emission, combustion and performance …