A review on recent progress in computational and empirical studies of compression ignition internal combustion engine

S Salam, T Choudhary, A Pugazhendhi, TN Verma… - Fuel, 2020 - Elsevier
The use of biodiesel as an alternative fuel in the pursuit of renewable and sustainable
energy has raised new technological, economic and environmental concerns. Although it …

Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms

MS Bakay, Ü Ağbulut - Journal of Cleaner Production, 2021 - Elsevier
Today, the world's primary energy demand has been met by the burning of fossil-based fuels
at a rate of 85%. This dominant use of fossil-based fuels has led to an accelerating increase …

Experimental investigation and prediction of performance and emission responses of a CI engine fuelled with different metal-oxide based nanoparticles–diesel blends …

Ü Ağbulut, AE Gürel, S Sarıdemir - Energy, 2021 - Elsevier
Abstract Deep learning (DL), Artificial Neural Network (ANN), Kernel Nearest Neighbor (k-
NN), and Support Vector Machine (SVM) have been applied to numerous fields owing to …

Artificial neural networks application on friction factor and heat transfer coefficients prediction in tubes with inner helical-finning

AN Skrypnik, AV Shchelchkov, YF Gortyshov… - Applied Thermal …, 2022 - Elsevier
A study presents new model of the artificial neural network to predict friction factor and heat
transfer coefficients for the turbulent flow in tubes with inner helical-finning. A fin geometry …

Prediction of performance, combustion and emission characteristics for a CI engine at varying injection pressures

Ü Ağbulut, M Ayyıldız, S Sarıdemir - Energy, 2020 - Elsevier
This paper deals with artificial neural network (ANN) modelling of a diesel engine using
cottonseed methyl-ester (CME) to predict brake specific fuel consumption (BSFC), maximum …

[HTML][HTML] Experimental and empirical investigation of a CI engine fuelled with blends of diesel and roselle biodiesel

TN Verma, U Rajak, A Dasore, A Afzal, AM Manokar… - Scientific Reports, 2021 - nature.com
The continuous rise in demand, combined with the depletion of the world's fossil fuel
reserves, has forced the search for alternative fuels. The biodiesel produced from Roselle is …

Experimental and empirical analysis of an IC engine operating with ternary blends of diesel, karanja and roselle biodiesel

P Shrivastava, S Salam, TN Verma, OD Samuel - Fuel, 2020 - Elsevier
In the present study biodiesel is derived from karanja and roselle oil by transesterification
process and different ternary blends is prepared with conventional diesel fuel with different …

Artificial neural networks model for predicting the behavior of different injection pressure characteristics powered by blend of biofuel‐nano emulsion

PV Elumalai, R Krishna Moorthy… - Energy Science & …, 2022 - Wiley Online Library
This investigation deals with the usage of graphene oxide (GO) nanoparticles with orange
peel biodiesel in a conventional CI engine. The different fuel blends used for this experiment …

Applying artificial neural networks for systematic estimation of degree of fouling in heat exchangers

E Davoudi, B Vaferi - Chemical Engineering Research and Design, 2018 - Elsevier
Deposition of undesired materials on the heat transfer surface is one the most challenging
problems for application of heat exchangers. Experimental measurements of degree of …

[HTML][HTML] Management of heat transfer and hydraulic characteristics of a micro-channel heat sink with various arrangements of rectangular vortex generators utilizing …

X Liang, NB Kumar, IB Mansir, PK Singh… - Case Studies in Thermal …, 2023 - Elsevier
It is common to use micro-channel heat sinks (MCHSs) in equipment such as; ICs,
transistors, LEDs, and high-power lasers, which generate heat due to the passage of electric …