A critical review on available models to predict engine fuel properties of biodiesel

KR Bukkarapu, A Krishnasamy - Renewable and Sustainable Energy …, 2022 - Elsevier
The engine fuel properties of biodiesel are required for fuel quality assessment, spray and
combustion modelling studies and engine optimization studies. Experimental measurement …

A comprehensive review of biodiesel property prediction models for combustion modeling studies

A Krishnasamy, KR Bukkarapu - Fuel, 2021 - Elsevier
Among the various alternative fuel options for diesel, biodiesel has emerged as the most
promising fuel because of its renewable origin, availability, biodegradability, high …

Biodiesel density: experimental measurements and prediction models

MJ Pratas, SVD Freitas, MB Oliveira, SC Monteiro… - Energy & …, 2011 - ACS Publications
Density is an important biodiesel parameter, with impact on fuel quality. Predicting density is
of high relevance for a correct formulation of an adequate blend of raw materials that …

Development of empirical correlations for density and viscosity estimation of ternary biodiesel blends

MA Mujtaba, MA Kalam, HH Masjuki, L Razzaq… - Renewable Energy, 2021 - Elsevier
This study aims to investigate the density and viscosity of ternary biodiesel blends. Fuel
density and viscosity play an important role in the fuel injection system, flame propagation …

Effect of biodiesel, biodiesel binary blends, hydrogenated biodiesel and injection parameters on NOx and soot emissions in a turbocharged diesel engine

S Rajkumar, J Thangaraja - Fuel, 2019 - Elsevier
Recent research works show that the biodiesel is one of the most promising renewable and
sustainable fuels for diesel engines because it is biodegradable, oxygenated, sulphur free …

Density and viscosity of biodiesel as a function of temperature: Empirical models

LFR Verduzco - Renewable and Sustainable Energy Reviews, 2013 - Elsevier
Biodiesel is a promising alternative of renewable energy obtained from natural raw material.
This work presents empirical models to predict the density (ρ) and dynamic viscosity (μ) of …

Decyl esters production from soybean-based oils catalyzed by lipase immobilized on differently functionalized rice husk silica and their characterization as potential …

GJ Sabi, RS Gama, R Fernandez-Lafuente… - Enzyme and Microbial …, 2022 - Elsevier
This study aimed the enzymatic decyl esters production by hydroesterification, a two-step
process consisting of hydrolysis of refined soybean (RSBO) or used soybean cooking …

Artificial neural network models to predict density, dynamic viscosity, and cetane number of biodiesel

CI Rocabruno-Valdés, LF Ramírez-Verduzco… - Fuel, 2015 - Elsevier
Biodiesel is considered as an alternative source of energy obtained from renewable
materials. This paper presents models based on artificial neural networks (ANNs) to predict …

A composition based approach to predict density, viscosity and surface tension of biodiesel fuels

S Mishra, KR Bukkarapu, A Krishnasamy - Fuel, 2021 - Elsevier
The variations in biodiesel composition based on the feedstock used for its production result
in significant variations in the fuel properties and thereby, engine characteristics. This …

Kinematic viscosity estimation of fuel oil with comparison of machine learning methods

E Cengiz, M Babagiray, FE Aysal, F Aksoy - Fuel, 2022 - Elsevier
It is known that one of the important parameters affecting the emission and performance
values of the liquid fuels used in thermal machines is the viscosity value. Therefore, many …