The production of biodiesel from safflower (Carthamus tinctorius L.) oil as a potential feedstock and its usage in compression ignition engine: A comprehensive review

MK Yesilyurt, C Cesur, V Aslan, Z Yilbasi - Renewable and Sustainable …, 2020 - Elsevier
Nowadays, energy consumption is progressively boosting in all sectors because of the rising
in population and enhancing lifestyle. The dependency over fossil-based fuels has been …

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 …

Prediction of overall characteristics of a dual fuel CI engine working on low-density ethanol and diesel blends at varying compression ratios

A Dasore, U Rajak, M Panchal, VN Reddy… - Arabian Journal for …, 2022 - Springer
In the present study, the overall characteristics of CI engine are assessed when it is fuelled
with low-density ethanol and diesel blends. The percentages of ethanol mixed with DF are 5 …

Optimizing biodiesel production from abundant waste oils through empirical method and grey wolf optimizer

OD Samuel, MO Okwu, OJ Oyejide, E Taghinezhad… - Fuel, 2020 - Elsevier
The failure of classical techniques and algorithms have triggered researchers to search for
stochastic tools capably of exploring the search space with constant convergence speed …

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 …

Prediction of viscosity of biodiesel blends using various artificial model and comparison with empirical correlations

Y Zheng, MS Shadloo, H Nasiri, A Maleki… - Renewable Energy, 2020 - Elsevier
From the perspective of renewability and environmental pollution, biodiesels are appropriate
alternatives to conventional diesel fuels due to their proper combustion behavior and …

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 yield and properties optimization from Kusum oil by RSM

HS Pali, A Sharma, N Kumar, Y Singh - Fuel, 2021 - Elsevier
Biodiesel proved its existence as a superior alternative fuel for CI engines. But
commercialization of biodiesel as a fuel is restricted its demand as compared to diesel fuel …

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 …

Reducing diesel exhaust emissions by optimisation of alcohol oxygenates blend with diesel/biodiesel

NH Razak, H Hashim, NA Yunus, JJ Klemeš - Journal of Cleaner …, 2021 - Elsevier
Biodiesel is substantially found to reduce carbon dioxides, hazardous particulate matter but
increasing anthropogenic nitrogen oxides (NO x) emissions. Fuel blending with alcohol …