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Spray characteristics of diesel, biodiesel, polyoxymethylene dimethyl ethers blends and prediction of spray tip penetration using artificial neural network
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/er.939openalex-snapshot
Development and validation of a comprehensive two-zone model for combustion and emissions formation in a DI diesel engine
inferredcites →https://doi.org/10.1016/j.apenergy.2017.08.206openalex-snapshot
Combustion and emission characteristics of diesel engine fueled with biodiesel/PODE blends
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Improvement of combustion performance and emissions in diesel engines by fueling n-butanol/diesel/PODE3–4 mixtures
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Spray characteristics of gasoline/PODE and diesel/PODE blends in a constant volume chamber
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Flue gas-to-ash desulfurization of combustion of textile dyeing sludge: Its dependency on temperature, lignocellulosic residue, and CaO
inferredcites →https://doi.org/10.1016/j.enconman.2014.09.027openalex-snapshot
Effect of biodiesel blends on engine performance and exhaust emission for diesel dual fuel engine
inferredcites →https://doi.org/10.1016/j.enconman.2017.09.038openalex-snapshot
Improvement of emission characteristics and maximum pressure rise rate of diesel engines fueled with n-butanol/PODE3-4/diesel blends at high injection pressure
inferredcites →https://doi.org/10.1016/j.enconman.2019.01.031openalex-snapshot
Pyrolytic kinetics, reaction mechanisms and products of waste tea via TG-FTIR and Py-GC/MS
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Pyrolysis of water hyacinth biomass parts: Bioenergy, gas emissions, and by-products using TG-FTIR and Py-GC/MS analyses
inferredcites →https://doi.org/10.1016/j.energy.2019.06.069openalex-snapshot
Experiment and analysis of spray characteristics of biodiesel blending with di-n-butyl ether in a direct injection combustion chamber
inferredcites →https://doi.org/10.1016/j.energy.2021.121920openalex-snapshot
Experimental study on the spray characteristics of octanol diesel and prediction of spray tip penetration by ANN model
inferredcites →https://doi.org/10.1016/j.expthermflusci.2021.110528openalex-snapshot
Experiment and analysis on the spray characteristics of diesel/polyoxymethylene dimethyl ethers (PODE)/ethanol blends in non-reacting environment
inferredcites →https://doi.org/10.1016/j.fuel.2004.12.003openalex-snapshot
Characterisation of very high pressure diesel sprays using digital imaging techniques
inferredcites →https://doi.org/10.1016/j.fuel.2015.04.041openalex-snapshot
Microscopic imaging of the initial stage of diesel spray formation
inferredcites →https://doi.org/10.1016/j.fuel.2016.08.082openalex-snapshot
Effect of polyoxymethylene dimethyl ethers addition on spray and atomization characteristics using a common rail diesel injection system
inferredcites →https://doi.org/10.1016/j.fuel.2016.12.045openalex-snapshot
Investigation on partially premixed combustion fueled with gasoline and PODE blends in a multi-cylinder heavy-duty diesel engine
inferredcites →https://doi.org/10.1016/j.fuel.2017.07.066openalex-snapshot
Combustion and emission characteristics of a direct injection diesel engine fueled with biodiesel and PODE/biodiesel fuel blends
inferredcites →https://doi.org/10.1016/j.fuel.2018.10.146openalex-snapshot
Experimental study on the spray and mixing characteristics for equilateral triangular and circular nozzles with diesel and biodiesel under high injection pressures
inferredcites →https://doi.org/10.1016/j.fuel.2018.12.081openalex-snapshot
Effect of diesel-biodiesel-ethanol blends on the spray macroscopic parameters in a common-rail diesel injection system
inferredcites →https://doi.org/10.1016/j.fuel.2019.115674openalex-snapshot
Effect of injection pressure and ambient density on spray characteristics of diesel and biodiesel surrogate fuels
inferredcites →https://doi.org/10.1016/j.fuel.2020.117472openalex-snapshot
Performance and emission prediction of a compression ignition engine fueled with biodiesel-diesel blends: A combined application of ANN and RSM based optimization
inferredcites →https://doi.org/10.1016/j.fuel.2020.117691openalex-snapshot
Optical study on spray combustion characteristics of PODE/diesel blends in different ambient conditions
inferredcites →https://doi.org/10.1016/j.fuel.2020.118988openalex-snapshot
Thermodynamics, kinetics, gas emissions and artificial neural network modeling of co-pyrolysis of sewage sludge and peanut shell
inferredcites →https://doi.org/10.1016/j.ijthermalsci.2010.07.010openalex-snapshot
Analysis of combustion, performance and emission characteristics of low heat rejection engine using biodiesel
inferredcites →https://doi.org/10.1016/j.jhazmat.2020.123190openalex-snapshot
CO2-assisted co-pyrolysis of textile dyeing sludge and hyperaccumulator biomass: Dynamic and comparative analyses of evolved gases, bio-oils, biochars, and reaction mechanisms
inferredcites →https://doi.org/10.1016/j.jhazmat.2020.123276openalex-snapshot
Comparative (co-)pyrolytic performances and by-products of textile dyeing sludge and cattle manure: Deeper insights from Py-GC/MS, TG-FTIR, 2D-COS and PCA analyses
inferredcites →https://doi.org/10.1016/j.jhazmat.2020.123331openalex-snapshot
Synergistic effects, gaseous products, and evolutions of NOx precursors during (co-)pyrolysis of textile dyeing sludge and bamboo residues
inferredcites →https://doi.org/10.1016/j.jhazmat.2020.123968openalex-snapshot
Coupled mechanisms of reaction kinetics, gas emissions, and ash mineral transformations during combustion of AlCl3-conditioned textile dyeing sludge
inferredcites →https://doi.org/10.1016/j.jhazmat.2021.125334openalex-snapshot
Do FeCl3 and FeCl3/CaO conditioners change pyrolysis and incineration performances, emissions, and elemental fates of textile dyeing sludge?
inferredcites →https://doi.org/10.1016/j.jhazmat.2021.128069openalex-snapshot
Co-combustion, life-cycle circularity, and artificial intelligence-based multi-objective optimization of two plastics and textile dyeing sludge
inferredcites →https://doi.org/10.1016/j.proci.2016.05.058openalex-snapshot
Speciation and the laminar burning velocities of poly(oxymethylene) dimethyl ether 3 (POMDME3) flames: An experimental and modeling study
inferredcites →https://doi.org/10.1016/j.renene.2010.09.021openalex-snapshot
Effect of diethyl ether and ethanol additives on the combustion and emission characteristics of biodiesel-diesel blended fuel engine
inferredcites →https://doi.org/10.1016/j.renene.2017.10.101openalex-snapshot
Prediction of cyclic variability in a diesel engine fueled with n-butanol and diesel fuel blends using artificial neural network
inferredcites →https://doi.org/10.1016/j.renene.2019.06.044openalex-snapshot
A comparative study on methanol/diesel and methanol/PODE dual fuel RCCI combustion in an automotive diesel engine
inferredcites →https://doi.org/10.1016/j.renene.2020.09.044openalex-snapshot
Optimizing bioenergy and by-product outputs from durian shell pyrolysis
inferredcites →https://doi.org/10.1016/j.renene.2021.02.069openalex-snapshot
Evaluation of reaction mechanisms and emissions of oily sludge and coal co-combustions in O2/CO2 and O2/N2 atmospheres
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.142293openalex-snapshot
Pyrolysis characteristics, artificial neural network modeling and environmental impact of coal gangue and biomass by TG-FTIR
inferredcites →https://doi.org/10.1021/acs.energyfuels.8b04469openalex-snapshot
Experimental and Numerical Study on Autoignition Characteristics of the Polyoxymethylene Dimethyl Ether/Diesel Blends
inferredcites →https://doi.org/10.1061/(asce)ey.1943-7897.0000536openalex-snapshot
Experimental Study on Single-Hole Injection of Kerosene into Pressurized Quiescent Environments
inferredcites →https://doi.org/10.1063/1.5126498openalex-snapshot
Spray droplet size distribution and droplet velocity measurements in a firing optical engine
inferredcites →https://doi.org/10.1063/5.0025138openalex-snapshot
Artificial neural network-based nonlinear algebraic models for large eddy simulation of turbulence
inferredcites →https://doi.org/10.1063/5.0027524openalex-snapshot
Modeling of sub-grid conditional mixing statistics in turbulent sprays using machine learning methods
inferredcites →https://doi.org/10.1063/5.0028877openalex-snapshot
A lower-dimensional approximation model of turbulent flame stretch and its related quantities with machine learning approaches
inferredcites →https://doi.org/10.1063/5.0031144openalex-snapshot
Solving the population balance equation for non-inertial particles dynamics using probability density function and neural networks: Application to a sooting flame
inferredcites →https://doi.org/10.1063/5.0054098openalex-snapshot
Simulation of high pressure, direct injection processes of gaseous fuels by a density-based OpenFOAM solver
inferredcites →https://doi.org/10.1063/5.0063572openalex-snapshot
Experimental study on spray characteristics of octanol biodiesel and modification of spray tip penetration model
inferredcites →https://doi.org/10.1177/0957650918787375openalex-snapshot
Experimental investigations of kerosene sprays in pressurized evaporating environments
inferredcites →https://doi.org/10.3390/en11092410openalex-snapshot
Artificial Neural Network Modeling and Sensitivity Analysis of Performance and Emissions in a Compression Ignition Engine Using Biodiesel Fuel
inferredcites →https://doi.org/10.3390/en13092276openalex-snapshot
Macroscopic Spray Behavior of a Single-Hole Common Rail Diesel Injector Using Gasoline-Blended 5% Biodiesel
inferredcites →https://doi.org/10.4271/960034openalex-snapshot
Effects of Gas Density and Vaporization on Penetration and Dispersion of Diesel Sprays
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4639654openalex-extracted
Derivation of a Universal Constant Set in the Kelvin-Helmholtz Rayleigh-Taylor (Kh-Rt) Breakup Model for Spray Simulations of Various Fuels Under Wide Conditions
inferred← citeshttps://doi.org/10.1007/s10765-025-03506-8openalex-snapshot
Densities and Viscosities of Polyoxymethylene Dimethyl Ether with Methyl Decanoate, Methyl Dodecanoate, and Methyl Tetradecanoate
inferred← citeshttps://doi.org/10.1007/s12206-024-0336-1openalex-snapshot
Experimental and numerical investigation on spray characteristics of biodiesel/methanol blends in a constant volume chamber
inferred← citeshttps://doi.org/10.1007/s42452-026-08282-0openalex-snapshot
Podocarpus falcatus as a next-generation biodiesel feedstock: comparative insights with Jatropha curcas on oil yield, production, properties, and spray behavior
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inferred← citeshttps://doi.org/10.1016/j.combustflame.2024.113850openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.egyai.2024.100443openalex-snapshot
Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network
inferred← citeshttps://doi.org/10.1016/j.energy.2024.130515openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2024.133732openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2025.137661openalex-snapshot
An improved Kelvin-Helmholtz Rayleigh-Taylor (KH-RT) breakup model with wide fuel applicability based on data-driven techniques
inferred← citeshttps://doi.org/10.1016/j.energy.2026.142585openalex-snapshot
A unified framework for experimental characterization, empirical correlation evaluation, and interpretable prediction of cross-fuel liquid-phase sprays
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111841openalex-snapshot
Application of artificial neural networks to model macroscopic spray characteristics of alcohol fuels
inferred← citeshttps://doi.org/10.1016/j.fuel.2024.131980openalex-snapshot
Advancing Fuel Spray Characterization: A Machine Learning Approach for Directly Injected Gasoline Fuel Sprays
inferred← citeshttps://doi.org/10.1016/j.fuel.2025.135361openalex-snapshot
Visualization study on the effects of water addition on microscopic and macroscopic spray characteristics of methanol with high-pressure direct injection
inferred← citeshttps://doi.org/10.1016/j.fuel.2025.136736openalex-snapshot
Data-driven prediction of spray macroscopic characteristics for marine injectors using neural networks
inferred← citeshttps://doi.org/10.1016/j.fuel.2026.141532openalex-snapshot
Co-evaluation of spray kinematics and ignition behaviour: The feasibility of biofuels as direct substitutes for RP-3
inferred← citeshttps://doi.org/10.1016/j.joei.2024.101845openalex-snapshot
Optical test devices and methods for internal combustion engines and optical studies on spray combustion characteristics for three different alternative fuels: A review
inferred← citeshttps://doi.org/10.1016/j.jtte.2024.04.003openalex-snapshot
Spray, droplet evaporation, combustion, and emission characteristics of future transport fuels for compression-ignition engines: A review
inferred← citeshttps://doi.org/10.1016/j.pecs.2024.101173openalex-snapshot
Potential of oxymethylene ethers as renewable diesel substitute
inferred← citeshttps://doi.org/10.1016/j.renene.2024.122232openalex-snapshot
Optical study on spray and combustion characteristics of diesel/methyl heptanoate blend fuels
inferred← citeshttps://doi.org/10.1016/j.renene.2025.124638openalex-snapshot
Predictive modeling of spray characteristics in RP-3/n-butanol hybrid fuel: a backpropagation neural networks approach based on experimental data-driven method
inferred← citeshttps://doi.org/10.1016/j.seta.2026.105402openalex-snapshot
From residual learning to explicit correlation revision: An interpretable machine learning framework for cross-fuel spray penetration prediction
inferred← citeshttps://doi.org/10.1021/acs.iecr.3c02845openalex-snapshot
Inhibitory Effects of Convergent Annular Nozzles on the Primary Breakup of Discontinuous Shear-Thickening Suspensions
inferred← citeshttps://doi.org/10.1061/jleed9.eyeng-4616openalex-snapshot
Experimental and Theoretical Analysis of Spray Characteristics of Biodiesel Blends with Diethyl Carbonate in a Common-Rail Injection System
inferred← citeshttps://doi.org/10.1063/5.0091830openalex-snapshot
Numerical examination of high-pressure fuel injection in common rail injector based on hydro-mechanical model
inferred← citeshttps://doi.org/10.1063/5.0099848openalex-snapshot
Collaborative mechanism of the plume expansion and fluctuations in the near-field under non-flash and flash conditions
inferred← citeshttps://doi.org/10.1063/5.0135716openalex-snapshot
Physical Asymptotic-Solution nets: Physics-driven neural networks solve seepage equations as traditional numerical solution behaves
inferred← citeshttps://doi.org/10.1063/5.0138289openalex-snapshot
Macaroni-type breakup in the primary breakup of discontinuous shear-thickening suspension
inferred← citeshttps://doi.org/10.1063/5.0140753openalex-snapshot
Numerical and experimental study of the effects of tangential to axial velocity ratio and structural parameters inside the nozzle on spray characteristics
inferred← citeshttps://doi.org/10.1063/5.0159979openalex-snapshot
Experimental and modeling analysis of the transient spray characteristics of cyclopentane at sub- and transcritical conditions using a machine learning approach
inferred← citeshttps://doi.org/10.1063/5.0174971openalex-snapshot
Characteristics and mechanism of spray deviation of ethanol and its blended fuel in multi-hole spray
inferred← citeshttps://doi.org/10.1063/5.0206175openalex-snapshot
Microscopic spray characteristics of diethyl ether–diesel blends under single and split injection strategies
inferred← citeshttps://doi.org/10.1080/00102202.2022.2056413openalex-snapshot
Spray characteristics of biodiesel-polyoxymethylene dimethyl ethers (PODE) blends in a constant volume chamber
inferred← citeshttps://doi.org/10.1115/1.4063202openalex-snapshot
Macroscopic and Microscopic Spray Characteristics of Dimethyl Ether in a Constant Volume Spray Chamber Using a Mechanical Fuel Injection System for Automotive Applications
inferred← citeshttps://doi.org/10.1177/14680874241235694openalex-snapshot
Optical study on a heavy-duty natural gas dual-fuel engine applying POMDME as pilot fuel
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Interpretable tree-based ensemble models for macroscopic characterization of biofuel sprays
inferred← citeshttps://doi.org/10.1615/atomizspr.2024052328openalex-snapshot
DEVELOPMENT OF A UNIVERSAL CONSTANT SET IN THE KELVIN-HELMHOLTZ RAYLEIGH-TAYLOR (KH-RT) BREAKUP MODEL FOR SPRAY SIMULATIONS OF VARIOUS FUELS
inferred← citeshttps://doi.org/10.4271/2023-01-0302openalex-snapshot
Optical Investigation of the Diesel Spray Characteristics and Spray Geometry Prediction Model by Artificial Neural Network
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Prediction of Spray Vapor Tip Penetration of Diesel, Biodiesel and Synthetic Fuels Using Artificial Neural Networks with Confidence Intervals
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