Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Predicting the physical properties of biodiesel for combustion modeling
W. Yuan,
A. C. Hansen
, Q. Zhang
Agricultural and Biological Engineering
Carl R. Woese Institute for Genomic Biology
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Predicting the physical properties of biodiesel for combustion modeling'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Biodiesel
66%
Biodiesel Combustion
33%
Biodiesel Properties
100%
Combustion Chamber
66%
Combustion Model
33%
Combustion Modeling
100%
Combustion Process
33%
Fuel Properties
33%
High Temperature
33%
Latent Heat of Vaporization
33%
Liquid Viscosity
33%
Physical Properties
100%
Prediction Accuracy
33%
Published Data
66%
Relative Comparison
33%
Spray Atomization
33%
Spray Combustion
33%
Surface Tension
33%
Vapor Pressure
33%
Engineering
Accurate Prediction
20%
Atomisation
20%
Biodiesel
100%
Combustion
20%
Combustion Chamber
40%
Combustion Event
20%
Combustion Modeling
100%
Early Phase
20%
Latent Heat
20%
Liquid Viscosity
20%
Predicted Result
20%
Surface Density
20%
Tension Surface
20%
Vaporization
20%
Chemical Engineering
Atomizer Nozzle
100%
Combustion
100%
Latent Heat
100%