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Gibbs energy additivity approaches to QSPR in modeling of high pressure density and kinematic viscosity of FAME and biodiesel
- Source :
- Fuel Processing Technology. 156:385-393
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Density (ρ) and kinematic viscosity (μ) are important physical properties of biodiesel. They are directly affected by both temperature and pressure. Accordingly, models which correlate density and kinematic viscosity of fatty acid methyl ester (FAME) and biodiesel to their carbon numbers, number of double bonds of fatty acid are proposed. Gibbs free energy additivity is used as an alternative approach to quantitative structure-property relationship (QSPR) in estimating density and kinematic viscosity at high temperature and pressure of FAME and biodiesel. It is one of the best models for estimating density of FAME, mixtures of FAMEs or biodiesels and biodiesel blends at different temperatures (283.15–333.15 K) and pressures (0.2–40 MPa). For kinematic viscosity, the model is simply derived from the sum (or subtraction) of the Gibbs energies of dynamic viscous flow and volumetric expansion. Thus, this is the first model proposed for prediction of kinematic viscosity of FAME and biodiesel ay different temperatures and pressures. Because there is no experimental value in the literature, the accuracy of the model is tested against the experimental density and experimental dynamic viscosity (η) via the classical equation (μ = η/ρ).
- Subjects :
- Quantitative structure–activity relationship
Biodiesel
020209 energy
General Chemical Engineering
Relative viscosity
Energy Engineering and Power Technology
Thermodynamics
02 engineering and technology
Gibbs free energy
symbols.namesake
chemistry.chemical_compound
Fuel Technology
020401 chemical engineering
chemistry
Additive function
High pressure
Viscous flow
0202 electrical engineering, electronic engineering, information engineering
symbols
Physics::Chemical Physics
0204 chemical engineering
Fatty acid methyl ester
Subjects
Details
- ISSN :
- 03783820
- Volume :
- 156
- Database :
- OpenAIRE
- Journal :
- Fuel Processing Technology
- Accession number :
- edsair.doi...........90a5745670f2b39359d11b087f300b78
- Full Text :
- https://doi.org/10.1016/j.fuproc.2016.09.025