Entropy scaling based viscosity predictions for hydrocarbon mixtures and diesel fuels up to extreme conditions
Abstract
An entropy scaling based technique using the Perturbed-Chain Statistical Associating Fluid Theory is described for predicting the viscosity of hydrocarbon mixtures and diesel fuels up to high temperatures and high pressures. The compounds found in diesel fuels or hydrocarbon mixtures are represented as a single pseudo-component. The model is not fit to viscosity data but is predictive up to high temperatures and pressures with input of only two...
Paper Details
Title
Entropy scaling based viscosity predictions for hydrocarbon mixtures and diesel fuels up to extreme conditions
Published Date
Apr 1, 2019
Journal
Volume
241
Pages
1203 - 1213
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