Error Quantification of the Arrhenius Blending Rule for Viscosity of Hydrocarbon Mixtures

Boehm, Randall C; Hauck, Franchesca; Yang, Zhibin; Wanstall, C. Taber; Heyne, Joshua; United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment; University of Dayton. Department of Mechanical and Aerospace Engineering

doi:10.3389/fenrg.2022.1074699

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Error Quantification of the Arrhenius Blending Rule for Viscosity of Hydrocarbon Mixtures

2022-12-01
By Boehm, Randall C ; Hauck, Franchesca ; Yang, Zhibin ; ...

[PDF-1.39 MB]

English

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Creators:

Boehm, Randall C ; Hauck, Franchesca ; Yang, Zhibin ; Wanstall, C. Taber ; Heyne, Joshua

Boehm, Randall C ; Hauck, Franchesca ; Yang, Zhibin ; Wanstall, C. Taber ; Heyne, Joshua Less -
Corporate Creators:

United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; University of Dayton. Department of Mechanical and Aerospace Engineering

United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; University of Dayton. Department of Mechanical and Aerospace Engineering Less -
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Office of Environment and Energy
Subject/TRT Terms:

[+]

ASCENT Aviation Fuels Chemical Composition Composition-based Property Prediction Low Temperature Sustainable Transportation Viscosity
Publication/ Report Number:

fenrg-10-1074699
DOI:

https://doi.org/10.3389/fenrg.2022.1074699
Resource Type:

Journal Article
Right Statement:

Open Access; https://creativecommons.org/licenses/by-nc-nd/4.0/
Geographical Coverage:

United States
Contracting Officer:

Lobo, Prem
Corporate Publisher:

Frontiers in Energy Research
Abstract:

Six hundred and seventy-five measurements of dynamic viscosity and density have been used to assess the prediction error of the Arrhenius blending rule for kinematic viscosity of hydrocarbon mixtures. Major trends within the data show that mixture complexity–binary to hundreds of components—and temperature are more important determinants of prediction error than differences in molecular size or hydrogen saturation between the components of the mixtures.
Content Notes:

This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license https://creativecommons.org/licenses/by/4.0/. Please cite this article as: Boehm RC, Hauck F, Yang Z, Wanstall CT and Heyne JS (2022), Error quantification of the Arrhenius blending rule for viscosity of hydrocarbon mixtures. Front. Energy Res. https://doi.org/10.3389/fenrg.2022.1074699
Format:

PDF
Funding:

13-C-AJFE-UD-26
Collection(s):

Federal Aviation Administration
Main Document Checksum:

[+]

urn:sha256:1f4fe60672fbc5d21e601f09fe38e9fc31d8e57384fd3ef803283d9dbd14f29d
Download URL:

https://rosap.ntl.bts.gov/view/dot/68092/dot_68092_DS1.pdf
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Error Quantification of the Arrhenius Blending Rule for Viscosity of Hydrocarbon Mixtures

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