Aviation Turbine Fuel Thermal Conductivity: A Predictive Approach Using Entropy Scaling-Guided Machine Learning with Experimental Validation-Reference-Cited by-同舟云学术

Aviation Turbine Fuel Thermal Conductivity: A Predictive Approach Using Entropy Scaling-Guided Machine Learning with Experimental Validation

Published:2021-10-21 Issue:43 Volume:6 Page:28579-28586
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Malatesta William Anthony¹^ORCID,Yang Bao²

Affiliation:

1. Propulsion and Power Department, Naval Air Systems Command, 48298 Shaw Rd, Bldg 1461, Patuxent River, Maryland 20670, United States

2. Center for Environmental Energy Engineering, Department of Mechanical Engineering, University of Maryland, College Park, Maryland 20742, United States

Funder

Division of Chemical, Bioengineering, Environmental, and Transport Systems

Naval Air Systems Command

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.1c02934

Reference39 articles.

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2. Thermal consideration of generators in high-speed aircraft

3. Pfahler, D. Air Force Power Requirements; United States Air Force; Air Force Research Laboratory Power Division: Dayton, OH, 2006; Vol. 7.

4. The Electronic Packaging Series;McCluskey F. P.,1997

5. Tank Heating Model for Aircraft Fuel Thermal Systems with Recirculation

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