Machine Learning Moment Closures for Accurate and Efficient Simulation of Polydisperse Evaporating Sprays-Reference-Cited by-同舟云学术

Machine Learning Moment Closures for Accurate and Efficient Simulation of Polydisperse Evaporating Sprays

Published:2021-01-04 Issue: Volume: Page:
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Container-title:AIAA Scitech 2021 Forum
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Author:

Scoggins James B.¹,Han Jiequn²,Massot Marc¹

Affiliation:

1. École Polytechnique

2. Princeton University

Publisher

American Institute of Aeronautics and Astronautics

Reference23 articles.

1. A model for the injection boundary conditions in the context of 3D simulation of Diesel Spray: Methodology and validation

2. Kah, D. “Taking into account polydispersity in the framework of a coupled Euler-Lagrange approach for the modeling of liquid fuel injection in internal combustion engines,” Ph.D. thesis,Ecole Centrale de Paris, 2010. Available from: http://tel.archives-ouvertes.fr/tel-00618786/en/.

3. Accounting for Polydispersion in the Eulerian Large Eddy Simulation of the Two-Phase Flow in an Aeronautical-type Burner

4. Eulerian multi-fluid models for the simulation of dynamics and coalescence of particles in solid propellant combustion

5. Spray Combustion and Atomization

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