Application of machine learning in low-order manifold representation of chemistry in turbulent flames-Reference-Cited by-同舟云学术

Application of machine learning in low-order manifold representation of chemistry in turbulent flames

Published:2022-12-08 Issue:1 Volume:27 Page:83-102
ISSN:1364-7830
Container-title:Combustion Theory and Modelling
language:en
Short-container-title:Combustion Theory and Modelling

Author:

Mousemi Arash¹^ORCID,Jadidi Mehdi²,Dworkin Seth B.²,Bushe W. Kendal¹

Affiliation:

1. Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada;

2. Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, Toronto, Canada

Funder

Natural Sciences and Engineering Research Council

Canada Foundation for Innovation

Government of Ontario

Ontario Research Fund Research Excellence

University of Toronto

Publisher

Informa UK Limited

Subject

General Physics and Astronomy,Energy Engineering and Power Technology,Fuel Technology,Modeling and Simulation,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/13647830.2022.2153740

Reference77 articles.

1. Comparison of LES, RANS and experiments in an aeronautical gas turbine combustion chamber

2. Large-eddy simulation of premixed turbulent combustion using a level-set approach

3. LARGE-EDDY SIMULATION OF TURBULENT COMBUSTION

4. Turbulent Combustion

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