From abstraction to design: Interpretable tree-based machine learning for stable thermoacoustic system layout-Reference-Cited by-同舟云学术

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From abstraction to design: Interpretable tree-based machine learning for stable thermoacoustic system layout

Published:2024 Issue:1-4 Volume:40 Page:105349
ISSN:1540-7489
Container-title:Proceedings of the Combustion Institute
language:en
Short-container-title:Proceedings of the Combustion Institute

Author:

Kuznetsova Maria,Ghani Abdulla^ORCID

Publisher

Elsevier BV

Reference28 articles.

1. Experimental diagnostics of combustion instabilities;Lee;Prog. Aerosp. Sci.,2005

2. Experimental investigation of high-frequency combustion instabilities in liquid rocket engine;Richecoeur;Acta Astronaut.,2008

3. LES of longitudinal and transverse self-excited combustion instabilities in a bluff-body stabilized turbulent premixed flame;Ghani;Combust. Flame,2015

4. Large-eddy simulations of combustion instability in an axisymmetric ramjet combustor;Menon;Combust. Sci. Technol.,1991

5. Convective scaling of intrinsic thermo-acoustic eigenfrequencies of a premixed swirl combustor;Albayrak;J. Eng. Gas Turbines Power,2018

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