On the dynamics of flame images identified through computer vision and modal methods-Reference-Cited by-同舟云学术

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On the dynamics of flame images identified through computer vision and modal methods

Published:2020-05-23 Issue:6 Volume:42 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Chui Danilo S.^ORCID,Silva Neto Gustavo C.,Trigo Flávio C.,Martins Flavius P. R.,Fleury Agenor T.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado do Amazonas

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics

Link

https://link.springer.com/content/pdf/10.1007/s40430-020-02413-3.pdf

Reference40 articles.

1. Gómez HO, Calleja MC, Fernández LA, Kiedrzyńska A, Lewtak R (2019) Application of the CFD simulation to the evaluation of natural gas replacement by syngas in burners of the ceramic sector. Energy 185:15–27

2. Jóźwiak P, Hercog J, Kiedrzyńska A, Badyda K (2019) CFD analysis of natural gas substitution with syngas in the industrial furnaces. Energy 179:593–602

3. Landau ID, Bouziani F, Bitmead RR (2008) A nonlinear model for combustion instability: analysis and quenching of the oscillations. In: Astolfi A, Marconi L (eds) Analysis and design of nonlinear control systems. Springer, Berlin, pp 161–181

4. Culick FEC (1971) Non-linear growth and limiting amplitude of acoustic oscillations in combustion chambers. Combust Sci Technol 3(1):1–16

5. Peracchio A, Proscia W (1999) Nonlinear heat-release/acoustic model for thermoacoustic instability in lean premixed combustors. J Eng Gas Turbines Power 121(3):415–421

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