cellular flame
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2021 ◽  
Vol 16 (2) ◽  
pp. JTST0021-JTST0021
Author(s):  
Satoshi KADOWAKI ◽  
Thwe Thwe Aung ◽  
Taisei FURUYAMA ◽  
Kazumasa KAWATA ◽  
Toshiyuki KATSUMI ◽  
...  

2018 ◽  
Vol 850 ◽  
pp. 784-802 ◽  
Author(s):  
Sheng Yang ◽  
Abhishek Saha ◽  
Zirui Liu ◽  
Chung K. Law

In this paper we study the essential role of Darrieus–Landau (DL), hydrodynamic, cellular flame-front instability in the propagation of expanding turbulent flames. First, we analyse and compare the characteristic time scales of flame wrinkling under the simultaneous actions of DL instability and turbulent eddies, based on which three turbulent flame propagation regimes are identified, namely, instability dominated, instability–turbulence interaction and turbulence dominated regimes. We then perform experiments over an extensive range of conditions, including high pressures, to promote and manipulate the DL instability. The results clearly demonstrate the increase in the acceleration exponent of the turbulent flame propagation as these three regimes are traversed from the weakest to the strongest, which are respectively similar to those of the laminar cellularly unstable flame and the turbulent flame without flame-front instability, and thus validating the scaling analysis. Finally, based on the scaling analysis and the experimental results, we propose a modification of the conventional turbulent flame regime diagram to account for the effects of DL instability.


2018 ◽  
Author(s):  
B. F. Boyarshinov ◽  
S. Yu. Fedorov ◽  
R. Kh. Abdrakhmanov

2017 ◽  
Vol 31 (10) ◽  
pp. 1742007
Author(s):  
Sukesh Roy ◽  
James R. Gord ◽  
Jia-Chen Hua ◽  
Gemunu H. Gunaratne

The emergence of techniques to extract high-frequency high-resolution data introduces a new avenue for modal decomposition to assess the underlying dynamics, especially of complex flows. However, this task requires the differentiation of robust, repeatable flow constituents from noise and other irregular features of a flow. Traditional approaches involving low-pass filtering and principle components analysis have shortcomings. The approach outlined here, referred to as robust-mode analysis, is based on Koopman decomposition. Three applications to (a) a counter-rotating cellular flame state, (b) variations in financial markets, and (c) turbulent injector flows are provided.


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