Detailed simulation of laser-induced ignition, spherical-flame acceleration, and the origins of hydrodynamic instability

2020 ◽  
Author(s):  
Jonathan F. MacArt ◽  
Jonathan M. Wang ◽  
Pavel P. Popov ◽  
Jonathan B. Freund
Keyword(s):  
Hydrodynamic Instability ◽  
Spherical Flame ◽  
Flame Acceleration ◽  
Detailed Simulation ◽  
Induced Ignition

Influence of Flame Front Instability on Flame Propagation Behavior

2011 ◽  
Author(s):  
Kenji Mukaiyama ◽  
Kazunori Kuwana
Keyword(s):  
Flame Propagation ◽  
Thermal Instability ◽  
Hydrodynamic Instability ◽  
Expansion Ratio ◽  
Instability Mechanism ◽  
Flame Propagation Velocity ◽  
Flame Instability ◽  
Flame Acceleration ◽  
Propagation Behavior ◽  
Fft Analysis

This paper discusses flame acceleration due to flame instability mechanisms. In particular, the diffusive-thermal instability and hydrodynamic instability mechanisms are considered. The Sivashinsky equation is used to compute two-dimensional flame propagation behaviors, and the influence of each instability mechanism is separately considered. The effect of flame size on flame speed (accelerated due to the instability mechanisms) is particularly investigated. It is found that the flame propagation velocity (Vf) is independent of flame size under the influence of diffusive-thermal instability, whereas Vf increases with flame size under the influence of hydrodynamic instability. The fractal nature of the flame under the influence of hydrodynamic instability is confirmed based on the dependence of Vf on flame size. Fractal dimension is then calculated as a function of volume expansion ratio, the parameter that controls the hydrodynamic instability mechanism. An FFT analysis is conducted to further understand the flame’s fractal structure.

Experimental study of spherical-flame acceleration mechanisms in large-scale propane–air flames

2015 ◽  
Vol 35 (2) ◽  
pp. 2059-2066 ◽  
Author(s):  
C. Regis Bauwens ◽  
Jeffrey M. Bergthorson ◽  
Sergey B. Dorofeev
Keyword(s):  
Experimental Study ◽  
Large Scale ◽  
Spherical Flame ◽  
Flame Acceleration

A linear perturbation computation method applied to hydrodynamic instability growth predictions in ICF targets

2006 ◽  
Vol 133 ◽  
pp. 201-204
Author(s):  
J.-M. Clarisse ◽  
C. Boudesocque-Dubois ◽  
J.-P. Leidinger ◽  
J.-L. Willien
Keyword(s):  
Hydrodynamic Instability ◽  
Linear Perturbation ◽  
Computation Method ◽  
Instability Growth

Hydrodynamic instability and shear layer effect on the sound emission of a turbulent jet flame

2015 ◽  
Author(s):  
Stephan Schlimpert ◽  
Seong Ryong Koh ◽  
Antje Feldhusen ◽  
Benedikt Roidl ◽  
Matthias H. Meinke ◽  
...  
Keyword(s):  
Shear Layer ◽  
Hydrodynamic Instability ◽  
Turbulent Jet ◽  
Sound Emission ◽  
Jet Flame ◽  
Layer Effect

Model based evaluation of plant improvement strategies for biological nutrient removal

1999 ◽  
Vol 39 (4) ◽  
pp. 45-53 ◽  
Author(s):  
H. M. van Veldhuizen ◽  
M. C. M. van Loosdrecht ◽  
F. A. Brandse
Keyword(s):  
Activated Sludge ◽  
Wastewater Treatment Plants ◽  
P Uptake ◽  
Biological Nutrient Removal ◽  
Adequate Description ◽  
Control Scheme ◽  
Detailed Simulation ◽  
High Fraction ◽  
Biokinetic Parameters ◽  
P Removal

An activated sludge model for biological N- and P-removal was developed, which describes anoxic and aerobic P-uptake based on bacterial metabolism. This model was tested in practice on two wastewater treatment plants, which are BCFS®-processes, which contain activated sludge with a high fraction of denitrifying P-removing bacteria (DPB's). The model appeared to be able to give an adequate description of the performance of these treatment plants under different conditions. If the process parameters are well defined almost no calibration of the biokinetic parameters was necessary. In the simulation of Dalfsen wwtp, which has a complex control scheme, it was possible to give an adequate simulation of the control actions and the concentration profiles in a rather simple way, showing that detailed simulation of these controllers was not necessary. With the calibrated model it was possible to analyse bottlenecks and give suggestions for upgrading of the concerned treatments plants. The simulation results were used in decisions on investments.

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