Turbulence–flame interaction and fractal characteristics of H2–air premixed flame under pressure rising condition

Yenerdag, Basmil; Fukushima, Naoya; Shimura, Masayasu; Tanahashi, Mamoru; Miyauchi, Toshio

doi:10.1016/j.proci.2014.05.153

Cited by 30 publications

(23 citation statements)

References 32 publications

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“…This is attributed to the fact that the thermal expansion in the flame induces a flow toward the center of the channel. Furthermore, it is found that, whereas most of the turbulent eddies are suppressed and vanished behind the flame as reported in previous studies for the turbulent premixed flame, 21,22 other turbulent eddies are generated again in a form of longitudinal eddies behind the flame only at the cusps and center of the channel where the upper and lower flames meet. To clarify the mechanism, the following transport equation for the turbulent kinetic energy is introduced: 23…”

Section: Energy and Fuelssupporting

confidence: 79%

Effect of Pressure Oscillations on Flashback Characteristics in a Turbulent Channel Flow

et al. 2015

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A flashback phenomenon is reproduced by a direct numerical simulation (DNS) of a premixed hydrogen−air flame in a turbulent channel flow, and effects of the pressure oscillation, is caused by a virtual combustion instability on the flashback characteristics, are investigated. In addition, the interaction between the flashback flame structure and the turbulent flow structure is examined in detail. For the hydrogen−air reaction, a chemical reaction model, which considers 9 chemical species and 20 reactions, is employed. The results show that the pressure oscillation strongly affects the flashback characteristics, such as the flashback speed and heat flux on the wall, and is at risk for increasing the flashback speed, because the acceleration of the flashback speed by the pressure oscillation is greater than the deceleration of it. Independent of the pressure oscillation, the turbulent eddies passing through the flame tend to be suppressed and vanish by the acceleration of the streamwise flow caused by thermal expansion. However, other turbulent eddies are generated again in a form of longitudinal eddies behind the flame only at the cusps and center of the channel where the upper and lower flames meet, because of the strong fluid shear owing to the thermal expansion.

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Section: Energy and Fuelssupporting

confidence: 79%

Effect of Pressure Oscillations on Flashback Characteristics in a Turbulent Channel Flow

et al. 2015

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“…Progress made in this area over the past years was very impressive. In particular, the leading research groups succeeded already in 3D DNSs of highly turbulent premixed flames by allowing for density variations and complex combustion chemistry [4][5][6][7][8][9][10]. Moreover, DNS of laboratory flames were also performed [11,12].…”

Section: Introductionmentioning

confidence: 99%

Direct numerical simulation study of statistically stationary propagation of a reaction wave in homogeneous turbulence

Lipatnikov

2017

Phys. Rev. E

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A three-dimensional (3D) direct numerical simulation (DNS) study of the propagation of a reaction wave in forced, constant-density, statistically stationary, homogeneous, isotropic turbulence is performed by solving Navier-Stokes and reaction-diffusion equations at various (from 0.5 to 10) ratios of the rms turbulent velocity U to the laminar wave speed, various (from 2.1 to 12.5) ratios of an integral length scale of the turbulence to the laminar wave thickness, and two Zeldovich numbers Ze = 6.0 and 17.1. Accordingly, the Damköhler and Karlovitz numbers are varied from 0.2 to 25.1 and from 0.4 to 36.2, respectively. Contrary to an earlier DNS study of self-propagation of an infinitely thin front in statistically the same turbulence, the bending of dependencies of the mean wave speed on U is simulated in the case of a nonzero thickness of the local reaction wave. The bending effect is argued to be controlled by inefficiency of the smallest scale turbulent eddies in wrinkling the reaction-zone surface, because such small-scale wrinkles are rapidly smoothed out by molecular transport within the local reaction wave.

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“…There are many ways to calculate fault fractal dimension values, with the most common approach being the box‐counting method (Gao et al . , ; He, Wang, Wei, Ye, & Ding, ; Liang, Li, Zhang, & Li, ; Shen, ; We, Lia, & Wei, ; Yenerdag, Fukushima, Shimura, Tanahashia, & Miyauchiet, ; Yin et al . , ).…”

Section: Methods Of Fault Fractal Analysismentioning

confidence: 99%

Fractal characteristics of fault systems and their geological significance in the Hutouya poly‐metallic orefield of Qimantage, East Kunlun, China

Liu

et al. 2017

Geological Journal

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The fault fractal dimension is the integrated reflection of the quantity, scale, degree of development, combination mode, and dynamic mechanism of a fault and can be used as a quantitative indicator of fault structure complexity. In Hutouya polymetallic orefield of Qinghai province, China, the faults are developed, and many ore belts are located in the fault zone, which indicated that the faults have an important role in controlling mineralization. The two‐dimensional horizontal distribution of fault systems in the IV, V, VI, and VII ore zones of Hutouya orefield was studied based on fractal geometry. The fault distribution has fractal dimension values for zones IV, V, VI, and VII of 1.05, 1.157, 1.311, and 1.05, respectively. From the perspective of favourable structure, the potential for metallogenesis in the four ore zones is VI > VII > V > IV. The main controlling factor on ore formation in the Qimantage region is fault structure, and the results are consistent with the actual results. This work provides new insights into the relationship between fault systems and metallogenesis.

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Turbulence–flame interaction and fractal characteristics of H2–air premixed flame under pressure rising condition

Cited by 30 publications

References 32 publications

Effect of Pressure Oscillations on Flashback Characteristics in a Turbulent Channel Flow

Effect of Pressure Oscillations on Flashback Characteristics in a Turbulent Channel Flow

Direct numerical simulation study of statistically stationary propagation of a reaction wave in homogeneous turbulence

Fractal characteristics of fault systems and their geological significance in the Hutouya poly‐metallic orefield of Qimantage, East Kunlun, China

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