scholarly journals Three-Dimensional CT Measurement of Supersonic Flow Field around an Asymmetric Body by Background Oriented Schlieren (BOS) Technique

2011 ◽  
Vol 59 (689) ◽  
pp. 154-159
Author(s):  
Masanori OTA ◽  
Kenta HAMADA ◽  
Ryusuke NODA ◽  
Hiroko KATO ◽  
Kazuo MAENO
Keyword(s):  
Supersonic Flow ◽  
Flow Field ◽  
Three Dimensional ◽  
Background Oriented Schlieren ◽  
Ct Measurement

Three-Dimensional Mixing Flow Field in Supersonic Flow Induced by Injected Secondary Flow through a Traverse Circular Nozzle

1995 ◽  
pp. 163-170
Author(s):  
Shigeru Aso ◽  
Shozo Maekawa ◽  
Michiaki Tan-Nou ◽  
Satosh Okuyama ◽  
Yasunori Ando ◽  
...  
Keyword(s):  
Supersonic Flow ◽  
Flow Field ◽  
Secondary Flow ◽  
Three Dimensional ◽  
Circular Nozzle ◽  
Flow Through

scholarly journals Theory, Analysis, and Applications of the Entropic Lattice Boltzmann Model for Compressible Flows

Entropy ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 370 ◽  
Author(s):  
Nicolò Frapolli ◽  
Shyam Chikatamarla ◽  
Ilya Karlin
Keyword(s):  
Mach Number ◽  
Supersonic Flow ◽  
Flow Field ◽  
Lattice Boltzmann ◽  
Compressible Flows ◽  
Three Dimensional ◽  
Lattice Boltzmann Model ◽  
Temperature Range ◽  
Naca0012 Airfoil ◽  
New Construction

The entropic lattice Boltzmann method for the simulation of compressible flows is studied in detail and new opportunities for extending operating range are explored. We address limitations on the maximum Mach number and temperature range allowed for a given lattice. Solutions to both these problems are presented by modifying the original lattices without increasing the number of discrete velocities and without altering the numerical algorithm. In order to increase the Mach number, we employ shifted lattices while the magnitude of lattice speeds is increased in order to extend the temperature range. Accuracy and efficiency of the shifted lattices are demonstrated with simulations of the supersonic flow field around a diamond-shaped and NACA0012 airfoil, the subsonic, transonic, and supersonic flow field around the Busemann biplane, and the interaction of vortices with a planar shock wave. For the lattices with extended temperature range, the model is validated with the simulation of the Richtmyer–Meshkov instability. We also discuss some key ideas of how to reduce the number of discrete speeds in three-dimensional simulations by pruning of the higher-order lattices, and introduce a new construction of the corresponding guided equilibrium by entropy minimization.

Quantitative Measurement of Temperature Gradient in Natural Heat Convection Using Color-Stripe Background Oriented Schlieren (CSBOS) Technique and Computed Tomography (CT) Method

2011 ◽  
Author(s):  
Muhammad Falak Zeb ◽  
Masanori Ota ◽  
Kazuo Maeno
Keyword(s):  
Temperature Gradient ◽  
Flow Field ◽  
Quantitative Measurement ◽  
Three Dimensional ◽  
Image Data ◽  
Flow Fields ◽  
Two Dimensions ◽  
Ct Reconstruction ◽  
Optimum Energy ◽  
Background Oriented Schlieren

Quantitative image analysis and measurement of flow fields in convective heat transfer has great importance for the optimum energy consumption problems. In natural and forced convection phenomena of fluids, the complexity of flow field prevents us from detailed three dimensional (3D) experimental analyses of steady/unsteady dynamics in fluids. These flow fields have locally different density and temperature values and yet to be observed quantitatively. Recent development of the Particle Image Velocimetry (PIV) and Particle Tracking Velocimetry (PTV) techniques lead us to the quantitative investigation of flow fields in experimental researches. On the other hand, in image measurements density and temperature distributions have been grasped only in two-dimensions (2D). These qualitative image analyses of flow fields were obtained by using classical flow visualizing techniques, such as shadowgraph and color schlieren method. This paper describes the quantitative measurement of convective flow field using our originally proposed color striped background oriented schlieren (CSBOS) method. The obtained measured image data is used for CT reconstruction and 3D temperature gradient distributions.

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