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Relevant bibliographies by topics / Shocktube

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Journal articles
Dissertations / Theses
Conference papers

Academic literature on the topic 'Shocktube'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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Journal articles on the topic "Shocktube"

1

An, C. F., R. M. Barron, and S. Zhang. "Stream function coordinate Euler formulation and shocktube application." Applied Mathematical Modelling 20, no. 6 (June 1996): 421–28. http://dx.doi.org/10.1016/0307-904x(95)00161-c.

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Williams, Thomas, Youra Taroyan, and Viktor Fedun. "THE NONLINEAR EVOLUTION OF A TWIST IN A MAGNETIC SHOCKTUBE." Astrophysical Journal 817, no. 2 (January 22, 2016): 92. http://dx.doi.org/10.3847/0004-637x/817/2/92.

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Torrilhon, M., J. D. Au, and W. Weiss. "Start-up Phase of a Shocktube by Extended Thermodynamics and Navier-Stokes-Fourier." PAMM 1, no. 1 (March 2002): 270. http://dx.doi.org/10.1002/1617-7061(200203)1:1<270::aid-pamm270>3.0.co;2-j.

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4

Wessley, G. Jims John. "Preliminary Investigation on the Effects of Shockwaves on Water Samples Using a Portable Semi-Automatic Shocktube." IOP Conference Series: Materials Science and Engineering 247 (October 2017): 012002. http://dx.doi.org/10.1088/1757-899x/247/1/012002.

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Chao, Xing, Guofeng Shen, Kai Sun, Zhenhai Wang, Qinghui Meng, Shengkai Wang, and Ronald K. Hanson. "Cavity-enhanced absorption spectroscopy for shocktubes: Design and optimization." Proceedings of the Combustion Institute 37, no. 2 (2019): 1345–53. http://dx.doi.org/10.1016/j.proci.2018.06.230.

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Dissertations / Theses on the topic "Shocktube"

1

Velkur, Chetan Babu. "Initial assessment of the "compressible poor man's Navier-Stokes (CPMNS) equation" for subgrid-scale models in large-eddy simulation." Lexington, Ky. : [University of Kentucky Libraries], 2006. http://lib.uky.edu/ETD/ukymeen2006t00502/Cbvelkur.pdf.

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Thesis (M.S.)--University of Kentucky, 2006.
Title from document title page (viewed on January 5, 2007). Document formatted into pages; contains: x, 128 p. : ill. (some col.). Includes abstract and vita. Includes bibliographical references (p. 116-127).

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Liu, You-Hua, and 劉猷華. "Shocktube Observation of the Ignition Delay for Stoichiometric Propane/ Oxygen Mixtures." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/47b3xk.

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碩士
國立成功大學
航空太空工程學系碩博士班
90
The ignition delay of CH4/O2 and C3H8/O2 stoichiometric mixtures diluted in argon have been studied in shock tube by laser absorption spectroscopy of OH radical at temperatures 1450K~2150K and pressures 1~3atm. The results showed the ignition delay time of propane mixtures were an order of magnitude shorter than that of methane mixtures at the same temperature and pressure. For propane ignition delay observation, the delay time was shortened as the concentration and the pressure increased. The analysis also showed the pseudo activation energy for propane ignition increased with pressure, which indicated the key reaction path for propane ignition changes when pressure was changed. One possible interpretation of pressure effect is that the dissociation of propane follows C3H8 + M iC3H7 + M C3H6 + M at higher pressures. At lower pressures, the other propane dissociation paths C3H8 + M CH3 + C2H5 + M and C3H8 + M nC3H7 + M CH3 + C2H6 + M participate the ignition process and resulting a slower ignition. The above presumption requires verification by detailed kinetic modeling with an adequate propane oxidation mechanism.

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3

"Rapid Decompression of Dense Particle Beds." Doctoral diss., 2019. http://hdl.handle.net/2286/R.I.53724.

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abstract: Rapid expansion of dense beds of fine, spherical particles subjected to rapid depressurization is studied in a vertical shock tube. As the particle bed is unloaded, a high-speed video camera captures the dramatic evolution of the particle bed structure. Pressure transducers are used to measure the dynamic pressure changes during the particle bed expansion process. Image processing, signal processing, and Particle Image Velocimetry techniques, are used to examine the relationships between particle size, initial bed height, bed expansion rate, and gas velocities. The gas-particle interface and the particle bed as a whole expand and evolve in stages. First, the bed swells nearly homogeneously for a very brief period of time (< 2ms). Shortly afterward, the interface begins to develop instabilities as it continues to rise, with particles nearest the wall rising more quickly. Meanwhile, the bed fractures into layers and then breaks down further into cellular-like structures. The rate at which the structural evolution occurs is shown to be dependent on particle size. Additionally, the rate of the overall bed expansion is shown to be dependent on particle size and initial bed height. Taller particle beds and beds composed of smaller-diameter particles are found to be associated with faster bed-expansion rates, as measured by the velocity of the gas-particle interface. However, the expansion wave travels more slowly through these same beds. It was also found that higher gas velocities above the the gas-particle interface measured \textit{via} Particle Image Velocimetry or PIV, were associated with particle beds composed of larger-diameter particles. The gas dilation between the shocktube diaphragm and the particle bed interface is more dramatic when the distance between the gas-particle interface and the diaphragm is decreased-as is the case for taller beds. To further elucidate the complexities of this multiphase compressible flow, simple OpenFOAM (Weller, 1998) simulations of the shocktube experiment were performed and compared to bed expansion rates, pressure fluctuations, and gas velocities. In all cases, the trends and relationships between bed height, particle diameter, with expansion rates, pressure fluctuations and gas velocities matched well between experiments and simulations. In most cases, the experimentally-measured bed rise rates and the simulated bed rise rates matched reasonably well in early times. The trends and overall values of the pressure fluctuations and gas velocities matched well between the experiments and simulations; shedding light on the effects each parameter has on the overall flow.
Dissertation/Thesis
Rapid expansion of bed composed of [212, 297]micron particles.
Rapid expansion of bed composed of [44, 90]micron particles.
Rapid expansion of bed composed of [150, 212]micron particles.
Doctoral Dissertation Engineering 2019

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Conference papers on the topic "Shocktube"

1

SMITH, W., R. ACEBAL, D. BENARD, and B. GRAVES. "Shocktube driven BiF visible chemical laser. I - Numerical modeling of combustion driven shocktube experiments." In 23rd Plasmadynamics and Lasers Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-2996.

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2

MCMILLIN, B., M. LEE, P. PAUL, and R. HANSON. "Planar laser-induced fluorescence imaging of nitric oxide in a shocktube." In 25th Joint Propulsion Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-2566.

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Boesch, Jr., H., Christian Reiff, Bruce Benwell, and Ira Kohlberg. "Experimental and theoretical considerations for tailoring acoustic pulses from multi-shocktube sources." In 38th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-610.

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Brandis, Aaron, Brett Cruden, Dinesh Prabhu, Deepak Bose, Matthew McGilvray, Richard Morgan, and Richard Morgan. "Analysis of Air Radiation Measurements Obtained in the EAST and X2 Shocktube Facilities." In 10th AIAA/ASME Joint Thermophysics and Heat Transfer Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-4510.

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Smith, M., W. Williams, L. Price, and J. Jones. "Shocktube planar laser induced fluorescence measurements in support of the AEDC Impulse Facility." In 25th Plasmadynamics and Lasers Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-2649.

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Naitoh, Ken, Korai Ryu, Shinichi Tanaka, Shunsuke Matsushita, Mitsuaki Kurihara, and Mikiya Marui. "Weakly-stochastic Navier-Stokes Equation and Shocktube Experiments: Revealing the Reynolds' Mystery in Pipe Flows." In 42nd AIAA Fluid Dynamics Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-2689.

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7

Allaneau, Yves, and Antony Jameson. "Direct Numerical Simulations of a Two-Dimensional Viscous Flow in a Shocktube Using a Kinetic Energy Preserving Scheme." In 19th AIAA Computational Fluid Dynamics. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-3797.

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8

Williams, Aimee, Nishant Jain, Jerry Seitzman, and Ben T. Zinn. "Behavior of Autoignition in Polydisperse Jet-A Fuel Spray With High Temperature Co-Flow." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91915.

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Abstract Liquid fueled combustors are commonly used in the gas turbine industry in situations such as high temperature fuel mixing ducts, liquid fueled reheat combustors, and other high temperature liquid fueled combustors. Modern combustors operate at high inlet temperatures, increasing the likelihood of autoignition events. Autoignition is primarily characterized using a single-step Arrhenius rate equation. Generally, this method is ideal for modeling the chemical processes involved in simplistic settings such as for analyzing ignition delays with premixed reactive mixtures in shocktubes, however it may not fully encapsulate the underlying physio-chemical processes involved in the presence of a multi-phase flow which can significantly affect the chemical processes such as autoignition. These conditions are often encountered in reality, for example, in a gas turbine combustor using fuel sprays where interactive phenomena such as fuel droplet evaporation, mixing, and chemical reactions may occur simultaneously and non-homogeneously. The results presented in this report begin to elucidate the role of droplets in determining the behavior of autoignition kernels with an attempt to improve our capability to predict autoignition phenomena in liquid fuel injector application in gas turbine industry. To investigate the autoignition phenomena in a multi-phase flow inside a gas turbine combustor, a simplified co-flow type geometry is considered at atmospheric pressure where a single Jet-A fuel spray enters the co-flowing high temperature vitiated products of a pilot burner. Fuel is injected using an aerodynamically shaped pressure-swirl atomizing injector installed co-axially with the flow inside an optically accessible quartz test section. The air temperatures and oxygen content of the flow can range from 950–1300K and 9–11%, respectively. It has previously been found that while average ignition delay times agree or nearly agree with prior theoretical and experimental studies (eg. for prevaporized fuel, electrically heated), high speed imaging experiments illustrate that the spatial location of the formed kernels can be broadly scattered. Also, this variation in autoignition kernel location is higher at lower temperatures. Simultaneous high speed CH and OH chemiluminescence also suggest that the kernels are formed at lower equivalence ratios at lower preheat temperatures and then proceed to increase in equivalence ratio. While at higher preheat temperatures, kernels form at a higher equivalence ratio and stay at the ratio as they propagate downstream. In the current study, a 5000fps, 283nm laser sheet is introduced along the center axis of the test section. Two synchronized, intensified, high-speed cameras simultaneously captured the fluorescence of Jet-A and OH chemical reaction at 308nm and the Mie scattering of droplets at 283nm. Autoignition kernels and that droplets are visualized at flow velocities ranging from 40–50 m/s and temperatures ranging from 1100–1300K. This technique allows the fuel and reaction fluorescence to be differentiated and from this image, information is obtained on the proximity of fuel droplets and autoignition kernels during their formation and subsequent propagation.

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