Study of Heat Transfer in a Gaseous Hydrogen Liquid Oxygen Multi-Element Combustor

Droppers, Lloyd J.; Schuff, Reuben; Anderson, William E.

doi:10.2514/6.2007-5550

Cited by 11 publications

(3 citation statements)

References 2 publications

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“…These effects also apply to the current study, in which the oxidizer is pure O 2 and the flue gas almost pure H 2 O. Cremers et al [45] analytically and numerically discussed the heat transfer of such H 2 /O 2 flames. Measurements of the heat transfer in rocket combustors were reported by Droppers et al [46] and Jones et al [41]. Both studies aimed to provide databases for CFD validation.…”

Section: Introductionmentioning

confidence: 99%

Heat transfer measurements in a hydrogen-oxyfuel combustor

Tanneberger

Stathopoulos

2020

Experimental Heat Transfer

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In the context of emission-free electricity generation, the authors developed a novel hydrogen-oxygen combustor, which is based on swirl-stabilized combustion technology and steam dilution. Following previous burner characterization, the current study investigates the heat transfer conditions in the combustion chamber wall. To this end, a carefully controlled co-flow of air is used to cool the combustion chamber in an annular duct, which surrounds it. Temperature measurements enable the evaluation of the heat flux from the combustor flow to the walls, local wall temperatures, and the Nusselt numbers on the hot and the cold side. The extremely high wall temperatures, caused by the H2/O2 flame, can be reduced by steam dilution down to approximately 900 K. Even better cooling could be reached by using the dilution steam as the coolant before it flows to the plenum. The Nusselt numbers at the inner combustion chamber wall are in the order of 10 − 50 and increase with the thermal power and the steam dilution ratio.

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Section: Introductionmentioning

confidence: 99%

Heat transfer measurements in a hydrogen-oxyfuel combustor

Tanneberger

Stathopoulos

2020

Experimental Heat Transfer

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“…Sensor failure rates are high and measurement accuracies and uncertainties are not well characterized. These shortcomings have had a significant impact on some recent programs which have used heat sink test articles to acquire data for the validation of heat transfer predictions at liquid rocket engine operating conditions 1,2 .…”

Section: Introductionmentioning

confidence: 99%

An Efficient Method for Calculating Surface Temperature and Heat Flux Based on Embedded Temperature Sensors

Coy

2008

26th AIAA Aerodynamic Measurement Technology and Ground Testing Conference

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“…Sensor failure rates are high, and measurement accuracies and uncertainties are not well characterized. These shortcomings have had a significant impact on some recent programs that have used heat-sink test articles to acquire data for the validation of heat transfer predictions at liquid rocket engine operating conditions [1,2].…”

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confidence: 99%

Measurement of Transient Heat Flux and Surface Temperature Using Embedded Temperature Sensors

Coy

2010

Journal of Thermophysics and Heat Transfer

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A method for resolving inverse heat conduction problems using approximating polynomials is described. The coefficients are obtained by constraining the even-numbered spatial derivatives of the polynomial at two points within the domain using the heat equation. The result is a linear time-invariant system that can be implemented as a digital filter and is suitable for application in a real-time sensor. The method places no restrictions on boundary or initial conditions, and temperature dependence of transport properties is accounted for in an approximate way. The performance of the model has been validated using analytical and numerical solutions, and results are presented in the frequency and time domains for several orders of polynomials. A propagation of error analysis is presented and is used to establish the optimum location of the sensors. Nomenclature a ij = matrix of location-dependent coefficients, a 13 , a 14 :m 2 ; a 21 , a 22 :m 1 ; a 23 , a 24 :m; a 43 , a 44 :m 1 b j t = vector of temperature measurements, b 1 , b 2 :K; b 3 , b 4 :K=m 2 c i t = vector of temperature profile polynomial coefficients, c 1 :K; c 2 : K=m; c 3 :K=m 2 ; c 4 :K=m 3 c p = heat capacity, J=kg K Im = imaginary part i = imaginary number, 1 p k = thermal conductivity, W=m K P n = temperature profile polynomial of degree n, K q = heat flux, W=m 2 Re = real part T = temperature, K _ T = rate of change of temperature, K=s t = time, s x = distance from the surface, m = thermal diffusivity, m 2 =s j = low-pass filter coefficient for time derivative, s 1 = gain, nondimensional j = low-pass filter coefficient for time average t = time step, s = uncertainty = density, kg=m 3 = length scale parameter, m 1 = phase angle, rad ! = angular frequency, rad=s j j = amplitude Subscripts i, j = polynomial and matrix indices m = low-pass filter index n = order of polynomial approximation for temperature 1 = position nearest to the measurement surface 2 = position farthest from the measurement surface % = nondimensional number Superscripts = frequency domain quantity = low-pass filtered quantity = complex conjugate

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Study of Heat Transfer in a Gaseous Hydrogen Liquid Oxygen Multi-Element Combustor

Cited by 11 publications

References 2 publications

Heat transfer measurements in a hydrogen-oxyfuel combustor

Heat transfer measurements in a hydrogen-oxyfuel combustor

An Efficient Method for Calculating Surface Temperature and Heat Flux Based on Embedded Temperature Sensors

Measurement of Transient Heat Flux and Surface Temperature Using Embedded Temperature Sensors

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