Spectral radiation characteristics in semi-coke jet flame for energy utilization

A series of combustor tests were conducted with a tubular-can combustor to study flame radiation characteristics and effects with parametric variations in combustor operating conditions. Two alternate combustor assemblies using a different fuel nozzle were compared. Spectral and total radiation detectors were positioned at three stations along the length of the combustor can. Data were obtained for a range of pressures from 0.34 to 2.07 MPa (50 to 300 psia), inlet temperatures from 533 to 700K (500 to 800°F), for Jet A (13.9% hydrogen) and ERBS (12.9% hydrogen) fuels, and with fuel-air ratios nominally from 0.008 to 0.021. Spectral radiation data, total radiant heat flux data, and liner temperature data are presented to illustrate the flame radiation characteristics and effects in the primary, secondary, and tertiary combustion zones.

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Spectral Radiation Characteristics of Diazo Copying Mercury Lamps

JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN ◽

10.2150/jieij1917.50.9_496 ◽

1966 ◽

Vol 50 (9) ◽

pp. 496-506

Author(s):

Yasuo NAKAGAWA

Keyword(s):

Spectral Radiation ◽

Radiation Characteristics

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SPECTRAL RADIATION CHARACTERISTICS OF COAL ASHES AND SLAGS

Clean Air ◽

10.1615/interjenercleanenv.v6.i3.70 ◽

2005 ◽

Vol 6 (3) ◽

pp. 329-341 ◽

Cited By ~ 2

Author(s):

V. Scherer ◽

S. Linka ◽

S. Wirtz

Keyword(s):

Spectral Radiation ◽

Radiation Characteristics ◽

Coal Ashes

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Arrangement structure of carbon nanofiber with excellent spectral radiation characteristics

Nanotechnology Reviews ◽

10.1515/ntrev-2020-0060 ◽

2020 ◽

Vol 9 (1) ◽

pp. 789-799

Author(s):

Jinying Yin ◽

Jiangyue Han ◽

Caihui Qi ◽

Yan Wang

Keyword(s):

Carbon Nanofibers ◽

3D Model ◽

Carbon Nanofiber ◽

Filler Content ◽

Spectral Radiation ◽

Radiation Characteristics ◽

Analytical Results ◽

Random Arrangement ◽

Spectrum Band ◽

Difference Time

AbstractTo explore the spectral radiation characteristics of carbon nanofibers, a finite-difference time-domain method has been applied to study and calculate the scattering/absorption factors of carbon nanofibers with various arrangements, while the filler contents are 61.15%, 53.81%, 48.92%, 44.03% and 39.13% in the spectrum band of 2.5–15 µm. The effects of the nanofiber content, 2D/3D random arrangement and nanofiber radius on scattering/absorption characteristics have been analyzed. The analytical results show that the spectral radiation characteristics of carbon nanofibers have been significantly increased with an increase in the filler content. When the nanofiber content reduced to 48.92%, the random arrangement structure of carbon nanofiber plays an essential role in determining the spectral radiation characteristics. Analytical results prove that the prediction accuracy has been significantly improved by 30.12% by sing the 3D random arrangement model than by using the 2D uniform arrangement model. This study proposed a 3D model to predict the spectral radiation characteristics of carbon nanofibers and their aggregates in engineering nanocomposites.

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Deconvolution of Temperature and Soot Volume Fraction in a Turbulent Ethylene Flame by Inverse Spectral Radiation Analysis

Volume 4 ◽

10.1115/ht-fed2004-56890 ◽

2004 ◽

Author(s):

Yuan Zheng ◽

Jay P. Gore

Keyword(s):

Volume Fraction ◽

Soot Volume Fraction ◽

Turbulent Flames ◽

Gradient Algorithm ◽

Spectral Radiation ◽

Jet Flame ◽

Ethylene Flame ◽

Simultaneous Reconstruction ◽

Local Mean ◽

Good Agreement

We report a new non-intrusive diagnostics technique for the simultaneous reconstruction of temperature (T) and soot volume fraction (fv) profiles in axi-symmetric turbulent luminous flames. Line-of-sight spectral radiation intensities (Iλ) for one diametric and nine chord-like radiation paths from a representative horizontal plane of a turbulent ethylene jet flame were measured by a fast infrared array spectrometer. By inverse analysis of the measured mean Iλ at four wavelengths where continuum radiation from soot particles dominates, four local scalar statistics, including mean and root-mean-square (rms) of T and fv, were de-convoluted. Powell’s conjugate-gradient algorithm and Brent’s line minimization algorithm were adopted in solving the present four-variable inverse problem. The calculated mean Iλ matched the experimental data very well within a 3% difference in general. The reconstructed local mean/rms T and fv distributions were in reasonably good agreement with sampling data from similar turbulent flames.

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