Measurement of temperature and wavelength-dependent emissivity distributions using multi-wavelength radiation thermometry

Liu, Huawei; Zheng, Sining

doi:10.1016/j.optcom.2020.125895

Cited by 19 publications

(3 citation statements)

References 29 publications

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“…The other processes are the same as those described previously. Details of the method expanded to multiple wavelengths can be found in reference [32].…”

Section: Multi-wavelength Methodsmentioning

confidence: 99%

A decomposition method for the simultaneous reconstruction of temperature and soot volume fraction distributions in axisymmetric flames

Liu¹,

Zhou²,

Xu³

2020

Meas. Sci. Technol.

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This paper presents a method for the simultaneous reconstruction of temperature and soot volume fraction distributions in axisymmetric flames. In the proposed method, the radiation temperature and emissivity are determined using a multi-wavelength method. Then, based on the decomposition of the emissivity, the soot volume fraction distribution is reconstructed. Accordingly, the temperature distribution is calculated using the reconstructed local radiation source terms under a single wavelength. Based on a correction formula proposed in this paper, a further correction process is conducted, and the soot volume fraction and temperature distributions are successively obtained. Simulations are conducted with the temperature and soot volume fraction distributions at two different heights from the flame burner of an axisymmetric ethylene laminar diffusion flame. In the simulations, normal random errors are superimposed, and the radiation temperature and emissivity are calculated based on the intensities at three wavelengths corresponding to the R, G, and B channels of color cameras. Good agreement with the assumed data is obtained, which verifies the performance of the proposed method. Additionally, comparison with the results obtained using the widely-used two-color reconstruction method indicates that the proposed method exhibits a more stable performance with smaller errors. Moreover, the proposed method can take advantage of measurement at multiple wavelengths. Based on the multi-wavelength data captured using a hyperspectral imaging device, the measurement results of an axisymmetric ethylene laminar diffusion flame using the proposed method are also presented.

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“…The other processes are the same as those described previously. Details of the method expanded to multiple wavelengths can be found in reference [32].…”

Section: Multi-wavelength Methodsmentioning

confidence: 99%

A decomposition method for the simultaneous reconstruction of temperature and soot volume fraction distributions in axisymmetric flames

Liu¹,

Zhou²,

Xu³

2020

Meas. Sci. Technol.

Self Cite

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“…Based on the back-propagation neural network, an adaptive emissivity model was introduced by Chen et al in multi-spectral temperature measurement system for true temperature estimation, where the maximum error is only 8 K (Chen et al, 2020). Other multi-spectral algorithms have also been reported in related literatures recently (Liang et al, 2018;Liu and Zheng, 2020;Sun et al, 2020;Xing et al, 2016;.…”

Section: Introductionmentioning

confidence: 99%

Measurement performance evaluation and noise compensation for a Fourier transform infrared–based pyrometer

Zhang

et al. 2023

Transactions of the Institute of Measurement and Control

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The Fourier transform infrared (FTIR) spectrometer is widely used for spectrum analysis and radiation intensity measurement. In this work, a pyrometer with the temperature measurement range of 800°C to 1200°C is developed based on the FTIR spectrometer, and the calibration of the instrument coefficients using a standard radiation source is performed. On this basis, the readout noise and shot noise in the spectral signal are analyzed, and a detailed quantitative evaluation of the influences of two kinds of noise on the temperature measurement accuracy is also carried out in this work. Experimental results show that the temperature deviation caused by the two kinds of noise is less than 1°C when the wavelength is within the range of 2.0 to 5.4 μm. However, when the wavelength is greater than 5.4 μm, the maximum temperature deviation caused by the readout noise and shot noise can reach about 12°C and 18°C, respectively. In view of this, a Kalman filter method is introduced in this work to reduce temperature fluctuations caused by these noises, where the maximum fluctuation can be reduced from 83.9°C to 6.1°C with this filter method. These experimental results can provide a valuable guidance for the general-purpose calibration and assessment of the FTIR-based pyrometer.

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“…The optical emission-based method is sometimes used for the measurement of the temperature of power utility boilers and furnaces, due to its non-invasiveness, minimal disturbance, and ease of acquiring the temperature distribution [19][20][21][22][23]. Based on color images captured with color cameras, temperature distributions can be determined according to the radiation intensity captured by the optical channels.…”

Section: Introductionmentioning

confidence: 99%

Measuring surface temperatures of different types of fly ash samples using a CCD camera

et al. 2022

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In this work, an optical emission-based two-color method was experimentally investigated for the measurement of surface temperatures of different types of fly ash samples using a CCD camera. A heating system consisting of a Hencken flat-flame burner, a narrow piece of stainless steel wire mesh to separate the flame and the ash samples to be studied, and a thermocouple to record the temperature, was used to heat fly ash samples. A color camera equipped with a tri-band filter was used to capture radiation images. Fly ash samples collected from three kinds of coal-fired boilers were heated and imaged at different temperatures. The chemical compositions, elements, and particle size distributions were analyzed. The emissivity ratios of the wavelengths corresponding to the R and G optical channels and permitted by the tri-band filter were experimentally determined. A two-color method was subsequently used to calculate the average surface temperatures with relative errors within ? 2 % in the experiments, and an uncertainty analysis was conducted. Surface temperature distributions were also calculated and presented. The results demonstrate that the emission-based two-color method can be used to determine reliable average surface temperatures and surface temperature distributions when the radiation emitted from the ash samples is obviously greater than the ambient light. The results also show that the method has a lower limit of temperature measurement, which will lessen with the use of larger apertures and a higher radiation capacity of the ash samples to be studied.

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Measurement of temperature and wavelength-dependent emissivity distributions using multi-wavelength radiation thermometry

Cited by 19 publications

References 29 publications

A decomposition method for the simultaneous reconstruction of temperature and soot volume fraction distributions in axisymmetric flames

A decomposition method for the simultaneous reconstruction of temperature and soot volume fraction distributions in axisymmetric flames

Measurement performance evaluation and noise compensation for a Fourier transform infrared–based pyrometer

Measuring surface temperatures of different types of fly ash samples using a CCD camera

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