An inverse method for flue gas shielded metal surface temperature measurement based on infrared radiation

Zhang, B; Xu, Chen; Wang, S M

doi:10.1088/0957-0233/27/7/074002

Cited by 33 publications

(6 citation statements)

References 37 publications

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“…Figure obviously displays this oscillatory phenomenon because of the absorption and emission effects of combustion gases. The fluctuation behavior of temperature profiles obtained by the proposed two-color thermometer model was consistent with the experimental observations reported in refs − . This phenomenon tended to further strengthen with a thicker gas layer.…”

Section: Resultssupporting

confidence: 90%

Quantifying the Effects of Combustion Gases’ Radiation on Surface Temperature Measurements Using Two-Color Pyrometry

et al. 2019

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This article developed an analytical two-color thermometry model combined with a mathematical radiative heat transfer model. The proposed model was used to investigate the performance of two-color pyrometry affected by absorption bands in hot combustion gases. This model was validated by comparing with a range of measured data and the results of other numerical solutions. The analysis of the temperature errors produced by a high-temperature H2O–CO2–N2 mixture in three measurement situations was presented. The presence of the high-temperature H2O–CO2–N2 mixture greatly affected the measurement accuracy of two-color pyrometry. Minimizing the absorption and emission effects by selection of the instrument spectral band is useful when interfering combustion gases are at low concentrations. The results showed that the measured temperature had an apparent oscillatory phenomenon due to combustion gases’ absorption and emission effects. This phenomenon tended to further strengthen with a thicker hot interfering gas layer. Through an analysis of the mechanism of the oscillatory behavior, we presented a correction strategy to minimize the temperature error. Theoretical temperature shifts at some selected wavelength pairs produced by changes in the model input parameters were estimated to provide at least a basis for an uncertainty analysis, and a sensitivity analysis of the impact factors was performed. The calculated temperature error was nearly exponentially increased with an increase of the combustion gas temperature when the gas temperature was greater than the target temperature, and it was linearly increased in magnitude with an increase in both the gas mixture concentration and viewing path length. The analyses presented in the article may provide valuable descriptions of measurement errors produced by combustion gases and necessary theoretical supports for the design and application of a two-color pyrometer in the presence of combustion gases.

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Section: Resultssupporting

confidence: 90%

Quantifying the Effects of Combustion Gases’ Radiation on Surface Temperature Measurements Using Two-Color Pyrometry

et al. 2019

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“…The simulated results are shown as a solid line in Figure 4 . The light propagation in participating media, like tissue, can be calculated by different methods [ 42 , 43 ]. In the present work, the Monte Carlo (MC) method was adopted.…”

Section: Resultsmentioning

confidence: 99%

Experimental Comparison of Photothermal Conversion Efficiency of Gold Nanotriangle and Nanorod in Laser Induced Thermal Therapy

Chen

Ruan

et al. 2017

Nanomaterials

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An experimental comparison of the photothermal conversion efficiency (PCE) for gold nanotriangles (GNTs) and nanorods (GNRs) was carried out in the present work. The discrete dipole approximation method was applied to identify the spectral characteristic of GNTs and GNRs with different aspect ratios. On this basis, the PCE of GNTs and GNRs in photothermal therapy were compared theoretically. Afterwards, an in vitro experiment was adopted to investigate the thermal effect of porcine muscle induced by laser irradiation, with and without injected GNTs and GNRs. The influences of laser total power, nanoparticle concentration, and nanoparticle type were investigated. It was found that for the commonly-used wavelengths for photothermal therapy, the PCE of GNTs is higher than that of the GNRs. Furthermore, for GNRs loaded in tissue in vitro, high laser power and high concentration of nanoparticles leads to the degeneration and even carbonization of tissue. However, for the GNTs with the same situation (laser power, nanoparticle volume concentration, and heating time), it could lead to the tissue’s evaporation instead of carbonization.

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“…Due to the shortcomings of thermocouple and other contact temperature measurement, such as slow dynamic response, interference with combustion field, narrow temperature measurement range, only point measurement, hightemperature oxidation, etc., it is not suitable for cutting-edge combustion chambers under high temperature, high pressure, and high-speed conditions (Yang et al, 2015;Jenkins et al, 2020;Zhang et al, 2016;Lian et al, 2017). In recent years, the flame temperature distribution reconstruction technology based on radiation images has received extensive attention from researchers all over the world (Neuer et al, 2001;Sun et al, 2018;Qi et al, 2019;Zhao et al, 2017;Hossain et al, 2013;Niu et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

A Fast Tomographic Reconstruction Method for Flame Temperature Distribution Measurement Based on Direct Solution Algorithm

Zhang

Peng

et al. 2021

Front. Energy Res.

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The rapid and accurate measurement of the flame temperature distribution is of great significance to the structural design and health diagnosis of the engine. Aiming at the low reconstruction efficiency of traditional flame temperature distribution reconstruction algorithms, a Direct Solution algorithm for flame temperature distribution reconstruction is proposed in this paper based on the structural characteristics of the reconstruction equations. By setting several numerical cases, the performance of the Direct Solution algorithm and some commonly used traditional algorithms, such as Simultaneous Algebraic Reconstruction Technique (SART), Least Squares QR-factorization (LSQR) algorithm, Non-Negative Least Squares QR-factorization (NNLS) algorithm, is compared in the reconstruction of the flame temperature distribution. The results show that the efficiency of the Direct Solution method is 169.4, 7.4, and 3483.3 times higher than that of the SART, LSQR, and NNLS algorithms under the condition of 40 × 40 grids. In addition, with the increase of the number of grids, the growth rate of the reconstruction time of the Direct Solution algorithm is much lower than that of other algorithms. The overall reconstruction accuracy of the Direct Solution algorithm is better than that of SART and LSQR algorithms. This shows that it has an excellent comprehensive performance and has a great application prospect in the rapid reconstruction of the temperature distribution.

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An inverse method for flue gas shielded metal surface temperature measurement based on infrared radiation

Cited by 33 publications

References 37 publications

Quantifying the Effects of Combustion Gases’ Radiation on Surface Temperature Measurements Using Two-Color Pyrometry

Quantifying the Effects of Combustion Gases’ Radiation on Surface Temperature Measurements Using Two-Color Pyrometry

Experimental Comparison of Photothermal Conversion Efficiency of Gold Nanotriangle and Nanorod in Laser Induced Thermal Therapy

A Fast Tomographic Reconstruction Method for Flame Temperature Distribution Measurement Based on Direct Solution Algorithm

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