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Experimental Investigation on Hydrocarbon Diffusion Flames: Effects of Combustion Atmospheres on Flame Spectrum and Temperature |
TANG Guang-tong1, YAN Hui-bo1, WANG Chao-yang1, LIU Zhi-qiang1, LI Xin1, YAN Xiao-pei1, ZHANG Zhong-nong2, LOU Chun2* |
1. State Grid Hebei Energy Technology Service Co., Ltd., Shijiazhuang 050021, China
2. State Key Laboratory of Coal Combustion, School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
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Abstract Radiative heat transfer is the main mode of heat transfer in various combustion processes. The distribution of radiative spectra is complicated for different flames. In this work, the spectral intensities of a hydrocarbon diffusion flame invisible (200~900 nm), near-infrared (900~1 700 nm) and middle-infrared (2 500~5 000 nm) wavebands were measured by spectrometers. The spectral characteristics of the flame in air and oxy-combustion atmospheres were analysed. Based on spectral analysis, flame temperature was calculated, and thermal radiation from soot particle and gases in the flame could be quantitively evaluated. The results show that flame temperature in air combustion is lower than in oxy-combustion. Both soot and gas in flames play an important role in thermal radiation in air combustion, and gas is more important for thermal radiation in oxy-combustion. In visible and near-infrared wavebands, the spectral curve shows good continuity in air-combustion due to soot formation, but the radiative spectrum reduces in oxy-combustion. In the mid-infrared waveband, the gas radiation spectrum of air-combustion is obviously weaker than that of oxy-combustion.
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Received: 2021-04-01
Accepted: 2021-08-02
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Corresponding Authors:
LOU Chun
E-mail: Lou_chun@sina.com
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[1] Zhou K, Jiang J. Journal of Heat Transfer, 2016, 138(4): 042701.
[2] Lou C, Zhang L D, Pu Y, et al. Journal of Experiments in Fluid Mechanic, 2021, 35(1): 1.
[3] Liu H, Zheng S, Zhou H, et al. Measurement Science Technology, 2016, 27(2): 025201.
[4] Yu D, Zhang Z, Lou C. J Combustion Science and Technology, 2018, 24: 458.
[5] Howell J R, Mengüc M P, et al. Thermal Radiation Heat Transfer. Abingdon UK, 2016.
[6] YANG Bin, GUO Hao-ran, GUI Xin-yang, et al. Spectroscopy and Spectral Analysis, 2018, 38(6): 1958.
[7] Lou C, Chen X B, Yan W J, et al. Proceedings of the Combustion Institute, 2019, 37(4): 4571.
[8] Lou C, Li Z C, Zhang Y D, et al. Combustion and Flame, 2021, 227: 371.
[9] Shaddix C R, Williams T C. Proceedings of the Combustion Institute, 2017, 36: 4051.
[10] Wang Q L, Consalvi J L, Morin C. Journal of Quantitative Spectroscopy and Radiative Transfer, 2020, 255: 107261.
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