光谱学与光谱分析 |
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Radiation Temperature Measurement Technology Based on the Basis of Spectral Emissivity Function |
ZHU Ze-zhong1,2, SHEN Hua1,2*, WANG Nian1,2, ZHU Ri-hong1,2 |
1. School of Electronic Engineering and Photoelectric Technology, Nanjing University of Science& Technology, Nanjing 210094, China 2. Key Laboratory of Advanced Solid-State Laser Technology, Ministry of Industry and Information Technology, Nanjing University of Science& Technology,Nanjing 210094, China |
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Abstract In recent years, with the rapid development of the national defense, industry, technology and other fields, whether it is for the power transmission systems or for the steel smelting and new high-tech industry, temperature measurement has been of important significance. Especially in the high temperature and accompanied by the demand for transient (less than lus)temperature measurement occasion, multi spectral radiation temperature measurement method has been widely used. Multi spectral thermometry is selected by the measured target multiple wavelengths radiation information, the mathematical model of emissivity and wavelength is supposed, finally the radiation temperature is obtained. At present, when the method is used to measure the temperature, the spectral emissivity is fixed with the assumption of the mathematical model, and the fixed model is unable to adapt to the target under different temperature conditions. Similarly, at different temperatures, how to calculate the final emissivity and radiation temperature has been no universal method. Based on the Planck’s law of black body radiation, this paper proposes a new idea that is based on the form invariance of the spectral emissivity function under different temperatures. According to the method, the emissivity model adapte to the dynamic change of the object according to the object under different temperature conditions. At the same time, it also puts forward a general method to calculate the final emissivity and radiation temperature. Through a lot of simulations and experiments, it is proved that the method proposed in this paper is more simple and practical than the existing spectral emissivity solution, which can effectively improve the accuracy of the calculation of spectral emissivity,so as to improve the accuracy of the radiation temperature measurement. At the same time, the method proposed in this paper has the characteristics of good practicability and wide application.
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Received: 2016-03-11
Accepted: 2016-07-28
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Corresponding Authors:
SHEN Hua
E-mail: bayun@163.com
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[1] ZHAI Yang, ZHU Ri-hong, SHEN Hua, et al(翟 洋,朱日宏,沈 华,等). Journal of Applied Optics(应用光学), 2011,24(4):698. [2] DAI Jing-min(戴景民). Techniques of Automation &Applications(自动化技术与应用), 2004,23(3):1. [3] SHEN Hua, CHEN Lei, ZHU Ri-hong, et al(沈 华,陈 磊,朱日宏,等). Acta Optica Sinica(光学学报), 2009, 29(8): 2216. [4] XU Ling-fei, LI Wu-sen, CHEN Yan-ru, et al(许凌飞, 李武森, 陈延如, 等). Laser & Optoelectronics Progress(激光与光电子学进展), 2011, 48(5): 053001. [5] Svet D Y, Sayapina V J, Levchuk V V. High Temp-High Pressures, 1979, 26(11): 117. [6] Tarasov M D, Karpenko I I, Sudovtsov V A. Combustion. Explosion and Shock Waves, 2007, 43(4): 465. [7] YANG Xue-jun, WANG Zhong-yu, ZHANG Shu-kun, et al(杨学军,王中宇,张术坤,等). Journal of Beijing University of Aeronautics and Astronautics(北京航空航天大学学报), 2014,38(8):1022. [8] Cashdollar K L, Herzberg M. Optics Engineering, 1982, 21(1): 82. [9] GE Shao-yan, NA Hong-yue(葛绍岩,那鸿悦). Thermal Radiation Property and Its Measurement(热辐射性质及其测量). Beijing: Science Press(北京:科学出版社), 1986. 189. |
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