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Multi-Spectral Camera for Dynamic Measurements of High Temperature Distribution over Solid-Body Surfaces L&E, Vol.30, No.6, 2022

Light & Engineering 30 (6)

Volume 30
Date of publication 12/19/2022
Pages 79–83

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Multi-Spectral Camera for Dynamic Measurements of High Temperature Distribution over Solid-Body Surfaces L&E, Vol.30, No.6, 2022
Articles authors:
Kamil M. Bulatov, Pavel V. Zinin, Alexander S. Machikhin, Igor B. Kutuza

Kamil M. Bulatov, Ph. D. of Technical Sciences. In 2016, he graduated from N.E. Bauman MSTU. At present, he is junior research scientist of STC UI RAS. His research interests: highpressure physics, spectral data processing, programming and spectral analysis

Pavel V. Zinin, Ph. D. of Phys.-Math. Sciences. In 1980, he graduated from the faculty of physics of the M.V. Lomonosov Moscow State University. At present, he is senior research scientist of STC UI RAS. His research interests: carbon materials, high-pressure physics

Alexander S. Machikhin, Doctor of Technical Sciences. In 2007, he graduated from N.E. Bauman MSTU. At present, he is senior research scientist of STC UI RAS. Research interests: instrument engineering, non-destructive testing, acousto-optics, biomedical optics

Igor B. Kutuza, Ph. D. of Phys.-Math. Sciences. In 1999, he graduated from the M.V. Lomonosov Moscow State University. At present, he is senior researcher of STC UI RAS. His research interests: diamonds, super-hard materials, post-silicon electronics, graphite-like phases, IR spectroscopy, Raman scattering spectroscopy, acoustooptics, high-pressure physics

Abstract:
The new method of quick temperature surface distribution measurement based on eight-colour video camera is presented. Measurement frequency is 80 Hz. The mathematical apparatus is developed for determination of temperature distribution in the camera field of view without using radiation capacity data. Statistical temperature measurement error is 10 % at 1170 K and 3 % at 1500 K. It is demonstrated that the multi-spectral measurement method is viable and allows us to obtain temperature distributions of objects with unknown composition.
References:
1. Bulatov, K.M., Semenov, A.N., Bykov, A.A., Machikhin, A.S., Litasov, K.D., Zinin P.V. Rashchenko, S.V. Measurement of thermal conductivity in laser-heated diamond anvil cell using radial temperature distribution // High Pressure Research, 2020, Vol. 40, # 3, pp. 315–324.
2. Popov, M. Yu., Churkin, V.D., Kulnitskiy, B., Kirichenko, A.N., Bulatov, K.M., Bykov, A.A., Zinin, P.V., Blank, V. Transformation of diamond to fullerene-type onions at pressure 70 GPa and temperature 2400 K // Nanotechnology, 2020, Vol. 31(31), Art.n. 315602.
3. Takemura, K., Yusa, H., Eremets, M.I., Shekar, N.V.C. Materials synthesis at high pressures in the laserheated diamond-anvil cell // European Journal of Solid State and Inorganic Chemistry, 1997, Vol. 34, # 7–8, pp. 657–668.
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5. Magunov, A.N. The choice of a spectral interval within which a heated opaque object radiates as a gray body // Instruments and Experimental Techniques, 2010, Vol. 53, # 6, pp. 910–914.
6. Bulatov, K.M., Mantrova, Y.V., Bykov, A.A., Gaponov, M.I., Zinin, P.V., Machikhin, A.S., Troyan, I.A., Batshev, V.I., Kutuza I.B. Multi-spectral image processing for the measurement of spatial temperature distribution on the surface of the laser heated microscopic object // Computer Optics, 2017, Vol. 41, # 6, pp. 864–868.
7. Draper, N.R., Smith, H. Applied Regression Analysis / 3 rd ed. New York: John Wiley & Sons Inc, 1998, 736 p.
8. Mantrova, Yu.V., Zinin, P.V., Bulatov, K.M., Bykov, A.A. Measurement of the distribution of the emissivity and surface temperature of tungsten heated by highpower laser radiation // Optical Journal, 2020, Vol. 87, # 11, pp. 10–20.
9. Zinin, P.V., Bykov, A.A., Machikhin, A.S., Troyan, I.A., Bulatov, K.M., Mantrova, Y.V., Batshev, V.I., Gaponov, M.I., Kutuza, I.B., Rashchenko, S.V., Prakapenka, V.B., Sharma, S.K. Measurement of the temperature distribution on the surface of the laser heated specimen in a diamond anvil cell system by the tandem imaging acousto-optical filter // High Pressure Research, 2019, Vol. 39, # 1, pp. 131–149.
10. Glushkov, D.O., Egorov, R.I., Klepikov, D.M. High-speed contactless measurements of temperature evolution during ignition and combustion of coal-based fuel pellets // International Journal of Heat and Mass Transfer, 2021, Vol. 175, Art.n. 121359.
11. Bulatov, K.M., Zinin, P.V., Bykov, A.A. Determination of the Melting Point of Solids by the Imaging Acousto-Optical Filter // Journal of Surface Investigation: X-ray, Synchrotron and Neutron Techniques, 2020, Vol. 14, # 5, pp. 1092–1096.

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