Publicou 18 edições por ano
ISSN Imprimir: 1064-2285
ISSN On-line: 2162-6561
Indexed in
EMISSIVITY MODEL OF STEEL 316L AT 800–1100 K DURING OXIDE LAYER GROWTH ON THE SPECIMEN SURFACE
RESUMO
This work strived to study the variation in the spectral emissivity of steel 316L specimens with wavelength at a certain temperature. The spectral emissivity and radiances from the specimen surface were measured by multispectral radiation thermometry at wavelengths of 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0, and 2.1 μm and at temperatures from 800 to 1100 K in increments of 20 K. The specimen was heated and kept at a certain temperature in air for 6 h. The temperature of the specimen surface was measured by two thermocouples, which were symmetrically welded onto the front surface of the specimens near the measuring area for accurate monitoring of the surface temperature. The average of their readings was regarded as the real temperature. Variation in the spectral emissivity with wavelength was studied at different temperatures and different heating times. Effect of surface oxidation on the fitting accuracy of the emissivity models was evaluated. Two favorite models were determined. With the radiant values measured by thermometry and in combination with the least-squares fitting technique, two favorite models were examined. On the whole, both the five-parameter LLWE and LWE models could yield the best overall temperature prediction and could farthest relieve the effect of surface oxidation on the accuracy of temperature prediction over the present wavelength and temperature ranges.
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Zhang Yucun, Zou Zhou, Yan Fang, A data processing algorithm for multispectral radiation thermometry based on multi-segment linear model and secondary inversion, Measurement, 201, 2022. Crossref
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Zou Zhou, Fu Xianbin, Zhang Yucun, Yan Fang, Multi-spectral radiation thermometry based on mixed kernel support vector regression, Infrared Physics & Technology, 127, 2022. Crossref