• Journal of Atmospheric and Environmental Optics
  • Vol. 11, Issue 2, 149 (2016)
Haibin WU, Peng GAO, Longfei XIANG, Xinbing CHEN, Jian PANG, and Danfeng XIONG
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1673-6141.2016.02.009 Cite this Article
    WU Haibin, GAO Peng, XIANG Longfei, CHEN Xinbing, PANG Jian, XIONG Danfeng. Analysis of the Substance of Clustering RH Furnace Based on the Colorimetric Temperature Measurement Technology[J]. Journal of Atmospheric and Environmental Optics, 2016, 11(2): 149 Copy Citation Text show less

    Abstract

    The appearance of measurement error is inevitably caused by steel rolling, steel slag, steel scale in the temperature monitoring of molten steel in RH refining furnace. Through the accurate discrimination and cluster analysis of the molten steel and non steel material, such as design, key parameters of the sampling area, gray value correction and the temperature model, the actual temperature of the molten steel can be obtained, and temperature variation curves are given to improve the accuracy and continuity of temperature measurement, and easily achieve precision steelmaking and scientific steelmaking.
    WU Haibin, GAO Peng, XIANG Longfei, CHEN Xinbing, PANG Jian, XIONG Danfeng. Analysis of the Substance of Clustering RH Furnace Based on the Colorimetric Temperature Measurement Technology[J]. Journal of Atmospheric and Environmental Optics, 2016, 11(2): 149
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