The condition of slag in a pyrometallurgical reactor is vital to ensuring control of the process. A new technique based on multivariate image analysis (MIA) of digital images has been developed to provide an online measurement of important lag characteristics, such as the presence of exposed metal, the presence of solid phases, and temperature. This paper shall describe the technique and provide some results from analysis using industrial plant data.
Proceedings of the Yazawa International Symposium: Metallurgical and Materials Processing Principles and Technologies, San Diego, United States, 02-06 March 2003 / F. Kongoli, K. Itagaki, C. Yamauchi, and H. Y. Sohn (ed.),
Vol. 1, pp. 475-483