Opportunities for plant-site 3D coarse particle characterization with automated high-speed X-ray tomography
The use of 3D X-ray tomography analysis for plant-site characterization of coarse particles at a sampling rate of about 3 kg/min for particles ranging in size from 150 mm to 1 mm at a voxel resolution of about 150 µm is now possible. This is quite a significant advance in X-ray tomography technology and promises to be useful for plant-site coarse particle characterization—size, shape, composition, density, texture, grain exposure and mineral liberation—with a response time of minutes after receiving the sample. This paper discusses applications in the mineral industries, including the coal industry, aggregates industry, metal mining and the processing of industrial minerals.
Key wordsHigh-speed X-ray tomography Coarse particle characterization Plant-site analysis Geometallurgy Mine-to-mill application Coal Aggregates Metal mining Industrial minerals
Unable to display preview. Download preview PDF.
- Banholzer, W.F., Spiro, C.L., Kosky, P.G., and Maylotte, D.H., 1987, “Direct imaging of time-averaged flow patterns in a fluidized reactor using ‘X-ray computed tomography’,” Industrial & Engineering Chemical Research, Vol. 26, pp. 763–767, http://dx.doi.org/10.1021/ie00064a025.CrossRefGoogle Scholar
- Bauza, M.B., and Lettenbauer, H., 2012, “Computed tomography in metrology,” Proceedings of the 27thAnnual Meeting of the American Society for Precision Engineering (ASPE), San Diego, CA, Oct. 21–26, Paper No. 3555.Google Scholar
- Lin, C.L., and Miller, J.D., 2010, “Advances in X-ray computed tomography (CT) for improved coal washability analysis,” International Coal Preparation Congress, 2010 Conference Proceedings, R.Q. Honaker, ed., Society for Mining, Metallurgy & Exploration Inc., Englewood, CO, pp. 888–897.Google Scholar
- Lin, C.L., Yen, Y.K., and Miller, J.D., 2000, “Continuous quality control,” Rock Products, May, pp. 38–40.Google Scholar
- Maerz, N.H., 1998, “Aggregate sizing and shape determination using digital image processing,” Center for Aggregates Research (ICAR) Sixth Annual Symposium Proceedings, St. Louis, MO, April 19–20, pp.195–203.Google Scholar
- Miller, J.D., and Lin, C.L., 2004, “Three-dimensional analysis of particulates in mineral processing systems by cone-beam X-ray microtomography,” Minerals & Metallurgical Processing, Vol. 21, No. 3, pp. 113–124.Google Scholar
- Miller, J.D., and Lin, C.L., 2009, “High resolution X-ray micro CT (HRXMT) — Advances in 3D particle characterization for mineral processing operations,” Recent Advances in Mineral Processing Plant Design, D. Melhotra, P.R. Taylor, E. Spiller and M. LeVier, eds., Society for Mining, Metallurgy & Exploration Inc., Englewood, CO, pp. 48–59.Google Scholar
- Miller, J.D., Lin, C.L., Ahmed, I., Wang, X., and Zhang, P., 2012, “Advanced instrumentation for mineral liberation analysis and use in the phosphate industry,” Beneficiation of Phosphates: New Thought, New Technology, New Development, P. Zhang, J.D. Miller and H. El-Shall, eds., Society for Mining, Metallurgy & Exploration Inc., Englewood, CO, pp. 167–176.Google Scholar
- Salter, J.D., Joseph, I., and Nordin, L., 1987, “Fast data capture for crusher modeling and optimization,” APCOM 87, Proceedings of the Twentieth International Symposium on the Application of Computers and Mathematics in the Mineral Industries. Volume 2, Metallurgy, SAIMM, Johannesburg, pp. 235–240.Google Scholar
- Sepulveda, J., 2005, “A simulation analysis of the net effect of feed particle size distribution on SAG mill performance,” Innovations in Natural Resource Processing, Proceedings of the Jan D. Miller Symposium, C.A. Young, J.J. Kellar, M.L. Free, J. Drelich and R.P. King, eds., Society for Mining, Metallurgy & Exploration Inc., Englewood, CO, pp. 413–420.Google Scholar