Chapter 27. Quantitative Analysis of Ct Scans of Ceramic Candle Filters

  1. John B. Wachtman Jr.
  1. Martin V. Ferer1 and
  2. Duane H. Smith2

Published Online: 26 MAR 2008

DOI: 10.1002/9780470314821.ch27

Proceedings of the 20th Annual Conference on Composites, Advanced Ceramics, Materials, and Structures - A: Ceramic Engineering and Science Proceedings, Volume 17, Issue 3

Proceedings of the 20th Annual Conference on Composites, Advanced Ceramics, Materials, and Structures - A: Ceramic Engineering and Science Proceedings, Volume 17, Issue 3

How to Cite

Ferer, M. V. and Smith, D. H. (1996) Quantitative Analysis of Ct Scans of Ceramic Candle Filters, in Proceedings of the 20th Annual Conference on Composites, Advanced Ceramics, Materials, and Structures - A: Ceramic Engineering and Science Proceedings, Volume 17, Issue 3 (ed J. B. Wachtman), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470314821.ch27

Author Information

  1. 1

    Department of Physics, P. O. Box 6315, West Virginia University, Morgantown, WV 26506–6315

  2. 2

    U. S. Department of Energy, Morgantown Energy Technology Center, Box 880, Morgantown, WV 26507–0880

Publication History

  1. Published Online: 26 MAR 2008
  2. Published Print: 1 JAN 1996

ISBN Information

Print ISBN: 9780470375426

Online ISBN: 9780470314821

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Keywords:

  • digitize;
  • density;
  • ceramic materials;
  • fluidized;
  • combustion

Summary

Candle filters are being developed to remove coal ash and other fine particles (<15μm) from hot (ca. 1000 K) gas streams. In the present work, a color scanner was used to digitize hard-copy CT X-ray images of cylindrical SiC filters, and linear regressions converted the scanned (color) data to a filter density for each pixel. These data, with the aid of the density of SiC, gave a filter porosity for each pixel. Radial averages, density-density correlation functions, and other statistical analyses were performed on the density data. The CT images also detected the presence and depth of cracks that developed during usage of the filters. The quantitative data promise to be a very useful addition to the color images.