Computational modelling of packed bed systems

N. Gopinathan*, Michael Fairweather, Xiaodong Jia, Richard A Williams

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Predicting particle packing and flow through porous media has long been a problem for engineers of many disciplines. This paper describes a novel digitalisation approach, which is capable of predicting the way in which particles of any shape pack into a container of any geometry. The particle shapes are acquired using X-ray microtomography (XMT). Lattice Boltzmann method (LBM) can then be used to predict fluid flow through the generated packing structure. It is demonstrated that the combination of the digital packing model DigiPac and LBM provides a powerful modelling capability for packed beds that is of value to the improved design of a wide range of unit operations. Through the use of XMT, the combination also gives higher-resolution results than, for example, the combination of magnetic resonance imaging and LBM previously reported.

Original languageEnglish
Title of host publication3rd World Congress on Industrial Process Tomography
PublisherInternational Society for Industrial Process Tomography
Number of pages6
ISBN (Print)9780853163190
Publication statusPublished - 2003
Event3rd World Congress on Industrial Process Tomography - Banff, Canada
Duration: 2 Sept 20035 Sept 2003


Conference3rd World Congress on Industrial Process Tomography


  • Lattice Boltzmann method
  • Particle packing
  • X-ray tomography

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Computational Mechanics


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