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Numerical Simulation of Annular Chromatography

In: Mathematics — Key Technology for the Future

Author

Listed:
  • Lutz Tobiska

    (Otto-von-Guericke-Universität Magdeburg, Institut für Analysis und Numerik)

  • Angela Thiele

    (Otto-von-Guericke-Universität Magdeburg, Institut für Analysis und Numerik)

Abstract

This project is carried out jointly with Prof. Seidel-Morgenstern from the Institute for Process Engineering of university of Magdeburg and with the support of Schering AG at Berlin. Preparative chromatography attains increasing importance for the isolation and purification of value added products in the pharmaceutical industry and in biotechnology. The goal of this project is the numerical simulation of the separation process in an annular Chromatograph to study the influence of the main design parameters on the efficiency of the multicomponent separation. Simulations to optimize the separation process with the aim of a high efficiency of pure products are of special interests. On the basis of the mass balance equations a mathematical model is proposed and an efficient solution strategy is developed using streamline diffusion method, adaptive refinement and multigrid solver.

Suggested Citation

  • Lutz Tobiska & Angela Thiele, 2003. "Numerical Simulation of Annular Chromatography," Springer Books, in: Willi Jäger & Hans-Joachim Krebs (ed.), Mathematics — Key Technology for the Future, pages 194-203, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-55753-8_16
    DOI: 10.1007/978-3-642-55753-8_16
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