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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
C.H. Byers, W.G. Sisson, J.P. Carli, G. Carta (1989) Appl. Bioch. and Biotechn. 20/21, 635
W. Hackbusch, “Iterative Solution of Large Sparse Systems of Equations”, Springer, New York, 1994.
A.V.P. Martin (1949) Dicuss. Faraday Soc. 7, 332
H.-G. Roos, M. Stynes, L. Tobiska (1996) Numerical Methods for Singularly Perturbed Differential Equations: Convection Diffusion and Flow Problems. Springer-Verlag Berlin Heidelberg New York
A. Thiele, L. Tobiska, “The numerical simulation of annular chromatography”, in: F. Keil (Ed.), Scientific Computing in Chemical Engineering II, (1999), 183–190.
A. Thiele, T. Falk, L. Tobiska, A. Seidel-Morgenstern “Prediction of elution profiles of annular chromatography”, Submitted to Computers & Chemical Engineering
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Tobiska, L., Thiele, A. (2003). Numerical Simulation of Annular Chromatography. In: Jäger, W., Krebs, HJ. (eds) Mathematics — Key Technology for the Future. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55753-8_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-55753-8_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-62914-3
Online ISBN: 978-3-642-55753-8
eBook Packages: Springer Book Archive