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Optimization of initial conditions for preferential crystallization

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons86141

Angelov,  I.
Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons86212

Raisch,  J.
Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons86282

Elsner,  M. P.
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons86477

Seidel-Morgenstern,  A.
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Citation

Angelov, I., Raisch, J., Elsner, M. P., & Seidel-Morgenstern, A. (2006). Optimization of initial conditions for preferential crystallization. Industrial and Engineering Chemistry Research, 45(2), 759-766. doi:10.1021/ie050673w.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-9A78-A
Abstract
The presented paper addresses the optimization of isothermal preferential crystallization for separation of pure enantiomer from racemic mixtures. The optimization uses a rigorous process model. A sequence of stochastic and deterministic minimization algorithms are used. Optimized are the initial values of mass of racemate, mass of seeds and mean seed size. The approach is illustrated by a case study for amino acid L-/D-threonine. A promising cyclic operation mode is discussed. Although the results are not validated experimentally, the aim of this work is increase the applicability of the process. © 2006 American Chemical Society [accessed 2013 November 27th]