SLEEK-EX

Solid-Liquid Equilibrium Engineering Kit - Experiments

Introduction

Why is SLE measurement important? Unlike Vapor Liquid Equilibrium (VLE) data, there are limited SLE data available in open literature. Very often the compound in question may even be a novel molecule that has no prior data at all. This is one of the most common setbacks in using SLE to design a crystallization-based separation system. SLE measurement is also important to gather information for process design and to develop an accurate model for crystallizer.

We combine the strength of modeling of SLEEK^TM and the strength of experiments of SLEEK-EX in solving the above critical design issue. For example, using the SLE modeling, synthesis and simulation abilities in SLEEK^TM, and optimum operability conditions for the crystallizer can be identified with minimum thermodynamic information of the system. SLEEK^TM helps the user identify operating conditions that give maximum recovery of a desired compound with a certain solvent or solvent mixture. Focused experiments can then be performed in parallel using SLEEK-EX to validate the SLE model and improve its accuracy.

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SLEEK-EX Experimental Setup

SLEEK-EX for Data Measurement

There are two aspects of SLEEK-EX that are the key to its efficiency:

• The ability to perform experiments in parallel, i.e. multiple data points in one measurement, and have the output relayed digitally to the computer (to SLEEK^TM)
• The accuracy of measurement using “turbidity analysis” with an electronic output rather than visual observation

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Data Measurement

“Anyone looking to design crystallization unit operations should look seriously at the abilities of SLEEKTM to optimize overall plant design.”

Dr. Timothy Nordahl
President
Swenson Tecnology, USA

How to Order

To place an order, or for more information, please contact us by phone, or by email at sales(at)cwbtech.com.

Reference Publications

• S. M. Lai, M. Y. Yuen, L. K. S. Siu, K. M. Ng, and C. Wibowo, "Experimental Determination of Solid-Liquid-Liquid Equilibrium Phase Diagrams," AIChE J., 53, 1608-1619 (2007).
• K. D. Samant, L. O'Young, M. Kwok, and K. M. Ng, "Workflow and Regression Methods for Determining Solid-Liquid Phase Diagrams," FOCAPD 2004 Proceedings, Princeton, New Jersey, USA (2004).
• C. Wibowo, K.D. Samant, J.W. Schroer, and L. O’Young, "A Novel Software Tool for Crystallization Process Development," European Symposium on Computer Aided Process Engineering-14, Lisbon, Portugal, A. Barbosa-Povoa and H. Matos, eds, Elsevier, Amsterdam, pp.1153-1158 (2004).
• C. Wibowo, L. O’Young, and K. M. Ng, "Streamlining Crystallization Process Design," Chem. Eng. Prog., 100, 30-42 (2004).
• C. Wibowo, K. D. Samant and K. M. Ng, "High-Dimensional Solid-Liquid Phase Diagrams Involving Compounds and Polymorphs," AIChE J., 48, 2179-2192 (2002).
• K. D. Samant and K. M. Ng, "Representation of High-Dimensional Solid-Liquid Phase Diagrams of Ionic Systems," AIChE J., 47, 861-879 (2001).
• K. D. Samant, D. A. Berry, and K. M. Ng, "Representation of High-Dimensional, Molecular Solid-Liquid Phase Diagrams," AIChE J., 46, 2435-2455 (2000).

If you would like to request a copy of any of the above papers, please click here.