Solid-Liquid Equilibrium Engineering Kit 

Latest Release: Version 2.1

SLEEK is CWB Tech's state-of-the-art software solution for crystallization process development. It shortens total development time, builds rapid understanding of the system, facilitates logical selection of solvents/experiments and reduce overall project cost. The development of crystallization-based separation processes is a complex multi-disciplinary problem. It requires a development team of process engineers and chemical scientists to collaborate on a multitude of tasks. These tasks can be classified under three headings: Experiments, Synthesis, and Modeling. Experimental tasks include laboratory work, collection of data, and expression of data into meaningful models. Synthesis tasks include understanding the underlying phenomena and system properties and creation of process alternatives. Modeling tasks include calculation and evaluation of these process alternatives.

The development workflow is essentially an evolutionary approach among various experimental, synthesis, and modeling tasks. The goal is to generate feasible process alternatives and operating conditions and to evaluate their merits and potential. If you are involved in crystallization process development, you will know that this is very difficult due to the various types of complexities in the solid-liquid systems that you have to deal with. Time pressure, process regulations, and resource limitations also often hinder your development team in performing these tasks in the optimal manner.

This is where SLEEK can add value to your development workflow. It provides efficient easy-to-use tools for the experimental, synthesis, and modeling tasks. With these tools your development team can make the development workflow more efficient through:

  • Building a comprehensive understanding of the solid-liquid equilibrium thermodynamics. SLEEK can easily handle a diverse array of systems including:Organization and regression of experimental data.
    • Highly non-ideal systems
    • Systems with polymorphs
    • Systems with chemical reactions in the liquid phase
    • Systems with solid-complex/co-crystal formation
    • Electrolytic systems
  • Selection of suitable solvents.
  • Rapid design and evaluation of continuous crystallizers.
  • Evaluation of operating policies for batch crystallizers.

"SLEEK provides cutting-edge technology for the design of crystallization processes. We are confident that SLEEK will give us the boost we need to make our process development effort more efficient."

Dr. Masashi Inaba

General Manager

Research and Technology Development Division

Mitsubishi Chemical Group, Japan


SLEEK for Thermodynamic Analysis

SLEEK has several features that will help you build comprehensive understanding of the solid-liquid system on hand. These features will help you to:

  • Select property methods and thermodynamic models that best describe the system.
  • Plot solubility curves, polythermal phase diagrams, and isothermal phase diagrams.
  • Examine the overall composition space, visualize crystallization regions, and identify separation barriers.
  • Understand how liquid phase reactions affect solubilities and phase behavior.
  • Understand how and when solid-complexes/co-crystal may be formed.
  • Understand polymorphic crossovers (components may have any number of polymorphic forms in SLEEK) and identify regions in which different polymorphic forms may be obtained via crystallization.
  • Understand the phase behavior of electrolytic systems.
  • Calculate mixture properties.

SLEEK for Regression of Experimental Data

One of the most challenging development tasks is organizing experimental data and converting it into more meaningful and more useful form. With the help of binary and ternary (pseudo-binary) regression tools in SLEEK, you can:

  • Regress experimental solubility data to obtain thermodynamic model parameters.
  • Handle data in mixed solvent or in presence of fixed impurity levels.
  • Determine the conditions for additional experiments.
  • Save and re-use the thermodynamic model parameters

SLEEK for Solvent Selection

Solvent and/or anti-solvent selection is very crucial for solid-liquid separation. SLEEK recognizes this importance and offers the following two tools to help you accomplish this task:

  • The solvent screening tool enables you to filter and screen solvents based on a solute’s solubility in a specified temperature and composition range.
  • The solubility study tool enables you to estimate the solubility of a solute in mixtures that include co-solvents, anti-solvents, other components, and impurities.

SLEEK for Continuous Cystallizer Design

With the help of the SLEEK continuous crystallizer design tool, you can calculate the percent recoveries, total heat requirement, and crystallizer performance under specified operating conditions. This design tool has models that allow you to calculate the particle size distributions by taking into account the effects of crystallizer size, nucleation and growth, agitator speed, fines dissolution, and product classification.

SLEEK also has a powerful sensitivity analysis tool that lets you study the effects of design variables on the performance of your crystallizer.

These tools enable you to:

  • Find the most suitable operating conditions for the optimal recovery of your product.
  • Find the most suitable operating conditions that will produce the desired polymorphic form of your product.
  • Determine ways to optimize the product recovery and other performance parameters.
  • Study the effects of crystallizer operation on the particle size distribution.

SLEEK for Batch Crystallizer Design

SLEEK batch crystallizer model allows you to create your own batch operating policies and then study the effect of these policies on crystallizer performance. The batch crystallizer model also lets you calculate the particle size distribution properties dynamically.

With these capabilities you can do the following:

  • Create operating policies by various combinations of "Cooling/Heating", "Solvent/Anti-Solvent Addition", and "Evaporation" steps.
  • Determine how recoveries, crystallizer variables, and component attributes change with time.
  • Determine how mean particle size and variance change with time.
  • Specify seeding and study its effect on mean particle size and variance.

How to Order

To place an order, or for more information, please contact us by phone, or by email at This email address is being protected from spambots. You need JavaScript enabled to view it..

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).


(The content of this page is originated from CWB Tech website.)