Projekt

Zurück zur Übersicht

Crystallization: Optimal control and advanced monitoring (CrystOCAM)

Titel Englisch Crystallization: Optimal control and advanced monitoring (CrystOCAM)
Gesuchsteller/in Morari Manfred
Nummer 135218
Förderungsinstrument Projektförderung (Abt. I-III)
Forschungseinrichtung Institut für Automatik ETH Zürich
Hochschule ETH Zürich - ETHZ
Hauptdisziplin Chemische Verfahrenstechnik
Beginn/Ende 01.09.2011 - 31.08.2014
Bewilligter Betrag 410'837.00
Alle Daten anzeigen

Keywords (4)

crystallization, monitoring, particle size distribution, control

Lay Summary (Englisch)

Lead
Lay summary

CrystOCAM: Crystallization - Optimal Control and Advanced Monitoring

Crystallization is an important process during the production of pharmaceutical and high-value organic compounds. It serves two different main purposes. First, the operation is used to adjust the final chemical purity by separating product from undesired impurities or side-products from previous production steps. Second, many physical properties are defined during crystallization. For example, the processability (e.g. in terms of tabletability or flowability) of the product powder as well as the bioavailability of the active ingredient to the patient mainly depend on shape and size of crystals.

Project CrystOCAM aims at developing technologies and tools to monitor and control the shape and size of particles during crystallization. Crystal size monitoring will be based on a fast online image analysis algorithm. Particles will be photographed in suspension from perpendicular directions which will enable to perform an accurate reconstruction of size, shape, and position of crystals in space. The output of this measurement will be used as an input for a process model. Calculations based on the predictions of this model will be used as feedback for a controller to determine process parameters in real-time.

The vision for project CrystOCAM is the development of a highly robust crystallization process that will minimize process design efforts hence help to make processes more sustainable, economically favorable, and safe.

Direktlink auf Lay Summary Letzte Aktualisierung: 21.02.2013

Verantw. Gesuchsteller/in und weitere Gesuchstellende

Mitarbeitende

Publikationen

Publikation
Modeling the Facet Growth Rate Dispersion of β L-Glutamic Acid - Combining Single Crystal Experiments with nD Particle Size Distribution Data
Ochsenbein David, Schorsch Stefan, Salvatori Fabio, Vetter Thomas, Morari Manfred, Mazzotti Marco (2015), Modeling the Facet Growth Rate Dispersion of β L-Glutamic Acid - Combining Single Crystal Experiments with nD Particle Size Distribution Data, in Chemical Engineering Science, 133, 30-43.
Growth Rate Estimation of β l-Glutamic Acid from Online Measurements of Multidimensional Particle Size Distributions and Concentration
Ochsenbein David Richard, Schorsch Stefan, Vetter Thomas, Mazzotti Marco, Morari Manfred (2014), Growth Rate Estimation of β l-Glutamic Acid from Online Measurements of Multidimensional Particle Size Distributions and Concentration, in Industrial & Engineering Chemistry Research, 0.
High accuracy online measurement of multidimensional particle size distributions during crystallization
Schorsch Stefan, Ochsenbein David R., Vetter Thomas, Morari Manfred, Mazzotti Marco (2013), High accuracy online measurement of multidimensional particle size distributions during crystallization, in Chemical Engineering Science , 105, 155-168.
Parametric Polytope Reconstruction, an Application to Crystal Shape Estimation
Hours Jean-Hubert, Schorsch Stefan, Jones Colin (2013), Parametric Polytope Reconstruction, an Application to Crystal Shape Estimation, EPFL, Lausanne.
Agglomeration of Needle-like Crystals in Suspension: I. Measurements
Ochsenbein David, Vetter Thomas, Schorsch Stefan, Morari Manfred, Mazzotti Marco (2015), Agglomeration of Needle-like Crystals in Suspension: I. Measurements, in Crystal Growth and Design, 15(4), 1923-1933.
Parametric Polytope Reconstruction, an Application to Crystal Shape Estimation
Hours Jean-Hubert, Schorsch Stefan, Jones Colin (accepted), Parametric Polytope Reconstruction, an Application to Crystal Shape Estimation, in IEEE Transactions on Image Processing, 23(10), 4474-4485.
Measuring multidimensional particle size distributions during crystallization
Schorsch S., Vetter T., Mazzotti M. (accepted), Measuring multidimensional particle size distributions during crystallization, in Chemical Engineering Science, 77, 130-142.

Zusammenarbeit

Gruppe / Person Land
Felder der Zusammenarbeit
Doherty Group, University of California Santa Barbara Vereinigte Staaten von Amerika (Nordamerika)
- vertiefter/weiterführender Austausch von Ansätzen, Methoden oder Resultaten
- Publikation
- Austausch von Mitarbeitern

Wissenschaftliche Veranstaltungen

Aktiver Beitrag

Titel Art des Beitrags Titel des Artikels oder Beitrages Datum Ort Beteiligte Personen
International Workshop on Industrial Crystallization Vortrag im Rahmen einer Tagung From Measuring and Modeling to Mitigating Facet Growth Rate Dispersion. 09.09.2015 Daejeon, Korea, Republik (Südkorea) Ochsenbein David Richard; Mazzotti Marco; Morari Manfred; Schorsch Stefan Thomas
International Symposium on Industrial Crystallization Vortrag im Rahmen einer Tagung Measurement and Modelling of Shape and Agglomeration of β L‐Glutamic Acid 16.09.2014 Toulouse, Frankreich Mazzotti Marco; Morari Manfred; Ochsenbein David Richard; Schorsch Stefan Thomas
International Symposium on Industrial Crystallization Vortrag im Rahmen einer Tagung Investigating the Size Dependent Growth Rates of β L‐Glutamic Acid using Imaging Tools 16.09.2014 Toulouse, Frankreich Morari Manfred; Schorsch Stefan Thomas; Mazzotti Marco; Ochsenbein David Richard
International Symposium on Industrial Crystallization Poster Two Open Source Tools for Crystallization Research: Automated Morphology Domain Plotting and Accessible Population Balance Solver 16.09.2014 Toulouse, Frankreich Morari Manfred; Schorsch Stefan Thomas; Ochsenbein David Richard; Mazzotti Marco
Annual Conference of the British Association of Crystal Growth Vortrag im Rahmen einer Tagung A Microscopy Study of the Face Growth Rate Dispersion of β L-Glutamic Acid 13.07.2014 Leeds, Grossbritannien und Nordirland Ochsenbein David Richard; Morari Manfred; Mazzotti Marco; Schorsch Stefan Thomas
International Workshop on Industrial Crystallization Poster Closed-loop control of a crystallization process using morphology measurements 18.09.2013 Odense, Dänemark Schorsch Stefan Thomas; Ochsenbein David Richard; Mazzotti Marco; Morari Manfred
International Conference on Continuous Optimization Poster Optimization of particle morphology and batch time in a real crystallization process 27.07.2013 Lisbon, Portugal Mazzotti Marco; Schorsch Stefan Thomas; Morari Manfred; Ochsenbein David Richard
Annual Conference of the British Association of Crystal Growth Vortrag im Rahmen einer Tagung Growth rate parameter estimation and sensitivity analysis for multidimensional particle size measurements of desupersaturation experiments of β L-Glutamic acid 18.06.2013 Manchester, Grossbritannien und Nordirland Schorsch Stefan Thomas; Mazzotti Marco; Morari Manfred; Ochsenbein David Richard
Mettler Crystallization Symposium Vortrag im Rahmen einer Tagung Novel setup for image analysis based online measurement of multi-dimensional particle size distributions and application to parameter estimation during crystal growth 15.05.2013 Basel, Schweiz Ochsenbein David Richard; Schorsch Stefan Thomas; Morari Manfred; Mazzotti Marco
European Congress of Chemical Engineering Vortrag im Rahmen einer Tagung Image analysis based multidimensional particle size distribution measurement and PBE based parameter estimation of crystal growth 22.04.2013 The Hague, Niederlande Schorsch Stefan Thomas; Mazzotti Marco; Morari Manfred; Ochsenbein David Richard
Advanced Process Modelling Forum Poster Growth rate estimation of β L-Glutamic acid from online measurements of multidimensional particle size distributions 17.04.2013 London, Grossbritannien und Nordirland Ochsenbein David Richard; Schorsch Stefan Thomas; Mazzotti Marco; Morari Manfred
European Conference of Crystal Growth Vortrag im Rahmen einer Tagung Novel setup for the online measurement of multidimensional particle size distributions during crystal growth. 19.06.2012 Glasgow, Grossbritannien und Nordirland Mazzotti Marco; Schorsch Stefan Thomas
AICHE Meeting Vortrag im Rahmen einer Tagung Effects of additives in crystallization – characterization and monitoring. 15.10.2011 Minneapolis , Vereinigte Staaten von Amerika Mazzotti Marco; Schorsch Stefan Thomas
International Symposium on Industrial Crystallization Vortrag im Rahmen einer Tagung Online multidimensional PSD monitoring and PBE modeling of crystal growth 14.09.2011 Zurich, Schweiz Schorsch Stefan Thomas; Mazzotti Marco
International Workshop on Industrial Crystallization Poster Monitoring the solvent induced morphology change of Ibuprofen crystals by a novel on-line imaging setup 07.09.2011 Delft, Niederlande Schorsch Stefan Thomas; Mazzotti Marco


Verbundene Projekte

Nummer Titel Start Förderungsinstrument
155971 Crystallization: Optimal control and advanced monitoring 2.0 (CrystOCAM 2.0) 01.06.2015 Projektförderung (Abt. I-III)

Abstract

The CrystOCAM project aims at developing a new generation of tools to model, to measure and monitor online, to optimize and control the distribution of sizes and shapes of crystals of a suspension of particles and crystals during the crystallization from solution of organic compounds of interest for pharmaceutical, food and fine chemical applications. Crystallization is very often the key purification and pre-formulation step of products in the above mentioned industrial sectors. By tuning operating conditions mechanical properties such as tabletability and flowability, as well as features such as purity, chemical stability and bioavailability can be controlled. Such properties are critically influenced by the distribution of sizes and shapes of crystals, which must be characterized through the so called multi-dimensional particle size distribution (nD-PSD), i.e. the distribution of probabilities of the occurrence of certain combinations of two, three or more characteristic dimensions in the particle population. Describing, measuring and controlling in an optimal manner during process development, scale-up and operation such nD-PSD are at the same time major scientific and technical challenges and great opportunities to make an important change in product quality and process robustness in the crystallization of organic compounds. The proposed three-year project will rely on the expertise of three laboratories, in each of which one Ph.D. student will be working: crystallization know-how at the Separation Processes Laboratory (SPL) of Prof. Mazzotti at ETH Zurich; control knowledge at the Automatic Control Laboratory (IfA) of Prof. Morari at ETH Zurich; computer vision and optimization-based control expertise at the new Laboratoire d'Automatique LA) of Prof. Jones at EPF Lausanne. The project partners will tackle the challenges above by exploiting important and promising background knowledge, such as a microscopic flow-through cell recently developed at SPL that images individual crystals in suspension and provides sufficient information to reconstruct their three-dimensional structure, or the image analysis and shape reconstruction algorithms developed by Prof. Jones, or the model predictive control and robust control techniques mastered at IfA and already applied for complex optimal control tasks in chemical processes such as azeotropic distillation or multicolumn continuous chromatography. The following deliverables are expected: - Advanced vision algorithms capable of estimating the three-dimensional shape of individual crystals and therefore the nD-PSD of the crystal ensemble online during the crystallization process, so as to enable process monitoring - Dynamic models of the evolution of the nD-PSD during crystallization and protocols for the characterization of the rates of the key mechanisms involved (nucleation, growth, agglomeration), which will enhance the understanding of the evolution of size and shape during crystallization - An optimization-in-the-loop controller that will allow for the first time optimization and control of the final nD-PSD - A collection of experimental case studies that will assess and demonstrate the effectiveness of the tools developed within the project