Manipulation of Particle Morphology by Crystallization, Milling, and Heating Cycles—A Mathematical Modeling Approach

Salvatori, Fabio; Mazzotti, Marco

doi:10.1021/acs.iecr.7b02070

Cited by 37 publications

(53 citation statements)

References 30 publications

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“…To tune the shape and the size of the crystals, various alternatives have been proven to be effective. Use of additives, , comminution, , temperature cycling, − and combination thereof − have been reported in the literature and are implemented at the industrial scale. , The reduction in the amount of fine particles, which are generated by nucleation or by milling of the crystals, is generally accomplished by applying temperature cycling. ,, The major challenge of this approach is that, in order to achieve a good control over the process, reliable knowledge of thermodynamic and kinetic data is mandatory. In fact, although the processing of the suspension with an empirical protocol may be satisfactorily effective, it may be far from optimal .…”

Section: Introductionmentioning

confidence: 99%

A Selective Dissolution Process Featuring a Classification Device for the Removal of Fines in Crystallization

Binel

Mazzotti

2020

Ind. Eng. Chem. Res.

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The presence of fine crystals is a common condition that may hinder the downstream processing of a powder obtained through a crystallization process. This study investigates through simulations a process featuring a hydrocyclone for their removal. Hydrocyclones, solid–liquid separation devices widely applied in several fields of chemical engineering, enable the classification of suspended solids based on their size. The classification step allows for a selective dissolution of the fine crystals, thus leading to a more efficient process when compared to a simpler temperature cycle, where partial dissolution of larger crystals is deliberately though reluctantly accepted. A pathway for the selection of a suitable hydrocyclone design is outlined, and a novel graphical tool useful to describe the performance of the device for the fines separation task is presented. The selection of the operating variables and their operating window is discussed, and their effect on the overall process is elucidated. The design space and the performance of the selective fines removal process is investigated by coupling for the first time the detailed modeling of fines dissolution by heating and crystallization by cooling, both based on population balance equations, and the hydrocyclone behavior, for which an established model due to Braun is used. Simulation runs are presented for different scenarios and allow assessing the process performance in terms of reductions of fines, processing time, and energy demand, thus providing a valuable insight into its applicability.

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Section: Introductionmentioning

confidence: 99%

A Selective Dissolution Process Featuring a Classification Device for the Removal of Fines in Crystallization

Binel

Mazzotti

2020

Ind. Eng. Chem. Res.

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“…New applications of this model framework are continuously developed in various fields, e.g. for the description of crystallization-based enantioseparation processes like Viedma Ripening or Preferential Crystallization [3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Measurement and Evaluation of the Crystallization Kinetics of l-Asparagine Monohydrate in the Ternary l-/d-Asparagine/Water System

Temmel

Gänsch

Lorenz

et al. 2018

Crystal Growth & Design

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Growth kinetics of L-asparagine monohydrate in racemic aqueous solutions as well as nucleation, growth and dissolution kinetics of the same enantiomer crystallized from pure Lasparagine solutions are measured and the kinetic parameters are estimated applying a recently developed shortcut-method. The corresponding experimental procedure is based on a small number of preferential (seeded) cooling crystallizations where the crystal size distribution is monitored with an online microscope. Afterwards, image analysis yields the transient particle size evolution of initially provided crystals, from which the response of the solid phase to the liquid phase driving force can be extracted. Subsequently, parameter estimation is carried out applying this data together with the information of concentration and composition of the liquid phase, to discriminate between different model approaches. The kinetics are validated finally with independent experiments to evaluate their quality. It is proven that growth kinetics of L-and D-asparagine monohydrate from water are identical. In contrast, it can be shown and quantified, that growth kinetics from racemic and enantiopure solutions of asparagine differ significantly from each other. The corresponding calculation of the driving force of enantiomeric systems is discussed in detail by means of ternary phase diagrams.

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“…Seed size generally refers to the characteristic seed length, which includes the number-mean size ( d 10 ), Sauter mean diameter ( d 32 ), and weight mean crystal size ( d 43 ) for the bulk of the seeds. The seed-size distribution is usually described by the number CSD or volume CSD, which is also commonly approximated by Gaussian distribution, log-normal distribution, gamma distribution, or a combination of these terms, as shown in the references. , The SLR can vary from as low as 0.1% to as high as 10%, the value of which is dependent on the seed size and product requirements…”

Section: Progress and Problems In Seeding Techniquesmentioning

confidence: 99%

Progress and Opportunities for Utilizing Seeding Techniques in Crystallization Processes

Zhang

Shan

Wang

et al. 2021

Org. Process Res. Dev.

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Seeding is a significant but challenging task for optimizing crystallization process operation, product quality, and process efficiency. With the development of modern crystallization technology, there have been considerable advancements in seeding techniques in recent years. This article elaborates on how seeds affect the crystallization process, clarifies the qualitative connection between seeding parameters, defines the variables and product quality attributes based on a variable-based causal graph, and analyzes various possible factors that result in seeding-technique failure based on an Ishikawa diagram. The development of seeding-technique studies and existing problems are then systematically reviewed and discussed based on the qualitative and quantitative characteristics of seeds and the factors that influence seeding efficiency. Based on extensive research accomplishments, the challenges and opportunities for utilizing seeding techniques are analyzed, and potentially valuable seeding-technique topics and directions for improving crystallization are presented. In addition, a framework to guide seed recipe design and optimization is defined by combining simulation and experimental verification.

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Manipulation of Particle Morphology by Crystallization, Milling, and Heating Cycles—A Mathematical Modeling Approach

Cited by 37 publications

References 30 publications

A Selective Dissolution Process Featuring a Classification Device for the Removal of Fines in Crystallization

A Selective Dissolution Process Featuring a Classification Device for the Removal of Fines in Crystallization

Measurement and Evaluation of the Crystallization Kinetics of l-Asparagine Monohydrate in the Ternary l-/d-Asparagine/Water System

Progress and Opportunities for Utilizing Seeding Techniques in Crystallization Processes

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