A Short-Cut Method for the Quantification of Crystallization Kinetics. 1. Method Development

Temmel, Erik; Eisenschmidt, Holger; Lorenz, Heike; Sundmacher, Kai; Seidel‐Morgenstern, Andreas

doi:10.1021/acs.cgd.6b00787

Cited by 14 publications

(30 citation statements)

References 22 publications

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“…These experiments provide several combinations of temperature and supersaturation during one experiment and therefore an efficient investigation of the desired kinetics over the considered range of process conditions. The first part of this study [4] demonstrated the feasibility of a simple short-cut-method exploiting in silico data of a few seeded batch-crystallizations. This idea will be applied in the present study to three different substance systems, namely potassium aluminum sulphate dodecahydrate (KAL), potassium dihydrogen phosphate (KDP) and ortho aminobenzoic acid (oABA).…”

Section: Introductionmentioning

confidence: 89%

“…The idea, which will be discussed in this contribution, is to use easily available experimental information about crystallization processes that can be acquired performing a few well planned cooling batch-experiments to quantify 1-dimensional crystallization kinetics [4]. The main task is therefore not to elucidate the underlying mechanism in detail but to provide sufficient information for a process design.…”

Section: Short-cut-methodsmentioning

confidence: 99%

“…The relative supersaturation (S, Fig. 1 c) during the crystallization process is calculated [4] based on the temperature (T, Fig. 1 a) and the measured concentration (c, Fig.…”

Section: Figmentioning

confidence: 99%

“…The seed crystal fraction broadens due to GRD during the course of the process, which leads to change of the standard deviation of seed distribution. Nevertheless, this does not influence the presented method since only the crystal mean length is utilized as the input information to estimate the growth parameters [4]. Furthermore, outliers are visible (small peaks at L>500 µm) that are most likely caused by agglomerates or air bubbles which passed the image processing routine.…”

Section: Cryst Regionmentioning

confidence: 99%

“…These methods require an extensive amount of experiments, additionally to their specific limitations [2,3], to quantify nucleation, growth or dissolution rates for a certain range of supersaturation and temperature. Therefore, it is convenient to measure the required information in polythermal bulk crystallizations under consideration of the liquid and solid phase evolution for practical applications [4,5]. These experiments provide several combinations of temperature and supersaturation during one experiment and therefore an efficient investigation of the desired kinetics over the considered range of process conditions.…”

Section: Introductionmentioning

confidence: 99%

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A Short-Cut Method for the Quantification of Crystallization Kinetics. 2. Experimental Application

Temmel

Eicke

Lorenz

et al. 2016

Crystal Growth & Design

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For the design of crystallization processes, the specific substances have to be characterized in terms of their thermodynamic properties but also with respect to the corresponding crystallization kinetics. In an accompanying theoretical study, a short-cut-method was suggested and demonstrated for the quantification of different kinetic mechanisms, i.e. growth, dissolution and nucleation. Here, this method will be utilized for the estimation of parameters comprised in kinetic sub-models for three different substances. The experimental procedures as well as the data analysis will be discussed and the quality of the parameter estimates will be evaluated by comparing predictions of a population balance model using the identified parameters with the results of corresponding validation experiments. AbstractFor the design of crystallization processes, the specific substances have to be characterized in terms of their thermodynamic properties but also with respect to the corresponding crystallization kinetics. In an accompanying theoretical study, a shortcut-method was suggested and demonstrated for the quantification of different kinetic mechanisms, i.e. growth, dissolution and nucleation. Here, this method will be utilized for the estimation of parameters comprised in kinetic sub-models for three different substances. The experimental procedures as well as the data analysis will be discussed and the quality of the parameter estimates will be evaluated by comparing predictions of a population balance model using the identified parameters with the results of corresponding validation experiments.

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Section: Introductionmentioning

confidence: 89%

Section: Short-cut-methodsmentioning

confidence: 99%

“…The relative supersaturation (S, Fig. 1 c) during the crystallization process is calculated [4] based on the temperature (T, Fig. 1 a) and the measured concentration (c, Fig.…”

Section: Figmentioning

confidence: 99%

Section: Cryst Regionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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