2018
DOI: 10.1002/ceat.201700651
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Discrimination between Single Crystals and Agglomerates during the Crystallization Process

Abstract: A setup for online measurement of crystallization processes was developed, where particle images were taken and in combination with artificial neural networks (ANNs) were used to convert the particle size distribution into populations of single crystals and agglomerates. For generation of an ANN that discriminates all particle sizes equally well, the training set composition was investigated while proportional similarity was applied for image descriptor selection. Adipic acid/water served as a model system. Th… Show more

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Cited by 25 publications
(21 citation statements)
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“…It could provide a feedback strategy and decision‐making tool in addition to the direct, classic monitoring function. The approach may be also improved for more general applications using sophisticated machine‐vision processing steps and neural networks .…”
Section: Resultsmentioning
confidence: 99%
“…It could provide a feedback strategy and decision‐making tool in addition to the direct, classic monitoring function. The approach may be also improved for more general applications using sophisticated machine‐vision processing steps and neural networks .…”
Section: Resultsmentioning
confidence: 99%
“…By the application of a peristaltic pump (Watson Marlow, d i = 6 mm, Pharmed) installed behind the flow cell to avoid solid attrition or breakage before measuring, the suspension was pumped through the cell (gap: 2 mm; 1024 × 1024 pixel resolution; module M6) and analyzed by the laser sensor. The image acquisition and quantification of PSD were executed by artificial neural networks implemented in MATLAB [30,31]. Furthermore, the distinction of single and non-single (aggregated & agglomerated) crystals as subpopulations of the overall PSD via particle classifier was made [30,31].…”
Section: Analyticsmentioning
confidence: 99%
“…The image acquisition and quantification of PSD were executed by artificial neural networks implemented in MATLAB [30,31]. Furthermore, the distinction of single and non-single (aggregated & agglomerated) crystals as subpopulations of the overall PSD via particle classifier was made [30,31]. In this case, collectives of primary particles arranged and connected via crystal bridges starting from a supersaturated suspension was named agglomerate, while, in the case of aggregates, weak interactions at the edges of the particles could be cemented together to form an agglomerate or could be disrupted again [32].…”
Section: Analyticsmentioning
confidence: 99%
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