2005
DOI: 10.1002/aic.10410
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Real‐time product morphology monitoring in crystallization using imaging technique

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Cited by 99 publications
(38 citation statements)
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“…Recently, 2D [8,13,14,39,40] and morphologically based [41][42][43] population balance models have been developed. The latter case offers a significant improvement in that the multi-dimensional characteristic lengths are defined with respect to the growth rates of the individual crystal habit faces.…”
Section: Overall Linear Growth Ratementioning
confidence: 99%
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“…Recently, 2D [8,13,14,39,40] and morphologically based [41][42][43] population balance models have been developed. The latter case offers a significant improvement in that the multi-dimensional characteristic lengths are defined with respect to the growth rates of the individual crystal habit faces.…”
Section: Overall Linear Growth Ratementioning
confidence: 99%
“…This approach has been enhanced through the use of stroboscopic techniques together with computational methods for analysis of crystallisation processes within agitated batch vessels [7][8][9][10]. High speed imaging processes has also been used to capture high resolution images on-line and perform real-time, in situ particle analysis [10,13,14,54].…”
Section: Crystal Growth Rate Measurement Techniquesmentioning
confidence: 99%
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“…Compared with the laser-based method which is commonly used for crystal size measurement [13][14][15], challenges in the study of crystal size by electrical impedance spectroscopy exist because the impedance data is easily affected by several factors, such as the concentration of the solid LGA phase, the concentration of solute, temperature and crystal size [16]. The relationship between the crystal size and electrical impedance spectra can't be obtained straightforwardly, but has to rely on the establishing and solving of mathematical model.…”
Section: Introductionmentioning
confidence: 99%
“…Effort was also made to extract particle shape information from FBRM CLD measurements such as the imaginative work of (Ma et al, 2001;Yamamoto et al, 2002), but concern remains on the magnitude of error that is introduced in the conversion from CLD to crystal shape. Microscopy imaging is considered as probably the most promising technique for measuring particle shape since one can see the shape of the particles, as a result has attracted much attention in recent years De Anda et al (Calderon De Anda et al, 2005a;Calderon De Anda et al, 2005b;De Anda et al, 2005), Wang et al (Wang et al, 2007) and Larsen et al (Larsen and Rawlings, 2009;Larsen et al, 2006Larsen et al, , 2007 used a GSK imaging system with non-invasive high-speed camera to record images and monitor the particle shape and size in a stirred batch crystalliser. Zhou et al (Zhou et al, 2011;Zhou et al, 2009) used image analysis to automatically extract the maximum possible information from in situ digital particle vision and measurement (PVM) images, which was employed to monitor particle shape and size distribution on-line.…”
Section: Introductionmentioning
confidence: 99%