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  Experimental Investigation of Crystal Shape Evolution During Growth and Dissolution

Singh, M. R., Boerrigter, S. X. M., Borchert, C., Sundmacher, K., & Ramkrishna, D. (2011). Experimental Investigation of Crystal Shape Evolution During Growth and Dissolution. Talk presented at 2011 AIChE Annual Meeting. Minneapolis, USA. 2011-10-16 - 2011-10-21.

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資料種別: 講演

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 作成者:
Singh, M. R.1, 著者
Boerrigter, S. X. M.1, 著者
Borchert, Christian2, 著者           
Sundmacher, Kai2, 3, 著者           
Ramkrishna, D.1, 著者
所属:
1School of Chemical EngineeringPurdue UniversityWest LafayetteIndia, ou_persistent22              
2Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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 要旨: Controlling crystal morphology is a hot topic in current research on crystalline materials for diverse industrial applications. In this connection, experimental detection of polymorphs through on-line measurement of crystal morphology in a crystallizer is a problem of crucial interest. XRD and Raman Spectroscopy are generally accepted as a primary method to identify polymorphs. We present evidence of a new, strikingly simple and inexpensive method of identifying polymorphs through computer-aided analysis of images produced with a Confocal microscope. This methodology has the following features.

A software with an automated program for polymorph detection integrated with a Confocal microscope which can be used for on-line monitoring and control of particle shape, size and polymorph content.
Different polymorphs can be identified by recognizing inter-planar angular patterns specific to a given polymorph. It yields the absolute amounts of different polymorphs present in a population of crystals.
It has the potential for on-line measurement of 2D and 3D crystals of complex shapes.

Consequently, this methodology can:

Replace currently used FBRM (focused-beam reflectance measurement), digital video imaging and microscopy based sensors that have limitations with real shapes.
Eliminate the need for multiple sensors currently used in industry.

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言語: eng - English
 日付: 2011
 出版の状態: 不明
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 識別子(DOI, ISBNなど): eDoc: 572786
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イベント名: 2011 AIChE Annual Meeting
開催地: Minneapolis, USA
開始日・終了日: 2011-10-16 - 2011-10-21

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