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Zhang, R; Ma, CY; Liu, JJ; Zhang, Y; Liu, YJ; Wang, XZ (2017)
Publisher: Elsevier
Languages: English
Types: Article
Subjects:

Classified by OpenAIRE into

arxiv: Computer Science::Computer Vision and Pattern Recognition
The principle that the 3D shape of crystals that grow from a solution can be characterised in real-time using stereo imaging has been demonstrated previously. It uses the 2D images of a crystal that are obtained from two or more cameras arranged in defined angles as well as a mathematical reconstruction algorithm. Here attention is given to the development of a new and more robust 3D shape reconstruction method for complicated crystal structures. The proposed stereo imaging camera model for 3D crystal shape reconstruction firstly rotates a digitised crystal in the three-dimensional space and varies the size dimensions in all face directions. At each size and orientation, 2D projections of the crystal, according to the angles between the 2D cameras, are recorded. The contour information of the 2D images is processed to calculate Fourier descriptors and radius-based signature that are stored in a database. When the stereo imaging instrument mounted on a crystalliser captures 2D images, the images are segmented to obtain the contour information and processed to obtain Fourier descriptors and radius-based information. The calculated Fourier descriptors and radius-based signature are used to find the best matching in the database. The corresponding 3D crystal shape is thus found. Potash alum crystals that each has 26 habit faces were used as a case study. The result shows that the new approach for 3D shape reconstruction is more accurate and significantly robust than previous methods. In addition, the growth rates of {111}, {110} and {100} faces were correlated with relative supersaturation to derive models of facet growth kinetics.
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    • Lovette, M.A., Browning, A.R., Griffin, D.W., Sizemore, J.P., Snyder, R.C., Doherty, M.F., 2008. Crystal shape engineering. IndustrialEngineeringChemistryResearch 47, 9812-9833.
    • Lu, G., Sajjanhar, A., 1999. Region-based shape representation and similarity measure suitable for content-based image retrieval. Multimedia Systems 7, 165-174.
    • Ma, C.Y., Liu, J.J., Wang, X.Z., 2015. Stereo imaging of crystal growth. AIChE Journal 62, 18 25.
    • Ma, C.Y., Liu, J.J., Wang, X.Z., 2016. Measurement, modelling, and closed-loop control of crystal shape distribution: Literature review and future perspectives. Particuology 26, 1-18.
    • Ma, C.Y., Wang, X.Z., 2012a. Closed-loop control of crystal shape in cooling crystallization of lglutamic acid. Journal of Process Control 22, 72-81.
    • Ma, C.Y., Wang, X.Z., 2012b. Model identification of crystal facet growth kinetics in morphological population balance modeling of L-glutamic acid crystallization and experimental validation. Chemical Engineering Science 70, 22-30.
    • Ma, C.Y., Wang, X.Z., Roberts, K.J., 2008. Morphological population balance for modeling crystal growth in face directions. Aiche Journal 54, 209-222.
    • Nollet, S., Hilgers, C., Urai, J.L., 2006. Experimental study of polycrystal growth from an advecting supersaturated fluid in a model fracture. Geofluids 6, 185-200.
    • Patience, D.B., Rawlings, J.B., 2001. Particle-shape monitoring and control in crystallization processes. AIChE Journal 47, 2125-2130.
    • Persoon, E., King-Sun, F., 1977. Shape Discrimination Using Fourier Descriptors. Systems, Man and Cybernetics, IEEE Transactions on 7, 170-179.
    • PharmaVision(Qingdao)Ltd, www.pharmavision-ltd.com, accessed September 2016.
    • Ristic, R.I., Shekunov, B., Shewood, J.N., 1996. Long and short period growth rate variations in potash alum crystals. Journal of Crystal Growth 160, 330-336.
    • Ristic, R.I., Shekunov, B.Y., Sherwood, J.N., 1997. The influence of synchrotron radiationinduced strain on the growth and dissolution of brittle and ductile materials. Journal of Crystal Growth 179, 205-212.
    • Schorsch, S., Ochsenbein, D.R., Vetter, T., Morari, M., Mazzotti, M., 2014. High accuracy online measurement of multidimensional particle size distributions during crystallization. Chemical Engineering Science 105, 155-168.
    • Schorsch, S., Vetter, T., Mazzotti, M., 2012. Measuring multidimensional particle size distributions during crystallization. Chemical Engineering Science 77, 130-142.
    • Schwarzenbach, D., 1997. Crystallography, first ed. Wiley.
    • Wan, J., Ma, C.Y., Wang, X.Z., 2008. A method for analyzing on-line video images of crystallization at high-solid concentrations. Particuology 6, 9-15.
    • Wan, J., Wang, X.Z., Ma, C.Y., 2009. Particle shape manipulation and optimization in cooling crystallization involving multiple crystal morphological forms. AIChE Journal 55, 2049-2061.
    • Zhang, Y., Sizemore, J.P., Doherty, M.F., 2006. Shape evolution of 3-dimensional faceted crystals. AIChE Journal 52, 1906-1915.
    • Zhao, J., Wang, M., Dong, B., Feng, Q., Xu, C., 2013. Monitoring the Polymorphic Transformation of Imidacloprid Using in Situ FBRM and PVM. Organic Process Research & Development 17, 375-381.
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