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Measurement of agglomerate shape using three-dimensional reconstruction based on a laser displacement sensor

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The agglomeration of particles is a process that modifies the physical properties of a product originally manufactured as a powder. During milk powder agglomeration of fluidized bed, resulting agglomerates are sufficiently porous to improve the solubility of the final product but, at the same time, their rigidity decreases and agglomerates can be destroyed during packing. The porosity and rigidity properties depend on both the volume and shape characteristics of the agglomerates. This paper presents a three-dimensional reconstruction technique based on a laser displacement sensor (LDS) applied to characterize milk agglomerates. This technique allows three-dimensional scanning to estimate particle volume and extract shape parameters such as: sphericity, elongation and flatness ratio, shape factor and aspect ratio. This technique was implemented using a mechatronic device with two degrees of freedom. The device is composed of an angular positioning system to rotate the agglomerate and a linear positioning system to displace the LDS. Experimental result allows agglomerates classification according to shape parameters.
Rocznik
Strony
407--418
Opis fizyczny
Bibliogr. 17 poz., rys., tab., wykr., wzory
Twórcy
  • Instituto Politecnico Nacional, CICATA Unidad Queretaro, Cerro Blanco 141, Colinas del Cimatario, 76090-Queretaro, Mexico
  • Instituto Politecnico Nacional, CICATA Unidad Queretaro, Cerro Blanco 141, Colinas del Cimatario, 76090-Queretaro, Mexico
  • Universidad Autonoma de Queretaro, Cerro de las Campanas, 76010-Queretaro, Mexico
autor
  • Agroparistech UMR GenIA1 1145, 1 avenue des Olympiades, 91744-Massy, France
Bibliografia
  • [1] Schubert H. (1987). Food particle technology: Part I. Properties of particles and particulate food systems. Journal Food Engineering, 6(1), 1-32.
  • [2] Mekki B.K., Pons M.N., Falk V., Vivier H. (2002). Recherche de relations entre la coulabilite et la morphologie des poudres, Groupe “solides divises” de la SFGP.
  • [3] Tanguy P.A., Thibault F., Dubois C., Ait-Kadi A. (1999). Mixing hydrodynamics in a double planetary mixer. Chemical Engineering Research and Design, 77(4), 318-324.
  • [4] Valdek M., Helmo K., Priit K., Michal B. (2001). Characterization of Powder Particle Morphology. Proc. Estonian Acad. Sci. Eng., 7(1), 22-34.
  • [5] Turchiuli C., Eloualia Z., El-Mansouri N., Dumoulin E. (2005). Fluidised bed agglomeration: Agglomerates shape and end-user properties. Powder Technology, 157(1-3), 168-175.
  • [6] Pawley J.B. (2006). Handbook of Biological Confocal Microscopy, 3rd ed. Springer, Berlin.
  • [7] Emeruwa E., Jarrige J., Mexmain J., Bernardin M. (1991). Application of mercury porosimetry to powder (UO2) analysis. Journal of Nuclear Materials, 184(1), 53-58.
  • [8] Hogekamp S., Pohl M. (2003). Porosity measurement of fragile agglomerates. Powder Technology. 130, 385-392.
  • [9] Turchiuli C., Castillo C.E. (2009). Agglomerates structure characterization using 3D-image reconstruction. Particle and Particle Systems Characterization, 26, 25-33.
  • [10] Castillo C.E., Turchiuli C. (2008). Volume estimation of small particles using three-dimensional reconstruction from multiple views. ICISP ‘08 Proc. of the 3rd International Conference on Image and Signal Processing, 218-225.
  • [11] Saad M., Sadoudi A., Rondet E., Cuq B. (2011). Morphological characterization of wheat powders, How to characterize the shape of particles?. Journal Food Engineering, 102, 293-301.
  • [12] Alander E.M., Uusi-Penttila M.S., Rasmuson A.C. (2003). Characterization of paracetamol agglomerates by image analysis and strength measurement. Powder Technology, 130, 298-306.
  • [13] Realpe A., Velazquez C. (2006). Pattern recognition for characterization of pharmaceutical powders. Powder Technology, 169, 108-113.
  • [14] http://www.keyence.com/products/measure/laser/laser.php (December 2011).
  • [15] Yuichi H., Takashi O. (2005). Evaluation of gravel sphericity and roundness based on surface-area measurement with a laser scanner. Computers and Geosciences, 31, 735-741.
  • [16] Wozniak M., Onofri F.R.A., Barbosa S., Yon J., Mroczka J. (2012), Comparison of methods to derive morphological parameters of multi-fractal samples of particle aggregates from TEM images. Journal of Aerosol Science, 47, 12-26.
  • [17] Mroczka J., Woźniak M., Onofri F.R.A. (2012), Algorithms and methods for analysis of the optical structure factor of fractal aggregates. Metrology and Measurement Systems, XIX (3), 459-470.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-35269c69-d4c4-4a00-82b6-33d36bd79cd0
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