Prediction of crystal size distributions in crystallizers with classified product removal
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Prediction of crystal size distributions in crystallizers with classified product removal

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Published by UMIST in Manchester .
Written in English


Book details:

Edition Notes

StatementS.J. Jancic ; supervisedby J.R. Himsworth.
ContributionsHimsworth, J. R., Chemical Engineering.
ID Numbers
Open LibraryOL21846575M

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Control of sustained limit‐cycle instability in crystal size distribution (CSD) was simulated for a class II (high yield) crystallizer equipped with a fines destruction system and product classifier. Control was simulated by proportional control of nuclei density using fines . Predictions of size distributions, mean sizes and coefficients of variation in mixed-suspension mixed-product removal crystallizers are presented for the case when crystal growth rate is given by. Zhang and Doherty [ Simultaneous prediction of crystal shape and size for solution crystallization. E. Jour –] have provided a one-dimensional analysis of crystallization based on the assumption that the relative face-specific growth rates of a (2-D) crystal are independent of supersaturation and hence invariant with by: Hence, prediction and control of crystal shape distribution are necessary for product design, quality control and economical operation point of view. This will further enable to develop and adopt the recent trend of Quality-by-Design (QbD) approaches as opposed to conventional Quality-by-Testing (QbT) techniques for designing products with Cited by:

Effect of residence time and suspension density on crystal size distributions in continuous crystallization Delmar Clarence, "Effect of residence time and suspension density on crystal size distributions in continuous crystallization "().Retrospective Theses and product removal, continuous crystallization was developed by Randolph. Modeling Industrial Crystallizers Kumar Dhanasekharan, Ph.D. Fluent Inc., 10 Cavendish Court, Lebanon, NH Phone: () x; Email: [email protected] One of the main challenges in industrial crystallizers is to control the crystal size distribution (CSD). CSD control is important to ensure product quality and successful operation of a. Precise tailoring of the crystal size distribution by controlled growth and continuous seeding from impinging jet crystallizers Xing Yi Woo,d Reginald B. H. Tanbc and Richard D. Braatz*ae Received 12th September , Accepted 31st October Crystal size distributions can be measured directly when crystals can be extracted quantitatively whole from a volume of rock—a rather unusual situation for most igneous rocks, ex-cept perhaps carbonatites. Success also has been achieved using X-ray tomography of rocks for minerals at low concen-Cited by:

Studies on Crystal Size Distributions in Continuous Steady State Mixed Suspension Crystallizer Effect of Classified Product Removal Terukatsu Miyauchi 1), Hiroshi Imai 1) 1) Department of Chem. Eng., Faculty of Eng., University of Tokyo Released /10/07 received /03/   Crystal size distribution (CSD) theory has been applied to drill core samples from Makaopuhi lava lake, Kilauea Volcano, Hawaii. Plagioclase and Fe-Ti oxide size distribution spectra were measured and population densities (n)were calculated and analyzed using a steady state crystal population balance equation: n=n 0 exp(-L/Gτ). Slopes on ln(n) versus crystal size (L) plots determine Cited by: The Crystal Size Distribution Technique Dr. Joaqu´ın Cort´es March 9, After the last EHaz week, I realized that it might be useful for some of you (and me!) to present a short introduction of the theory of the Crystal Size Distribution (CSD) technique, and what are the concepts Size: 94KB. 4 1 Characterization of Crystal Size Distribution Table Examples of shape factors. Geometric shape k v k s Sphere Tetrahedron Octahedron Hexagonal prism Cube Needle 5×1×1 Plate 10×10×1 Particle Size Distribution Moments The ith moment of a size Cited by: 2.