Using deepest regression method for optimization of fluidized bed granulation on semi-full scale
نویسندگان
چکیده
منابع مشابه
Granulation Time in Fluidized Bed Granulators
Size enlargement of fine powders by wet granulation involves mixing of fine particles with a binder liquid to form larger wet granules and drying them by evaporation of the binder liquid to form larger dry granules. Identification of the time for completion of granulation process is critical as further mixing of dry granules is providing extra energy for their attrition. In a batch fluidized be...
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Here, we statistically identified the critical factor of the granulation rate during the fluidized bed granulation process. Lactose was selected as the excipient and was granulated with several binders, including hydroxypropyl cellulose, hydroxypropyl methyl cellulose, and polyvinylpyrrolidone. The viscosity, density, and surface tension of the binder solution, contact angle, and the work done ...
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A multi-scale three-stage population balance model (TSPBM) was developed in combination with the multivariate projection models to obtain the unknown kernel constants in population balance model (PBM), considering the batch and multi-stage characteristics of the top-spray fluidized bed granulation process. Partial least square (PLS) regression is adopted as the particle-scale modeling method in...
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A Chebyshev super spectral viscosity method and operator splitting are used to solve a hyperbolic system of conservation laws with a source term modeling a fluidized bed. The fluidized bed displays a slugging behavior which corresponds to shocks in the solution. A modified Gegenbauer postprocessing procedure is used to obtain a solution which is free of oscillations caused by the Gibbs–Wilbraha...
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ژورنال
عنوان ژورنال: International Journal of Pharmaceutics
سال: 2003
ISSN: 0378-5173
DOI: 10.1016/s0378-5173(03)00162-5