2023
DOI: 10.1002/ceat.202200539
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Process Simulation of Twin‐Screw Granulator: Effect of Screw Configuration on Size Distribution

Abstract: The effect of screw configuration on granule size distribution (GSD) using gPROMS FormulatedProduct (gFP) software to perform optimization, estimation of complex processes, and analyses is evaluated. Twin‐screw granulation modeling was used to investigate the contribution of screw configuration and liquid‐to‐solid (L/S) ratio on GSD. Lactose and Avicel were the granulating materials. Twelve different configurations were investigated under three feed rates as consistent with literature and at various L/S ratios… Show more

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Cited by 2 publications
(1 citation statement)
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“…The PBM, in either its one-dimensional or multi-dimensional form, has been utilised to forecast the progressive alterations in granule characteristics, including granule size distribution, moisture content, density, and porosity [ 6 ]. Equation (1) represents the general equation for the PBM, Equation (2) illustrates the concept of particles in a specific region of the particle phase, and Equation (3) provides a generic depiction of the super-structure of the PBM [ 53 ]. where is the particle velocity, is the number of density particles, with the particles’ birth rate and death rate being , respectively.…”
Section: Modelling and Simulation Of Wet Granulationmentioning
confidence: 99%
“…The PBM, in either its one-dimensional or multi-dimensional form, has been utilised to forecast the progressive alterations in granule characteristics, including granule size distribution, moisture content, density, and porosity [ 6 ]. Equation (1) represents the general equation for the PBM, Equation (2) illustrates the concept of particles in a specific region of the particle phase, and Equation (3) provides a generic depiction of the super-structure of the PBM [ 53 ]. where is the particle velocity, is the number of density particles, with the particles’ birth rate and death rate being , respectively.…”
Section: Modelling and Simulation Of Wet Granulationmentioning
confidence: 99%