Modelling of crystal growth of KDP in a 100dm3 suspension crystallizer using combination of CFD and multiblock model

Liiri, Maret; Hatakka, Henry; Kallas, Juha; Aittamaa, Juhani; Alopaeus, Ville

doi:10.1016/j.cherd.2009.12.004

Cited by 10 publications

(2 citation statements)

References 14 publications

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“…The CFD simulations were translated to a proper form and used as input data for the multiblock model. [7] Nowadays heterojunction crystal growth has presented its potential and become the focus of attention in crystal growth study. However, heterojunction crystal growth usually brings the problems of lattice mismatch and substrate constraint.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous growth of KDP/KT crystal

Wang¹,

Shi²,

Zhang³

et al. 2017

Chinese Phys. B

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The growth of heterogeneous crystal has aroused a great deal of interest in recent years. In this study, KH 2 PO 4 (KDP)/KTaO 3 (KT) heterogeneous crystal is acquired based on the KT substrate. Here, we report the observation of the oriented layer-by-layer structure in KDP/KT composite crystal by scanning electron microscopy (SEM). The structure of KDP/KT composite crystal is accurately identified by transmission electron microscopy (TEM) for the first time and we find that the KT crystals dope into KDP crystal in the growth process with the mode of doping. It can be obtained from the analysis of crystal structure that the structure difference leads to the doping growth mode. Our research demonstrates a facile method to fabricate a composite nonlinear optical crystal based on KDP/KT heterostructure, and might shed light on potential applications of the composite nonlinear optical crystal.

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Section: Introductionmentioning

confidence: 99%

Heterogeneous growth of KDP/KT crystal

Wang¹,

Shi²,

Zhang³

et al. 2017

Chinese Phys. B

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“…Liiri et al 17 investigated local hydrodynamics and KDP crystal growth in a 100 dm 3 suspension crystallizer equipped with two Rushton turbine impellers. The authors used a combination of CFD with a multiblock model involving 66 compartments and 26 crystal size classes to simulate crystal growth.…”

Section: Introductionmentioning

confidence: 99%

Coupled Computational Fluid Dynamics–Discrete Element Method Simulations of a Pilot-Scale Batch Crystallizer

Ali

Börner

Peglow

et al. 2014

Crystal Growth & Design

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Computational fluid dynamics (CFD) coupled with the discrete element method (DEM) has been used to investigate numerically crystal dynamics in an existing pilot-scale batch crystallizer. The CFD-DEM combination provides a detailed description of crystal dynamics considering a four-way coupling. In a previous analysis, 1 CFD had been coupled with a discrete phase model (DPM) using a simple one-way coupling. The corresponding predictions are then compared with those obtained through four-way coupling considering KH 2 PO 4 crystals in water. From the CFD-DEM simulation, it is possible to investigate quantitatively the driving force controlling crystal growth and the interaction of crystals with reactor walls, baffles, and impellers. This delivers essential data for process improvement. Different seeding procedures were also compared. The seed crystals have been injected either within the complete liquid volume or, as in the experiments, through a funnel. By varying the most important crystallization process parameters, we found optimal conditions for a liquid phase volume in the crystallizer of 24 L, for injection through a funnel above the baffle, and for an initial seed crystal size of 0.5 mm.

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