Experimental and CFD study on influence of viscosity on layer melt crystallization

Osmanbegovic, Nahla; Alopaeus, Ville; Han, Bing; Vuorinen, Ville; Louhi-Kultanen, Marjatta

doi:10.1016/j.seppur.2021.120170

Cited by 7 publications

(3 citation statements)

References 26 publications

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“…The minimum difference at the low growth rate is only about 0.3 °C, in which T sl can be replaced by the temperature of the melt. This is also consistent with the findings of many scholars. ,,, …”

Section: Resultssupporting

confidence: 93%

Prediction of the Layer Growth Rate in Static Melt Crystallization

Bai

Yang

et al. 2022

Ind. Eng. Chem. Res.

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The crystal layer growth rate is governed by the heat transfer in a layer melt crystallization process and is essential to the separation efficiency. Herein, a numerical model was proposed to predict the solid−liquid (S-L) interface temperature and the growth rate of the crystal layer. The heat transfer equation was taken as the governing equation, combining crystal layer growth kinetics, mass balance, and heat balance in the model which were solved using the finite volume method. The calculation results provided details of temperature distribution in the crystal layer, temperature of the moving S-L interface, and the layer growth rate. The simulated results were validated by experiments using P-xylene as the model substance. Finally, the crystal layer growth rate was found to be very sensitive to the seeding supercooling, especially at the early stage right after seeding. The proper seeding supercooling could be optimized by this model according to both the optimized crystal layer growth rate and productivity.

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Section: Resultssupporting

confidence: 93%

Prediction of the Layer Growth Rate in Static Melt Crystallization

Bai

Yang

et al. 2022

Ind. Eng. Chem. Res.

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“…Additionally, an industrial large-scale pharmaceutical production should consider the hydrodynamics of the crystallization process as another important factor. CFD simulations can be used as a powerful tool to optimize the reactor design, flow rate, agitation speed, and addition rate of species [106][107][108][109][110][111]. Both aspects mentioned require precise determination of the crystal's size, shape, polymorph, or other chemical/physical properties of the solution and species, which necessitate accurate in-line measurement tools.…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Recent Progress in Antisolvent Crystallization of Pharmaceuticals with a Focus on the Membrane‐Based Technologies

Haghighizadeh,

Mahdavi,

Rajabi

2024

Chem Eng & Technol

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Continuous crystallization of pharmaceuticals has been in the center of attention during the past two decades, with a more focus on the large‐scale production of active pharmaceutical ingredients. The increasing demand for pharmaceuticals requires high‐throughput production of drug crystals with different solubilities, stabilities, shapes, habits, polymorphs, and size distributions. With numerous advantages including low cost, ease of scale‐up, and superior control over polymorph and size distribution of drug crystals, antisolvent crystallization is one of the most promising crystallization methods recently attempted. However, it fails to deliver the required characteristic where the crystal systems tend to grow and for the preparation of metastable polymorphs. This review focuses on the most recent efforts to tackle these drawbacks by coupling antisolvent crystallization with cooling, supercritical‐assisted, microfluidics‐assisted, and membrane‐assisted crystallization. This systematic review aims to provide a concise summary of each coupled antisolvent technique and their positive and negative aspects. This review can be used as a guideline for pharmacist, biologists, and chemists, who are interested in the crystal engineering of pharmaceuticals to pave the way for further developments in this field.

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“…Note that in industrial conditions the solid concentration is high, up to 30 % weight [25] , [26] . Here, solute diffusion is impeded, and the delicate dance of β form nucleation is disrupted, leading to prolonged crystallization times and significant energy loss [27] , [28] . This intricacy gives rise to a host of challenges, including the inconsistency of batch crystallization, fluctuating quality, and a pronounced coefficient of variation [29] .…”

Section: Introductionmentioning

confidence: 99%