Crystal Growth in Drowning-Out Crystallization using a T-Mixer

Kim, Kwang‐Joo

doi:10.1002/ceat.200600124

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Penetrative elements such as hydrogen and helium can diffuse into these irradiation‐induced defect cavities, resulting in the so‐called helium embrittlement of material. [ 1–11 ]…”

Section: Introductionmentioning

confidence: 99%

Microstructure of High‐Chromium Ferritic–Martensitic Steels for Next‐Generation Reactors

Košovský,

Dekan,

Sedlačková

et al. 2023

Physica Status Solidi (b)

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High‐chromium steels are key alloys used for the construction of technological devices in industry. Stainless steels are suitable for components that are exposed to a corrosive environment for a long time because chromium has anticorrosion properties due to segregation of chromium and the formation of a passivation layer. The physicochemical properties of the surface and the bulk of the material as well are determined by microstructure. Herein, steel NS219 is focused on, where the chromium concentration is around 13.5 wt%. In order to study the microstructure of steel, Mössbauer spectroscopy is used. Experimental results are evaluated using the binomial distribution model of the probability distribution of atoms in the nearest neighbor of the resonant atom 57Fe. Obtained spectral parameters, viz., the average magnetic hyperfine field, the average isomer shift, and the probability of the atomic configuration with no impurity atoms in the two‐shell vicinity of the iron atoms, reach saturation values from which the solubility limit of chromium in iron can be determined. On the other hand, the solubility limit of iron in Cr‐rich phase can be estimated from the value of the isomer shift of the single‐line in the spectrum annealed for the longest time.

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“…Penetrative elements such as hydrogen and helium can diffuse into these irradiation‐induced defect cavities, resulting in the so‐called helium embrittlement of material. [ 1–11 ]…”

Section: Introductionmentioning

confidence: 99%

Microstructure of High‐Chromium Ferritic–Martensitic Steels for Next‐Generation Reactors

Košovský,

Dekan,

Sedlačková

et al. 2023

Physica Status Solidi (b)

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“…Many devices which have been studied for solvent-antisolvent precipitation processes can provide intensified mixing with low mixing times. These include confined impingement jet reactors (CIJR) [30], microreactors [31][32][33][34], oscillatory baffled reactors (OBR) [35,36] and rotating packed beds (RPB) [37,38]. For instance, Valente et al (2012) investigated the scale-up of confined impinging jet mixers (CJIM) for the solvent-antisolvent precipitation of polymer nanoparticles [39].…”

Section: Introductionmentioning

confidence: 99%

Empirical Modelling of Hydrodynamic Effects on Starch Nanoparticles Precipitation in a Spinning Disc Reactor

2020

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Empirical correlations have been developed to relate experimentally determined starch nanoparticle size obtained in a solvent–antisolvent precipitation process with key hydrodynamic parameters of a spinning disc reactor (SDR). Three different combinations of dimensionless groups including a conventional Reynolds number (Re), rotational Reynolds number (Reω) and Rossby number (Ro) have been applied in individual models for two disc surfaces (smooth and grooved) to represent operating variables affecting film flow such as liquid flowrate and disc rotational speed, whilst initial supersaturation (S) has been included to represent varying antisolvent concentrations. Model 1 featuring a combination of Re, Reω and S shows good agreement with the experimental data for both the grooved and smooth discs. For the grooved disc, Re has a greater impact on particle size, whereas Reω is more influential on the smooth disc surface, the difference likely being due to the passive mixing induced by the grooves irrespective of the magnitude of the disc speed. Supersaturation has little impact on particle size within the limited initial supersaturation range studied. Model 2 which characterises both flow rate and disc rotational speed through Ro alone and combined with Re was less accurate in predicting particle size due to several inherent limitations.

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“…In the process of producing pharmaceutical substances, crystal size distribution (CSD) needs to be regulated because the quality of products is remarkably affected by CSD , . CSD can be determined according to a balance between nucleation and growth of crystals , . In this study, numerical simulation of the seeded batch cooling crystallization process of active pharmaceutical ingredients (APIs) was performed.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Kinetics for Batch Cooling Crystallization by Focused‐Beam Reflectance Measurements

et al. 2019

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Numerical simulation of the seeded batch cooling crystallization process of active pharmaceutical ingredients was performed. Crystal size distribution was observed by focused-beam reflectance measurements and concentration by simultaneous Fourier transform infrared spectroscopy. First, kinetic parameters were estimated. Nucleation rate coefficient and order were estimated from the linear regression equation between cooling rate and metastable zone width. The remaining parameters were estimated from the evaluation function. Then, the numerical simulation was performed by utilizing the method of moments. Finally, observed data were compared with simulated data. The simulated values of mean mass size corresponded reasonably with the observed ones.An ethanolic solution of acetaminophen (CH 3 CONHC 6 H 4 OH, AAP) and an aqueous solution of L-arginine (C 6 H 14 N 4 O 2 , Arg) were selected as target substances. Physical properties of these substances are listed in Tab. 1.

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Crystal Growth in Drowning-Out Crystallization using a T-Mixer

Cited by 5 publications

References 10 publications

Microstructure of High‐Chromium Ferritic–Martensitic Steels for Next‐Generation Reactors

Microstructure of High‐Chromium Ferritic–Martensitic Steels for Next‐Generation Reactors

Empirical Modelling of Hydrodynamic Effects on Starch Nanoparticles Precipitation in a Spinning Disc Reactor

Estimation of Kinetics for Batch Cooling Crystallization by Focused‐Beam Reflectance Measurements

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