2011
DOI: 10.1007/s11051-011-0635-1
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Aggregation modeling of calcium carbonate particles by Monte Carlo simulation

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Cited by 9 publications
(4 citation statements)
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“…It can be observed that the particle shapes are either spindle or spherical. The spindle particles should be calcite, and the spherical particles should be vaterite. , The particle sizes are very small, with most of them smaller than 2 μm. Such types of CaCO 3 products are sufficient to be commercially used as filling agents in such materials as polymers, paper, and building materials.…”
Section: Resultsmentioning
confidence: 99%
“…It can be observed that the particle shapes are either spindle or spherical. The spindle particles should be calcite, and the spherical particles should be vaterite. , The particle sizes are very small, with most of them smaller than 2 μm. Such types of CaCO 3 products are sufficient to be commercially used as filling agents in such materials as polymers, paper, and building materials.…”
Section: Resultsmentioning
confidence: 99%
“…[2,5,6] It is also thought that ACC could be formed by agglomeration of the prenucleation cluster. [7][8][9] The prenucleation cluster of calcium carbonate has been observed in experiments and predicted by computer simulations. The prenucleation cluster also plays an essential role in crystallization pathways of calcium carbonate.…”
Section: Doi: 101002/crat201800075mentioning
confidence: 92%
“…The transformation from ACC to stable crystal was believed to be a dissolution–reprecipitation process by many researchers . It is also thought that ACC could be formed by agglomeration of the prenucleation cluster …”
Section: Introductionmentioning
confidence: 99%
“…The modeling of aggregation phenomena provides more complete data regarding the geometrical and morphological characteristics of the aggregates, since the 3D geometry of the latter is known, with the exception of the population balance models, which does not allow for 3D visualization of the aggregates, thus preventing 2D projection images from being generated and measured. Numerous techniques exist outside of population balance models, such as molecular dynamics (Dong et al, 2017;Zheleznyakova, 2021), stochastic processes such as Monte-Carlo (Schmid et al, 2004;Kadota et al, 2011;Hussain et al, 2014;Ono et al, 2015;Morán et al, 2020;Shen et al, 2021), Langevin equations (Henry et al, 2013;Lazzari et al, 2016), and, in a more general way, all techniques based on the framework of Discrete Elements Methods (DEM) (Shyshko and Mechtcherine, 2013;Spettl et al, 2015;Deng and Davé, 2017;Zhang et al, 2018;Shi et al, 2020). Morán et al (2020) provide in their introduction a fairly complete picture of the models available for simulating nano-particles agglomerates, each of them allowing to model different characteristics of the aggregates, whether it is their shape or size.…”
Section: Introductionmentioning
confidence: 99%