Influence of particle size and shape properties on cake resistance and compressibility during pressure filtration

Bourcier, D.; Feraud, Jean-Pierre; Colson, Didier; Mandrick, K.; Ode, Denis; Brackx, Emmanuelle; Puel, François

doi:10.1016/j.ces.2016.01.023

Cited by 99 publications

(48 citation statements)

References 17 publications

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“…In order to achieve a high packing density, a wide particle size distribution of smooth spherical particles is generally considered . Bourcier et al reported that particle size caused great impacts on packing resistance during pressure filtration (shape factor was of secondary importance); a smaller particle size led to a higher packing resistance and a longer filtration time.…”

Section: Introductionmentioning

confidence: 99%

Density difference in pressure‐filtrated wet cakes produced from spontaneous gelling slurries

Shimai

Jian-Gao

et al. 2019

J Am Ceram Soc

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Pressure filtration is a key process in ceramic forming; however, the influences of density difference in different parts of a pressure‐filtrated wet cake on subsequent drying and sintering have not yet been explored. In the present work, alumina slurries dispersed by copolymers of isobutylene and maleic anhydride (PIBM) and ammonium salt of polyacrylic acid (PAANH4) were pressure filtrated to examine the impacts of density difference in the as‐prepared wet cakes. In comparison to the wet cake produced from PAANH4, the wet cake with PIBM had much higher bulk density and smaller density difference between its upper and bottom parts (height of ~23 mm). Furthermore, in order to reveal the differences between these two wet cakes, the nature of agglomerates in their slurries was investigated. The slurry with PIBM contained agglomerates with a wider size distribution, bigger average size, and higher sphericity, producing a wet cake with a higher particle packing density and more homogeneous packing structure after pressure filtration. Hence, almost no deformation occurred in a large wet cake (280 mm × 130 mm × 20 mm) with PIBM, whereas that with PAANH4 experienced a severe deformation after sintering.

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Section: Introductionmentioning

confidence: 99%

Density difference in pressure‐filtrated wet cakes produced from spontaneous gelling slurries

Shimai

Jian-Gao

et al. 2019

J Am Ceram Soc

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show abstract

“…Therefore, it is important to consider the mechanical properties of specific solid particles, along with their shape and size distributions, to adequately describe the behavior of the respective cake and the separation characteristics. Several authors have investigated the influence of these parameters and other factors on cake filtration, e.g., solid‐liquid interactions and suspension stability over time , filter testing method , and operating pressure .…”

Section: Introductionmentioning

confidence: 99%

Decreasing Filter Cake Resistance by Using Packing Structures

et al. 2018

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Packed beds used in absorption columns are evaluated to determine whether they can also be beneficial for cake‐forming filtrations. To assess this, model systems are characterized and separated by using a dead‐end filter cell. Filtrations are conducted with different packings; the filtrate amount over time and resulting turbidity are evaluated. Packings increase the filter cake resistance and the separation time of the cakes formed with approximately incompressible solids. However, they exhibit a positive effect on the filtration of a more complex, compressible substance; the process is not only accelerated, but also the quality of the obtained filtrate is not compromised. These results demonstrate potential in the use of packed beds for the filtration of complex biogenic suspensions.

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“…In particular, the detailed knowledge of the Particle Size Distribution (PSD) and Particle Size and Shape Distribution (PSSD) becomes an issue of extreme relevance when developing materials with advanced functionalities. This is for example the case of electroluminescent perovskites 9 , heterogeneous catalysts 10 , nanomaterials for optoelectronics 11 , photovoltaics 12 , drug delivery 13 , or in industrially relevant processes, such as filtration 14 , coating 15 , dyes and inks 16 , cosmetics 17 and active pharmaceutical ingredients formulation 18 .…”

Section: Introductionmentioning

confidence: 99%

Nanoparticle size distribution from inversion of wide angle X-ray total scattering data

Ferri

Bertolotti

Guagliardi

et al. 2020

Sci Rep

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An increasingly important issue in nanoscience and nanotechnology is the accurate determination of nanoparticle sizing. Wide angle X-ray total scattering (WAXtS) data are frequently used to retrieve the particle Size Distributions (pSDs) of nanocrystals of highly technological relevance; however, the PSD shape typically relies on an a-priori assumption. Here, we propose a modified version of the classical iterative Lucy-Richardson (LR) algorithm, which is simple, fast and highly reliable against noise, and demonstrate that the inversion of WAXTS data can be profitably used for recovering accurate pSD regardless of its shape. computer simulations based on the use of the Debye Scattering equation (DSe) modelling WAXtS data show that the algorithm is capable of recovering accurate PSDs even when the sample is made of a mixture of different polymorphs and/or exhibits microstrain effects. When applied to the inversion of WAXTS data taken on real samples, the method requires accurate modelling of the nanoparticle crystal structure, which includes structural defects, microstrain and surface induced distortions. provided that this information is correctly fed to the program, the inversion algorithm reconstructs the WAXtS data with high accuracy and recovers highly robust (against noise) pSDs. two examples reporting the characterization of Magnetite-Maghemite and commercial P25-Titania nanopowders, are discussed. We demonstrate that pre-assumption of wrong pSD shape leads to inaccurate number-based average sizes in highly polydisperse samples. Nanoparticle sizing and nanoparticle structural characterization have become, over the last decades, topics of increasing interest due to their intimate relationship to nanoscience and nanotechnology 1-6. Nanoparticles or NanoCrystals (NCs) usually exhibit a crystalline or a partially ordered atomic arrangement, with local structural distortions, defects, and remarkable surface effects (due to their large surface area to volume ratio) that can be tailored by proper functionalization. All these structural features, together with the NCs morphology and size, determine their physical-chemical properties and, ultimately, their functionality 7,8. In particular, the detailed knowledge of the Particle Size Distribution (PSD) and Particle Size and Shape Distribution (PSSD) becomes an issue of extreme relevance when developing materials with advanced functionalities. This is for example the case of electroluminescent perovskites 9 , heterogeneous catalysts 10 , nanomaterials for optoelectronics 11 , photovoltaics 12 , drug delivery 13 , or in industrially relevant processes, such as filtration 14 , coating 15 , dyes and inks 16 , cosmetics 17 and active pharmaceutical ingredients formulation 18. Among the experimental techniques that deal with nanoparticle sizing, imaging and scattering optical methods are among the most popular ones. Imaging methods, such as confocal optical 19 or transmission electron 20 microscopy, work by analyzing individually each single particle and therefore provide ...

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Influence of particle size and shape properties on cake resistance and compressibility during pressure filtration

Cited by 99 publications

References 17 publications

Density difference in pressure‐filtrated wet cakes produced from spontaneous gelling slurries

Density difference in pressure‐filtrated wet cakes produced from spontaneous gelling slurries

Decreasing Filter Cake Resistance by Using Packing Structures

Nanoparticle size distribution from inversion of wide angle X-ray total scattering data

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