Clogging of a single pore by colloidal particles

Dersoir, Benjamin; Vincent, Matthieu Robert de Saint; Abkarian, Manouk; Tabuteau, Hervé

doi:10.1007/s10404-015-1624-y

Cited by 74 publications

(86 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This condition is not fulfilled in the experiment shown in Fig. 2 but is common in the literature [35,37,42]. In each of the following sections, we first present the results of the numerical simulations described in the section IV.…”

Section: B Negligible Hydraulic Resistance Of the Reservoir: Numericmentioning

confidence: 91%

See 1 more Smart Citation

Growth of clogs in parallel microchannels

Sauret

Somszor²,

Villermaux

et al. 2018

Phys. Rev. Fluids

View full text Add to dashboard Cite

During the transport of colloidal suspensions in microchannels, the deposition of particles can lead to the formation of clogs, typically at constrictions. Once a clog is formed in a microchannel, advected particles form an aggregate upstream from the site of the blockage. This aggregate grows over time, which leads to a dramatic reduction of the flow rate. In this paper, we present a model that predicts the growth of the aggregate formed upon clogging of a microchannel. We develop an analytical description that captures the time evolution of the volume of the aggregate, as confirmed by experiments performed using a pressure-driven suspension flow in a microfluidic device. We show that the growth of the aggregate increases the hydraulic resistance in the channel and leads to a drop in the flow rate of the suspensions. We then derive a model for the growth of aggregates in multiple parallel microchannels where the clogging events are described using a stochastic approach. The aggregate growths in the different channels are coupled. Our work illustrates the critical influence of clogging events on the evolution of the flow rate in microchannels. The coupled dynamics of the aggregates described here for parallel channels is key to bridge clogging at the pore scale with macroscopic observations of the flow rate evolution at the filter scale.

show abstract

Section: B Negligible Hydraulic Resistance Of the Reservoir: Numericmentioning

confidence: 91%

“…These results show that the condition 2 R res R/N must be valid until all channels are clogged to be able to consider the microchannels as independent. To fullfill this condition, one option is to build a reservoir with a larger height than the rest of the device, as done in different recent studies [35,37,42].…”

Section: Influence Of the Reservoirmentioning

confidence: 99%

Growth of clogs in parallel microchannels

Sauret

Somszor²,

Villermaux

et al. 2018

Phys. Rev. Fluids

View full text Add to dashboard Cite

show abstract

“…Size exclusion or sieving occurs when particles block a pore smaller than their diameter [8]. If the pore size is larger than the particle, clogging can occur by two routes, either through particles forming an arch at the entrance of the pore [9] or progressively adhering to walls and previously deposited particles, leading to blockage of the pore [10,11]. During the last decade, following an early study [10] which described clogging of pores by smaller particles, a number of studies have focused on determining the pore-scale mechanisms involved in this form of pore blockage (e.g.…”

mentioning

confidence: 99%

Pore cross-talk in colloidal filtration

Liot

Singh

Bacchin

et al. 2018

Sci Rep

View full text Add to dashboard Cite

Blockage of pores by particles is found in many processes, including filtration and oil extraction. We present filtration experiments through a linear array of ten channels with one dimension which is sub-micron, through which a dilute dispersion of Brownian polystyrene spheres flows under the action of a fixed pressure drop. The growth rate of a clog formed by particles at a pore entrance systematically increases with the number of already saturated (entirely clogged) pores, indicating that there is an interaction or “cross-talk” between the pores. This observation is interpreted based on a phenomenological model, stating that a diffusive redistribution of particles occurs along the membrane, from clogged to free pores. This one-dimensional model could be extended to two-dimensional membranes.

show abstract

“…Structural change during an RMC-SA simulation the RMC-SA algorithm is not entirely effective in removing non-physical occurrences, they were largely observed to occur near the wall, suggesting that surface forces between the particles and the capillary wall may be playing a role, something that has been observed in other systems, including micro-channels [17], porous media [18] and micro-fluidized beds that fail to fluidize due to the surface forces being more significant than the prevailing hydrodynamic forces [19,20]. Comparison between the starting model (i.e.…”

Section: Resultsmentioning

confidence: 99%

A new method for reconstruction of the structure of micro-packed beds of spherical particles from desktop X-ray microtomography images. Part B. Structure refinement and analysis

Kashani

Živković

Elekaei

et al. 2016

Chemical Engineering Science

View full text Add to dashboard Cite

Citation: NAVVAB KASHANI, M. ...et al., 2016. A new method for reconstruction of the structure of micro-packed beds of spherical particles from desktop X-ray microtomography images. Part B. Structure refinement and analysis.Chemical Engineering Science, 153, Additional Information:• This paper was accepted for publication in the journal. Chemical En- AbstractThe authors have reported elsewhere (Chem. Eng. Sci., 146, 337, 2016) a new method that derives models of micro-packed beds (µPBs) of near-spherical particles from X-ray microtomography grayscale images of limited resolution compared to the characteristics dimensions of the particles and porosity. The new method is distinguished by it not requiring a grayscale threshold to partition the images into solid and void phases, and its retention of the underlying spherical geometry, two issues that are particularly problematic when more traditional approaches are used to build models of µPBs. Here it is shown that a reverse Monte Carlo (RMC) algorithm combined with simulated annealing (SA) can refine the models obtained from this new method to eliminate the vast majority of particle overlaps and incorporate particle size distributions. Application of the RMC-SA to an initial model of a µPB yielded a porosity estimate that was, within experimental uncertainty, the same as its directly measured counterpart. It was further shown that the porosity of µPBs is near unity at the bed wall and oscillates in a decaying fashion normal to the wall up to a distance of around three particle diameters into the bed. This leads to the porosity decreasing with increasing bed-to-particle diameter ratio. The opposite was observed, however, for the average number of particle-particle contacts (the mean coordination number). This latter behaviour has two origins: one in which the bulk of the bed where the coordination number is maximal and constant exerts increasing influence (volumetric origin), and one in which the packing density inherently decreases with the bed-to-particle diameter ratio (packing origin).

show abstract

Clogging of a single pore by colloidal particles

Cited by 74 publications

References 22 publications

Growth of clogs in parallel microchannels

Growth of clogs in parallel microchannels

Pore cross-talk in colloidal filtration

A new method for reconstruction of the structure of micro-packed beds of spherical particles from desktop X-ray microtomography images. Part B. Structure refinement and analysis

Contact Info

Product

Resources

About