Non‐Brownian Particle‐Based Materials with Microscale and Nanoscale Hierarchy

Lash, Melissa H.; Jordan, Jahnelle C.; Blevins, Laura C.; Fedorchak, Morgan V.; Little, Steven R.; McCarthy, Joseph J.

doi:10.1002/anie.201500273

Cited by 12 publications

(12 citation statements)

References 42 publications

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“…We hypothesize that the increase in error observed for wide particle‐size distribution is caused by a change in cake structure that results in a multimodel pore‐size distribution (which is beyond the scope of the K‐C model) . The large error between empirical results and predicted results from K‐C model demonstrates the influence of changing the void volume of the cake on the observed flow rate.…”

Section: Resultsmentioning

confidence: 97%

“…Figure shows the influence of number ratio in the prediction: the K‐C model can only work for small size with different number ratio. Based on the work by Lash et al, for binary systems, particles with R s / l < 0.50 can be packed efficiently, so the cakes have a tight distribution of void sizes; in contrast, particles with R s / l ≥ 0.50 cannot form ordered packings. Because the particles cannot form ordered packings for R s / l ≥ 0.50, we hypothesize that some voids are expanded by this disordered packing which can lead to channel formation and ultimately explain the much higher flow rate that is observed during filtration.…”

Section: Resultsmentioning

confidence: 99%

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Modeling of the pressure drop across polydisperse packed beds in cake filtration

Zhang

McCarthy

2019

AIChE Journal

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Filtration is the separation of solid–liquid mixtures. In this study, we assess the predictive power of Kozeny–Carman model for systems operated at low Reynolds numbers and relatively high pressure drops. We find substantial agreement between the K‐C model and experiment only for systems that exhibit tight void size distribution. Dramatic disagreement is observed for particle beds that exhibit wide void size distributions. We propose a modified modeling approach, based on a bimodal void distribution, by introducing two quantities: the fraction of expanded voids and the ratio of void sizes. The simulation results are found to be much more similar to the experimental flow rates than those calculated using the K‐C model. The modified model is deemed reliable at predicting the flow behavior, provided that an accurate representation of the void size distribution is available.

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Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 99%

Modeling of the pressure drop across polydisperse packed beds in cake filtration

Zhang

McCarthy

2019

AIChE Journal

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“…To obtain the vibration induced local acoustic streaming around the micropillar, the simulation domain is restricted to a small plane (100 × 100 μm 2 ) without any external flow. In addition, measured moving trajectories of the micropillar are defined as the vibration boundary conditions according to Equation (1). Figure 3a illustrates the pressure distribution of first order acoustic field around a micropillar generated by the clockwise elliptical motion.…”

Section: Numerical Simulationsmentioning

confidence: 99%

“…The controllable assembly of complex structures out of simple micro-and nanoparticles is of great importance for manufacturing micro and nanomachines [1][2][3][4]. In recent years, particles with different sizes, shapes, and compositions have been exploited to assemble a diverse set of configurations, including particle clusters, linear chains, and repeated arrays [5,6].…”

Section: Introductionmentioning

confidence: 99%

Local Acoustic Fields Powered Assembly of Microparticles and Applications

et al. 2019

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Controllable assembly in nano-/microscale holds considerable promise for bioengineering, intracellular manipulation, diagnostic sensing, and biomedical applications. However, up to now, micro-/nanoscopic assembly methods are severely limited by the fabrication materials, as well as energy sources to achieve the effective propulsion. In particular, reproductive manipulation and customized structure is quite essential for assemblies to accomplish a variety of on-demand tasks at small scales. Here, we present an attractive assembly strategy to collect microparticles, based on local acoustic forces nearby microstructures. The micro-manipulation chip is built based on an enhanced acoustic field, which could tightly trap microparticles to the boundaries of the microstructure by tuning the applied driving frequency and voltage. Numerical simulations and experimental demonstrations illustrate that the capturing and assembly of microparticles is closely related to the size of particles, owing to the vibration-induced locally enhanced acoustic field and resultant propulsion force. This acoustic assembly strategy can open extensive opportunities for lab-on-chip systems, microfactories, and micro-manipulators, among others.

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“…The crystallization process is a function of interparticle interactions induced by the sonication input and not a function of solvent evaporation. 30,55 However, fluid evaporation is the time limiting factor in all of these sonication-induced processes.…”

Section: Microparticle Assembly For Particle-based Crystal Fabricationmentioning

confidence: 99%

Scaling up self-assembly: bottom-up approaches to macroscopic particle organization

et al. 2015

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This review presents an overview of recent work in the field of non-Brownian particle self-assembly. Compared to nanoparticles that naturally self-assemble due to Brownian motion, larger, non-Brownian particles (d > 6 μm) are less prone to autonomously organize into crystalline arrays. The tendency for particle systems to experience immobilization and kinetic arrest grows with particle radius. In order to overcome this kinetic limitation, some type of external driver must be applied to act as an artificial "thermalizing force" upon non-Brownian particles, inducing particle motion and subsequent crystallization. Many groups have explored the use of various agitation methods to overcome the natural barriers preventing self-assembly to which non-Brownian particles are susceptible. The ability to create materials from a bottom-up approach with these characteristics would allow for precise control over their pore structure (size and distribution) and surface properties (topography, functionalization and area), resulting in improved regulation of key characteristics such as mechanical strength, diffusive properties, and possibly even photonic properties. This review will highlight these approaches, as well as discuss the potential impact of bottom-up macroscale particle assembly. The applications of such technology range from customizable and autonomously self-assembled niche microenvironments for drug delivery and tissue engineering to new acoustic dampening, battery, and filtration materials, among others. Additionally, crystals made from non-Brownian particles resemble naturally derived materials such as opals, zeolites, and biological tissue (i.e. bone, cartilage and lung), due to their high surface area, pore distribution, and tunable (multilevel) hierarchy.

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Non‐Brownian Particle‐Based Materials with Microscale and Nanoscale Hierarchy

Cited by 12 publications

References 42 publications

Modeling of the pressure drop across polydisperse packed beds in cake filtration

Modeling of the pressure drop across polydisperse packed beds in cake filtration

Local Acoustic Fields Powered Assembly of Microparticles and Applications

Scaling up self-assembly: bottom-up approaches to macroscopic particle organization

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