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Showing 1 to 8 of 8 for “"Ellipsoidal Particles"”.

  1. Ring-opening Metathesis Polymerization for the Creation of Responsive Colloids and Surfaces

    … photonic crystal properties, photonic polymer particles, surface-tethered polymer brushes, and surface-initiated ROMP. In Chapter 2, photonic ellipsoidal particles are created from the self-assembly of dendronized bottlebrush block copolymers (den-BBCPs), which are synthesized by ROMP. The …

    mit Repository record for Ring-opening Metathesis Polymerization for the Creation of Responsive Colloids and Surfaces (opens in a new tab)

  2. Study of Fluid Forces and Heat Transfer on Non-spherical Particles in Assembly Using Particle Resolved Simulation

    … in flow through a fixed random assembly of ellipsoidal particles with sphericity of 0.887. The incompressible Navier-Stokes equations are solved using the Immersed Boundary Method (IBM). A Framework for generating particle assembly is developed using physics engine PhysX. High-order boundary …

    vt Repository record for Study of Fluid Forces and Heat Transfer on Non-spherical Particles in Assembly Using Particle Resolved Simulation (opens in a new tab)

  3. Computational Studies on the Effective Properties of Two-Phase Heterogeneous Media

    … The continuum contains circular, spherical or ellipsoidal inclusions that are either uniformly or randomly embedded in the matrix. The computed results are compared to the applicable effective medium theories. It is found that the random distribution, permeability and particle aspect ratio have …

    denver Repository record for Computational Studies on the Effective Properties of Two-Phase Heterogeneous Media (opens in a new tab)

  4. Dynamics and Statics of Liquid-Liquid and Gas-Liquid interfaces on Non-Uniform Substrates at the Micron and Sub-Micron Scales

    … and dynamics. First, the wetting of micron-sized ellipsoidal particles was considered. In the space of axially symmetric interfaces, it is found that multiple constant mean curvature surfaces can satisfy volume and contact angle constraints. Partial encapsulation may be preferred even when the …

    penn Repository record for Dynamics and Statics of Liquid-Liquid and Gas-Liquid interfaces on Non-Uniform Substrates at the Micron and Sub-Micron Scales (opens in a new tab)

  5. Heat transfer in packed beds of crushed rock

    … To achieve this, a set of 100 crushed rock particles was 3D scanned, and the average geometric parameters calculated, for which an ellipsoidal particle with similar geometric parameters was selected. An experimental setup was developed that enables non-invasive testing of the heat transfer …

    stellenbosch Repository record for Heat transfer in packed beds of crushed rock (opens in a new tab)

  6. Coffee-Rings and Glasses: Colloids Out of Equilibrium

    … phenomena. Specifically, the deposition of particles during evaporation and the glass transition are explored. In the first set of experiments, we found that particle shape has a profound effect on particle deposition. We evaporated drops of colloidal suspensions containing micron-sized …

    penn Repository record for Coffee-Rings and Glasses: Colloids Out of Equilibrium (opens in a new tab)

  7. Multiscale Modeling of the Mechanical Behavior of Clay

    … interactions between pairs of primary clay particles using a free energy perturbation method. We compare results for two commonly occurring clay minerals, illite and Na-smectite, both with 2:1 sheet structures, and nanotubular imogolite (1:1). Illite particles exhibit a well-defined …

    mit Repository record for Multiscale Modeling of the Mechanical Behavior of Clay (opens in a new tab)

  8. Deep Learning Methods for Predicting Fluid Forces in Dense Particle Suspensions

    … micro-scale PRS data to predict drag forces on ellipsoidal particle suspensions to be applied to meso-scale and macro-scale models. Two different deep learning methodologies are employed, multi-layer perceptrons (MLP) and 3D convolutional neural networks (CNNs). The former trains on the mean …

    vt Repository record for Deep Learning Methods for Predicting Fluid Forces in Dense Particle Suspensions (opens in a new tab)