Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Chaparian, Emad

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University of Strathclyde

in Cooperation with on an Cooperation-Score of 37%

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Publications (13/13 displayed)

  • 2023Squeeze cementing of micro-annuli6citations
  • 2022Computational rheometry of yielding and viscoplastic flow in vane-and-cup rheometer fixtures12citations
  • 2022Flow onset for a single bubble in a yield-stress fluid16citations
  • 2021The first open channel for yield-stress fluids in porous media11citations
  • 2021Clouds of bubbles in a viscoplastic fluid7citations
  • 2020Yield-stress fluids in porous media39citations
  • 2020Stability of particles inside yield-stress fluid Poiseuille flows5citations
  • 2020Particle migration in channel flow of an elastoviscoplastic fluid20citations
  • 2020Computing the yield limit in three-dimensional flows of a yield stress fluid about a settling particle19citations
  • 2019An adaptive finite element method for elastoviscoplastic fluid flows28citations
  • 2018L-box - A tool for measuring the "yield stress"14citations
  • 2017Cloaking35citations
  • 2017Yield limit analysis of particle motion in a yield-stress fluid46citations

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Trudel, Elizabeth
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Izadi, Mahdi
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Frigaard, Ian
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Mckinley, Gareth H.
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Owens, Crystal E.
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Pourzahedi, Ali
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Frigaard, Ian A.
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Roustaei, Ali
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Tammisola, Outi
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Fraggedakis, Dimitrios
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Izbassarov, Daulet
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Vita, Francesco De
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Brandt, Luca
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Ardekani, Mehdi N.
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Iglesias, José A.
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Mercier, Gwenael
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Nasouri, Babak
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Co-Authors (by relevance)

  • Trudel, Elizabeth
  • Izadi, Mahdi
  • Frigaard, Ian
  • Mckinley, Gareth H.
  • Owens, Crystal E.
  • Pourzahedi, Ali
  • Frigaard, Ian A.
  • Roustaei, Ali
  • Tammisola, Outi
  • Fraggedakis, Dimitrios
  • Izbassarov, Daulet
  • Vita, Francesco De
  • Brandt, Luca
  • Ardekani, Mehdi N.
  • Iglesias, José A.
  • Mercier, Gwenael
  • Nasouri, Babak
OrganizationsLocationPeople

article

Computing the yield limit in three-dimensional flows of a yield stress fluid about a settling particle

  • Iglesias, José A.
  • Chaparian, Emad
  • Mercier, Gwenael
  • Frigaard, Ian A.
Abstract

<p>Calculating the yield limit Y<sub>c</sub> (the critical ratio of the yield stress to the driving stress), of a viscoplastic fluid flow is a challenging problem, often needing iteration in the rheological parameters to approach this limit, as well as accurate computations that account properly for the yield stress and potentially adaptive meshing. For particle settling flows, in recent years calculating Y<sub>c</sub> has been accomplished analytically for many antiplane shear flow configurations and also computationally for many geometries, under either two dimensional (2D) or axisymmetric flow restrictions. Here we approach the problem of 3D particle settling and how to compute the yield limit directly, i.e. without iteratively changing the rheology to approach the yield limit. The presented approach develops tools from optimization theory, taking advantage of the fact that Y<sub>c</sub> is defined via a minimization problem. We recast this minimization in terms of primal and dual variational problems, develop the necessary theory and finally implement a basic but workable algorithm. We benchmark results against accurate axisymmetric flow computations for cylinders and ellipsoids, computed using adaptive meshing. We also make comparisons of accuracy in calculating Y<sub>c</sub> on comparable fixed meshes. This demonstrates the feasibility and benefits of directly computing Y<sub>c</sub> in multiple dimensions. Lastly, we present some sample computations for complex 3D particle shapes.</p>

Topics
  • impedance spectroscopy
  • theory
  • particle shape