Characterization of Catalyst Inks By Rheology and Microscopic Particle Properties

2018 ◽  
Vol 86 (13) ◽  
pp. 193-198 ◽  
Author(s):  
Takahiro Suzuki ◽  
Shinya Okada ◽  
Shohji Tsushima
Keyword(s):  
Particle Properties ◽  
Microscopic Particle

scholarly journals Discrete Characterization of Cohesion in Gas-Solid Flows

2002 ◽  
Author(s):  
Kunal Jain ◽  
J. J. McCarthy
Keyword(s):  
Granular Material ◽  
Significant Role ◽  
Liquid Bridge ◽  
Electrostatic Repulsion ◽  
Interaction Forces ◽  
Particle Properties ◽  
Cohesive Forces ◽  
Microscopic Picture ◽  
Made In

Cohesive forces between grains can arise from a variety of sources – such as liquid bridge (capillary) forces, van der Waals forces, or electrostatic forces – and may play a significant role in the processing of fine and/or moist powders. While recent advances have been made in our understanding of liquid-induced cohesion at the macroscopic level, in general, it is still not possible to directly connect this macroscopic understanding of cohesion with a microscopic picture of the particle properties and interaction forces. In fact, conventional theories make no attempt to distinguish between these modes of cohesion, despite clear qualitative differences (lubrication forces in wet systems or electrostatic repulsion are two good examples). In this work, we discuss several discrete characterization tools for wet (cohesive) granular material with simple, physically relevant interpretations. We examine the utility of these tools, both computationally and experimentally, by exploring a range of cohesive strengths (from cohesionless to cohesive) in several prototypical applications of solid and gas-solid flows.

Stochastic Modeling of Multidimensional Particle Properties Using Parametric Copulas

2019 ◽  
Vol 25 (3) ◽  
pp. 720-734 ◽  
Author(s):  
Orkun Furat ◽  
Thomas Leißner ◽  
Kai Bachmann ◽  
Jens Gutzmer ◽  
Urs Peuker ◽  
...  
Keyword(s):  
Prediction Models ◽  
Image Data ◽  
Archimedean Copulas ◽  
Mineralogical Characterization ◽  
X Ray ◽  
Particle Properties ◽  
Particle Characteristics ◽  
Different Types ◽  
Micro Tomography

AbstractIn this paper, prediction models are proposed which allow the mineralogical characterization of particle systems observed by X-ray micro tomography (XMT). The models are calibrated using 2D image data obtained by a combination of scanning electron microscopy and energy dispersive X-ray spectroscopy in a planar cross-section of the XMT data. To reliably distinguish between different minerals the models are based on multidimensional distributions of certain particle characteristics describing, for example, their size, shape, and texture. These multidimensional distributions are modeled using parametric Archimedean copulas which are able to describe the correlation structure of complex multidimensional distributions with only a few parameters. Furthermore, dimension reduction of the multidimensional vectors of particle characteristics is utilized to make non-parametric approaches such as the computation of distributions via kernel density estimation viable. With the help of such distributions the proposed prediction models are able to distinguish between different types of particles among the entire XMT image.

Resonance methods for the characterization of dust particles in plasmas

2016 ◽  
Vol 82 (3) ◽  
Author(s):  
Hendrik Jung ◽  
Franko Greiner ◽  
Oguz Han Asnaz ◽  
Jan Carstensen ◽  
Alexander Piel
Keyword(s):  
Dynamic Response ◽  
Resonance Method ◽  
Precision Measurements ◽  
Dust Particles ◽  
Laboratory Plasma ◽  
Particle Properties ◽  
External Perturbations ◽  
Technical Requirements

The fundamentals of the ‘resonance method’ are presented. The method relies on evaluating the dynamic response of one or more dust particles in the sheath of a laboratory plasma to small external perturbations. It allows one to make in situ high-precision measurements of particle properties. It is shown that the particle mass and charge and the strength of the interaction between two particles can be measured. Technical requirements, limitations and application examples are presented and discussed.

Characterization of Pmma Gel Spheres and Shear Induced Microstructure

1991 ◽  
Vol 248 ◽  
Author(s):  
S. E. Paulin ◽  
Bruce J. Ackersons ◽  
M. S. Wolfe
Keyword(s):  
Phase Diagram ◽  
Intrinsic Viscosity ◽  
Volume Fraction ◽  
Particle Properties ◽  
Effective Volume Fraction ◽  
Sphere Suspensions ◽  
Work Done ◽  
Pmma Particles ◽  
Nonequilibrium Phase Diagram

AbstractPolymethylmethacrylate (PMMA) particles are suspended without additional free polymer in benzyl alcohol, where they swell to nearly three times their dry radius. The single particle properties are examined by static and dynamic light scattering measurements, as well as by intrinsic viscosity measurements. A colloidal liquid/crystal phase diagram is determined as a function of effective volume fraction determined from the intrinsic viscosity. The samples are subjected to oscillatory shear flows to determine the influence of flow on the particle microstructure. A nonequilibrium phase diagram is constructed indicating a correlation between spontaneous ordering at equilibrium and shear induced ordering. These results are compared with previous work done for hard PMMA sphere suspensions.

Characterization of tire and road wear particles from road runoff indicates highly dynamic particle properties

2020 ◽  
Vol 185 ◽  
pp. 116262 ◽  
Author(s):  
Philipp Klöckner ◽  
Bettina Seiwert ◽  
Paul Eisentraut ◽  
Ulrike Braun ◽  
Thorsten Reemtsma ◽  
...  
Keyword(s):  
Wear Particles ◽  
Road Runoff ◽  
Particle Properties
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