scholarly journals Hillslope sediment fence catch efficiencies and particle sorting for post‐fire rain storms

2020 ◽  
Author(s):  
Codie Wilson ◽  
Stephanie K. Kampf ◽  
Joseph W. Wagenbrenner ◽  
Lee H. MacDonald ◽  
Hunter Gleason
Keyword(s):  
Particle Sorting

Water recovery from wet flue gas by combining the amplification tube condensation and inlet particle-sorting cyclone separation

2021 ◽  
pp. 117205
Author(s):  
Fei Wang ◽  
Xiaoyang Yang ◽  
Pengbo Fu ◽  
Fenglin Yang ◽  
Fangqin Cheng
Keyword(s):  
Flue Gas ◽  
Water Recovery ◽  
Particle Sorting

PARTICLE-BASED TRANSPARENT FUSED VISUALIZATION APPLIED TO MEDICAL VOLUME DATA

2013 ◽  
Vol 04 (supp01) ◽  
pp. 1341003 ◽  
Author(s):  
KYOKO HASEGAWA ◽  
SAORI OJIMA ◽  
YOSHIYUKI SHIMOKUBO ◽  
SUSUMU NAKATA ◽  
KOZABURO HACHIMURA ◽  
...  
Keyword(s):  
Line Of Sight ◽  
Volume Data ◽  
Particle Sorting ◽  
Fusion Images ◽  
Surface Fusion

This paper proposes a method to create 3D fusion images, such as volume–volume, volume–surface, and surface–surface fusion. Our method is based on the particle-based rendering, which uses tiny particles as rendering primitives. The method can create natural and comprehensible 3D fusion images simply by merging particles prepared for each element to be fused. Moreover, the method does not require particle sorting along the line of sight to realize right depth feel. We apply our method to realize comprehensible visualization of medical volume data.

Theoretical Parameter Study of Aerodynamic Vectoring Particle Sorting

2007 ◽  
Vol 129 (7) ◽  
pp. 902-907 ◽  
Author(s):  
Dane N. Jackson ◽  
Barton L. Smith
Keyword(s):  
Density Ratio ◽  
Large Data ◽  
Flow Speed ◽  
Spherical Particles ◽  
Parameter Study ◽  
Particle Sizes ◽  
Case Scenario ◽  
Velocity Magnitude ◽  
Particle Sorting ◽  
Sorting Technique

A new particle sorting technique called aerodynamic vectoring particle sorting (AVPS) has recently been shown to be effective at sorting particles without particles contacting surfaces. The technique relies on turning a free jet sharply without extended control surfaces. The flow turning results in a balance of particle inertia and several forces (pressure, drag, added mass, and body forces) that depend on particle size and density. The present paper describes a theoretical study of particle sorting in a turning flow. The purpose of this study is to extend AVPS to parameter spaces other than those that are currently under investigation. Spherical particles are introduced into a turning flow in which the velocity magnitude increases like r. The trajectory of each particle is calculated using the particle equation of motion with drag laws that are appropriate for various Knudsen number regimes. Large data sets can be collected rapidly for various particle sizes, densities, turning radii, flow speeds, and fluid properties. Ranges of particle sizes that can be sorted are determined by finding an upper bound (where particles move in a straight line) and a lower bound (where particles follow flow streamlines). It is found that the size range of particles that can be sorted is larger for smaller turning radii, and that the range moves toward smaller particles as the flow speed and the particle-to-fluid density ratio are increased. Since this flow is laminar and 2-D, and particle loading effects are ignored, the results represent a “best case” scenario.

scholarly journals Microfluidic Particle Sorting System for Environmental Pollution Monitoring Applications

2016 ◽  
Vol 168 ◽  
pp. 1462-1465
Author(s):  
E.L. Tóth ◽  
E. Holczer ◽  
P. Földesy ◽  
K. Iván ◽  
P. Fürjes
Keyword(s):  
Environmental Pollution ◽  
Pollution Monitoring ◽  
Particle Sorting ◽  
Monitoring Applications ◽  
Sorting System

scholarly journals Particle Sorting and Stone Migration Due to Frost Heave

Science ◽  
1966 ◽  
Vol 152 (3721) ◽  
pp. 545-546 ◽  
Author(s):  
K. A. Jackson ◽  
D. R. Uhlmann
Keyword(s):  
Frost Heave ◽  
Particle Sorting ◽  
Stone Migration

Large Particle Sorting

1992 ◽  
pp. 189-204 ◽  
Author(s):  
D. W. Galbraith
Keyword(s):  
Large Particle ◽  
Particle Sorting

Large Particle Sorting

2000 ◽  
pp. 293-317 ◽  
Author(s):  
David W. Galbraith ◽  
Sergio Lucretti
Keyword(s):  
Large Particle ◽  
Particle Sorting

A numbering-up strategy of hydrodynamic microfluidic filters for continuous-flow high-throughput cell sorting

Lab on a Chip ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 1828-1837 ◽  
Author(s):  
Ryoken Ozawa ◽  
Hideki Iwadate ◽  
Hajime Toyoda ◽  
Masumi Yamada ◽  
Minoru Seki
Keyword(s):  
High Throughput ◽  
Cell Sorting ◽  
Continuous Flow ◽  
Particle Sorting

A numbering-up strategy of hydrodynamic filters was presented to dramatically increase the throughput of cell/particle sorting up to ∼15 mL min−1.

Two‐phase flow in microfluidic‐chip design of hydrodynamic filtration for cell particle sorting

2020 ◽  
Vol 41 (10-11) ◽  
pp. 1002-1010
Author(s):  
Kyu Yoon ◽  
Hyun Wook Jung ◽  
Myung‐Suk Chun
Keyword(s):  
Microfluidic Chip ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Chip Design ◽  
Particle Sorting ◽  
Hydrodynamic Filtration

Static particle sorting in 1D optical lattice

2006 ◽  
Author(s):  
Petr Jákl ◽  
Tomáš Čižmár ◽  
Martin Šiler ◽  
Pavel Zemánek
Keyword(s):  
Optical Lattice ◽  
Particle Sorting
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