scholarly journals Ulpa particle separation model in a spiral classifier

Author(s):  
O.S Beshta ◽  
V.M Kuvaiev ◽  
I.K Mladetskyi ◽  
M.V. Kuvaiev
Author(s):  
O. S. Beshta ◽  
V. M. Kuvaiev ◽  
I. K. Mladetskyi ◽  
M. V. Kuvaiev

Author(s):  
Beat Lüthi ◽  
Jacob Berg ◽  
Søren Ott ◽  
Jakob Mann

2007 ◽  
Vol 19 (4) ◽  
pp. 045110 ◽  
Author(s):  
Beat Lüthi ◽  
Jacob Berg ◽  
Søren Ott ◽  
Jakob Mann

2015 ◽  
Vol 2 (0) ◽  
pp. 9781843396703-9781843396703
Author(s):  
S. R. Wright ◽  
S. Crouch ◽  
D. Wesson ◽  
S. Grady
Keyword(s):  

Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 128-134 ◽  
Author(s):  
Wei Ma ◽  
Huanqin Li ◽  
Deden Witarsyah

Abstract Separation is the primary consideration in cloud computing security. A series of security and safety problems would arise if a separation mechanism is not deployed appropriately, thus affecting the confidence of cloud end-users. In this paper, together with characteristics of cloud computing, the separation issue in cloud computing has been analyzed from the perspective of information flow. The process of information flow in cloud computing systems is formalized to propose corresponding separation rules. These rules have been verified in this paper and it is shown that the rules conform to non-interference security, thus ensuring the security and practicability of the proposed rules.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Javier Cruz ◽  
Klas Hjort

AbstractThe ability to focus, separate and concentrate specific targets in a fluid is essential for the analysis of complex samples such as biological fluids, where a myriad of different particles may be present. Inertial focusing is a very promising technology for such tasks, and specially a recently presented variant, inertial focusing in High Aspect Ratio Curved systems (HARC systems), where the systems are easily engineered and focus the targets together in a stable position over a wide range of particle sizes and flow rates. However, although convenient for laser interrogation and concentration, by focusing all particles together, HARC systems lose an essential feature of inertial focusing: the possibility of particle separation by size. Within this work, we report that HARC systems not only do have the capacity to separate particles but can do so with extremely high resolution, which we demonstrate for particles with a size difference down to 80 nm. In addition to the concept for particle separation, a model considering the main flow, the secondary flow and a simplified expression for the lift force in HARC microchannels was developed and proven accurate for the prediction of the performance of the systems. The concept was also demonstrated experimentally with three different sub-micron particles (0.79, 0.92 and 1.0 µm in diameter) in silicon-glass microchannels, where the resolution in the separation could be modulated by the radius of the channel. With the capacity to focus sub-micron particles and to separate them with high resolution, we believe that inertial focusing in HARC systems is a technology with the potential to facilitate the analysis of complex fluid samples containing bioparticles like bacteria, viruses or eukaryotic organelles.


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