Continuous cell partitioning using an aqueous two-phase flow system in microfluidic devices

2004 ◽  
Vol 88 (4) ◽  
pp. 489-494 ◽  
Author(s):  
Masumi Yamada ◽  
Vivi Kasim ◽  
Megumi Nakashima ◽  
Jun'ichi Edahiro ◽  
Minoru Seki
Keyword(s):  
Two Phase Flow ◽  
Flow System ◽  
Microfluidic Devices ◽  
Phase Flow ◽  
Two Phase ◽  
Cell Partitioning

Continuous Cell Partitioning in Two-Phase Flow System

2002 ◽  
pp. 569-571
Author(s):  
Jun’ichi Edahiro ◽  
Megumi Nakashima ◽  
Vivi Kasim ◽  
Masumi Yamada ◽  
Minoru Seki
Keyword(s):  
Two Phase Flow ◽  
Flow System ◽  
Phase Flow ◽  
Two Phase ◽  
Cell Partitioning

scholarly journals A Numerical Model of Tracer Transport in a Non-isothermal Two-Phase Flow System for $${\text{ CO}}_2$$ Geological Storage Characterization

2013 ◽  
Vol 98 (1) ◽  
pp. 173-192 ◽  
Author(s):  
Fuguo Tong ◽  
Auli Niemi ◽  
Zhibing Yang ◽  
Fritjof Fagerlund ◽  
Tobias Licha ◽  
...  
Keyword(s):  
Numerical Model ◽  
Two Phase Flow ◽  
Flow System ◽  
Phase Flow ◽  
Geological Storage ◽  
Tracer Transport ◽  
Two Phase

scholarly journals Oscillatory Flow Instabilities in Air-Water Two-Phase Flow System : 1st Report, Pressure Drop Oscillation

1979 ◽  
Vol 22 (174) ◽  
pp. 1763-1770 ◽  
Author(s):  
Mamoru OZAWA ◽  
Koji AKAGAWA ◽  
Tadashi SAKAGUCHI ◽  
Toshiro TSUKAHARA ◽  
Terushige FUJII
Keyword(s):  
Pressure Drop ◽  
Oscillatory Flow ◽  
Two Phase Flow ◽  
Flow System ◽  
Flow Instabilities ◽  
Phase Flow ◽  
Two Phase

Rapid two-dimensional imaging of bubbles and slugs in a three-dimensional, gas-solid, two-phase flow system using ultrafast magnetic resonance

2007 ◽  
Vol 75 (2) ◽  
Author(s):  
C. R. Müller ◽  
D. J. Holland ◽  
J. F. Davidson ◽  
J. S. Dennis ◽  
L. F. Gladden ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Two Phase Flow ◽  
Flow System ◽  
Three Dimensional ◽  
Phase Flow ◽  
Two Dimensional ◽  
Two Phase

Probabilistic Optimization of Two-Phase Flow Using Bayesian Models

2014 ◽  
Author(s):  
Kenji Miki ◽  
Arun Subramaniyan ◽  
Madhusudan Pai ◽  
Preetham Balasubramanyam
Keyword(s):  
Gas Turbines ◽  
Two Phase Flow ◽  
Flow System ◽  
Probabilistic Approach ◽  
Computational Cost ◽  
Phase Flow ◽  
Two Phase Flows ◽  
Two Phase ◽  
Flow Configuration ◽  
Flow Systems

Gas-liquid two-phase flows are encountered in a variety of applications such as turbo-machinery flows, gas-turbines, ram-jet and scram-jets, automotive engines and aircraft engines. Designing systems to control such flows is enormously challenging owing to the addition of new non-dimensional groups that characterize the two-phase flow system compared to a single-phase flow. Additionally, two-phase flows can exhibit non-linear hydrodynamic instabilities that determine the overall behavior of the system. In this study, we choose a generic two-phase flow configuration that exhibits known complexities in realistic two-phase flow systems. The goal of the study is to optimize the geometry of the two-phase flow configuration with minimal computational cost. We propose a probabilistic approach to model the stochastic system and optimize the two-phase flow system under uncertain inputs. The potential benefits of the approach are highlighted along with future directions for using probabilistic design techniques to optimize two-phase flow systems.

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