Pressure-driven deformation with soft polydimethylsiloxane (PDMS) by a regular syringe pump: challenge to the classical fluid dynamics by comparison of experimental and theoretical results

RSC Advances ◽  
2014 ◽  
Vol 4 (7) ◽  
pp. 3102-3112 ◽  
Author(s):  
ChanKyu Kang ◽  
ChangHyun Roh ◽  
Ruel A. Overfelt
Keyword(s):  
Fluid Dynamics ◽  
Syringe Pump ◽  
Classical Fluid ◽  
Theoretical Results ◽  
Pressure Driven

Fluid Dynamics: Part 1: Classical Fluid Dynamics

2015 ◽  
Vol 56 (3) ◽  
pp. 385-387
Author(s):  
Prashant Khare
Keyword(s):  
Fluid Dynamics ◽  
Classical Fluid

scholarly journals Stable microfluidic flow focusing using hydrostatics

2021 ◽  
Author(s):  
Vaskar Gnyawali ◽  
Mohammadali Saremi ◽  
Michael C. Kolios ◽  
Scott S. H. Tsai
Keyword(s):  
Flow Cytometry ◽  
Hydrostatic Pressure ◽  
Simple Technique ◽  
Syringe Pump ◽  
Flow Focusing ◽  
Microfluidic Flow ◽  
The Stability ◽  
Stable Flow ◽  
Better Than ◽  
Pressure Driven

We present a simple technique to generate stable hydrodynamically focused flows by driving the flow with hydrostatic pressure from liquid columns connected to the inlets of a microfluidic device. Importantly, we compare the focused flows generated by hydrostatic pressure and classical syringe pump driven flows, and find that the stability of the hydrostatic pressure driven technique is significantly better than the stability achieved via syringe pumps, providing fluctuation-free focused flows that are suitable for sensitive microfluidic flow cytometry applications. We show that the degree of flow focusing with the hydrostatic method can be accurately controlled by the simple tuning of the liquid column heights. We anticipate that this approach to stable flow focusing will find many applications in microfluidic cytometry technologies. Keywords: Microfluidics, hydrodynamic flow focusing, hydrostatic pressure driven flows, flow cytometry

Application of Arbitrary Lagrange Euler Formulations to Flow-Induced Vibration Problems

2003 ◽  
Vol 125 (4) ◽  
pp. 411-417 ◽  
Author(s):  
E. Longatte ◽  
Z. Bendjeddou ◽  
M. Souli
Keyword(s):  
Fluid Dynamics ◽  
Experimental Data ◽  
Tube Bundle ◽  
Numerical Results ◽  
Generation Process ◽  
Flow Induced Vibration ◽  
Local Flow ◽  
Classical Fluid ◽  
Elastic Forces ◽  
Vibration Problems

Most classical fluid force identification methods rely on mechanical structure response measurements associated with convenient data processes providing turbulent and fluid-elastic forces responsible for possible vibrations and damage. These techniques provide good results; however, they often involve high costs as they rely on specific modelings fitted with experimental data. Owing to recent improvements in computational fluid dynamics, numerical simulation of flow-induced structure vibration problems is now practicable for industrial purposes. As far as flow structure interactions are concerned, the main difficulty consists in estimating numerically fluid-elastic forces acting on mechanical components submitted to turbulent flows. The point is to take into account both fluid effects on structure motion and conversely dynamic motion effects on local flow patterns. This requires a code coupling to solve fluid and structure problems in the same time. This ability is out of limit of most classical fluid dynamics codes. That is the reason why recently an improved numerical approach has been developed and applied to the fully numerical prediction of a flexible tube dynamic response belonging to a fixed tube bundle submitted to cross flows. The methodology consists in simulating at the same time thermo-hydraulics and mechanics problems by using an Arbitrary Lagrange Euler (ALE) formulation for the fluid computation. Numerical results turn out to be consistent with available experimental data and calculations tend to show that it is now possible to simulate numerically tube bundle vibrations in presence of cross flows. Thus a new possible application for ALE methods is the prediction of flow-induced vibration problems. The full computational process is described in the first section. Classical and improved ALE formulations are presented in the second part. Main numerical results are compared to available experimental data in section 3. Code performances are pointed out in terms of mesh generation process and code coupling method.

Benchmark Experimental Data for Fully Stalled Wide-Angled Diffusers

2008 ◽  
Vol 130 (10) ◽  
Author(s):  
K Kibicho ◽  
A. T. Sayers
Keyword(s):  
Fluid Dynamics ◽  
Flow Separation ◽  
Classical Case ◽  
Data Bank ◽  
Mean Flow ◽  
Mean Velocity ◽  
Validation Data ◽  
Flow Measurements ◽  
Pressure Driven Flow ◽  
Pressure Driven

Due to adverse pressure gradient along the diverging walls of wide-angled diffusers, the attached flow separates from one wall and remains attached permanently to the other wall in a process called stalling. Separated diffuser flows provide a classical case of pressure driven flow separation. Such flows present a very serious challenge to fluid dynamics modelers. This paper provides a data bank contribution for the streamwise mean velocity field and pressure recovery data in wide-angled diffusers. Turbulent mean flow measurements were carried out at Reynolds numbers between 1.07×105 and 2.14×105 based on inlet hydraulic diameter and centerline velocity for diffusers whose divergence angles were between 30 deg and 50 deg. The results presented provide a reliable validation data bank for computational fluid dynamics studies for pressure driven flow separation studies.

scholarly journals Numerical Models for the Prediction of Iceberg Drift

1980 ◽  
Vol 1 ◽  
pp. 95-95
Author(s):  
J. G. Napoleoni
Keyword(s):  
Fluid Dynamics ◽  
Numerical Models ◽  
Relevant Information ◽  
Wind Data ◽  
Labrador Sea ◽  
Reliable Prediction ◽  
Sea Current ◽  
Iceberg Drift ◽  
Drift Models ◽  
Theoretical Results

In order to avoid the risk of icebergs colliding with drilling vessels and installations in the Labrador Sea, it would be useful to predict iceberg drift. Relevant information on fluid dynamics is summarized, followed by a discussion of various drift models. After commenting on the numerical results obtained with these models, a method is proposed for analysing past trajectories of an iceberg in order to determine coefficients necessary for predicting its drift. The theoretical results are then compared with drift and sea-current and wind data obtained in the Labrador Sea. If accurate prediction of iceberg drift is to be achieved, reliable prediction of oceanic factors is just as important as a knowledge of iceberg characteristics. The techniques developed and tested in the Labrador Sea are helpful whether icebergs are considered as a problem or as a desirable resource.

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