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Chapter 01: Flows in micro-fluidic systems

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Chapter 01: Flows in micro-fluidic systems Xiangyu Hu Technical University of Munich What is a micro-fluidic system? A system manipulating fluids in channels having ... – PowerPoint PPT presentation

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Title: Chapter 01: Flows in micro-fluidic systems


1
Chapter 01Flows in micro-fluidic systems
  • Xiangyu Hu
  • Technical University of Munich

2
What is a micro-fluidic system?
Nano-tubes
Micro-channels
  • A system manipulating fluids in channels having
    cross section dimension on less than 100
    micro-meters
  • Smallest micro-channel Nano-tube

3
The objectives of micro-fluidic systems
  • Micro-Total-Analysis-Systems (mTAS)
  • One system to provide all of the possible
    required analyses for a given type problem
  • All processing steps are performed on the chip
  • No user interaction required except for
    initialization
  • Portable bedside systems possible
  • Lab-on-a-chip
  • Micro-fluidics in nature
  • Aveoli (Lung bubbles)

4
Micro-fluidics is Interdisciplinary
  • Micro-Fabrication
  • Chemistry
  • Biology
  • Mechanics
  • Control Systems
  • Micro-Scale Physics and Thermal/Fluidic Transport
  • Numerical Modeling
  • Simulation of micro-flows
  • Material Science

5
The fluids in micro-fluidic system
Injection of a droplet into a micro-channel.
  • Simple fluids
  • liquids and gases
  • Complex fluids
  • immersed structures, surfactants, polymers, DNA

Cells in a micro-channel.
Polymer flow in a micro-channel
6
Typical fluidic components
Channel-circuit
  • Micro-channels and channel-circuit
  • Functional structures
  • Micro-pump and switches
  • Mixing and separating devices

Electroosmotic Pumping
Typical functional structre
7
Length scales in micro-fluidic systems
Typical size of a chip
1mm
100mm
Extended lenght of DNA
Micro-channel
10mm
Microstructure and micro-drops
Cellular scale
1mm
Radius of Gyration of DNA
100nm
Colloid and polymer molecular size
10nm
8
Deviations from continuum hypothesis for
micro-fluidics I gas microflows
9
Deviations from continuum hypothesis for
micro-fluidics II simple liquid micro-flows
  • How small should a volume of fluid be so that we
    can assign it mean properties?
  • Nano-meter scale
  • At what scales will the statistical fluctuations
    be significant?
  • Nano-meter scales

10
Deviations from continuum hypothesis for
micro-fluidics II simple liquid micro-flows
  • Slip at wall in nano-scale?
  • High shear rate
  • Hydrophobic surface

11
Deviations from continuum hypothesis for
micro-fluidics III micro-flows with complex
fluids
DNA molecule stretched by flow
  • Detailed modeling can not use continuum model
  • Nano-Scale

Polymer molecules in a channel flow
Nanowires deformed under shearing
12
Conclusion on continuum hypothesis for
micro-fluidics
  • Dependent on length scales
  • Nano-meter scales NO
  • Micro-meter scales Yes, but NO for Gas
  • Influence on numerical method
  • Nano-meter scales non- continuum
  • Micro- and meso-copic methods
  • Micro-meter scales continuum
  • Macroscopic methods
  • Micro-meter scales for gas non- continuum
  • Micro- and meso-copic methods
  • Nano- to micro-meter scales
  • Multi-scale modeling

13
Other flow features for micro-fluidics
  • Low Reynolds number flow
  • Large viscous force
  • Low Capillary number flow
  • Large surface force
  • High Peclet number flow
  • Disperse and diffusion
  • Slow diffusion effects
  • Special transport mechanism
  • Mixing chaotic mixing
  • Separation particle, polymer and DNA

14
Low Reynolds number flow (Stokes flow)
  • Reynolds number (Re) is the ratio between
    inertial force to viscous force
  • Scaling between intertial force and viscous force
    in NS equation
  • Length scale L
  • Velocity scale U
  • Flow classification based on Re

http//www.youtube.com/watch?vgbDscDSUAg4feature
channel_page
http//www.youtube.com/watch?v2ghBUcQG1lQfeature
channel_page
15
Low Reynolds number flow (Stokes flow)
  • In micro-fluidics, Relt1
  • Laminar flow
  • the viscous force dominant the inertial force
  • Inertial irrelevance

Purcell 1977
http//www.youtube.com/user/Swimmers1
16
Low Capillary number flow
  • Capillary number (Ca) is the ratio between
    viscous force to surface force
  • What is surface tension?
  • Stretch force along the material interface

17
Low Capillary number flow
  • Capillary number (Ca) is the ratio between
    viscous force to surface force
  • Scaling between viscous force and surface force
    in NS equation
  • Length scale L
  • Velocity scale U

18
Low Capillary number flow
  • In micro-fluidics, Ca ltlt1
  • Surface force dominant flow
  • Wetting effects

Micro-fluidic pin-ball routing
19
High Peclet number flow
  • Peclet number (Pe) is the ratio advection rate of
    a flow to its diffusion rate
  • Advection, diffusion and dispersion
  • Advection transport that is due to flow
  • Diffusion results from movement of particles
    along concentration gradients
  • Dispersion transport that describes local
    mixing, which results in locally varying fluid
    flow velocity

http//ccl.northwestern.edu/netlogo/models/run.cgi
?SolidDiffusion.591.481
20
High Peclet number flow
  • In most of the liquid flow, also in
    micro-fluidics, Pe gtgt1
  • Strategy for faster mixing
  • increase the length of mixing layer
  • Long channel
  • Long trajactory line Chaotic mixing (Use of
    disperseion)

21
Chaotic Mixing
  • Stretching and folding the mixing layer by
    localized flows
  • Different approaches
  • Geometric structure
  • Surface tension effects
  • Electrohydrodynamically-driven

Micro-fluidics crystallization system.
Electrohydrodynamically-driven microfluidic
mixing
22
Separation in micro-fluidics
  • External force used to move the solute
  • Separating particle on different mobility
  • Large mass, small velocity
  • Dielectric properties

23
Separating long DNAs
  • Long DNAs
  • Same mobility
  • Mechanism of separation
  • Weissenberger number relaxation time to shear
    rate or flow time scale
  • Longer chain, longer relaxation time
  • Longer chain, less diffusion coefficient

24
Separating long DNAs (1)
25
Separating long DNAs (1)
26
Numerical Modeling Challenges
  • Multi Physical Phenomenon
  • Thermal, Fluidic, Mechanical, Biological,
    Chemical, Electrical
  • Multi-scale
  • Continuum and atomistic modeling may coexist
  • Multi-phase
  • Gas, liquid
  • Complex fluids
  • Particle, nano-structures, polymer, DNA
  • Complex geometry
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