Utilizing bifurcations to separate particles in spiral inertial microfluidics Rahil N. Valani1aBrendan Harding2band Yvonne M. Stokes1c 1School of Mathematical Sciences University of Adelaide South Australia 5005 Australia

2025-05-06 0 0 2.77MB 6 页 10玖币
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Utilizing bifurcations to separate particles in spiral inertial microfluidics
Rahil N. Valani,1, a) Brendan Harding,2, b) and Yvonne M. Stokes1, c)
1)School of Mathematical Sciences, University of Adelaide, South Australia 5005, Australia
2)School of Mathematics and Statistics, Victoria University of Wellington, Wellington 6012,
New Zealand
(Dated: 28 October 2022)
Particles suspended in fluid flow through a closed duct can focus to specific stable locations in the duct cross-section due
to hydrodynamic forces arising from the inertia of the disturbed fluid. Such particle focusing is exploited in biomedical
and industrial technologies to separate particles by size. In curved ducts, the particle focusing is a result of balance
between two dominant forces on the particle: (i) inertial lift arising from small inertia of the fluid, and (ii) drag arising
from cross-sectional vortices induced by the centrifugal force on the fluid. Bifurcations of particle equilibria take place
as the bend radius of the curved duct varies. By using the mathematical model of Harding, Stokes, and Bertozzi 1, we
illustrate via numerical simulations that these bifurcations can be leveraged in a spiral duct to achieve large separation
between different sized particles by transiently focusing smaller particles near saddle-points. We demonstrate this by
separating similar-sized particles, as well as particles that have a large difference in size, using spiral ducts with square
cross-section. The formalism of using bifurcations to manipulate particle focusing can be applied more broadly to
different geometries in inertial microfluidics which may open new avenues in particle separation techniques.
The ability to separate particles of different sizes suspended
in a fluid is important in many biomedical and industrial tech-
nologies2. For example, efficient isolation of rare circulating
tumor cells from a large concentration of red blood cells and
white blood cells in a blood sample can revolutionize cancer
diagnostics and help in determining a likely prognosis3. An-
other example is the detection and separation of waterborne
pathogens in drinking water4–6. Microfluidics has become
an important tool for particle separation due to small sample
consumption, fast processing time, high spatial resolution and
high portability7. Amongst the different possible microfluidic
technologies aimed at particle separation, inertial microflu-
idics has been used widely because of its ease of operation
and high separation resolution8,9.
Segré and Silberberg10 first reported that particles sus-
pended in fluid flow through a straight pipe with a circular
cross-section can migrate across streamlines and accumulate
to an annular region at approximately 60% of the pipe radius.
This deviation of particles from fluid streamlines is due to the
inertial lift force acting on the particle that arises from small
but non-negligible inertia of the disturbed fluid flow at low to
moderate Reynolds numbers. This results in the phenomenon
of inertial migration and subsequent focusing of particles. In
straight ducts, the locations where no net force acts on the
particle in the duct cross-section, henceforth referred to as
particle equilibria, vary with the geometry of the duct cross-
section11, particle size1and the flow Reynolds number12,13.
Adding curvature to the duct also influences particle equilib-
ria via the introduction of cross-sectional vortices to the flow,
known as Dean vortices1,14. Curved microchannels with cir-
cular and spiral geometries are commonly used in inertial mi-
crofluidic devices aimed at particle separation by size2. In
these channels, the interplay between (i) the inertial lift force
a)Electronic mail: rahil.valani@adelaide.edu.au
b)Electronic mail: brendan.harding@vuw.ac.nz
c)Electronic mail: yvonne.stokes@adelaide.edu.au
arising from fluid inertia, and (ii) the secondary drag force
arising from Dean vortices, determines the number, nature and
location of particle equilibria. By tuning the relative strength
of these forces via changes in the bend radius, the particle
equilibria can be manipulated to achieve particle separation
for different sized particles.
Spiral channels with rectangular and trapezoidal cross-
sections have shown promise for efficient size-based particle
separation2. In these geometries, the various parameters are
chosen such that one obtains a horizontal separation between
the particle equilibria of the chosen particle sizes to be sep-
arated. The particles focus to their respective stable equilib-
rium points or a stable limit cycle towards the end of the spiral
channel after which the channel is split into multiple chan-
nels to collect the separated particles15–18. Another separation
method commonly used with circular and spiral channels hav-
ing rectangular cross-section is known as Dean Flow Fraction-
ation (DFF)19,20. In this method, the spiral channel has two
inlets, one consisting of the sample containing particles (typi-
cally a mix of two distinct sizes) and the other through which
a sheath flow is introduced. As the particles flow through the
curved channel, the Dean vortices transport the smaller parti-
cles towards the outer wall, while a balance of inertial lift and
secondary drag equilibrates the larger particles near the inner
wall, thus achieving separation between the two particle sizes.
Note that with this method, the smaller particles do not reach
a stable equilibrium position, rather, their well-controlled mi-
gration due to Dean vortices drives their separation from the
larger particles. A variant of DFF has also been developed
to separate several different smaller (sub-micron) sized parti-
cles and is called High-Resolution Dean Flow Fractionation
(HiDFF)21.
Many advances in particle separation methods are primar-
ily driven by experimental trial-and-error, with the potential
of predicting and optimizing particle separation based on the-
oretical models and numerical simulations not yet being fully
exploited. Although the use of theoretical and numerical
methods has progressed our understanding of particle equi-
libria and their bifurcations in straight channels22–25, only
arXiv:2210.15197v1 [physics.flu-dyn] 27 Oct 2022
2
FIG. 1. Schematic of the theoretical setup. A particle of radius awith
center located at xp=x(θp,rp,zp)is suspended in an incompress-
ible fluid flow through an Archimedean spiral duct having a uniform
square cross section of side length l. The enlarged view of the cross-
section illustrates the local cross-sectional (r,z)co-ordinate system,
and the secondary flow (gray closed curves) induced by the curvature
of the duct. The edge labeled “inner wall" is the side closer to ori-
gin (x,y,z) = (0,0,0)while the edge labeled “outer wall" is the side
further away from the origin.
recently, progress has also been made to gain a systematic
understanding of the particle equilibria in curved channels1.
This has improved the understanding of how various system
parameters, such as particle size, bend radius and aspect ratio
of the cross-section, can affect the location and nature of the
particle equilibria. Subsequently, rich bifurcations in particle
equilibria have been observed with respect to variations in the
bend radius of the curved duct26–28. Herein, we illustrate how
these bifurcations can be utilized to design spiral microchan-
nels that produce large separation between two sets of differ-
ent sized particles. Although we restrict the present study to a
square cross-section and certain particle sizes to illustrate the
separation mechanism, the general formalism is applicable to
a broad range of geometries in which similar bifurcations in
the particle equilibria take place.
With reference to Fig. 1, consider a particle of density ρ
and radius asuspended in an incompressible fluid flow of
the same density ρand dynamic viscosity µflowing through
an Archimedean spiral duct. The instantaneous radius of
the spiral varies with the azimuthal angle θaccording to
R(θ) = Rstart + (R/2πNturns)θwhere R=Rend Rstart is
the change in radius from the start to the end of the spiral
duct and Nturns represents the number of turns of the spiral.
The cross-section of the channel is uniform and has a square
geometry with side length l. The horizontal and vertical co-
ordinates within the square cross-section are denoted by rand
z, respectively, with the origin at the center of the square i.e.
the domain is l/2rl/2, l/2zl/2. These cross-
sectional co-ordinates are related to the global co-ordinates of
the three-dimensional spiral duct as follows:
x(θ,r,z) = (R(θ) + r)cos(θ)i+ (R(θ) + r)sin(θ)j+zk.
The location of the particle’s center is given by xp=
x(θp,rp,zp). In the absence of the particle, the incompressible
steady fluid flow in a curved duct driven by a steady pressure
gradient is referred to as Dean flow14,29,30. The presence of
a particle disturbs this background Dean flow and the parti-
cle responds to this disturbed flow. Harding et al.1developed
a general model for the leading order forces that govern the
motion of such a particle in flow through a curved duct (con-
stant R(θ)) at sufficiently small flow rates. The forces on the
particle from the fluid are calculated and used to construct a
first order model for the trajectory of the particle giving the
following dynamical equations of motion1:
drp
dt=Rep
Fs,r
Cr
,dzp
dt=Rep
Fs,z
Cz
and dθp
dt=¯ua
R/a+rp
,
where ¯uais the axial component of the background fluid flow
velocity, Fs,r=Fs·erand Fs,z=Fs·ezare the radial and
the vertical components of the cross-sectional force, respec-
tively, with corresponding drag coefficients Crand Czthat vary
with the particle’s position in the cross-section. The particle
Reynolds number is Rep=Re(a/l)2, where Re =ρUml/µ
is the channel Reynolds number with Umthe characteristic
axial velocity of the background fluid flow. Here, we use a
quasistatic approximation for the background fluid flow and
extend this particle dynamics model to investigate particle dy-
namics in spiral ducts. This approximation is reasonable for
spiral ducts with slowly changing curvature where the flow
locally does not differ significantly from Dean flow in a con-
stant curvature duct with the same curvature31. Numerical
implementation of this model involves using a finite element
method to compute the forces acting on the particle (see Hard-
ing et al.1for more details). Once the forces are pre-computed
at numerous points in the cross-section and for numerous sys-
tem parameter values, interpolants of Cr,Cz,Fs,r,Fs,zare con-
structed and the particle dynamics are then simulated using
the MATLAB solver ode45. For simulations of particle dy-
namics in a spiral duct, we fix the channel Reynolds number
to Re =25. All the results presented herein are in dimen-
sionless units with the dimensionless variables denoted by an
overhead tilde and the lengths scaled by l/2.
Consider particles of three different sizes ˜a1=0.05, ˜a2=
0.10 and ˜a3=0.15. For these particle sizes in a curved duct of
constant bend radius, nine different particle equilibria exist in-
side the square cross-section for large bend radius (see Fig. 2
and also Fig. 2(a,b) of Valani, Harding, and Stokes 27 ); four
stable nodes (green) near the center of the four edges, four
saddle points (yellow) near the corners and an unstable node
(red) near the center of the square cross-section. A slow mani-
fold is formed along a closed curve that connects all the stable
nodes and saddle points due to a large disparity in the magni-
tude of the two eigenvalues for these equilibria. As the bend
radius is decreased progressively, a number of bifurcations
take place. Firstly, saddle-node bifurcations take place where
the stable nodes near the center of the top and bottom walls of
the square collide and annihilate with the saddle points located
near the inner wall. Further decreasing the bend radius results
in the stable node located near the outer wall undergoing a
subcritical pitchfork bifurcation with the two saddle points lo-
cated above and below, and the three equilibria merge into a
single saddle point. As the bend radius is yet further reduced,
the unstable node near the center of the duct migrates towards
the stable node located near the inner wall and undergoes a
series of bifurcations28. Finally, at small bend radius, we get
摘要:

UtilizingbifurcationstoseparateparticlesinspiralinertialmicrouidicsRahilN.Valani,1,a)BrendanHarding,2,b)andYvonneM.Stokes1,c)1)SchoolofMathematicalSciences,UniversityofAdelaide,SouthAustralia5005,Australia2)SchoolofMathematicsandStatistics,VictoriaUniversityofWellington,Wellington6012,NewZealand(Da...

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