72 research outputs found
Particles held by springs in a linear shear flow exhibit oscillatory motion
The dynamics of small spheres, which are held by linear springs in a low
Reynolds number shear flow at neighboring locations is investigated. The flow
elongates the beads and the interplay of the shear gradient with the nonlinear
behavior of the hydrodynamic interaction among the spheres causes in a large
range of parameters a bifurcation to a surprising oscillatory bead motion. The
parameter ranges, wherein this bifurcation is either super- or subcritical, are
determined.Comment: 4 pages, 5 figure
Disrupting the wall accumulation of human sperm cells by artificial corrugation
Many self-propelled microorganisms are attracted to surfaces. This makes
their dynamics in restricted geometries very different from that observed in
the bulk. Swimming along walls is beneficial for directing and sorting cells,
but may be detrimental if homogeneous populations are desired, such as in
counting microchambers. In this work, we characterize the motion of human sperm
cells long, strongly confined to shallow chambers. We
investigate the nature of the cell trajectories between the confining surfaces
and their accumulation near the borders. Observed cell trajectories are
composed of a succession of quasi-circular and quasi-linear segments. This
suggests that the cells follow a path of intermittent trappings near the top
and bottom surfaces separated by stretches of quasi-free motion in between the
two surfaces, as confirmed by depth resolved confocal microscopy studies. We
show that the introduction of artificial petal-shaped corrugation in the
lateral boundaries removes the tendency of cells to accumulate near the
borders, an effect which we hypothesize may be valuable for microfluidic
applications in biomedicine.Comment: 9 pages, latex. In accepted version on April 14, v2: abstract
modified, information added to Sec. II.A and experiments added to Sec. III.A
and Fig.3. Sec. III.C was deleted. Requested references adde
Scattering of biflagellate micro-swimmers from surfaces
We use a three-bead-spring model to investigate the dynamics of bi-flagellate micro-swimmers near a surface. While the primary dynamics and scattering are governed by geometric-dependent direct contact, the fluid flows generated by the swimmer locomotion are important in orienting it toward or away from the surface. Flagellar noise and in particular cell spinning about the main axis help a surface-trapped swimmer escape, whereas the time a swimmer spends at the surface
depends on the incident angle. The dynamics results from a nuanced interplay of direct collisions, hydrodynamics, noise and the swimmer geometry. We show that to correctly capture the dynamics of a bi-flagellate swimmer, minimal models need to resolve the shape asymmetry.This work was supported in part by an Established Career Fellowship from the Engineering and Physical Sciences Research Council (REG)
Hotspots of boundary accumulation: dynamics and statistics of micro-swimmers in flowing films
Biological flows over surfaces and interfaces can result in accumulation hotspots or depleted voids of microorganisms in natural environments. Apprehending the mechanisms that lead to such distributions is essential for understanding biofilm initiation. Using a systematic framework we resolve the dynamics and statistics of swimming microbes within flowing films, considering the impact of confinement through steric and hydrodynamic interactions, flow, and motility, along with Brownian and run-tumble fluctuations. Micro-swimmers can be peeled o↵ the solid wall above a critical flow strength. However, the interplay of flow and fluctuations causes organisms to migrate back towards the wall above a secondary critical value. Hence, faster flows may not always be the most e"cacious strategy to discourage biofilm initiation. Moreover, we find run-tumble dynamics commonly used by flagellated microbes to be an intrinsically more successful strategy to escape from boundaries than equivalent levels of enhanced Brownian noise in ciliated organisms
Dynamics of Fluid Vesicles in Oscillatory Shear Flow
The dynamics of fluid vesicles in oscillatory shear flow was studied using
differential equations of two variables: the Taylor deformation parameter and
inclination angle . In a steady shear flow with a low viscosity
of internal fluid, the vesicles exhibit steady tank-treading
motion with a constant inclination angle . In the oscillatory flow
with a low shear frequency, oscillates between or
around for zero or finite mean shear rate ,
respectively. As shear frequency increases, the vesicle
oscillation becomes delayed with respect to the shear oscillation, and the
oscillation amplitude decreases. At high with , another limit-cycle oscillation between and
is found to appear. In the steady flow, periodically rotates
(tumbling) at high , and and the vesicle shape
oscillate (swinging) at middle and high shear rate. In the
oscillatory flow, the coexistence of two or more limit-cycle oscillations can
occur for low in these phases. For the vesicle with a fixed shape,
the angle rotates back to the original position after an oscillation
period. However, it is found that a preferred angle can be induced by small
thermal fluctuations.Comment: 11 pages, 13 figure
Coupling of Rotational Motion with Shape Fluctuations of Core-shell Microgels Having Tunable Softness
The influence of shape fluctuations on deformable thermosensitive microgels
in aqueous solution is investigated by dynamic light scattering (DLS) and
depolarized dynamic light scattering (DDLS). The systems under study consist of
a solid core of polystyrene and a thermosensitive shell of cross-linked
poly(N-isopropylacrylamide) (PNIPA) without and with embedded palladium
nanoparticles. PNIPA is soluble in water, but has a lower critical solution
temperature at 32 C (LCST). Below the LCST the PNIPA shell is swollen. Here we
find that besides translational and rotational diffusion, the particles exhibit
additional dynamics resulting from shape fluctuations. This leads to a
pronounced apparent increase of the rotational diffusion coefficient. Above the
transition temperature the shell collapses and provides a rather tight envelope
of the core. In this state the dynamics of the shell is frozen and the
core-shell particles behave like hard spheres. A simple physical model is
presented to capture and explain the essentials of the coupling of rotational
motion and shape fluctuations.Comment: 9 pages, 7 figure
Multi-Particle Collision Dynamics -- a Particle-Based Mesoscale Simulation Approach to the Hydrodynamics of Complex Fluids
In this review, we describe and analyze a mesoscale simulation method for
fluid flow, which was introduced by Malevanets and Kapral in 1999, and is now
called multi-particle collision dynamics (MPC) or stochastic rotation dynamics
(SRD). The method consists of alternating streaming and collision steps in an
ensemble of point particles. The multi-particle collisions are performed by
grouping particles in collision cells, and mass, momentum, and energy are
locally conserved. This simulation technique captures both full hydrodynamic
interactions and thermal fluctuations. The first part of the review begins with
a description of several widely used MPC algorithms and then discusses
important features of the original SRD algorithm and frequently used
variations. Two complementary approaches for deriving the hydrodynamic
equations and evaluating the transport coefficients are reviewed. It is then
shown how MPC algorithms can be generalized to model non-ideal fluids, and
binary mixtures with a consolute point. The importance of angular-momentum
conservation for systems like phase-separated liquids with different
viscosities is discussed. The second part of the review describes a number of
recent applications of MPC algorithms to study colloid and polymer dynamics,
the behavior of vesicles and cells in hydrodynamic flows, and the dynamics of
viscoelastic fluids
Somersault of Paramecium in extremely confined environments
We investigate various swimming modes of Paramecium in geometric confinements and a non-swimming self-bending behavior like a somersault, which is quite different from the previously reported behaviors. We observe that Paramecia execute directional sinusoidal trajectories in thick fluid films, whereas Paramecia meander around a localized region and execute frequent turns due to collisions with adjacent walls in thin fluid films. When Paramecia are further constrained in rectangular channels narrower than the length of the cell body, a fraction of meandering Paramecia buckle their body by pushing on the channel walls. The bucking (self-bending) of the cell body allows the Paramecium to reorient its anterior end and explore a completely new direction in extremely confined spaces. Using force deflection method, we quantify the Young’s modulus of the cell and estimate the swimming and bending powers exerted by Paramecium. The analysis shows that Paramecia can utilize a fraction of its swimming power to execute the self-bending maneuver within the confined channel and no extra power may be required for this new kind of self-bending behavior. This investigation sheds light on how micro-organisms can use the flexibility of the body to actively navigate within confined spaces
Numerical simulations of complex fluid-fluid interface dynamics
Interfaces between two fluids are ubiquitous and of special importance for
industrial applications, e.g., stabilisation of emulsions. The dynamics of
fluid-fluid interfaces is difficult to study because these interfaces are
usually deformable and their shapes are not known a priori. Since experiments
do not provide access to all observables of interest, computer simulations pose
attractive alternatives to gain insight into the physics of interfaces. In the
present article, we restrict ourselves to systems with dimensions comparable to
the lateral interface extensions. We provide a critical discussion of three
numerical schemes coupled to the lattice Boltzmann method as a solver for the
hydrodynamics of the problem: (a) the immersed boundary method for the
simulation of vesicles and capsules, the Shan-Chen pseudopotential approach for
multi-component fluids in combination with (b) an additional
advection-diffusion component for surfactant modelling and (c) a molecular
dynamics algorithm for the simulation of nanoparticles acting as emulsifiers.Comment: 24 pages, 12 figure
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