2020
DOI: 10.1103/physrevfluids.5.113603
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Droplet shape relaxation in a four-channel microfluidic hydrodynamic trap

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Cited by 18 publications
(15 citation statements)
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“…The flow in the channels is controlled by feedback control using a model predictive control (MPC) algorithm . Recently, this device was adapted by the authors’ group for droplet microfluidics by adding a T-junction droplet formation inlet upstream of the cross-slot to form a stream of monodisperse droplets. , Both droplet deformation and coalescence can be studied using this modified version of the Stokes trap. In this work, two sets of droplet coalescence measurements are discussed to illustrate the effect of the phase to which the surfactant is added and the effect of the viscosity ratio on interfacial mobility.…”
Section: Droplet Coalescence: Phase Dependence In Surfactant Systemsmentioning
confidence: 99%
“…The flow in the channels is controlled by feedback control using a model predictive control (MPC) algorithm . Recently, this device was adapted by the authors’ group for droplet microfluidics by adding a T-junction droplet formation inlet upstream of the cross-slot to form a stream of monodisperse droplets. , Both droplet deformation and coalescence can be studied using this modified version of the Stokes trap. In this work, two sets of droplet coalescence measurements are discussed to illustrate the effect of the phase to which the surfactant is added and the effect of the viscosity ratio on interfacial mobility.…”
Section: Droplet Coalescence: Phase Dependence In Surfactant Systemsmentioning
confidence: 99%
“…D is measured by varying the strain rate and droplet confinement at fixed viscosities and interfacial tension of fluids. A recent report has shown that droplet shape relaxation in the moderately confined regime exhibited strong dependence on the droplet radius but not on the ratio of dispersed to continuous phase viscosity [ 31 ]. We also observe that droplet deformation D increases with increasing droplet radius at fixed s ( Figure 4 a).…”
Section: Resultsmentioning
confidence: 99%
“…Understanding the influence of confinement to the droplet deformation under homogeneous extensional flows will extend the utility of this approach to reveal droplet dynamics such as surfactant adsorption, droplet aging and transient interfacial dynamics. Recently, Narayan et al [ 31 ] studied the droplet shape relaxation in a four-channel microfluidic hydrodynamic trap in which they trapped and controlled the position of droplets using hydrodynamic forces and investigated the droplet shape relaxation after cessation of the pressure pulse. An empirical scaling relationship between the droplet shape relaxation and droplet radius was subsequently established and compared to the characteristic relaxation time for a droplet relaxing to equilibrium in a quiescent and infinite fluid reservoir.…”
Section: Introductionmentioning
confidence: 99%
“…The accuracy of the employed PIV algorithm has been previously exstensively assessed in literature (e.g., Guérin et al (2020), Vennemann and Rösgen (2020), Mohammadshahi et al (2020), Narayan et al (2020)). However, in order to ensure the physical consistency of our PIV measurements, two benchmark cases are here presented.…”
Section: Assessment Of Piv Chain Analysismentioning
confidence: 99%