4 research outputs found
Stochastic Rotation Dynamics simulations of wetting multi-phase flows.
Multi-color Stochastic Rotation Dynamics (SRDmcSRDmc) has been introduced by Inoue et al. [1] ; [2] as a particle based simulation method to study the flow of emulsion droplets in non-wetting microchannels. In this work, we extend the multi-color method to also account for different wetting conditions. This is achieved by assigning the color information not only to fluid particles but also to virtual wall particles that are required to enforce proper no-slip boundary conditions. To extend the scope of the original SRDmcSRDmc algorithm to e.g. immiscible two-phase flow with viscosity contrast we implement an angular momentum conserving scheme (View the MathML sourceSRD+mc). We perform extensive benchmark simulations to show that a mono-phase SRDmcSRDmc fluid exhibits bulk properties identical to a standard SRD fluid and that SRDmcSRDmc fluids are applicable to a wide range of immiscible two-phase flows. To quantify the adhesion of a View the MathML sourceSRD+mc fluid in contact to the walls we measure the apparent contact angle from sessile droplets in mechanical equilibrium. For a further verification of our wettability implementation we compare the dewetting of a liquid film from a wetting stripe to experimental and numerical studies of interfacial morphologies on chemically structured surfaces
Stochastic Rotation Dynamics simulations of wetting multi-phase flows
Multi-color Stochastic Rotation Dynamics (SRDmc) has been introduced by Inoue et al. as a particle based simulation method to study the flow of emulsion droplets in nonwetting microchannels. In this work, we extend the multi-color method to also account for different wetting conditions. This is achieved by assigning the color information not only to fluid particles but also to virtual wall particles that are required to enforce proper no-slip boundary conditions. To extend the scope of the original SRDmc algorithm to e.g. immiscible two-phase flow with viscosity contrast we implement an angular momentum conserving scheme (SRDmc+). We perform extensive benchmark simulations to show that a mono-phase SRDmc fluid exhibits bulk properties identical to a standard SRD fluid and that SRDmc fluids are applicable to a wide range of immiscible two-phase flows. To quantify the adhesion of a SRDmc+ fluid in contact to the walls we measure the apparent contact angle from sessile droplets in mechanical equilibrium. For a further verification of our wettability implementation we compare the dewetting of a liquid film from a wetting stripe to experimental and numerical studies of interfacial morphologies on chemically structured surfaces
Stochastic Rotation Dynamics simulations of wetting multi-phase flows
Multi-color Stochastic Rotation Dynamics (SRDmc) has been introduced by Inoue
et al. as a particle based simulation method to study the flow of emulsion
droplets in non-wetting microchannels. In this work, we extend the multi-color
method to also account for different wetting conditions. This is achieved by
assigning the color information not only to fluid particles but also to virtual
wall particles that are required to enforce proper no-slip boundary conditions.
To extend the scope of the original SRDmc algorithm to e.g. immiscible
two-phase flow with viscosity contrast we implement an angular momentum
conserving scheme (SRDmc+). We perform extensive benchmark simulations to show
that a mono-phase SRDmc fluid exhibits bulk properties identical to a standard
SRD fluid and that SRDmc fluids are applicable to a wide range of immiscible
two-phase flows. To quantify the adhesion of a SRDmc+ fluid in contact to the
walls we measure the apparent contact angle from sessile droplets in mechanical
equilibrium. For a further verification of our wettability implementation we
compare the dewetting of a liquid film from a wetting stripe to experimental
and numerical studies of interfacial morphologies on chemically structured
surfaces.Comment: preprint submitted to Journal of Computational Physic