In many cases, COMSOL’s automatically created default mesh, which is produced from physics-dependent defaults, will be appropriate for the problem. Initial conditions and boundary conditions are set up within the interface. In the next step, you select appropriate fluid properties and choose a suitable physics interface.
Microcosm flow software#
For importing geometry models, several choices are available to you: the CAD Import Module, for import of mechanical CAD models the ECAD Import Module for import of electronic layouts and the LiveLink™ products for CAD for a direct link to models created in a dedicated CAD software package. To model a microfluidic device, you begin by defining the geometry in the software by importing a CAD file or via the geometry modeling tools that are built into COMSOL Multiphysics. Workflow for Modeling Microfluidic Devices For each of these, the capabilities of the Microfluidics Module include surface tension forces, capillary forces, and Marangoni effects. The Microfluidics Module also provides dedicated methods for simulation of two-phase flow with the level set, phase field, and moving mesh methods. For simulating rarefied gas flows, you can use the specialized boundary conditions that activate flow simulation in the slip flow regime. In addition, chemical diffusion and reactions for dilute species functionality included in the module enable you to simulate processes occurring in lab-on-a-chip devices. It is easy to set up coupled electrokinetic and magnetodynamic simulations – including electrophoresis, magnetophoresis, dielectrophoresis, electroosmosis, and electrowetting. A streamline visualization shows extensive folding and stretching of the flow field.ĬOMSOL’s general-purpose multiphysics features are uniquely suited for handling the many microscale effects that are utilized in microfluidic devices. A time-dependent electric field is applied, and the resulting electroosmosis perturbs the flow. The Microfluidics Module is designed specifically for handling momentum, heat, and mass transport with special considerations for fluid flow at the microscale.ĮLECTROOSMOTIC MIXER: This particular micromixer takes advantage of electroosmosis to mix fluids. This has implications for chemical transport within microfluidic systems. Laminar and creeping flows make mixing particularly difficult, so mass transport is often diffusion limited, but even in microfluidic systems diffusion is often a slow process. In many cases, the creeping (Stokes) flow regime applies (Re«1). The Reynolds number (Re) that characterizes the ratio of these two forces is typically low, so the flow is usually laminar. This is apparent in the fluid flow itself as the viscous forces, which are generated by shear over the isovelocity surfaces, dominate over the inertial forces. In general, as the length scale of the fluid flow is reduced, properties that scale with the surface area of the system become comparatively more important than those that scale with the volume of the flow. Manipulation of fluids at the microscale has a number of advantages – typically microfluidic systems are smaller, operate faster, and require less fluid than their macroscopic equivalents.Įnergy inputs and outputs are also easier to control (for example, heat generated in a chemical reaction) because the surface-to-area volume ratio of the system is much greater than that of a macroscopic system. Microfluidic flows occur on length scales that are orders of magnitude smaller than macroscopic flows. The Microfluidics Module includes ready-to-use user interfaces and simulation tools, so called physics interfaces, for single-phase flow, porous media flow, two-phase flow, and transport phenomena. Important applications include simulations of lab-on-a-chip devices, digital microfluidics, electrokinetic and magnetokinetic devices, and inkjets. The Microfluidics Module brings you easily-operated tools for studying microfluidic devices. Microcosm state, sending it to child "passive view" components.General-Purpose Microfluidics Simulations Special React component that can build a view model around a given
Pagination repo is able to filter the data set down to only what it Forks dispatch sequentially, so the child Repo that only keeps track of the current page.Īs getUsers() is called, the roster will add the new users to the In this example, we've added special version of the roster Additionally, it inherits state updates from its length ) // 10įork returns a new Microcosm, however it shares the same action Import Microcosm, ) // 10 users // when it finishes.
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