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#Comsol 5.1 diffusion software#
#Comsol 5.1 diffusion license#

Watch the archived webinar to see COMSOL Multiphysics 5.1 in action. With the help of infinite elements, porous domains are permitted to be unbounded. You can also easily combine porous media and turbulent flow in your fluid flow simulations. In addition, version 5.1 of COMSOL Multiphysics includes a new interface for modeling high Reynolds number dispersed two-phase flow. There is also a new tool for coil geometry analysis, which makes it possible to simulate coils with non-constant cross sections. A new optical material library has been added and includes 1,400 different materials. Updates to mechanical simulations include hygroscopic swelling and nonlinear materials for membranes. If a simulation has an infinite domain, such as for propagation of acoustic, RF, microwave, optical, and elastic waves, you are now able to visualize fields outside of the computational mesh.

#Comsol 5.1 diffusion software#

COMSOL Server, used for managing and distributing apps, allows users to run apps on multiple computers, thus distributing heavy workloads with ease.Īdditionally, this software version introduces a useful Part Library for quick geometry set-up of some common parts. The Application Builder further offers enhanced efficiency through better file handling, searches for strings and keywords, table sorting, and more.

#Comsol 5.1 diffusion license#

Anyone with a COMSOL Multiphysics 5.1 license can open and inspect tutorials and demo apps, even without the add-on products required for specific models. You can now also configure your apps to send simulation reports by email when the results are ready. In COMSOL Multiphysics version 5.1, the Model Builder and Application Builder are more closely integrated, making it easier to turn your models into apps. In this archived webinar, we introduce you to the software and share highlights from the release of version 5.1. In the figure below, the dimensionless position and velocity are plotted as functions of the dimensionless time t‘.COMSOL Multiphysics version 5.1 improves your simulation experience with 20 new demo apps and many new features and functionality enhancements across the product suite.

This plot illustrates that the particle velocity asymptotically approaches the terminal velocity, with most of the acceleration happening during the first few multiples of the Lagrangian time scale τ p. Lithium-air batteries have a theoretical energy density value of about 11400 Wh/kg, which is nearly 10 times greater than, for instance, the lithium-ion batteries used in today's mobile phones and electric cars. The particle position appears to change linearly after this initial acceleration period. Rechargeable metal-air batteries have recently attracted great interest, mainly due to their high specific energy density. Time Scales for Some Typical Particle Sizes Plot of the dimensionless position and velocity of a particle undergoing gravitational settling, starting from rest. To get a better idea of the time scales involved in particle acceleration, suppose the particles are silica glass beads with a density of about 2200 kg/m 3. The following table gives some values for the Lagrangian time scale in air and in water for different particle sizes.

The diameter-squared dependence of τ p means that large particles have a much greater velocity response time and a much greater terminal velocity than small particles.

Large particles fall to the ground much faster than small particles.

When large particles are launched into a fluid with some initial velocity, they follow ballistic trajectories, capable of traveling a considerable distance before the drag force slows them down.

In contrast, smaller particles will match the fluid velocity much sooner when they spread out, it is more likely due to turbulent diffusion of the surrounding fluid. In the previous section, we were quite lucky that Eq. It was only possible to obtain an exact solution because of all of the simplifying assumptions involved, most notably that the fluid velocity u was zero everywhere. In most real-world systems, the velocity of the surrounding fluid is not only nonzero but also spatially nonuniform, and then it is very unlikely that an exact solution can be found with pen and paper alone.įor more general problems, we can turn to numerical simulation to get an approximate answer. The main idea is that, given the initial particle position q 0 and velocity v 0 at the initial time t = 0, we can use numerical time stepping algorithms to estimate the solution at a set of discrete time steps t 1, t 2, t 3, etc. A wide variety of different time stepping algorithms have been devised for this purpose, many of which are available in the COMSOL Multiphysics® software.

Solving a set of differential equations numerically introduces some amount of error - the difference between the real-world particle motion and the computed numerical solution.