Core Functionality

Lexi Carver | October 29, 2014

Last month, my colleague Ruud described some of the most effective ways to use arrow plots in your COMSOL Multiphysics simulation results. In this next installment of the postprocessing series, I’ll continue with slice plots, which are an easy way to visualize physics behavior on many different parts of your model.

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Walter Frei | October 24, 2014

One of the most common questions we get is: How large of a model can you solve in COMSOL Multiphysics? It turns out that this is quite tricky to answer decisively, so in this blog entry, we will talk about memory requirements, model size, and how you can predict the amount of memory you will need for solving large 3D finite element problems.

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Ruud Börger | September 30, 2014

In a recent blog post, Lexi explained how to best use line, surface, and volume plots. We will now look into arrow plots and how you can use these to your advantage. After a beginner’s guide, you’ll get a “look in the kitchen” via a very interesting industrial application where arrow plots played a crucial design role in winning a consulting assignment.

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Lexi Carver | September 1, 2014

Plotting visual simulation results on a model geometry is a great way to unveil the sometimes-mysterious physics happening behind the scenes in a device. Like learning a language, knowing how to use postprocessing tools helps designers investigate and understand their designs and processes more fully. Surface, volume, and line plots are three of the most common plot types used in postprocessing, and are applicable to many simulations.

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Mranal Jain | August 26, 2014

Creating animations is an effective way to present and visualize simulation results. In COMSOL Multiphysics, this is fairly straightforward using the Player node for time-dependent or parameter sweep study types. But, can we animate how the solution changes along a direction in a 3D steady-state model? The answer is yes. Here, we will learn how to combine parallel slices to create an animation for a 3D steady-state example model, using a three-step process.

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Wei Guo | July 30, 2014

We have all experienced the boredom and frustration of being stuck in a traffic jam. Very often, traffic congestion comes and goes for no obvious reason. Employing the analogy to gas dynamics, we can now simulate traffic flow using the equation-based modeling capabilities of COMSOL Multiphysics and gain a better understanding of why congestion happens.

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Temesgen Kindo | July 28, 2014

In a previous blog entry, we discussed the join feature in COMSOL Multiphysics in the context of stationary problems. Here, we will address parametric, eigenfrequency, frequency domain, and time-dependent problems. Additionally, we will compare and contrast the built-in with and at operators versus solution joining.

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Temesgen Kindo | July 1, 2014

In engineering analysis, the need to compare solutions obtained under different circumstances frequently arises. Some possible scenarios include comparing the effect of different load or parameter configurations, and enveloping results to find the worst or best case at each point of the domain. In each of these and other similar cases, you need access to more than one data set. Here’s how to accomplish such tasks using COMSOL Multiphysics.

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Supratik Datta | June 9, 2014

Today, we will find out how to compute the total normal flux through a cross-section plane, passing through your simulation geometry. This can help us bridge the gap between simulations and experiments where, in the latter, it is often easier to physically measure the total flux. The approach discussed here works for any type of physics problem as long as we can identify the appropriate flux term corresponding to that physics.

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Fabrice Schlegel | May 30, 2014

Most numerical simulation methods (finite elements, finite volumes, and finite differences) require stabilization methods when modeling transport applications driven mainly by convection rather than diffusion. With the Finite Element Method (FEM), stabilization means adding a small amount of artificial diffusion. This leads to more robust and faster computational performance. Here, we provide insight on the impact of stabilization on your numerical model. We also look at an alternative numerical method that is very efficient and does not require any stabilization.

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Lexi Carver | May 26, 2014

When you have solved a model, you want to visualize your results in the best way possible. Today, we will explain how to include geometry surfaces with your solution plots, by way of an RF modeling example.

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