William Vetterling | July 9, 2015

Today, we welcome guest blogger William Vetterling of ZINK Imaging to the COMSOL Blog. If you read the 2015 edition of COMSOL News, you may have seen my review of the newly released Application Builder. In that review, I shared an example of a simple thermal model of an IR microscope that we had created a year earlier for use in our laboratory at ZINK Imaging. Now I will share how we turned that model into an app.

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Brianne Costa | July 8, 2015

Solar energy is created by combining sunlight with a semiconducting material, often silicon. But solar, or photovoltaic, cells require such a high-quality silicon that the manufacturing process is complicated and costly. As a photovoltaic material producer and furnace manufacturer, EMIX turned to COMSOL Multiphysics® simulation software to optimize their cold crucible continuous casting (4C) process and create the silicon needed for a more efficient solar-powered world.

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Eric Favre | July 7, 2015

Previously on the blog, we introduced you to the tears of wine phenomenon and its cause — the Marangoni effect. This effect results from a gradient of surface tension at the interface between two phases. In situations where a surface gradient is temperature dependent, the Marangoni effect is referred to as Marangoni convection. Here, we will demonstrate how to analyze Marangoni convection in COMSOL Multiphysics and easily separate effects, such as gravity, in your simulations.

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Ed Fontes | July 6, 2015

Since we released version 5.0 of the COMSOL Multiphysics® software, you have the ability to create simulation apps — either starting from scratch or with a demo app from the Application Library. Today, we’ll introduce you to an app that can be used for understanding and optimizing mixer design and operation for a given fluid. The exemplified application models and simulates stirred tank mixers, which are used for reactors in the fine chemical, pharmaceutical, food, and consumer products industries.

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Wei Guo | July 2, 2015

Component coupling operators are a useful set of tools included in COMSOL Multiphysics. They can be used to derive numerical values, create new coordinate systems, and link different components in the same model. In this blog post, we will explore yet another possibility: Using General Extrusion, one of the component coupling operators, to extract local solution data and postprocess effectively.

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Jiyoun Munn | July 1, 2015

In electromagnetics simulations, the ultimate goal is to boost the efficiency and productivity of your device by closely mimicking the effects observed in reality. This process requires an understanding of the reality you are trying to describe and mimic, as well as the details that should be included. Let’s explore the reality of electromagnetic waves with regards to the measurement environment.

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Walter Frei | June 30, 2015

Over the last several weeks, we’ve published a series of blog posts addressing the various domain and boundary conditions available for wave electromagnetics simulation in the frequency domain; as well as modeling, meshing, and solving options. In this blog post, I will tie all of this information together and provide an introduction to the various types of problems that you can solve in the RF and Wave Optics modules.

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Henrik Sönnerlind | June 29, 2015

The most fundamental material model for structural mechanics analysis is the linear elastic model. Trivial as it may sound, there are some important details that may not be obvious at first glance. In this blog post, we will dive deeper into the theory and application of this material model and give an overview of isotropy and anisotropy, allowable values for material data, incompressibility, and interaction with geometric nonlinearity.

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Walter Frei | June 25, 2015

COMSOL Multiphysics version 5.1 includes a Previous Solution operator within time-dependent studies. This operator allows you to evaluate quantities at the previous time step when using the default implicit time-stepping algorithm. Let us take a look at how this operator is implemented and then examine how it can be used for various modeling needs.

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Chandan Kumar | June 24, 2015

Previously on the blog, we have discussed the need for appropriate measured data to fit the material parameters that correspond to a material model. We have also looked at typical experimental tests, considerations for operating conditions when choosing a material model, and an example of how to use your measured data directly in a nonlinear elastic model. Our focus today will be on how to fit your experimental data to different hyperelastic material models.

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Brianne Costa | June 23, 2015

As you leave for work, your garage door closes and texts your office coffeemaker to start brewing a fresh pot. During the day, your sprinkler system gets a weather report that it’s going to rain and cancels its afternoon watering. This isn’t a futuristic television show, it’s the Internet of Things, and with the next generation of wireless communication, 5G, it’s coming soon. First, we need to optimize the performance of existing mobile device antennas.

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