How to Adapt the Real World for Electromagnetics Simulations

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.


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.

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.


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.


Walter Frei | June 18, 2015

When solving wave electromagnetics problems with either the RF or Wave Optics modules, we use the finite element method to solve the governing Maxwell’s equations. In this blog post, we will look at the various modeling, meshing, solving, and postprocessing options available to you and when you should use them.

Peter Lyu | June 16, 2015

In fluid flow simulations, it is often important to evaluate the forces that the fluid exerts onto the body — for example, lift and drag forces on an airfoil or a car. Engineers can use these body forces to quantify the efficiency and aerodynamic performance of designs. Today, we will discuss different ways to compute lift and drag in COMSOL Multiphysics.


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.

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.

Walter Frei | June 22, 2015

A question that we are asked all of the time is if COMSOL Multiphysics can model laser-material interactions and heating. The answer, of course, depends on exactly what type of problem you want to solve, as different modeling techniques are appropriate for different problems. Today, we will discuss various approaches for simulating the heating of materials illuminated by laser light.

Brianne Costa | June 17, 2015

The semiconductor industry uses ion implanters to implant dopants into wafers. To optimize the design of these devices, engineers need to quickly and easily test a wide range of parameters. Simulation apps help streamline the design process of ion implanters by sharing the capabilities of a simple and fully customizable interface with colleagues who don’t have a simulation background. Here, we introduce you to our Ion Implanter Evaluator demo app.

Linus Andersson | June 15, 2015

The acoustic diffusion equation is the quickest and easiest way to model high-frequency acoustics. In fact, this method of acoustical analysis proved particularly helpful in planning the layout of my parents’ future home. I will introduce the topic of acoustic diffusion by sharing my own personal experience, while highlighting the assumptions behind this modeling approach, as well as its strengths and weaknesses.


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