Blog Posts Tagged Technical Content
How to Use Acoustic Topology Optimization in Your Simulation Studies
Today, guest blogger René Christensen of GN Hearing discusses the importance of acoustic topology optimization and how to apply it in COMSOL Multiphysics. Topology optimization is a powerful tool that enables engineers to find optimal solutions to problems related to their applications. Here, we’ll take a closer look at topology optimization as it relates to acoustics and how we optimally distribute acoustic media to obtain a desired response. Several examples will further illustrate the potential of this optimization technique.
Introduction to Efficiently Modeling Antennas in COMSOL Multiphysics®
Here’s your guide to efficiently modeling antennas using COMSOL Multiphysics® and the RF Module. An anechoic chamber, which is used to characterize antenna performance, is used as an example.
Modeling Fatigue Failure in Elastoplastic Materials
One example of fatigue failure? Bending a metal paper clip back and forth until it eventually breaks. Learn how to model this type of behavior in elastoplastic materials using COMSOL Multiphysics®.
How to Automate Winding Design in Electrical Machines with an App
Learn how to create selections in COMSOL Multiphysics® to streamline the analysis of a winding design for electrical machines, as well as how to automate the process with the Application Builder.
How to Model Short Circuits in Lithium-Ion Batteries
When the chemical energy stored in a lithium-ion battery is lost as heat, rather than being used to power a device, it is known as a short circuit. Learn how to model this phenomenon.
Understanding the Different Elements of Gear Modeling
Your introduction to the features and functionality for modeling gears in COMSOL Multiphysics®.
How to Model Large-Strain Viscoelasticity in COMSOL Multiphysics®
Learn how to model large-strain viscoelastic deformation, a common behavior exhibited by polymers and biological tissues, in COMSOL Multiphysics®.
Understand the Dynamics of the FitzHugh-Nagumo Model with an App
In 1961, R. Fitzhugh and J. Nagumo proposed a model for emulating the current signal observed in a living organism’s excitable cells. This became known as the FitzHugh–Nagumo model.