Join us online for COMSOL Day San Jose to see firsthand how multiphysics simulations can benefit your work. Whether you are considering using COMSOL Multiphysics® in your organization and want to see how it works, or an existing user looking to catch the latest news, this event has something for you. Feel free to invite your colleagues.
Please view our schedule below. Register for free today!
Learn about new features in the latest version of COMSOL Multiphysics®, including how they can be incorporated into your multiphysics models.
Solving Challenging Multiphysics Problems Using COMSOL Multiphysics®
At Veryst Engineering, we regularly use multiphysics simulations to solve our clients’ challenging engineering problems. We combine the power and flexibility of COMSOL Multiphysics® with our consultants’ expert understanding of the underlying physics and our detailed knowledge of the software’s advanced features. We use a wide range of complementary tools, including experimental testing, analytics, failure analysis, material calibration, and custom programming/scripting. I will present three real-world simulation case studies: adhesive debonding in a flexible wearable device, FSI analysis of a heart valve, and viscoplastic material modeling using PolyUMod®.
Numerical Modeling of Hydrogen Fuel Cells Using COMSOL®
Fuel cells are promising energy conversion devices for the future due to their use of hydrogen and their role in reducing greenhouse gas emissions. Performance, cost, and durability however remain a concern for their widespread adaptation. Multiphysics modeling is crucial to understand and optimize the coupled physical phenomena involved in fuel cell operation. This talk will highlight some examples of using the COMSOL Multiphysics® framework and MATLAB® interface to explore the fuel cell operating complexities in detail. A macro-homogeneous 2D and pseudo 3D model have been developed to understand the role of water management in fuel cell performance. The techniques presented in this talk are part of an overall optimization workflow, which can be utilized for several energy systems, such as electrolyzers, batteries, CO2 reduction systems, and solar fuel generators.
3D-Printed Inductors and Transformers for High-Frequency Power Electronics
As new applications are emerging for very-high-frequency power converters, including wireless power transfer and plasma generation for semiconductor manufacturing, the demand for magnetic components suitable for these frequency regimes increases as well. Currently, there are limited magnetic core materials available above 10 MHz, therefore making air-core components the primary option. As the switching frequency of power converters increases, the energy storage demands of magnetic components decreases, which allows us to utilize small-value air-core components. One of our strategies for magnetic design in this frequency space is low-cost rapid prototyping and 3D printing of air-core magnetic components. For these components, we develop toroidal inductors and transformers in CAD, 3D print the design, and electroplate copper onto the surface of the structure. Our work has also focused on finite element method (FEM) simulations in COMSOL® with automation and scripting capabilities, allowing circuit designers straightforward methods in obtaining inductor and transformer parameters based on these CAD drawings.
Learn about best practices when importing CAD geometries and meshes for analyses in COMSOL Multiphysics®. The minicourse will introduce tools in COMSOL Multiphysics® for defeaturing and removal of details from CAD geometries, as well as the necessary preparation of CAD geometries before import, including steps to identify and resolve errors originating from the CAD file.
Get an overview of the Structural Mechanics Module, an add-on to COMSOL Multiphysics® for analyzing the mechanical behavior of solid structures.
Get a brief overview of the electromagnetic modeling tools of COMSOL Multiphysics® with a focus on the AC/DC Module, RF Module, Wave Optics Module, and Ray Optics Module.
Learn to use gradient-based and derivative-free optimization techniques to define and solve problems in shape, parameter, and topology optimization. The techniques shown are applicable for almost all types of models.