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All posts by Walter Frei

Combining Adaptive Mesh Refinement with Data Filtering

March 19, 2021

In a follow-up to our previous blog post on data filtering, we demonstrate how to implement adaptive mesh refinement and a Helmholtz filter for a thermal model with a nonuniform heat load.

Using Data Filtering to Improve Model Performance

March 17, 2021

Want to include experimental data in your model as a load or boundary condition, but the data varies over space or time and is noisy? Try implementing data filtering, such as a Helmholtz filter.

How to Model a Hall Effect Sensor with COMSOL Multiphysics®

March 11, 2021

Basic working principle of a Hall effect sensor: A nearby magnetic field deflects the path of current through a semiconductive sensor, which causes a measurable change in potential.

Using Global Equations to Introduce Fully Coupled Goal Seeking

January 20, 2021

Learn how to introduce a goal-seeking equation, combined with a fully coupled approach, to solve a nonlinear model. (Follow-up to an earlier blog post on goal seeking with a segregated solver.)

Introducing Goal Seeking into the Segregated Solver

January 19, 2021

Did you know that you can adjust a model input to achieve a desired output in your nonlinear problems? The process involves implementing a global equation into the segregated solver.

Modeling Parts Without Constraints in Your Structural Analyses

January 7, 2021

When building a solid mechanics model, there may be parts with prescribed loads but no constraints that can be reasonably applied. Learn different approaches and considerations for this scenario.

How to Run COMSOL Multiphysics® from the Command Line

December 9, 2020

Did you know that you can run repeated variations of the same COMSOL Multiphysics® model file from the command line — and automatically export data?

Accelerating Model Convergence with Symbolic Differentiation

October 29, 2020

Whenever you set up and solve a nonlinear problem in COMSOL Multiphysics, a symbolic differentiation engine is automatically used to ensure high robustness and accelerate model convergence.

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