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Equation-Based Modeling Blog Posts

Optimizing PID Controller Performance with COMSOL Multiphysics®

June 11, 2019

PID controllers involve three components that must work together simultaneously, and it can be challenging to get each of them just right. That’s where process control simulation comes in.

Introduction to Numerical Integration and Gauss Points

May 1, 2019

In this comprehensive blog post, we go over the theory behind numerical integration, Gaussian quadrature, Gauss points, weak contributions, and much more.

Simulation Applications Enable Digitalization at ABB Traction Motors

February 26, 2019

Here’s a real-world example of optimizing R&D processes with COMSOL Server™: At ABB Traction Motors, engineers use simulation applications to analyze CFD and heat in electric motor designs.

3 Approaches to Modeling Moving Loads and Constraints in COMSOL®

October 22, 2018

Learn 3 ways to model moving loads and constraints in COMSOL Multiphysics®: using variables, interpolation functions, and paths imported from CAD geometries.

Nonstandard Constraints and the Power of Weak Contributions

October 16, 2018

For a flexible and physics-independent way to extend the applicability of the COMSOL Multiphysics® software, you can implement nonstandard constraints using the so-called weak contributions.

How to Implement the Weak Form for Time-Dependent Equations

September 27, 2018

Here’s a comprehensive equation-based modeling guide on how to implement the weak form for time-dependent equations, including theoretical background and step-by-step instructions.

Image Denoising and Other Multidimensional Variational Problems

September 21, 2018

Learn how to solve variational problems featuring multiple dimensions, higher-order derivatives, and multiple unknowns with a fun example: image denoising in a grainy photograph.

Methods for Enforcing Inequality Constraints

September 17, 2018

Learn 2 methods for enforcing inequality constraints in your variational problems, the Lagrange Multiplier method and Augmented Lagrangian method, as well as the theory behind them.


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