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General Blog Posts

Comparing Optimization Methods for a Heat Sink Design for 3D Printing

April 18, 2019

When designing a heat sink, is it better to use parametric or topology optimization? When manufacturing said design, does 3D printing produce the best result, or a conventional method?

Comparing 2 Model Files in the COMSOL Multiphysics® Software

April 15, 2019

Why compare 2 model files? You can identify and correct errors in your current model, document and check differences between two versions of a model under development, and more…

Modeling Multi-Ply Materials with Composite Materials Technology

March 26, 2019

In a follow-up to a previous blog post on paper mechanics modeling, Eric Linvill of Lightness by Design compares 3 methods of analysis for multi-ply materials such as paperboard.

Evaluating the Necking of an Elastoplastic Metal Bar Benchmark Model

March 18, 2019

To determine the strength of elastoplastic materials, engineers often use uniaxial testing to analyze necking instability. This benchmark model proves that simulation is also a reliable method.

Veryst Combines Material Testing and Simulation for Reliable Results

March 11, 2019

Simulation helps companies develop the best designs. Understanding material behavior plays a key role in generating accurate simulations. Here’s how Veryst combines testing and FSI simulation.

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.

Using Geometry Parts and Part Libraries in COMSOL Multiphysics®

February 22, 2019

If you’re working with a model that contains complex geometries, you can use geometry parts and the part libraries to streamline and simplify your model setup.

Digital Twins and Model-Based Battery Design

February 20, 2019

By combining high-fidelity multiphysics models with lightweight models and measured data, engineers can create digital twins to understand, predict, optimize, and control real-world systems.