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General Blog Posts

Add a Full State-Space Feedback Controller to a Control System Model

March 23, 2021

Get a brief overview of full state feedback, learn how to use the State-Space Controller add-in, and get a demonstration of implementing the add-in using a mass-spring-damper system example.

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.

Designing District Heating Networks Using Topology Optimization

February 8, 2021

District heating networks help power plants reach high efficiencies by utilizing cogeneration, which is especially helpful in the winter. How does topology optimization fit in? Keep reading…

How to Convert Point Cloud Data to Surfaces and Solids

January 28, 2021

Sometimes, the only data you have before starting an analysis project is a set of points (also known as a point cloud). Did you know that a point cloud can be converted into a model geometry?

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.

Fractals, Noise, and State Variables

January 5, 2021

Ever notice how the leaves of a fern seem to show a self-repeating pattern? Fractals are objects that exhibit some form of self-similarity at different scales. Learn how to model them here.


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