Learn about process automation.
We add a simple parametric aerodynamics model to calculate the aero loads on the wing and couple it with our CalculiX structures model using the preCICE library and python API.
Multidisciplinary analysis with Python, PreCICE and Calculix Crunchix Read More »
This is the third post in the parametric model series. In this post, we will first review and check the results generated by the parametric study, and then move onto the topic of design optimisation using OpenMDAO.
Design optimisation in practice with Python, OpenMDAO and Scipy Read More »
Automate adding composite material properties to our model, running a static analysis in CalculiX CrunchiX (CCX) and reading & plotting the outputs — so that we can actually run a parametric study…
Automated FEM analysis and output processing with Python and CalculiX CrunchiX (ccx) Read More »
In our first blog post we want to demystify the topic of optimisation in engineering.What is it? Why would we want to use it? What are the challenges for practicing engineers today? If you wanted to implement design optimisation, where should you start? What are the mistakes to avoid? Read on for answers to these
On the road to design optimisation Read More »
Welcome to the daptablog! A series on engineering simulation, automation, and collaboration. Boldly going where no engineers have gone before! At Dapta our goal is to help engineers achieve their imagination and build a sustainable world. We’re looking for the tools and methods that enable you to integrate your simulation tools and collaborate with your
3… 2… 1… ignition. Read More »