Learn about process automation with python.
We add a dynamic aeroelastic stability analysis to our parametric wing analysis, so that we can calculate critical flutter and divergence flight velocities. We extract mass and stiffness information from our CalculiX model and then solve a complex eigenvalue problem with the help of the Scipy sparse matrix library.
Dynamic aeroelastic flutter and divergence analysis with Python and Calculix Read More »
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 this post, we will see how easy it is to use Python and open-source software to automate the creation of parametric FEM models for design studies.
Parametric FEM model creation with Python and CalculiX GraphiX (cgx) Read More »
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