Simulation is becoming a standard in many engineering fields where multiple software packages are used during design and analysis.
With this in mind, Flownex is developed with an extensive API, accessible through .NET commands, to provide the user with the flexibility to connect with other codes. Python provides an ideal environment for interfacing simulation codes and for general automation coding.
This is particularly useful in flow systems with many flow paths and detailed geometry, such as the cooling channels in a gas turbine blade which require many components with 100s of inputs to model completely. This can be very time consuming and is often highly prone to user error. Python can be used to automate the construction of these large networks by adding components through the API and specifying the inputs from a data file.
This data file could be derived from CAD geometry or specified directly by the user to provide a faster way to define new geometries or layouts for your simulations. Additionally, it is possible to use the API to automate the solution and exporting of results from Flownex which can be very useful in optimisation cases and for co-simulation with other software packages.
In this webinar, we will discuss these features in detail and show a practical example of how this can be done in Flownex.