Simulation model using PyMAPDL for ML/AI-based application - Lesson 2

Private: PyMAPDL to create physics-based datasets for ML/AI applications Simulation model using PyMAPDL for ML/AI-based application - Lesson 2

This Ansys Innovation Course helps users delve into PyMAPDL's role in creating synthetic datasets for ML applications. This lesson explores the role of PyMAPDL in extracting structural deformation data for an application relying on ML/AI algorithms. The course focuses on an example of a Pressure-based Touch Screen, known for precise control and user-friendly interaction, exploring capacitive and resistive pressure sensing, discussing strain gauges and how they measure deformation. Understand with the referred example how strain gauges when coupled with ML algorithms enhance touch accuracy and sensitivity extremely beneficial for industrial applications.