Machine learning for prediction and factor analysis of laser forming parameters
Description
Various machine learning techniques (neural network, support vector machine, etc.) employed to predict bending angle of sheet metal subjected to laser forming processes and to elucidate most pertinent factors via SHAP analysis
Detailed example
most pertinent factors in predicting bending angle
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Various machine learning techniques (neural network, support vector machine, etc.) employed to predict bending angle of sheet metal subjected to laser forming processes and to elucidate most pertinent factors via SHAP analysis
Controls / human review
ATO: No; PIA: Not published
Data needed
materials data