Model-supported identification of stability model input parameters and model correction through machine learning

• Unité de recherche: INNOSUISSE
• Numéro de projet: 32334.1 IP-ICT
• Titre du projet anglais: Model-supported identification of stability model input parameters and model correction through machine learning

Description succincte (Allemand)

Model-supported identification of stability model input parameters and model correction through machine learning

Description succincte (Anglais)

Model-supported identification of stability model input parameters and model correction through machine learning

Résumé des résultats (Abstract) (Allemand)

Many models in engineering applications yield insufficiently accurate predictions due to erroneous input assumptions and modeling strategies. It will be elaborated in how far machine learning techniques can help to refine those modeling strategies with the example of chatter vibrations in milling.