Cloud-based fleet learning for thermal-error-compensation of grinding machines

• Unité de recherche: INNOSUISSE
• Numéro de projet: 104.774 IP-ENG
• Titre du projet anglais: Cloud-based fleet learning for thermal-error-compensation of grinding machines

Mots-clé (Anglais)

Engineering, Advanced manufacturing

Résumé des résultats (Abstract) (Anglais)

Thermal compensation of precision tool grinding machines offers the potential to increase the accuracy of the produced parts during warm-up and in unstable environmental conditions. Fleet learning offers an economical solution to generate robust compensation models for a family of machine types.