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

Forschungsstelle

INNOSUISSE

Projektnummer

104.774 IP-ENG

Projekttitel

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

Projekttitel Englisch

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

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Schlüsselwörter	-	-	-
Abstract	-	-	-

Kategorie	Text
Schlüsselwörter (Englisch)	Engineering, Advanced manufacturing
Abstract (Englisch)	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.