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

Research unit

INNOSUISSE

Project number

104.774 IP-ENG

Project title

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

Texts for this project

	German	French	Italian	English
Key words	-	-	-
Abstract	-	-	-

Category	Text
Key words (English)	Engineering, Advanced manufacturing
Abstract (English)	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.