Most read

Data-based monitoring of cooling lubricants links process chemistry and machine data to stabilise grinding quality, reduce energy consumption and enable more efficient, sustainable production. (Source: free licensed)
Data-based monitoring of cooling lubricant

Ensuring the right chemistry during grinding

Newsletter

Don't Miss out on Our Best Content

By clicking on „Subscribe to Newsletter“ I agree to the processing and use of my data according to the consent form (please expand for details) and accept the Terms of Use. For more information, please see our Privacy Policy. The consent declaration relates, among other things, to the sending of editorial newsletters by email and to data matching for marketing purposes with selected advertising partners (e.g., LinkedIn, Google, Meta)

Unfold for details of your consent

Additive Manufacturing

Conceptual diagram showing AI-based analysis and prediction of how powder characteristics and process conditions affect defects and component performance in metal 3D printing processes.
 (Source: Korea Institute of Materials Science (Kims))
Quality control in AM

AI enables defect-aware prediction of metal 3D-printed part quality

Machining Equipment