When it comes to product quality, the smallest details are enormously important. The nebumind software provides process and quality engineers with exactly the information they need to optimize production and component quality.
Data of all process steps bundled for each component for maximum transparency
Cross-process root cause analyses for consistent quality assurance
In-process data analytics for early defect detection and constant optimization of threshold values
Pre-filled report templates with individual customization options
In-process data analysis for immediately visible effects of process adjustments
Set of tools and algorithms to use machine learning on your spatial data
Even a few micrometers of deviation can turn work pieces into rejects.
The following use cases show how you can avoid such deviations with the right information.
at Hufschmied Zerspanungssysteme
Self-learning inline quality control for high-precision milling
at RWTH Aachen University DAP
Powering process understanding and quality control in the AM industry
at MT Aerospace
Using reference twin to monitor machine changes and their impact