See how businesses like yours work with the nebumind software to enhance product quality, save time and money, and drive productivity.
Powering process understanding and quality control in the AM industry
The RWTH Aachen University Chair Digital Additive Production DAP examines process parameters, their complex interaction and its influences on the additive manufacturing process. So far, test results were analysed manually taking considerable time. With the nebumind software, DAP is now able to gather information much more efficiently and build process understanding much faster.
Self-learning in-line quality control for high-precision milling
The SonicShark® system from Hufschmied Zerspanungssysteme GmbH is used for inline quality control and process monitoring during milling processes. In cooperation with nebumind an extension of the system was implemented to enable a fully automated, self-learning monitoring.
Using reference twin to monitor machine changes and their impact
Machine updates and other modifications are necessary procedures in manufacturing. Though they always bear the risk of unpredictable effects on the manufacturing process, at worst resulting in component defects and machine or tooling damages. To avoid such risk, nebumind developed an application to predict such impacts. MT Aerospace is the first pilot customer to test the new application.