Potentials of Data Analytics for Blisk Series Production
Do acquisition and analysis of process data in series production enable improvement of product quality and process stability?
Challenge and Motivation
- Many influencing factors and their interactions determine product quality and process stability.
- Nowadays, causes and effects can only rarely be identified in the case of production problems and rejects.
- Applying data analytics offers the possibility to identify correlations that were previously unknown.
- Identification of cause-effect relationships of process control and state variables as well as product quality in series production by applying model based data analytics and Machine Learning (ML)-algorithms.