Collaborative R&D Project 2019

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.

Objective

  • 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.