Collaborative R&D Project 2019

Potentials of Data Analytics for Blisk Series Production#

© Fraunhofer IPT

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.