Inline CT for production monitoring

Speaker:
Kretzer, Christian; Fraunhofer EZRT; Germany

Authors:
Kretzer, C.; Fraunhofer Institute for Integrated Circuits IIS; Germany
Oeckl, S.; Fraunhofer Institute for Integrated Circuits IIS; Germany
Stocker, T.; Fraunhofer Institute for Integrated Circuits IIS; Germany

ID: ECNDT-0167-2018
Session: CT-Methods 2
Room: G3
Date: 2018-06-12
Time: 14:10 - 14:30

Due to new modern X-ray components and faster computers, a lot of applications in the field of non-destructive testing can be realized with inline computed tomography systems (Inline CT) with cycle times which are fast enough to keep pace with the production processes. So it is possible to realize a 100% inspection of parts directly in the production.

This enables to gather far more information about the inspected specimen than conventional 2D radioscopic systems can achieve. So it is possible not only to decide if the inspected part is a good or a reject part, but also to use this further information to get deep insights into the production process and use this information to improve the production to reduce rejects. This saves resources and increases the competitiveness. In addition to ordinary non-destructive testing, these systems also provide the benefit of monitoring the process.

The vision behind these developments is to realize a “production without rejects”. For this not only critical defects are detected but also smaller anomalities are monitored and analysed to identify trends of processes. This information is used to take action before a rejected part is produced.

This talk presents the newest developments of the Fraunhofer EZRT concerning our vision of a “production without rejects”. New technologies for Inline CT systems are presented with a feedback loop of results to the production process, new technologies to speed up measurements with improved reconstruction algorithms, different machine concepts for flexible and highly integrated Inline CT systems and different ways to improve the image quality for measurements with reduced scan times. We also present a technology to improve the image quality on large aluminum castings with high penetration lengths.