As part of the European EUREKA funding programme and with additional support from the BMBF, Chemnitzer Werkstoffmechanik GmbH (CWM) was able to make key contributions to the further development of automated thermo-mechanical analysis methods for electronic systems within the TRUST-E project. The aim was to increase the reliability and safety of modern sensor systems through the use of artificial intelligence (AI) and innovative evaluation methods.

A key focus of the work was the automation of Digital Image Correlation (DIC).

Here, CWM investigated and tested AI-based methods whilst simultaneously developing new algorithmic approaches to optimize the evaluation process of a DIC analysis and to reduce user-dependent influences.

The newly developed “Magic Shape Tool” proved particularly successful, enabling the rapid and semi-automated marking of relevant image areas and significantly reducing the effort required for analysis.

In addition, CWM carried out extensive thermo-mechanical investigations on real demonstrators, including a 6D inertial sensor and a LiDAR sensor. Using its own measurement systems, the company was able to gain detailed insights into deformation behavior, material properties and potential weak points.

The methods developed in the project enable a significant increase in efficiency, greater measurement accuracy and improved comparability of results. In this way, we are making an important contribution to quality assurance and the further development of electronic systems in industry and research.