Achieving zero defect manufacturing through state of the art inspection methods and artificial intelligence - VDLWEW

Summary

The use of digital solutions as well as non-destructive inspection methods for reducing defects are envisioned within the existing production process. The use of an x-ray scanner, various laser triangulation measurements, thermographic imaging, vision camera inspection and 3D scanning are part of the project. The creation of a digital twin model is targeted for modelling the key steps that may determine or impact the key defects of the trailing arm production process. A number of sensors is to be included in several steps which along with machine parameters and existing in-line measurements will deliver the digital input to the digital twin model. The digital twin model will include one or more intelligent mechanisms to analyze the incoming data and determining the ideal configuration of machine parameters for ensuring the proper quality of the resulting products. Thus, the introduction of several inspection systems in combination with the envisioned digital twin model will enable the dynamic control of the process parameters of several machines based on the inspection data.

More information & hyperlinks
Structured mapping
Unfold all
/
Fold all
Demonstrator (project outcome type)
Industrial pilot or use case
MiE KPI section - Impacts
Demonstrator showcasing digital platforms and engineering tools supporting creativity and productivity of R&D processes
MiE KPI section - Outcomes
Reduced scrap rate through zero defect and zero downtime manufacturing - demonstrator showcases reduction by 20%
Reduction of time needed for defect identification & finishing showcased by demonstrator (in % reduction)
Demonstrator showcasing artificial intelligence (AI) and data analytics tools’ uptake
C MANUFACTURING
C29 Manufacture of motor vehicles, trailers and semi-trailers
C29.3 Manufacture of motor vehicle parts and accessories
C29.32 Manufacture of other parts and accessories for motor vehicles