EV battery production - APTIV

Summary

This use case will develop vision in VIS and IR range for monitoring the laser welding process. In the VIS range, high-speed images of the molten pool can be acquired, and phenomena and geometrical features of the melt pool, keyhole, spatters and plasma plume distribution can be effectively monitored.

In the IR range, it is possible to evaluate the thermal profile of the weld, which is crucial to assess its quality. The vision systems will embody AI-based algorithms for defect detection and process characterization, which running on an edge device, equipped with a powerful GPU.

More information & hyperlinks
Web resources: https://www.openzdm.eu/pilots/aptiv/
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
MiE_25-27_RP03: Recovering and preserving the European leadership in strategic and high value added products
C MANUFACTURING
C27 Manufacture of electrical equipment
C27.2 Manufacture of batteries and accumulators
C27.20 Manufacture of batteries and accumulators
Open Platform for Realising Zero Defects in Cyber-Physical Manufacturing
Search
Search on Google
Search on Bing
Search on DuckDuckGo
Contacts
Not specified (see website if available) or see associated project
Associated projects
Organisations
  • Not specified
Powered by Chris Decubber BV