REVEAL Project: AI/ML for Silicone Injection Molding Quality and Process Optimization
Vision-based quality inspection and holistic process optimization using AI/ML for silicone injection molding production.
Project Overview
The REVEAL research project aims to optimize elastomer injection molding for silicone seals through cutting-edge AI, ensuring comprehensive quality control. The project focuses on:
- Using AI to improve elastomer injection molding for silicone seals.
- Optimizing production processes and enhancing quality control.
- Digitizing all relevant process parameters.
AI Technologies
- Advanced AI models detect and classify defects in real time.
- Vision AI provides image-based inline quality control across different products.
- Process AI enables tight control through live data processing.
- Multimodal AI combines process and image data to detect complex patterns/defects.
Benefits and Goals
- Significant cost reduction through decreased defective parts, yielding material savings and reduced carbon emissions.
- Minimized downtime through accelerated error analysis.
- Enhanced knowledge transfer to the next-generation workforce.
Project Details
- Partners: 4
- Total Budget: 3 Million €
- Total Grant: 2 Million €
- Funding Rate Aptiv: 0.5 Million € (40% of Total Costs)
- Duration: 3 years
- Project Dates: 01 May 2025 – 30 April 2028
Project Participants
Universities:
- Bergische Universität Wuppertal
Industrial Organisations:
- Aptiv Services Deutschland GmbH (AS&UX AI Factory Core & CS Silicone Production Plant)
- SHS plus GmbH
- aiXbrain GmbH
Funding Information
This R&D project is funded by state resources from the Ministry of Economy, Industry, Climate Protection and Energy of North-Rhine Westphalia on the basis of §§23 and 44LHO and the European Commission.
The project was co-financed by the European Union through the European Regional Development Fund (ERDF) in North Rhine-Westphalia. [Link to ERDF NRW: www.efre.nrw]
The Team
The REVEAL consortium was welcomed at the kick-off event. The team comprises experts from the participating universities and industrial organizations.