Project cooperationUpdated on 29 April 2025
LIB battery manufacture for formation equipment, GaN Power Semiconductor
About
Gloabl supplier for formation euqipment manufacturer for LIB giga factory customers in all spotted L.America, Asia and Europe where has been working more than 15 Giga factory PJT's with LGES, Smasung SDI, SK ON and Europe battery manufacturer.
Own developed technology Gan Power semiconductor manufactuer and cooperation with Foundry company and Module global customers.
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Similar opportunities
Expertise
Laserinduced Breakdown Spectroscopy (LIBS) for Battery Recycling and Blackmass Characterization
Hans-Gerd Löhmannsröben
Senior Scientist and PI at Potsdam University, innoFSPEC Transfer Laboratory
Potsdam/Brandenburg, Germany
Project cooperation
Seeking Consortium Opportunities for International Collaboration
Seyma Gozuyilmaz
Innovation Project Manager at Experilabs
İstanbul, Kartal, Türkiye
Project cooperation
Automotive Supplier Looking To Demonstrate Novel Solutions
- Early idea
- Expertise offered
- Consortium seeks Partners
- Data technologies | Assistance and Expert systems
- Data technologies | Design of an adaptable Digital Product Pass:
- Enabling technologies | Robotic / handling - and assistance systems
- Data technologies | (AI based) process and system control technologies
- Enabling technologies | (Advanced) Materials and additive manufacturing
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
- Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
- Enabling technologies | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)
- Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
- Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
- Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
- Data technologies | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
- Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)
Öykü Akbulut
R&D Engineer at Ermetal Automotive
Bursa, Türkiye