Updated on 30 April 2025
Thermal management
About
Topics we propose:
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innovative thermal management
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lightweight structures for battery casing
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business case
Similar opportunities
Expertise
Accelerate Innovation – Market & Technology Validation
- Reverse Manufacturing
- Industry 4.0 technologies
- (AI based) Material and Product Design
- (Advanced) Materials and additive manufacturing
- Life cycle assessment / Product life cycle management
Daniel Führen
Head of New Energy Systems at INC Innovation Center
Aachen, Germany
Expertise
Value retention strategies and business impact
- Data ecosystems
- Manufacturing and machine learning
- Network design of reverse supply chains
- Simulation models and predictive analytics
- Life cycle assessment / Product life cycle management
Andre Podleisek
Professor for Sustainability and Quality in Industry at OST - Eastern Switzerland University of Applied Sciences
Rapperswil, Switzerland
Project cooperation
- Early idea
- Data technologies | Assistance and Expert systems
- Enabling technologies | Network design of reverse supply chains
- 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
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Data technologies | Approaches to support SME fully exploit the value of existing CVC-related data
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
- Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
- Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
- 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 | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
- 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)
Dr. Huseyin KOYMATCIK
R&D Manager at Barkom Group AŞ.
ankara, Türkiye