Project cooperationUpdated on 19 June 2025
Expertise in Additive Manufacturing & Advanced Materials for Lightweighting Technologies
About
Our research grup, AMASMA, specializes in additive manufacturing and shape memory alloys (SMAs), focusing on innovative lightweighting solutions. My work in material optimization, advanced manufacturing processes, and smart design plays a critical role in reducing weight while maintaining or enhancing product performance. By integrating digital solutions such as simulations and virtual models (digital twins), we aim to contribute to resource efficiency, sustainability, and enhanced performance in lightweight technologies, particularly in mobility and manufacturing applications.
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Expertise
Expert in Additive Manufacturing & Shape Memory Alloys for Circular Value Creation
Nazim Babacan
Associated Professor at Sivas University of Science and Technology
Sivas, Türkiye
Project cooperation
Hydrogen drone for logistics scenarios and application
Christoph Wenge
research at Fraunhofer Institute for Factory Operation and Automation IFF
Magdeburg, Germany
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