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.
Similar opportunities
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
- 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