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ExpertiseUpdated on 4 April 2025

Expert in Additive Manufacturing & Shape Memory Alloys for Circular Value Creation

Nazim Babacan

Associated Professor at Sivas University of Science and Technology

Sivas, Türkiye

About

As an expert in additive manufacturing (AM) and shape memory alloys (SMAs), our research group AMASMA brings specialized knowledge in the development of innovative materials and manufacturing processes for circular value creation. Our work focuses on sustainable product design, material efficiency, and the integration of advanced manufacturing technologies to support longer product lifecycles, reuse, and recycling. Through AM, we contribute to minimizing waste and enhancing the flexibility and adaptability of manufacturing processes, making them more compatible with circular economy principles.

Organisation

Similar opportunities

  • Project cooperation

    Expertise in Additive Manufacturing & Advanced Materials for Lightweighting Technologies

    Nazim Babacan

    Associated Professor at Sivas University of Science and Technology

    Sivas, Türkiye

  • Project cooperation

    Digital Product Passport for Circular Economy

    • Already defined
    • Expertise offered
    • Consortium seeks Partners
    • Data technologies | Assistance and Expert systems
    • Data technologies | Design of an adaptable Digital Product Pass:
    • Enabling technologies | (Advanced) Materials and additive manufacturing
    • Data technologies | (AI based) Material and Product Design, Decomposition and Separation
    • 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 | 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)

    Ralph Weissnegger

    Director Innovation & Funding at CISC Semiconductor GmbH

    Klagenfurt, Austria

  • Expertise

    Adaptive Robotics for (Dis-)Assembly

    • Reverse Manufacturing
    • Industry 4.0 technologies
    • Manufacturing and machine learning
    • Robotic / handling - and assistance systems

    Ron Martin

    Group Manager Adaptive Robotics at Fraunhofer IIS, Division Engineering of Adaptive Systems

    Dresden, Germany