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Project cooperationUpdated on 7 April 2025

Expertise in Additive Manufacturing & Advanced Materials for Lightweighting Technologies

Nazim Babacan

Associated Professor at Sivas University of Science and Technology

Sivas, Türkiye

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

    Impact Measurement of circular value creation

    • Early idea

    Amyn Vogel

    Researcher at LMU München - Professorship of Innovation, Entrepreneurship and Sustainability

    Berlin, Germany

  • 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