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The integration of life cycle data in product engineering to reduce environmental impact is currently undervalued. Data spaces allow relevant data to be exchanged along the value creation network. Additive Manufacturing (AM) generates large amounts of data that can be made available for eco-design decisions, such as optimizing environmental footprint or recyclability. A structured list of use cases is not yet compiled. In this paper, use cases are systematically identified and verified by a twofold approach: Firstly, a systematic literature review is conducted identifying existing approaches for the engineering process at the interfaces of the three domains: data spaces, product life cycle data and AM. Secondly, a survey is conducted at the trade fair “Formnext 2024” identifying data-related challenges that AM companies face in sustainable product engineering. Use cases are derived from the literature and verified by the survey’s findings. It can be concluded that singular approaches exist, but only for partial aspects of using data spaces in AM. A structured list of use cases based on literature and considering the challenges disclosed by the survey is compiled. Similar to checklists, engineers can derive requirements from this list for further development and standardization of data space technologies within AM.

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Use Cases for Data Spaces to Support Sustainable Engineering Decisions in Additive Manufacturing

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Iris Graessler,
  • Carmen De Groote,
  • Sven Rarbach

摘要

The integration of life cycle data in product engineering to reduce environmental impact is currently undervalued. Data spaces allow relevant data to be exchanged along the value creation network. Additive Manufacturing (AM) generates large amounts of data that can be made available for eco-design decisions, such as optimizing environmental footprint or recyclability. A structured list of use cases is not yet compiled. In this paper, use cases are systematically identified and verified by a twofold approach: Firstly, a systematic literature review is conducted identifying existing approaches for the engineering process at the interfaces of the three domains: data spaces, product life cycle data and AM. Secondly, a survey is conducted at the trade fair “Formnext 2024” identifying data-related challenges that AM companies face in sustainable product engineering. Use cases are derived from the literature and verified by the survey’s findings. It can be concluded that singular approaches exist, but only for partial aspects of using data spaces in AM. A structured list of use cases based on literature and considering the challenges disclosed by the survey is compiled. Similar to checklists, engineers can derive requirements from this list for further development and standardization of data space technologies within AM.