Why Should We Share Material Data? The Positive Impact of Public/Private Databases Access Through Digital Twins Along the Product Value Chain

In this work a concept study will be presented which analyses the possibilities of using digital material data platforms in an industrial context. The concept includes the implementation of a variety of digital twins for the description of all stages in the life cycle of a material, that is, development and processing, product development and manufacture, product use, ageing during use and finally recovery of recyclables for reuse in raw materials. The industrial context is given by a use case of microelectronics potting for the protection of microelectronic systems, providing relevance through a high-volume production and thus high impact on sustainability considerations. The focus of the study will be the benefits generated along the value chain by (1) a common ontology and (2) the importance of defined interfaces between material data platform and the data-sources contributing to the dynamic data set as well as the (3) data-receivers which are making use of the data. This data is collected, labeled and stored by the respective owner and can be shared with partners along the product value chain to generate added value. Besides direct data exchange between data sources & users along the value chain, also the integration of public infrastructure (Material Digital / Gaia-X / Catena-X) Error Reference source not found. [1] [2] is discussed, facilitating especially the use case related agglomeration of data and the development of future business models. This will ease generation of the future European Product Pass and will establish communication between parties not connected yet (material formulator & material recycler to make recycling more efficient; product manufacturer & product user & repair/maintenance units to determine remaining lifetime of the product & efficient repair strategies). The benefits of sharing material information for specific data user and the generated impact is ecologically measured through a life-cycle assessment (LCA). In total, this paper will present an outlook to the potential of data mining & labeling during the full life cycle of a typical electronics manufacturing material considering a cradle to cradle approach.