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    Common Data Processing Needs for Materials Databases

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    An international collaborative work known as VAMAS shows that the same set of factual materials data could result in totally different property values when the analysis model and computational method are different. The work is followed by a collection of models and methods for a wide range of materials properties, with the intention to provide a better awareness to the database builders and users.

    Establishment of commonly accepted methods for handling fatigue and creep properties data is under way at the Iron and Steel Institute in Japan. This includes consensus formation among concerned experts for the development of common data processing software to be used in their database systems. Other examples show that the use of these common systems will enhance the further development and use of computerized materials property data.


    materials databases, data analysis models, inventory, creep (materials), fatigue (materials), surface chemical analysis, high-temperature superconductors, common data processing, computers, data systems, computerized material property databases

    Author Information:

    Nishijima, S
    Director, National Research Institute for Metals, Ibaraki,

    Committee/Subcommittee: E49.01

    DOI: 10.1520/STP15401S