Data Assessment Method to Support the Development of Creep-Resistant Alloys

Wenzlick, Madison; Bauer, Jennifer R.; Rose, Kelly; Hawk, Jeffrey; Devanathan, Ram

doi:10.1007/s40192-020-00167-3

Title: Data Assessment Method to Support the Development of Creep-Resistant Alloys

Journal Article · 16 January 2020 · Integrating Materials and Manufacturing Innovation

DOI: https://doi.org/10.1007/s40192-020-00167-3 · OSTI ID:1717888

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National Energy Technology Lab. (NETL), Albany, OR (United States). Research and Innovation Center; Oak Ridge Inst. for Science and Education (ORISE), Oak Ridge, TN (United States)
National Energy Technology Lab. (NETL), Albany, OR (United States). Research and Innovation Center
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

This work introduces a methodology for assessment of data quality for creep properties of alloys. Data quality assessment is needed to ensure the reliability of data used in analytics to develop new materials and to predict the performance of established materials in new applications. As data quality metrics have not been standardized for material properties data, quality rating guidelines are developed here for the aspects of data completeness, precision, accessibility, and authority of source. The specific design requirements for creep-resistant alloy development were considered in creating each metric. Establishing the quality of a dataset in these areas will enable robust analysis. High quality data can be set aside to develop predictive models. Low quality data need not be discarded but can be used for verification and comparison of models. Determining the quality of a materials dataset will also provide additional metadata with the data resource and will promote data reusability. Furthermore, a sample high quality dataset is presented to highlight the areas where data gaps exist.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE Office of Fossil Energy (FE)

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1717888

Report Number(s):: PNNL-SA--148614

Journal Information:: Integrating Materials and Manufacturing Innovation, Journal Name: Integrating Materials and Manufacturing Innovation Journal Issue: 1 Vol. 9; ISSN 2193-9764

Publisher:: SpringerCopyright Statement

Country of Publication:: United States

Language:: English

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36 MATERIALS SCIENCE
data quality assessment
alloy design
mechanical properties
data reusability

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