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A design approach for components in ultralong fatigue life with step loading

  • Andrew Roiko*
  • , Y. Murakami
  • *Corresponding author for this work
    • Aalto University
    • Kyushu University
    • National Institute of Advanced Industrial Science and Technology (AIST)

    Research output: Contribution to journal › Article › Scientific › peer-review

    Abstract

    An overview of critical variables that affect fatigue failure with respect to steel components in ultralong life regimes is presented. The key role of hydrogen trapped by non-metallic inclusions in the ultralong life fatigue failure process is documented. The role of non-metallic inclusions on ultralong fatigue life is shown in the master curve of ODA (Optically Dark Area surrounding a non-metallic inclusion at fracture origin) growth. The master curve of ODA growth shows the correlation of the size of the ODA with the size of the non-metallic inclusion as it corresponds to fatigue life. The ability to predict the presence of non-metallic inclusions in steels with extreme value methods is incorporated with the master curve of ODA growth to determine the maximum threshold stress for ultralong fatigue life using the √area parameter model. Most machine components experience variable loads in service. A design approach is introduced for calculating the effects of different loading levels for ultralong fatigue life.
    Original languageEnglish
    Pages (from-to)140-149
    JournalInternational Journal of Fatigue
    Volume41
    DOIs
    Publication statusPublished - 2012
    MoE publication typeA1 Journal article-refereed
    EventInternational Symposium on Fatigue Design & Material Defects - Trondheim, Norway
    Duration: 23 May 2011 → 25 May 2011

    Funding

    The research has been supported by the research Project FATE-DEFEX in Finland and by the NEDO Fundamental Research Project on Advanced Hydrogen Science (2006–2012) in Japan.

    Keywords

    • Fatigue design
    • high strength steel
    • non-metallic inclusion
    • the area parameter model
    • ultralong fatigue life

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