Volume 1, Issue 2 (February 2004)

    Scatter in Fatigue Crack Growth Rate in a Directionally Solidified Nickel-Base Superalloy

    (Received 8 November 2002; accepted 11 August 2003)

    Published Online: 2004

    CODEN: JAIOAD

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    Abstract

    Directional solidification of nickel-base superalloy components for gas turbine rotor blades offers a significant improvement in creep strength while at the same time yielding an anisotropic, heterogeneous microstructure. In such a material, some of the continuum assumptions of linear elastic fracture mechanics begin to break down, and local (microscopic) conditions can lead to significant deviation in fatigue crack growth rate from the global (macroscopic) trend. Fatigue crack life prediction for a large population of fielded components requires a probabilistic treatment of the material fatigue crack growth behavior. A common approach to probabilistic fatigue crack life prediction involves sampling the Paris law coefficients from a large number of crack growth experiments, which can lead to effectively “smoothing” the local intraspecimen variability out of the model. The length scale of variability is discussed as it relates to material microstructure and crack life prediction. Results from fatigue crack growth experiments on a directionally solidified superalloy are presented and spatial variation in the fatigue crack growth rate is examined. Periodicity of the crack growth rate variation is compared with the scale of microstructural heterogeneity.


    Author Information:

    Highsmith, S
    Graduate Research Assistant, School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA

    Johnson, WS
    Professor, School of Materials Science and George P. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA


    Stock #: JAI11565

    ISSN: 1546-962X

    DOI: 10.1520/JAI11565

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    Author
    Title Scatter in Fatigue Crack Growth Rate in a Directionally Solidified Nickel-Base Superalloy
    Symposium Probabilistic Aspects of Life Prediction, 2002-11-06
    Committee E08