STP1360

    Method for Predicting J-R Curves from Charpy Impact Energy

    Published: Jan 2000


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    Abstract

    In this paper a mechanistic rationale for the fracture process is applied to the CVN impact test so that the J-R curve fracture toughness could be estimated for materials that have only a CVN energy value as the fracture toughness characterization. The method assumes that the fit to the J-R curve can be given a standard form by assuming that the product of J and the tearing modulus, T, is a constant. Given this standard fitting form, the CVN energy is used to estimate a point on the J-R curve. Using this single point and the constant J × T product, the J-R curve is estimated with the two-parameter power law fit specified in ASTM standards. The procedure is applied to metals that undergo purely ductile fracture, that is, those that have CVN energy that would be characterized as “upper shelf” or 100% shear.

    The method requires a calibration between impact energy, which has energy contributions from factors other than the fracture process, and the J-R curve point used in the fit. It is calibrated using three steel alloys where both CVN energy on the upper shelf and J-R curve fracture toughness data exist. The results show that a consistent calibration factor can be assumed that applies to all of the steels. Using that factor and the standard J-R curve fit, the prediction was good for all the steels examined. From these J-R curves, the initiation toughness value JIC can also be determined using the JIC construction from ASTM Standard Method E 1820. The resulting determination of JIC shows why the simple process of fitting data sets does not give a universal prediction of toughness. The material tensile strength plays a role in the determination of JIC.

    Keywords:

    J-R, curve, impact test, steel, Charpy


    Author Information:

    Gioielli, PC
    Ph.D. candidate and professor, Mechanical and Aerospace Engineering and Engineering Science, University of Tennessee, Knoxville, TN

    Landes, JD
    Ph.D. candidate and professor, Mechanical and Aerospace Engineering and Engineering Science, University of Tennessee, Knoxville, TN

    Paris, PC
    Mechanical Engineering, Washington University,

    Tada, H
    Mechanical Engineering, Washington University,

    Loushin, L
    ARCO Chemical Company, Newton Square, PA


    Paper ID: STP13395S

    Committee/Subcommittee: E08.04

    DOI: 10.1520/STP13395S


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