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Neutronographic Residual Stress Analysis for Materials With Depth Gradients of the Strain Free Lattice Parameter d.sub.0./sub. for the Example of a Case-Hardened Steel .sub.20./sub.MnCr.sub.5./sub.

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    0574105 - ÚJF 2024 RIV US eng J - Journal Article
    Pulvermacher, S. - Šaroun, Jan - Cabeza, S. - Pirling, T. - Kornmeier, J. R. - Epp, J. - Hofmann, M. - Gibmeier, J.
    Neutronographic Residual Stress Analysis for Materials With Depth Gradients of the Strain Free Lattice Parameter d0 for the Example of a Case-Hardened Steel 20MnCr5.
    Metallurgical and Materials Transactions A. Roč. 54, č. 9 (2023), s. 3448-3460. ISSN 1073-5623. E-ISSN 1543-1940
    Institutional support: RVO:61389005
    Keywords : hardness distribution * three-dimensional residual stress * X-ray diffraction
    OECD category: Condensed matter physics (including formerly solid state physics, supercond.)
    Impact factor: 2.8, year: 2022
    Method of publishing: Open access
    https://doi.org/10.1007/s11661-023-07076-y

    In the present work, ring-shaped samples made from steel 20MnCr5 were low-pressure carburized (LPC) and subsequently hardened by gas quenching (case-hardened). This results in a near-surface gradient in chemical composition, microstructure-and hardness distribution, as well as a three-dimensional residual stress (RS) distribution, which was investigated by neutron diffraction. Near-surface RSs in the ferrite-/martensite-and austenite phase are additionally determined by X-ray diffraction. It is shown that the chemical gradient has an influence on the chosen d(0) strategy and how such a reference sample should be extracted. If near-surface RS values are to be determined by neutron diffraction, the pseudo-strain effect must be taken into account. For this purpose, a suitable approach using the 'open source'software SIMRES and STRESSFIT is also presented. By combining neutron and X-ray diffraction data, a complete RS distribution over the whole sample can be obtained.
    Permanent Link: https://hdl.handle.net/11104/0344529


    Research data: Institut Laue-Langevin
     
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