Reconstruction of Single-Grain Orientation Distribution Functions for Crystalline Materials

    Research output: Book/ReportReport

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    Abstract

    A fundamental imaging problem in microstructural analysis of metals is the reconstruction of local crystallographic orientations from X-ray diffraction measurements. This work deals with the computation of the 3D orientation distribution function for individual grains of the material in consideration. We present an iterative large-scale algorithm that uses preconditioned regularizing CGLS iterations with a stopping criterion based on the information available in the residual vectors.
    Original languageEnglish
    PublisherTechincal University of Denmark, Informatics, Building 321
    Publication statusPublished - 2008
    SeriesD T U Compute. Technical Report
    Number2008-05
    ISSN1601-2321

    Cite this

    Hansen, P. C., Sørensen, H. O., Sükösd, Z., & Poulsen, H. F. (2008). Reconstruction of Single-Grain Orientation Distribution Functions for Crystalline Materials. Techincal University of Denmark, Informatics, Building 321. D T U Compute. Technical Report, No. 2008-05
    Hansen, Per Christian ; Sørensen, Henning Osholm ; Sükösd, Zsuzsanna ; Poulsen, Henning Friis. / Reconstruction of Single-Grain Orientation Distribution Functions for Crystalline Materials. Techincal University of Denmark, Informatics, Building 321, 2008. (D T U Compute. Technical Report; No. 2008-05).
    @book{1c03444c58234920b1e3eb61fd107056,
    title = "Reconstruction of Single-Grain Orientation Distribution Functions for Crystalline Materials",
    abstract = "A fundamental imaging problem in microstructural analysis of metals is the reconstruction of local crystallographic orientations from X-ray diffraction measurements. This work deals with the computation of the 3D orientation distribution function for individual grains of the material in consideration. We present an iterative large-scale algorithm that uses preconditioned regularizing CGLS iterations with a stopping criterion based on the information available in the residual vectors.",
    author = "Hansen, {Per Christian} and S{\o}rensen, {Henning Osholm} and Zsuzsanna S{\"u}k{\"o}sd and Poulsen, {Henning Friis}",
    year = "2008",
    language = "English",
    series = "D T U Compute. Technical Report",
    publisher = "Techincal University of Denmark, Informatics, Building 321",
    number = "2008-05",

    }

    Hansen, PC, Sørensen, HO, Sükösd, Z & Poulsen, HF 2008, Reconstruction of Single-Grain Orientation Distribution Functions for Crystalline Materials. D T U Compute. Technical Report, no. 2008-05, Techincal University of Denmark, Informatics, Building 321.

    Reconstruction of Single-Grain Orientation Distribution Functions for Crystalline Materials. / Hansen, Per Christian; Sørensen, Henning Osholm; Sükösd, Zsuzsanna; Poulsen, Henning Friis.

    Techincal University of Denmark, Informatics, Building 321, 2008. (D T U Compute. Technical Report; No. 2008-05).

    Research output: Book/ReportReport

    TY - RPRT

    T1 - Reconstruction of Single-Grain Orientation Distribution Functions for Crystalline Materials

    AU - Hansen, Per Christian

    AU - Sørensen, Henning Osholm

    AU - Sükösd, Zsuzsanna

    AU - Poulsen, Henning Friis

    PY - 2008

    Y1 - 2008

    N2 - A fundamental imaging problem in microstructural analysis of metals is the reconstruction of local crystallographic orientations from X-ray diffraction measurements. This work deals with the computation of the 3D orientation distribution function for individual grains of the material in consideration. We present an iterative large-scale algorithm that uses preconditioned regularizing CGLS iterations with a stopping criterion based on the information available in the residual vectors.

    AB - A fundamental imaging problem in microstructural analysis of metals is the reconstruction of local crystallographic orientations from X-ray diffraction measurements. This work deals with the computation of the 3D orientation distribution function for individual grains of the material in consideration. We present an iterative large-scale algorithm that uses preconditioned regularizing CGLS iterations with a stopping criterion based on the information available in the residual vectors.

    M3 - Report

    T3 - D T U Compute. Technical Report

    BT - Reconstruction of Single-Grain Orientation Distribution Functions for Crystalline Materials

    PB - Techincal University of Denmark, Informatics, Building 321

    ER -

    Hansen PC, Sørensen HO, Sükösd Z, Poulsen HF. Reconstruction of Single-Grain Orientation Distribution Functions for Crystalline Materials. Techincal University of Denmark, Informatics, Building 321, 2008. (D T U Compute. Technical Report; No. 2008-05).