X-ray computed tomography of ultralightweight metals

被引:0
|
作者
Winter, JM [1 ]
Green, RE
Waters, AM
Green, WH
机构
[1] Johns Hopkins Univ, Ctr Nondestruct Evaluat, Baltimore, MD 21218 USA
[2] Johns Hopkins Univ, Dept Mat Sci & Engn, Baltimore, MD 21218 USA
[3] USA, Rodman Mat Res Lab, Aberdeen Proving Ground, MD 21005 USA
关键词
D O I
暂无
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
In recent years several universities, government laboratories, and private industries have been developing specific process technologies, analytical modeling tools, and characterization methods for highly porous metals and alloys frequently collectively termed "ultralightweight metals." The goal has been to achieve a family of metallic structures that are analogs to the organic cellular materials that exhibit high stiffness and a low specific weight. A number of different and distinct processes have evolved and are still largely not yet mature. To date, the imaging capabilities of X-ray computed tomography have not been generally employed to nondestructively examine the internal structure of the products formed by these various processes. This article briefly reviews the principles and terminology of X-ray computed tomography as it has evolved through successive generations and then presents several types of computed tomographic images of ultralightweight metallic specimens produced by different process technologies. The images for each specimen are preceded by a brief description of the process technology that created it.
引用
收藏
页码:199 / 211
页数:13
相关论文
共 50 条
  • [21] STATISTICAL ASPECTS OF COMPUTED X-RAY TOMOGRAPHY
    CHESLER, DA
    PELC, NJ
    RIEDERER, SJ
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 1977, 22 (01): : 130 - 131
  • [22] Image Analysis in X-ray Computed Tomography
    Seletchi, Emilia Dana
    Sutac, Victor
    [J]. PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON VIRTUAL LEARNING: VIRTUAL LEARNING - VIRTUAL REALITY: MODELS & METHODOLOGIES, TECHNOLOGIES, SOFTWARE SOLUTIONS, 2006, : 187 - +
  • [23] Ptychographic X-ray computed tomography at the nanoscale
    Dierolf, Martin
    Menzel, Andreas
    Thibault, Pierre
    Schneider, Philipp
    Kewish, Cameron M.
    Wepf, Roger
    Bunk, Oliver
    Pfeiffer, Franz
    [J]. NATURE, 2010, 467 (7314) : 436 - U82
  • [24] X-ray Digital Radiography and Computed Tomography
    Morigi, Maria Pia
    Albertin, Fauzia
    [J]. JOURNAL OF IMAGING, 2022, 8 (05)
  • [25] X-Ray Luminescence Computed Tomography Via Selective X-Ray Excitation
    Pratx, G.
    Carpenter, C.
    Sun, C.
    Xing, L.
    [J]. MEDICAL PHYSICS, 2010, 37 (06)
  • [26] Interlaced X-ray diffraction computed tomography
    Vamvakeros, Antonios
    Jacques, Simon D. M.
    Di Michiel, Marco
    Senecal, Pierre
    Middelkoop, Vesna
    Cernik, Robert J.
    Beale, Andrew M.
    [J]. JOURNAL OF APPLIED CRYSTALLOGRAPHY, 2016, 49 : 485 - 496
  • [27] Accelerating X-ray Fluorescence Computed Tomography
    La Riviere, P. J.
    Vargas, P.
    Fu, G.
    Meng, L. J.
    [J]. 2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 1000 - +
  • [28] X-ray computed tomography application research
    Neel, ST
    Yancey, RN
    [J]. REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 15A AND 15B, 1996, 15 : 497 - 502
  • [29] X-ray induced acoustic computed tomography
    Samant, P.
    Trevisi, L.
    Ji, X.
    Xiang, L.
    [J]. PHOTOACOUSTICS, 2020, 19 (19)
  • [30] X-Ray Computed Tomography Through Scatter
    Geva, Adam
    Schechner, Yoav Y.
    Chernyak, Yonatan
    Gupta, Rajiv
    [J]. COMPUTER VISION - ECCV 2018, PT XIV, 2018, 11218 : 37 - 54