Počet záznamů: 1  

Deformation analysis of the spongious sample in simulated physiological conditions based on in-situ\ncompression, 4D computed tomography and fast readout detector

  1. 1.
    0497305 - UTAM-F 2019 RIV GB eng J - Článek v odborném periodiku
    Fíla, Tomáš - Šleichrt, Jan - Kytýř, Daniel - Kumpová, Ivana - Vopálenský, Michal - Zlámal, Petr - Rada, Václav - Vavřík, Daniel - Koudelka_ml., Petr - Senck, S.
    Deformation analysis of the spongious sample in simulated physiological conditions based on in-situ
    compression, 4D computed tomography and fast readout detector.
    Journal of Instrumentation. Roč. 13, November (2018), č. článku C11021. ISSN 1748-0221.
    [International Workshop on Radiation Imaging Detectors /20./. Sundsvall, 24.06.2018-28.06.2018]
    Grant CEP: GA MŠk(CZ) EF16_019/0000766
    GRANT EU: European Commission(XE) ATCZ38 - Com3d-XCT
    Klíčová slova: computerized tomography (CT) * computed radiography (CR) * detection of defects * inspection with x-rays
    Kód oboru RIV: JJ - Ostatní materiály
    Obor OECD: Applied mechanics
    Impakt faktor: 1.258, rok: 2017
    https://doi.org/10.1088/1748-0221/13/11/C11021

    In this work, an in-house designed table top loading device equipped with a bioreactor is used for the in-situ compression of a spongious sample in simulated physiological conditions. On-the-fly 4D computed tomography is used as a tool for the advanced volumetric analysis of the deforming microstructure of the specimen. The loading device with the bioreactor was placed directly onto the rotational stage of a modular X-ray scanner. As the loading device is equipped with a slip-ring cable system, it can perform an unlimited number of revolutions during the on-the-fly scanning procedure. A complementary metal-oxide-semiconductor flat panel detector with a fast readout was used for the acquisition of the X-ray images. The specimen was compressed with a low loading velocity. A set of the volumetric data capturing the deformation of the specimen during the experiment was prepared from the images acquired by the detector. A digital volume correlation algorithm was used for the evaluation of the volumetric strain fields in the specimen.
    Trvalý link: http://hdl.handle.net/11104/0289857