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005 20231030041600.0
035 _a(RuTPU)RU\TPU\network\26605
035 _aRU\TPU\network\26604
090 _a658648
100 _a20181029a2018 k y0engy50 ba
101 0 _aeng
105 _ay z 100zy
135 _adrgn ---uucaa
181 0 _ai
182 0 _ab
200 1 _aSimulation of Translational Data Acquisition Scheme of X-Ray Computed Tomography for Application in NDT
_fB. K. Afornu, Odii Christopher Joseph, A. H. Ozdiev, D. A. Sednev
203 _aText
_celectronic
300 _aTitle screen
330 _aThe invention of computed tomography some few decades ago, coupled with its applications in the field of non-destructive testing for industrial objects inspection has revolutionized the way inspections were formerly done. Despite the conventional data acquisition scheme which is integrated with a rotational stage in between the source and the detector works perfectly for small and lighter objects, hence, it seems impossible to investigate complicated, bulky objects with interconnected unbalanced composites. Moreover, it will be very expensive to harnessed technologies into the rotational stage which can be incorporated into this conventional technique with an optimum degree of accuracy. Therefore, this paper will consider the translational data acquisition scheme which is proven mathematically as an alternative method to the conventional technique [1]. This translational scheme takes into account the variations and the magnification of both the source x-ray and the detector around the object and then proceeded by scans from different focal distances. Python packages with necessary plugins were used in implementing the reconstructive algorithm generated in simulating and modelling a suitable image of inspected object.
333 _aРежим доступа: по договору с организацией-держателем ресурса
461 0 _0(RuTPU)RU\TPU\network\11477
_tKey Engineering Materials
_oScientific Journal
463 0 _0(RuTPU)RU\TPU\network\26539
_tVol. 769 : High Technology: Research and Applications (HTRA 2017)
_oThe VI International Science and Engineering Conference, November 27-29, 2017, Tomsk, Russia
_o[proceedings]
_fNational Research Tomsk Polytechnic University (TPU) ; eds. G. E. Osokin ; E. A. Kulinich
_v[256-261]
_d2018
610 1 _aэлектронный ресурс
610 1 _aтруды учёных ТПУ
610 1 _aNon-Destructive Testing (NDT)
610 1 _aReconstruction Algorithms
610 1 _aSimulation
610 1 _aTranslational Data Acquisition Scheme
610 1 _aX-Ray Tomography
610 1 _aнеразрушающий контроль
610 1 _aалгоритмы восстановления
610 1 _aмоделирование
610 1 _aрентгеновская томография
610 1 _aданные
701 1 _aAfornu
_bB. K.
_cSpecialist in the field of nuclear technologies
_cEngineer of Tomsk Polytechnic University
_f1989-
_gBright Kwame
_2stltpush
_3(RuTPU)RU\TPU\pers\46933
701 0 _aOdii Christopher Joseph
701 1 _aOzdiev
_bA. H.
_cphysicist
_cdesign engineer at Tomsk Polytechnic University
_f1990-
_gAli Hosenovich
_2stltpush
_3(RuTPU)RU\TPU\pers\37253
701 1 _aSednev
_bD. A.
_cspecialist in the field of non-destructive testing
_cassistant of Tomsk Polytechnic University, Associate Scientist
_f1989-
_gDmitry Andreevich
_2stltpush
_3(RuTPU)RU\TPU\pers\34514
712 0 2 _aНациональный исследовательский Томский политехнический университет (ТПУ)
_bИнститут неразрушающего контроля (ИНК)
_bМеждународная научно-образовательная лаборатория неразрушающего контроля (МНОЛ НК)
_h6776
_2stltpush
_3(RuTPU)RU\TPU\col\19961
801 2 _aRU
_b63413507
_c20210811
_gRCR
856 4 _uhttps://doi.org/10.4028/www.scientific.net/KEM.769.256
942 _cCF