000 | 04093nla2a2200481 4500 | ||
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001 | 658648 | ||
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 |
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203 |
_aText _celectronic |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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856 | 4 | _uhttps://doi.org/10.4028/www.scientific.net/KEM.769.256 | |
942 | _cCF |