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Mathematical modeling of tomographic scanning of cylindrically shaped test objects

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Заглавие Mathematical modeling of tomographic scanning of cylindrically shaped test objects
 
Автор Kapranov, Boris Ivanovich
Vavilova, Galina Vasilievna
Volchkova, Anastasia Valentinovna
Kuznetsova, I. S.
Kuznetsova, Irina Sergeevna
 
Тематика математическое моделирование
томографическое сканирование
цилиндрические объекты
полосы поглощения
источники излучения
химический состав
плотность
 
Описание The paper formulates mathematical relationships that describe the length of the radiation absorption band in the test object for the first generation tomographic scan scheme. A cylindrically shaped test object containing an arbitrary number of standard circular irregularities is used to perform mathematical modeling. The obtained mathematical relationships are corrected with respect to chemical composition and density of the test object material. The equations are derived to calculate the resulting attenuation radiation from cobalt-60 isotope when passing through the test object. An algorithm to calculate the radiation flux intensity is provided. The presented graphs describe the dependence of the change in the [gamma]-quantum flux intensity on the change in the radiation source position and the scanning angle of the test object.
 
Дата 2018-11-29T03:16:04Z
2018-11-29T03:16:04Z
2018
 
Тип Conference Paper
Published version (info:eu-repo/semantics/publishedVersion)
Conference paper (info:eu-repo/semantics/conferencePaper)
 
Идентификатор Mathematical modeling of tomographic scanning of cylindrically shaped test objects / B. I. Kapranov [et al.] // IOP Conference Series: Materials Science and Engineering. — Bristol : IOP Publishing, 2018. — Vol. 363 : Cognitive Robotics : II International Conference, 22–25 November 2017, Tomsk, Russian Federation : [proceedings]. — [012015, 7 p.].
http://earchive.tpu.ru/handle/11683/51795
10.1088/1757-899X/363/1/012015
 
Язык en
 
Связанные ресурсы IOP Conference Series: Materials Science and Engineering. Vol. 363 : Cognitive Robotics. — Bristol, 2018.
 
Права Open access (info:eu-repo/semantics/openAccess)
 
Издатель IOP Publishing