X-ray Tomographic System Behavior Prediction Based on a Mathematical Model; IOP Conference Series: Materials Science and Engineering; Vol. 189 : Modern Technologies for Non-Destructive Testing

X-ray Tomographic System Behavior Prediction Based on a Mathematical Model; IOP Conference Series: Materials Science and Engineering; Vol. 189 : Modern Technologies for Non-Destructive Testing

Bibliographic Details
Parent link:	IOP Conference Series: Materials Science and Engineering Vol. 189 : Modern Technologies for Non-Destructive Testing.— 2017.— [012016, 6 p.]
Main Author:	Baus S. S.
Corporate Author:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт неразрушающего контроля (ИНК) Кафедра физических методов и приборов контроля качества (ФМПК)
Other Authors:	Redko L. A. Lyudmila Anatolevna, Yanushevskaya M. N. Marina Nikolaevna
Summary:	Title screen There appear certain challenges in defining the dependence of the X-ray radiation intensity change in passing through the material (as fixed by the detector) conditioned by various parameters of an X-ray optical system while designing new modifications of X-ray tomographs. At present, this problem is experimentally solved by selection of voltage corresponding parameter values on an X-ray tube with thickness and type of the studied material considered. To reduce the design time and complexity, a mathematical model of parameter behavior is required to characterize the X-ray optical system in the major working range of values. The present paper investigates the X-ray optical system behavior using methods of mathematical statistics. A regression model has been obtained which matches the change of the X-ray intensity value to the intensity in the X-ray tube. The research has defined the further study direction of X -ray optical system parameters.
Language:	English
Published:	2017
Subjects:	электронный ресурс труды учёных ТПУ рентгеновские системы математические модели рентгеновские излучения оптические системы рентгеновские томографы математическая статистика регрессионные модели
Online Access:	http://dx.doi.org/10.1088/1757-899X/189/1/012016 http://earchive.tpu.ru/handle/11683/38507
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654813

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