Skip to content
Microsystems, Electronics and Acoustics
ISSN 2523-4447 · e‑ISSN 2523-4455 Open Access · CC BY-SA 4.0
Vol. 26 · Issue 3 · 2021 Dec 23, 2021 Electronic Systems and Signals

Application of Serpent Monte Carlo Code for Modeling of Non-destructive Systems Based on Backscattered X-Rays

АБ
Андрій М. Божук Corresponding Національний технічний університет України "Київський політехнічний інститут імені Ігоря Сікорського",National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” ,National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Ukraine
СМ
Сергій Ростиславович Михайлов Національний технічний університет України "Київський політехнічний інститут імені Ігоря Сікорського",National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” ,National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” ,National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Ukraine
ОТ
Олександр Р. Трофименко Інститут проблем безпеки АЕС НАН України Ukraine
Pages230150-1 - 230150-7 PublishedDec 23, 2021
VOL 26 · ISS 3 · 2021 View issue

Abstract

Research of objects with unilateral access is a promising area for the development of non-destructive testing systems. To create a real system and determine its optimal parameters, it is important to conduct preliminary computer simulations. The paper is devoted to creating a model of a non-destructive system based on backscattered X-rays in the Serpent Monte Carlo code. There are no known studies of the use of Serpent software to build such models. The purpose of the study was to confirm the possibility of detecting a defect, i.e., a material of a different density than the test object, which was placed in this object. A model was created, the main components of which were the radiation source, the object under study, the defect, and the detector of backscattered radiation. Experiments were performed for several combinations of system parameters, in particular when changing the angle of illumination and the distance between the object and the detector. The energy of the radiation source used in the study was 100 keV. The test object of study was a steel plate, which contained a defect — a lead plate. Calculations were performed for six cases at illumination angles of 30 and 45 degrees (scattering angles of 120 and 135 degrees, respectively), and the distance between the object and the detector 1 and 5 cm. The detector was a plane that coincided with a NaI scintillation plate of 60 by 30 cm in size. It was conventionally divided into 1800 elements to detect the flux density of backscattered radiation. A qualitative and quantitative analysis of the results met theoretical expectations. In particular, the Compton equation was fulfilled, which states that as the cosine of the scattering angle \theta increases, the energy of scattered radiation also increases. In the case of θ = 120 0 , the average flux density of backscattered radiation recorded by the detector was 1.1*10 -3 units per square centimeter per second, and in the case of θ = 135 0 , this value was 7.9*10 -4 . The results of the study can be used to build real non-destructive testing devices. These devices can be used in medicine, industry, and security systems. The model has some limitations. The radiation source in this model is monoenergetic, in contrast to classical X-ray systems, in which the radiation has a spectrum. Also, a defect is a plate of a large area, which is almost equal to the area of ​​the object under study. For practical use, the device must be capable to detect a defect many times smaller than the object under study, such as a void in the weld, a tumor in the human body, or smuggled substances. The model can be improved in the future.

Keywords

References

  1. A. Sarapata et al., “Quantitative imaging using high-energy X-ray phase-contrast CT with a 70 kVp polychromatic X-ray spectrum,” Opt. Express, vol. 23, no. 1, p. 523, Jan. 2015, DOI: https://doi.org/10.1364/OE.23.000523 .
  2. V. S. K. Yokhana, B. D. Arhatari, T. E. Gureyev, and B. Abbey, “Soft-tissue differentiation and bone densitometry via energy-discriminating X-ray microCT,” Opt. Express, vol. 25, no. 23, p. 29328, Nov. 2017, DOI: https://doi.org/10.1364/OE.25.029328 .
  3. X. Liu, Q. Liao, and H. Wang, “In vivo x-ray luminescence tomographic imaging with single-view data,” Opt. Lett., vol. 38, no. 22, p. 4530, Nov. 2013, DOI: https://doi.org/10.1364/OL.38.004530 .
  4. D. Shedlock, T. Edwards, C. Toh, D. O. Thompson, and D. E. Chimenti, “X-RAY BACKSCATTER IMAGING FOR AEROSPACE APPLICATIONS,” in AIP Conference, 2011, pp. 509–516, DOI: https://doi.org/10.1063/1.3591894 .
  5. C. N. Boyer, G. E. Holland, and J. F. Seely, “Portable hard x-ray source for nondestructive testing and medical imaging,” Rev. Sci. Instrum., vol. 69, no. 6, pp. 2524–2530, Jun. 1998, DOI: https://doi.org/10.1063/1.1148953 .
  6. J. Xu, X. Wang, Q. Zhan, S. Huang, Y. Chen, and B. Mu, “A novel lobster-eye imaging system based on Schmidt-type objective for X-ray-backscattering inspection,” Rev. Sci. Instrum., vol. 87, no. 7, p. 073103, Jul. 2016, DOI: https://doi.org/10.1063/1.4955472 .
  7. V. Grubsky, M. Gertsenshteyn, T. Jannson, and G. Savant, “Non-scanning x-ray backscattering inspection systems based on x-ray focusing,” 2007, p. 65401N, DOI: https://doi.org/10.1117/12.720018 .
  8. A.-S. Lalleman et al., “A dual X-ray backscatter system for detecting explosives: Image and discrimination of a suspicious content,” in 2011 IEEE Nuclear Science Symposium Conference Record, 2011, pp. 299–304, DOI: https://doi.org/10.1109/NSSMIC.2011.6154503 .
  9. A. Sharma, B. S. Sandhu, and B. Singh, “Incoherent scattering of gamma photons for non-destructive tomographic inspection of pipeline,” Appl. Radiat. Isot., vol. 68, no. 12, pp. 2181–2188, Dec. 2010, DOI: https://doi.org/10.1016/j.apradiso.2010.05.007 .
  10. J. L. Glover and L. T. Hudson, “A method for organic/inorganic differentiation using an x-ray forward/backscatter personnel scanner,” X-Ray Spectrom., vol. 42, no. 6, pp. 531–536, Nov. 2013, DOI: https://doi.org/10.1002/xrs.2514 .
  11. J. van den Heuvel and F. Fiore, “Simulation study of x-ray backscatter imaging of pressure-plate improvised explosive devices,” 2012, p. 835716, DOI: https://doi.org/10.1117/12.918547 .
  12. J. Leppänen, M. Pusa, T. Viitanen, V. Valtavirta, and T. Kaltiaisenaho, “The Serpent Monte Carlo code: Status, development and applications in 2013,” Ann. Nucl. Energy, vol. 82, pp. 142–150, Aug. 2015, DOI: https://doi.org/10.1016/j.anucene.2014.08.024 .
  13. A. Wei, Z. Han, B. Chang, H. Li, J. Shan, and D. Du, “Monte Carlo simulation of X-ray backscatter detection for the seam tracking when welding sandwich panels,” J. Phys. Conf. Ser., vol. 1074, p. 012186, Sep. 2018, DOI: https://doi.org/10.1088/1742-6596/1074/1/012186 .
  14. S. Huang, X. Wang, Y. Chen, J. Xu, T. Tang, and B. Mu, “Modeling and quantitative analysis of X-ray transmission and backscatter imaging aimed at security inspection,” Opt. Express, vol. 27, no. 2, p. 337, Jan. 2019, DOI: https://doi.org/10.1364/OE.27.000337 .
  15. “ASTM A36 Mild/Low Carbon Steel,” 2012. [Online]. Available: https://www.azom.com/article.aspx?ArticleID=6117 . [Accessed: 07-Apr-2021].
§ 06 — Related

Similar articles in this journal

Related peer-reviewed studies published in this journal.
View all issues

Quasistatic Identification of The Shading Structure of Solar Panels by The Method of Cardinal Number Vectors

PhD, Assoc. Prof. Olena Olehivna Abakumova, Dr.Sc.(Eng.), Prof. Valerii Yakovych Zhuikov, Mykola O. Lukianov

In the article the problem of identification the shading structure of solar panels is considered. The relevance of the study is conditioned by the necessity of rapid and…

#solar panels #photovoltaic surface #shadow structure modeling #quasistatic identification
p. 362283.1-362283.7
10.20535/2523-4455.mea.362283

A A Complex Method for Non-invasive Fetal Electrocardiogram Signal Extraction and Cardiac Arrhythmia Classification

Dmytro A. Shevchuk, PhD, Assoc. Prof. Nataliia Heorhiivna Ivanushkina

This study is devoted to the development of a complex method for extracting the fetal electrocardiogram (fECG) from non-invasive abdominal recordings and for the…

#abdominal electrocardiogram #fetal electrocardiogram #arrhythmia #blind source separation
p. 356487.1-356487.11
10.20535/2523-4455.mea.356487

Simulation Modeling of a Filter-Compensating Converter for a Three-Phase Three-Wire Network

Ivan Andriiovych Vakulenko, PhD, Assoc. Prof. Dmytro Anatoliiovych Mykolaiets, PhD, Assoc. Prof. Kateryna Serhiivna Klen

This paper addresses the critical issue of power quality degradation in modern power systems caused by the proliferation of non-linear loads. The study focuses on the…

#filter-compensating converter #three-phase three-wire network #power quality #total harmonic distortion
p. 361138.1-361138.6
10.20535/2523-4455.mea.361138

Similar Articles

1-10 of 13

You may also start an advanced similarity search for this article.