DOI QR코드

DOI QR Code

Determination of defect depth in industrial radiography imaging using MCNP code and SuperMC software

  • Khorshidi, Abdollah (School of Paramedical, Gerash University of Medical Sciences) ;
  • Khosrowpour, Behzad (Medical Radiation Engineering Department, Science and Research Branch, Islamic Azad University) ;
  • Hosseini, S. Hamed (Medical Radiation Engineering Department, Science and Research Branch, Islamic Azad University)
  • 투고 : 2019.09.01
  • 심사 : 2019.12.10
  • 발행 : 2020.07.25

초록

Background: Non-destructive evaluation of defects in metals or composites specimens is a regular method in radiographic imaging. The maintenance examination of metallic structures is a relatively difficult effort that requires robust techniques for use in industrial environments. Methods: In this research, iron plate, lead marker and tungsten defect with a 0.1 cm radius in spherical shape were separately simulated by MCNP code and SuperMC software. By 192Ir radiation source, two exposures were considered to determine the depth of the actual defined defect in the software. Also by the code, displacement shift of the defect were computed derived from changing the source location along the x- or y-axis. Results: The computed defect depth was identified 0.71 cm in comparison to the actual one with accuracy of 13%. Meanwhile, the defect position was recognized by disorder and reduction in obtained gamma flux. The flux amount along the x-axis was approximately 0.5E+11 units greater than the y-axis. Conclusion: This study provides a method for detecting the depth and position of the defect in a particular sample by combining code and software simulators.

키워드

참고문헌

  1. I. Valavanis, D. Kosmopoulos, Multiclass defect detection and classification in weld radiographic images using geometric and texture features, Expert Syst. Appl. 37 (12) (2010) 7606-7614, https://doi.org/10.1016/j.eswa.2010.04.082.
  2. ASTM E1032-19, Standard Practice for Radiographic Examination of Weldments Using Industrial X-Ray Film, ASTM International, West Conshohocken, PA, 2019, https://doi.org/10.1520/E1032-19. www.astm.org.
  3. Nacereddine N, Zelmat M, Belaïfa SS, Tridi M. Weld defect detection in industrial radiography based digital image processing. 3rd International Conference: Sciences of Electronic, Technologies of Information and Telecommunications March 27-31, 2005 - Tunisia.
  4. E. Nazemi, A. Movafeghi, B. Rokrok, M.H. Choopan Dastjerdi, A novel method for predicting pixel value distribution non-uniformity due to heel effect of X-ray tube in industrial digital radiography using artificial neural network, J. Nondestruct. Eval. 38 (2019) 3, https://doi.org/10.1007/s10921-018-0542-9.
  5. G. De Angelis, M. Meo, D.P. Almond, S.G. Pickering, S.L. Angioni, A new technique to detect defect size and depth in composite structures using digital shearography and unconstrained optimization, NDT E Int. 45 (1) (2012) 91-96, https://doi.org/10.1016/j.ndteint.2011.07.007.
  6. A. Khorshidi, Neutron activator design for 99Mo production yield estimation via lead and water moderators in transmutation's analysis, Instrum. Exp. Tech. 61 (2) (2018) 198-204, https://doi.org/10.1134/S002044121802015X.
  7. J.S. Nabipour, A. Khorshidi, Spectroscopy and optimizing semiconductor detector data under X and ${\gamma}$ photons using image processing technique, J. Med. Imaging Radiat. Sci. 49 (2) (2018) 194-200, https://doi.org/10.1016/j.jmir.2018.01.004.
  8. A. Khorshidi, A. Pazirandeh, Molybdenum transmutation via 98Mo samples using bismuth/lead neutron moderators, Europhys. Lett. 123 (1) (2018) 12001, https://doi.org/10.1209/0295-5075/123/12001.
  9. A. Khorshidi, M. Ashoor, S.H. Hosseini, A. Rajaee, Evaluation of collimators' response: round and hexagonal holes in parallel and fan beam, Prog. Biophys. Mol. Biol. 109 (2012) 59-66, https://doi.org/10.1016/j.pbiomolbio.2012.03.003.
  10. A. Khorshidi, J. Soltani-Nabipour, F. Sadeghi, Constructing environmental radon gas detector and measuring concentration in residential buildings, Phys. Part. Nucl. Lett. 16 (6) (2019), https://doi.org/10.1134/S154747711906030X.
  11. A. Khorshidi, Molybdenum-99 production via lead and bismuth moderators and milli-structure-98Mo samples by the indirect production technique using the Monte Carlo method, Phys. Uspekhi 62 (9) (2019) 931-940, https://doi.org/10.3367/UFNe.2018.09.038441.
  12. H. Wirdelius, E. Oesterberg, Study of Defect Characteristics Essential for NDT Testing Methods ET, UT and RT, vol. 42, IAEA, 2000. SKI Report 00.
  13. D. Schumacher, N. Meyendorf, I. Hakim, U. Ewert, Defect recognition in CFRP components using various NDT methods within a smart manufacturing process, in: 44th Annual Review of Progress in Quantitative Nondestructive Evaluation, Volume 37, AIP Conf. Proc., vol. 1949, 2018, https://doi.org/10.1063/1.5031521, 020024-1-020024-11.
  14. M. Kemppainen, I. Virkkunen, Crack characteristics and their importance to NDE, J. Nondestruct. Eval. 30 (3) (2011) 143-157, https://doi.org/10.1007/s10921-011-0102-z.
  15. Los Alamos National Laboratory, MCNPX User's Manual, Version 2.6.0, 2008. April.
  16. FDS-Team, SuperMC User Manual-EN. V 3.3, FDS-Team, 2018.
  17. International Atomic Energy Agency, Industrial Radiography, Manual for the Syllabi Contained in IAEA-TECDOC-628, Training Guidelines in Non-destructive Testing Techniques, IAEA-TCS-3, 1992.
  18. W. Guo, Y. Chen, Research on defect depth measurement algorithm in digital radiography testing, in: 19th World Conference on Non-destructive Testing, 2016.
  19. M. Ashoor, A. Khorshidi, L. Sarkhosh, Introducing a novel coefficient on mixed-nanoparticles material: relationship between the theoretical and experimental densities, Heliyon 5 (7) (2019), e02056, https://doi.org/10.1016/j.heliyon.2019.e02056.
  20. D. Mathijsen, Innovation bottlenecks in non destructive testing, Reinforc Plast 60 (2) (2016) 93-96, https://doi.org/10.1016/j.repl.2016.02.001.
  21. A. Khorshidi, Radiochemical parameters of molybdenum-99 transmutation in cyclotron-based production method using a neutron activator design for nuclear-medicine aims, Eur. Phys. J. Plus 134 (2019) 249, https://doi.org/10.1140/epjp/i2019-12568-3.
  22. A. Khorshidi, A. Rajaee, M. Ahmadinejad, M. Ghoranneviss, M. Ettelaee, Low energy electron generator design and depth dose prediction for micro-superficies tumors treatment purposes, Phys. Scr. 89 (9) (2014), 095001, https://doi.org/10.1088/0031-8949/89/9/095001.
  23. A. Khorshidi, M. Ashoor, S.H. Hosseini, A. Rajaee, Estimation of fan beam and parallel beam parameters in a wire mesh design, J. Nucl. Med. Technol. 40 (1) (2012) 37-43, https://doi.org/10.2967/jnmt.111.089904.
  24. M.A. Machado, K.N. Antin, L.S. Rosado, P. Vilaca, T.G. Telmo Santos, Contactless high-speed eddy current inspection of unidirectional carbon fiber reinforced polymer, Compos. B Eng. 168 (1) (2019) 226-235, https://doi.org/10.1016/j.compositesb.2018.12.021.
  25. M.A. Al-Siddiq Bin Rahman, W.L. Lai, H. Saeedipour, K.L. Goha, Cost-effective and efficient resin-injection device for repairing damaged composites, Reinforc Plast 63 (3) (2019) 156-160, https://doi.org/10.1016/j.repl.2018.11.001.
  26. N.M. Chikhradze, F.D.S. Marquis, G.S. Abashidze, Hybrid fiber and nanopowder reinforced composites for wind turbine blades, J. Mater. Sci. Technol. 4 (1) (2015) 60-67, https://doi.org/10.1016/j.jmrt.2015.01.002.
  27. A. Khorshidi, Gold nanoparticles production using reactor and cyclotron based methods in assessment of 196,198Au production yields by 197Au neutron absorption for therapeutic purposes, Mater. Sci. Eng. C 68 (1) (2016) 449-454, https://doi.org/10.1016/j.msec.2016.06.018.
  28. A. Khorshidi, Accelerator-based methods in radio-material 99Mo/99 mTc production alternatives by Monte Carlo method: the scientific-expedient considerations in nuclear medicine, J. Multiscale Model. (JMM) 10 (1) (2018) 1930001, https://doi.org/10.1142/S1756973719300016.
  29. A. Khorshidi, Accelerator driven neutron source design via beryllium target and 208Pb moderator for boron neutron capture therapy in alternative treatment strategy by Monte Carlo method, J. Cancer Res. Ther. 13 (3) (2017) 456-465, https://doi.org/10.4103/0973-1482.179180.
  30. A. Khorshidi, M. Ashoor, Modulation transfer function assessment in parallel beam and fan beam collimators with square and cylindrical holes, Ann. Nucl. Med. 28 (4) (2014) 363-370, https://doi.org/10.1007/s12149-014-0820-2.
  31. ASTM E2862-18, Standard Practice for Probability of Detection Analysis for Hit/Miss Data, ASTM International, West Conshohocken, PA, 2018, https://doi.org/10.1520/E2862-18. www.astm.org.

피인용 문헌

  1. Quality control assessment of Philips digital radiography and comparison with Spellman and Samsung systems in Tehran Oil Ministry Hospital vol.135, pp.2, 2020, https://doi.org/10.1140/epjp/s13360-020-00275-1
  2. Simulation Modeling in Digital Radiography with Allowance for Spatial Outlines of Test Objects vol.56, pp.8, 2020, https://doi.org/10.1134/s1061830920080082
  3. Shielding design for high-intensity Co-60 and Ir-192 gamma sources used in industrial radiography based on PHITS Monte Carlo simulations vol.135, pp.10, 2020, https://doi.org/10.1140/epjp/s13360-020-00797-8
  4. Interdisciplinary Learning Methodology for Supporting the Teaching of Industrial Radiology through Technical Drawing vol.11, pp.12, 2020, https://doi.org/10.3390/app11125634