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Simulation of X-Ray Shielding Effect of Different Materials Based on MCNP5

DOI: 10.4236/oalib.1106727, PP. 1-7

Subject Areas: Nuclear Physics

Keywords: X-Ray Shielding, Tungsten Alloy, Monte Carlo Simulation

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Abstract

This article uses the Monte Carlo method and MCNP5 software to first simulate the X-ray energy spectrum of the tungsten target and the silver target. On this basis, using lead, tungsten and tungsten alloys (90% tungsten, 7.1% nickel, and iron 2.9%) as an X-ray shielding material, the shielding efficiency of these three materials at different thicknesses is calculated, and the results show that tungsten and tungsten alloy have better shielding effect than lead. For the X-rays of different energies generated by the tungsten target and the silver target, in order to achieve the same shielding effect, the X-rays generated by the tungsten target require a thicker shielding material.

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Zhang, F. , Zhao, X. and Zhang, J. (2020). Simulation of X-Ray Shielding Effect of Different Materials Based on MCNP5. Open Access Library Journal, 7, e6727. doi: http://dx.doi.org/10.4236/oalib.1106727.

References

[1]  Liao, L. and Qiu, X. (2010) Optimized Design of Shielding Material Component Content. Nuclear Electronics and Detection Technology, 30, 118-120.
[2]  Zhu, Z. (2019) MC Simulation of Medical X-Rays and Optimization Design of Protective Materials. Nanjing University of Aeronautics and Astronautics, Nanjing.
[3]  Wang, J. and Zou, S. (2011) Comparative Study on the Performance of Tungsten and Lead as γ-Ray Shielding Materials. Journal of Nanhua University, 25, 19-22.
[4]  Du, C. and Xu, X. (2009) Monte Carlo Calculation of X-Ray Transmission Spectrum. The Second National Symposium on Nuclear Technology and Application Research, Mianyang, 1 May 2009, 599-602.
[5]  Gu, R. (2016) EDXRF Analysis of the Best Detection Device for Heavy Metal Cd in Rice. Chengdu University of Technology, Chengdu.
[6]  Xu, S. (2010) Application of Monte Carlo Method in Experimental Nuclear Physics. Atomic Energy Press, Beijing.
[7]  Zhang, Q., Ge, L. and Yi, G. (2013) MC Simulation Analysis of the Influence of Transmission Type Micro X-Ray Tube Target Thickness on the Output Spectrum. Spectroscopy and Spectral Analysis, 33, 2232-2234.
[8]  Qian, Y. (2009) Application of Monte Carlo Method in EDXRF Analysis. Chengdu University of Technology, Chengdu.
[9]  Ji, A., Tao, G. and Zhuo, S. (2003) X-Ray Fluorescence Spectroscopy Analysis. Science Press, Beijing.
[10]  Cao, L., Ding, Y. and Huang, Z. (1998) Energy Dispersive X-Ray Fluorescence Method. Chengdu University of Science and Technology Press, Chengdu.
[11]  Yang, Q., Ge, L. and. Gu, Y. (2013) Theoretical Calculation of Target Thickness for Miniature X-Ray Tube and Simulation of Output Spectrum. Spectroscopy and Spectral Analysis, 4, 1130-1134.
[12]  Zhu, Z., Luo, W. and Chai, F. (2019) MC Simulation of Medical Diagnostic X-Ray Field and Optimization Design of Composite Shielding Materials. Journal of East China University of Technology (Natural Science Edition), No. 2, 169-172.
[13]  Chen, X., Wei, C. and Sun, J. (2019) Simulation Analysis and Experimental Verification of X-Ray Shielding Performance of Tungsten Alloy. Chinese Stereology and Image Analysis, 24, 9-15.

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