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使用实验、理论和蒙特卡罗模拟方法对三元复合材料的伽马屏蔽特性进行详细分析

Detailed Analysis of Gamma-Shielding Characteristics of Ternary Composites Using Experimental, Theoretical and Monte Carlo Simulation Methods.

作者信息

Özdoğan Hasan, Üncü Yiğit Ali, Akman Ferdi, Polat Hasan, Kaçal Mustafa Recep

机构信息

Department of Medical Imaging Techniques, Vocational School of Health Services, Antalya Bilim University, 07190 Antalya, Turkey.

Department of Biomedical Equipment Technology, Vocational School of Technical Sciences, Akdeniz University, 07070 Antalya, Turkey.

出版信息

Polymers (Basel). 2024 Jun 24;16(13):1778. doi: 10.3390/polym16131778.

DOI:10.3390/polym16131778
PMID:39000635
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11244092/
Abstract

Ionizing radiation is vital in various fields but poses health risks, necessitating effective shielding. This study investigated the photon-shielding properties of polyester-based ternary composites with barite (BaSO) and tungsten (W) using experimental methods, theoretical calculations, and Monte Carlo simulations for energies between 81 keV and 1332.5 keV. WINXCOM was utilized for the theoretical predictions, and the MCNP6 and PHITS 3.22 algorithms were employed for the simulations. According to the results, the simulation, theoretical, and experimental data all closely aligned. At 81 keV, the composite containing the highest amount of tungsten (PBaW50) had the highest mass attenuation coefficient (3.7498 cm/g) and linear attenuation coefficient (12.9676 cm). Furthermore, for a sample that was 1 cm thick, PBaW50 offered 99.88% protection at 81 keV and had the lowest HVL and TVL values. PBaW50 exhibited attenuation capabilities, making it appropriate for use in industrial, medical, and aerospace settings. In summary, the findings of this study underscore the potential of polyester-based composites doped with barite and tungsten as effective materials for gamma radiation shielding. The PBaW50 sample, in particular, stands out for its attenuation performance, making it a viable option for a wide range of applications where durable and efficient radiation shielding is essential.

摘要

电离辐射在各个领域都至关重要,但会带来健康风险,因此需要有效的屏蔽。本研究采用实验方法、理论计算和蒙特卡罗模拟,研究了含重晶石(BaSO)和钨(W)的聚酯基三元复合材料在81 keV至1332.5 keV能量范围内的光子屏蔽性能。利用WINXCOM进行理论预测,并使用MCNP6和PHITS 3.22算法进行模拟。结果表明,模拟、理论和实验数据都紧密吻合。在81 keV时,含钨量最高的复合材料(PBaW50)具有最高的质量衰减系数(3.7498 cm²/g)和线性衰减系数(12.9676 cm)。此外,对于1 cm厚的样品,PBaW50在81 keV时提供99.88%的防护,并且具有最低的半价层(HVL)和十分之一值层(TVL)。PBaW50表现出衰减能力,适用于工业、医疗和航空航天领域。总之,本研究结果强调了掺杂重晶石和钨的聚酯基复合材料作为伽马辐射屏蔽有效材料的潜力。特别是PBaW50样品,因其衰减性能而脱颖而出,使其成为广泛应用中耐用且高效辐射屏蔽必不可少的可行选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/eabb4195d0bb/polymers-16-01778-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/c8cc1eed4893/polymers-16-01778-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/922f96a7a9ff/polymers-16-01778-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/9aabc78494f2/polymers-16-01778-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/4b270d70c520/polymers-16-01778-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/58ce7b697ea9/polymers-16-01778-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/eabb4195d0bb/polymers-16-01778-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/c8cc1eed4893/polymers-16-01778-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/61922c239199/polymers-16-01778-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/1783ed64be95/polymers-16-01778-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/64de9cfcda6c/polymers-16-01778-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/922f96a7a9ff/polymers-16-01778-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/32a84d6cc209/polymers-16-01778-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/f18de594b7a0/polymers-16-01778-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/9aabc78494f2/polymers-16-01778-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/4b270d70c520/polymers-16-01778-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/58ce7b697ea9/polymers-16-01778-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e50/11244092/eabb4195d0bb/polymers-16-01778-g011.jpg

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