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Article

Introduction of Graphene/h-BN Metamaterial as Neutron Radiation Shielding by Implementing Monte Carlo Simulation

by
Marzieh Hassanpour
1,*,
Mehdi Hassanpour
1,*,
Simin Faghihi
2,
Saeedeh Khezripour
3,
Mohammadreza Rezaie
4,
Parvin Dehghanipour
5,
Mohammad Rashed Iqbal Faruque
1,* and
Mayeen Uddin Khandaker
6,7
1
Space Science Centre (ANGKASA), Institute of Climate Change (IPI), Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
2
Department of Engineering, Khorasgan (Isfahan) Branch, Islamic Azad University, Arghavanieh, Isfahan 8155139998, Iran
3
Department of Molecular and Atomic Physics, Faculty of Modern Science and Technology, Graduate University of Advanced Technology, Kerman 7631885356, Iran
4
Department of Nuclear Engineering, Faculty of Modern Sciences and Technologies, Graduate University of Advanced Technology, Kerman 7631885356, Iran
5
Department of Physics, Payame Noor University (PNU), Tehran 1599959515, Iran
6
Centre for Applied Physics and Radiation Technologies, School of Engineering and Technology, Sunway University, Bandar Sunway, Petaling Jaya 47500, Malaysia
7
Department of General Educational Development, Faculty of Science and Information Technology, Daffodil International University, DIU Road, Dhaka 1341, Bangladesh
*
Authors to whom correspondence should be addressed.
Materials 2022, 15(19), 6667; https://doi.org/10.3390/ma15196667
Submission received: 27 July 2022 / Revised: 21 September 2022 / Accepted: 22 September 2022 / Published: 26 September 2022
(This article belongs to the Section Advanced Composites)

Abstract

:
In this paper, graphene/h-BN metamaterial was investigated as a new neutron radiation shielding (NRS) material by Monte Carlo N-Particle X version (MCNPX) Transport Code. The graphene/h-BN metamaterial are capable of both thermal and fast neutron moderator and neutron absorber process. The constituent phases in graphene/h-BN metamaterial are chosen to be hexagonal boron nitride (h-BN) and graphene. The introduced target was irradiated by an Am–Be neutron source with an energy spectrum of 100 keV to 15 MeV in a Monte Carlo simulation input file. The resulting current transmission rate (CTR) was investigated by the MCNPX code. Due to concrete’s widespread use as a radiation shielding material, the results of this design were also compared with concrete targets. The results show a significant increase in NRS compared to concrete. Therefore, metamaterial with constituent phase’s graphene/h-BN can be a suitable alternative to concrete for NRS.

1. Introduction

In recent years, the radiation shielding concept has been extended to exploit radiation-related technology properties, such as radiography and radiotherapy [1]. Neutrons are the most important rays that need further investigation to shield them because these rays do not have an electric charge, and materials that can cause significant growth of cross-sections for neutron radiation shielding (NRS) should be used to moderate and absorb them. One particular class of concrete, concrete containing additives, has attracted much interest because it exhibits a higher radiation shielding as compared to conventional concrete [2,3]. These additives contain green additives such as pistachios shell and date palm leaf [4], boron-based additives such as basalt-boron fiber [5], polyethylene [3], carbon powder [6], led-based glass systems [2], etc. The mechanical properties of concretes containing additives often decline due to the disruption of the concrete-mixing design standard [3,7,8,9]. Therefore, the need to study advanced technologies in this regard can be important. Over the past few years, the application of metamaterials has expanded due to the extraordinary efficiency of unusual mechanical properties, such as ultra-lightweight and stiffness [10,11], negative mass density [12,13], and high-energy absorption [14,15]. As the name implies, metamaterials are synthetic composite materials that exhibit properties that are not inherent to natural materials. In metamaterials, mechanical properties are provided by different construction phases. Co-continuous two-phase composites contain the complete interpenetration of the constituent phases in all three dimensions, each contributing to the composite’s overall properties in a totally independent manner. Nevertheless, all three dimensions of these two phases are intertwined topologically and acted upon mutually [15,16]. Consequently, in comparison to their rod-connected counterparts, triply periodic minimal surface structures with simple cubic lattice exhibit significantly improved elastic properties [17]. Therefore, by designing these metamaterials structures with the proper combination of ingredients phases can help guide the creation of NRS.
Preparation of high-quality metamaterials can be accomplished through laser chemical vapour deposition. Because of its low porosity, high crystallinity, and high purity, the material deposited by this technique usually has mechanical properties and a thermal stability that are superior to other techniques [18]. That is why there have been numerous materials (including carbon and boron) deposited by laser chemical vapour deposition techniques [18]. The atomic thickness of this carbon material provides excellent mechanical and impermeability properties, which make it very useful in many applications [19,20]. Recently, the combination of hexagonal boron nitride (h-BN) and graphene has been known as a metamaterial, and researchers are investigating the properties and characteristics of this metamaterial in applied fields [21,22,23,24,25,26,27].
In this article, the shielding properties of this particular type of metamaterial (graphene/h-BN) have been investigated by Monte Carlo N-Particle Transport Code (MCNPX) and the results compared with concrete as an indicator neutron shield. One of the index codes for evaluating the effects of radiation is the MCNPX code [21,22,23,28,29]. Therefore, the NRS calculations were performed using MCNPX code in this study.
The main aim of this research is the initial step to evaluate metamaterial as a neutron radiation shielding, and for this purpose, the results are compared with the most important neutron radiation shield, concrete, and if it performs better than concrete, it can be introduced as a neutron radiation shielding. It can provide a platform for more calculations and research in line with the use of metamaterials in the radiation shielding industry. By simulating a model, theorists can examine its properties and compare their predictions with the simulation results. The simulation is actually a virtual experiment that is performed to understand the response of the behavior system before a real one is conducted. However, it allows experimentalists to assess the validity of experimental results when a theory is highly complicated, while they do not have a precise method to solve it by theorizing. Since Monte Carlo simulations and modeling can be used in the science of particle transport at no cost, the calculations were performed through coding. As one of the most significant nuclear codes, the MCNPX code has been validated and verified by many researchers [30,31,32], and the results show a high compatibility between simulations and laboratory calculations [33,34,35,36,37,38]. The programming language of the MCNPX code is FORTRAN, but to extract the data, an input file must be written in text format with special commands. As a main part of the MCNPX code input file structure, three types of cards are used: cell cards, surface cards, and data cards.
A blank line is required to separate these three main cards. A cell card is required to describe the geometry. Each cell is made of different surfaces that are listed on the surface card. The data card contains all the necessary information for making the cells, including the material specifications (density and percentage of the elements in it), the specifications of the radiation source and how to extract the data. After writing the MCNPX code input file, this file is executed, and the desired results are recorded in an output file.

2. Materials and Methods

By defining the input file (cell card, surface card, data card), the geometric structure of the target was introduced to the MCNPX code. This structure is a 30 × 30 × 30 cm3, which is initially completely filled with concrete and then defined with a metamaterial structure. There are two phases in the metamaterial state: hexagonal boron nitride and graphene. Hexagonal boron nitride (h-BN) and graphene both have similar hexagonal layer structural features, so that h-BN is referred to as white graphene.
The design of the metamaterial structure was conducted in two ways. Geometric structure 1 (GS1): The 30 × 30 × 30 cm3 cube is characterized by triply periodic Macrobody surface structures exhibiting a simple cubic lattice (Figure 1). Macrobody is a term that defines all the surfaces of a certain volume such as sphere, cylinder, and cube inside the MCNPX code [39].
Geometric structure 2 (GS2): The 30 × 30 × 30 cm3 cube is characterized by structures of a periodic cubic lattice, each of them filled with rod columns (Figure 2, Red color) and metamaterial placed in them. These cylindrical rods are placed next to each other, and the surrounding space is filled with air (Figure 2, blue color). The cylindrical rods mean that the metamaterial sheets of the GS1 structure are rolled and form a cylindrical rod structure. As shown in Figure 2, a cylinder with a radius of 0.05 cm was defined inside each cubic lattice structure with dimension of 0.1 × 0.1 × 30 cm3 and filled with graphene/h-BN metamaterial.
The “Fill” and “Universe” orders can be used in conjunction with the “Lat” command to specify a lattice type (cubic or hexagonal) in the MCNPX cell cards. The required surfaces are defined on the surface card using the commands including Macrobody Rectangular Parallelepiped (RPP), Macrobody Right Hexagonal Prism (HEX or RHP), Macrobody Right Circular Cylinder (RCC), and sphere with centered at origin (So). A Macrobody has a specific definition, which is called from the code using the above symbols, allowing it to identify all types of Macrobodies [39].
As part of the MCNPX code input file, materials are defined using the ZAID statement, which multiplies an atomic number by a 1000 and plus mass number (Z × 1000 + A) [24]. It should be noted that to define a material that has a combination of different elements, the atomic percentage or weight percentage of each element must be included in the data card. Each of the above geometric structures is filled with materials that are suitable for NRS. For the control sample, the cube defined in the cell card was filled with concrete constituents whose specifications are in accordance with Table 1.
The constituent phases in each metamaterial simulation are chosen to be graphene hexagonal boron nitride (h-BN) and graphene with their ZAID defined in the data card. The neutron source used in the simulation is Americium–Beryllium (Am–Be), which has an energy range from 100 keV to 15 MeV. In Figure 3, the spectrum of this neutron source is depicted along the energy axis.
To obtain NRC in the MCNPX code, the current transmission rate (CTR) was calculated using F1 tally (surface current tally) and flux mesh tally. The mesh tally was defined in three dimensions and meshes were considered along the direction of the z-axis and y-axis and aligned with the direction of the incident beam. To consider all scenarios of hitting the target, the direction of the incident beam was considered along the z- and y-axes, since the target structure is different perpendicularly and parallelly to the sheets. For example, if the beam is irradiated in the direction of the z-axis in the GS1 structure, the incident beam will be perpendicular to the parallel sheets (xz surface), and if it is irradiated in the direction of the y-axis, it will hit the target parallel to the xy sheet. Therefore, both radiation directions were investigated in terms of NRS. Finally, the shielding percentage (SP%) is computed by varying the axis between 0 and 30 cm (cm) and calculating the CTR from an external surface.

3. Results and Discussion

First, the CTR was evaluated for a cube target with 30 × 30 × 30 cm3 sides containing concrete and metamaterial with the GS1 and the GS2 structure. The incident beam was irradiated towards the target in two directions of z- and y-axis, the results of which are reported in Figure 4. GS1Z, GS1Y, GS2Z, and GS2Y, respectively, are the CTR obtained from GS1 per incident beam along the z-axis, the CTR obtained from GS1 per incident beam along the y-axis, the CTR obtained from GS2 per incident beam along the z-axis, and the CTR obtained from GS2 per incident beam along the y-axis.
According to Figure 4, the CTR decreases with increasing the thickness of the targets.
Significant effects of NRS per metamaterial can be observed compared to conventional concrete. As shown in Table 2, at a thickness of 20 cm, the shielding percentage (SP%) of metamaterials is between 80.69% and 81.82%, which is 25.92% higher than the SP% of concrete in the lowest case. By increasing the thickness of the concrete target to 30 cm, the maximum SP% of the concrete is 90.86%, which is extremely close to the SP% of metamaterial at 25 cm thick. However, the metamaterial SP% at a thickness of 30 cm reaches a significant amount of 96.43% in GS1Z and 96.77% in GS1Y.
As the incident beam can enter the target from two different radiation directions, the neutron leakage, which is the CTR, may be affected. This was checked using the μ variable as a percentage difference in the neutron leakage rate, which is defined as follows:
μ = Neutron   leakage   in   the   direction   of   the   z   axis   neutron   leakage   in   the   direction   of   the   y   axis Neutron   leakage   in   the   direction   of   the   z   axis   ×   100
The results of Figure 5 demonstrate that changing the direction of the radiation of the neutron beam to the layers in both vertical and parallel directions has negligible effects, and this can be explained by the neutron diffusion process that occurs after the initial collision with the target, which causes neutrons to collide at different angles throughout the entire target’s volume.
Accordingly, the optimal geometric structure for the metamaterial with the two phases containing graphene/h-BN was investigated by examining GS1 and GS2. Concrete, the GS1 and GS2 structures in the initial thicknesses have an exponential growth of the CTR, which is due to the production of neutrons per (n, 2n) reaction (Figure 6 and Figure 7). AX (n, 2n) A−1X reactions are performed at GS1 in thicknesses between zero and 3.4 cm, while neutrons are produced at GS2 in thicknesses up to 2.3 cm.
As shown in Table 2, the NRS trend of metamaterial is higher for the GS1 than for the GS2 structure in 30 cm thicknesses, but the SP% ratio (GS1 SP%/GS2 SP%) is 0.99 in the thickness range from 20 to 30 cm. In spite of this, both structures can be suggested for NRS based on their close CTR percentages.
To evaluate the reason for the improvement of NRS in GS1 and GS2 compared to concrete, the cross-section of each of them was calculated and charted in the energy ranges between 10−12 and 1000 MeV. According to the results shown in Figure 8, the absorption cross-section of neutrons with energy up to 10−8 in GS1 and GS2 reach a climax (almost 100 times), which is a very impressive result and can be attributed to the boron element, which has a highly remarkable neutron absorption cross-section. Furthermore, the cross-sectional area of collision in energy ranges beyond 10−8 also has a significant growth. Therefore, the neutrons in the GS1 and GS2 structures first moderate the fast neutrons with a more acceptable scattering cross-section than concrete and then absorb thermal neutrons.
In 2020, Ying et al. [40], investigated the shielding properties of polyethylene/hexagonal boron nitride (polyethylene/h-BN). In their research, a multilayer structure including high-density polyethylene/hexagonal boron nitride layers and low-density polyethylene layers has been introduced. For comparison, this material was also simulated in a cubic structure with dimensions of 30 × 30 × 30 cm3.
While polyethylene/h-BN shows slightly better results, the SP% is almost close to each other in both structures (Figure 9).
One of the most important features of neutron shielding is thermal conductivity (TH). Shielding structures with more TH will therefore be considered advantageous. The value of TH for graphene/h-BN is in the range between 200 and 1000 W/mk [41], while the TH obtained from polyethylene/h-BN is 3.5 at best [40]. Although SP% is slightly better than graphene/h-BN at thicknesses between 5 and 25 cm, graphene/h-BN can be a more valuable and suitable radiation shielding material due to its thermal conductivity range from 57 to 258 times. Nevertheless, it is much more suitable for protecting against neutrons than concrete.
Obtaining a material that performs well as a neutron shield and has high thermal conductivity is the most important application of shielding in cosmic rays. It may therefore be beneficial to introduce graphene/h-BN metamaterial into this research as a platform for wider studies.

4. Conclusions

This paper introduces a new neutron radiation shield (NRS) using metamaterial with constituent phase’s hexagonal boron nitride (h-BN) and graphene. To evaluate this structure, the Am–Be neutron source was defined in the input file of the MCNPX code, and the current transmission rate (CTR) of the incident neutrons that enter the target was evaluated. The results of metamaterial were compared with the most famous neutron shield, concrete and polyethylene/hexagonal boron nitride. A maximum NRS of 96.43% and 96.77% was obtained at a thickness of 30 cm for the GS1Z and GS1Y, whereas the concrete led to a maximum NRS of 90.86% at a thickness of 30 cm, which is close to the shielding percentage (SP%) obtained from metamaterial at 20 cm thickness. On the other hand, graphene/h-BN has an extremely high thermal conductivity, making it a very significant advantage for NRS. Therefore, graphene/h-BN metamaterials can be a suitable combination to moderate the speed of fast neutrons and ultimately their absorption.

Author Contributions

Conceptualization, M.H. (Marzieh Hassanpour), M.H. (Mehdi Hassanpour), S.K., M.R. and P.D.; Data curation, M.H. (Marzieh Hassanpour), M.H. (Mehdi Hassanpour), S.K., M.R. and P.D.; Formal analysis, M.H. (Marzieh Hassanpour), M.H. (Mehdi Hassanpour), S.K., M.R., P.D. and S.F.; Funding acquisition, M.R.I.F.; Investigation, M.H. (Marzieh Hassanpour), M.H. (Mehdi Hassanpour), S.K., M.R., P.D. and S.F.; Methodology, M.H. (Marzieh Hassanpour), M.H. (Mehdi Hassanpour) and M.R.; Project administration, M.R.I.F. and M.U.K.; Resources, M.R.I.F. and M.U.K.; Software, M.H. (Marzieh Hassanpour), M.H. (Mehdi Hassanpour), S.K., P.D. and S.F.; Supervision, M.R.I.F. and M.U.K.; Validation, M.H. (Mehdi Hassanpour), M.R., M.R.I.F. and M.U.K.; Visualization, M.H. (Marzieh Hassanpour), M.H. (Mehdi Hassanpour), M.R., M.R.I.F. and M.U.K.; Writing—original draft, M.H. (Marzieh Hassanpour), M.H. (Mehdi Hassanpour), S.K., P.D. and S.F.; Writing—review and editing, M.H. (Mehdi Hassanpour), M.R., M.R.I.F. and M.U.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Research Universiti Grant, Universiti Kebangsaan Malaysia, Geran Universiti Penyelidikan (GUP), code: GUP-2021-074.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The author declares that they have no conflict of interest.

References

  1. Azadegan, N.; Hassanpour, M.; Khandaker, M.U.; Faruque, M.R.I.; Al-mugren, K.S.; Bradley, D.A. Calculation of secondary radiation absorbed doses due to the proton therapy on breast cancer using MCNPX code. Radiat. Phys. Chem. 2021, 183, 109427. [Google Scholar] [CrossRef]
  2. Kurudirek, M. Radiation shielding and effective atomic number studies in different types of shielding concrete, lead base, and non-lead base glass systems for total electron interaction: A comparative study. Nucl. Eng. Des. 2014, 280, 440–448. [Google Scholar] [CrossRef]
  3. Malkapur, S.M.; Divakar, L.; Narasimhan, M.C.; Karkera, N.B.; Goverdhan, P.; Sathian, V.; Prasad, N.K. Fresh and hardened properties of polymer incorporated self-compacting concrete mixes for neutron radiation shielding. Constr. Build. Mater. 2017, 157, 917–929. [Google Scholar] [CrossRef]
  4. Hassanpour, M.; Hassanpour, M.; Rezaie, M.; Salajegheh, E.; Faruque, M.R.I.; Khandaker, M.U.; Bradley, D.A. Studies of the mechanical and neutron shielding features of concrete by incorporation of green additive materials: Experimental and numerical study. Radiat. Phys. Chem. 2022, 191, 109846. [Google Scholar] [CrossRef]
  5. Zorla, E.; Ipbüker, C.; Biland, A.; Kiisk, M.; Kovaljov, S.; Tkaczyk, A.H.; Gulik, V. Radiation shielding properties of high-performance concrete reinforced with basalt fibers infused with natural and enriched boron. Nucl. Eng. Des. 2017, 313, 306–318. [Google Scholar] [CrossRef]
  6. Kharita, M.H.; Yousef, S.; AlNassar, M. The effect of carbon powder addition on the properties of hematite radiation shielding concrete. Prog. Nucl. Energy 2009, 51, 388–392. [Google Scholar] [CrossRef]
  7. Min, J.; Lee, B.; Lee, J.S. Development of synthetic resin-based mortar for low-activation and neutron shields. Constr. Build. Mater. 2016, 124, 992–998. [Google Scholar] [CrossRef]
  8. Binici, H.; Aksogan, O.; Sevinc, A.H.; Cinpolat, E. Mechanical and radioactivity shielding performances of mortars made with cement, sand, and eggshells. Construct. Build. Mater. 2015, 93, 1145–1150. [Google Scholar] [CrossRef]
  9. DiJulio, D.D.; Cooper-Jensen, C.P.; Perrey, H.; Fissum, K.; Rofors, E.; Scherzinger, J.; Bentley, P.M. A polyethylene-B4C based concrete for enhanced neutron shielding at neutron research facilities. Nucl. Instrum. Methods Phys. Res. 2017, 859, 41–46. [Google Scholar] [CrossRef]
  10. Bauer, J.; Hengsbach, S.; Tesari, I.; Schwaiger, R.; Kraft, O. High-strength cellular ceramic composites with 3D microarchitecture. Proc. Natl. Acad. Sci. USA 2014, 111, 2453–2458. [Google Scholar] [CrossRef] [Green Version]
  11. Zheng, X.; Lee, H.; Weisgraber, T.H.; Shusteff, M.; DeOtte, J.; Duoss, E.B.; Kuntz, J.D.; Biener, M.M.; Ge, Q.; Jackson, J.A.; et al. Ultralight, ultrastiff mechanical metamaterials. Science 2014, 344, 1373–1377. [Google Scholar] [CrossRef] [PubMed]
  12. Ding, Y.; Liu, Z.; Qiu, C.; Shi, J. Metamaterial with simultaneously negative bulk modulus and mass density. Phys. Rev. Lett. 2007, 99, 093904. [Google Scholar] [CrossRef] [PubMed]
  13. Li, J.; Chan, C.T. Double-negative acoustic metamaterial. Phys. Rev. E 2004, 70, 055602. [Google Scholar] [CrossRef] [PubMed]
  14. Lee, J.H.; Wang, L.; Boyce, M.C.; Thomas, E.L. Periodic bicontinuous composites for high specific energy absorption. Nano Lett. 2012, 12, 4392–4396. [Google Scholar] [CrossRef]
  15. Wang, L.; Lau, J.; Thomas, E.L.; Boyce, M.C. Co-continuous composite materials for stiffness, strength, and energy dissipation. Adv. Mater. 2011, 23, 1524–1529. [Google Scholar] [CrossRef]
  16. Clarke, D.R. Interpenetrating phase composites. J. Am. Ceram. Soc. 1992, 75, 739–758. [Google Scholar] [CrossRef]
  17. Maldovan, M.; Ullal, C.K.; Jang, J.H.; Thomas, E.L. Sub-micrometer scale periodic porous cellular structures: Microframes prepared by holographic interference lithography. Adv. Mater. 2007, 19, 3809–3813. [Google Scholar] [CrossRef]
  18. Duty, C.; Jean, D.; Lackey, W.J. Laser chemical vapour deposition: Materials, modelling, and process control. Int. Mater. Rev. 2001, 46, 271–287. [Google Scholar] [CrossRef]
  19. Geim, A.K. Random walk to graphene (Nobel Lecture). Angew. Chem. Int. Ed. 2011, 50, 6966–6985. [Google Scholar] [CrossRef]
  20. Tang, Y.B.; Lee, C.S.; Chen, Z.H.; Yuan, G.D.; Kang, Z.H.; Luo, L.B.; Song, H.S.; Liu, Y.; He, Z.B.; Zhang, W.J.; et al. High-quality graphenes via a facile quenching method for field-effect transistors. Nano Lett. 2009, 9, 1374–1377. [Google Scholar] [CrossRef]
  21. Hassanpour, M.; Rezaie, M.R.; Baghizadeh, A. Practical analysis of aflatoxin M1 reduction in pasteurized Milk using low dose gamma irradiation. J. Environ. Health Sci. Eng. 2019, 17, 863–872. [Google Scholar] [CrossRef] [PubMed]
  22. Khezripour, S.; Negarestani, A.; Rezaie, M.R. Investigating the response of Micromegas detector to low-energy neutrons using Monte Carlo simulation. J. Instrum. 2017, 12, P08007. [Google Scholar] [CrossRef]
  23. Hassanpour, M.; Khezripour, S.; Rezaie, M.; Hassanpour, M.; Faruque, M.R.I.; Khandaker, M.U. The efficacy of thick gas electron multiplier detector in measuring 14C for dating purpose. Radiat. Phys. Chem. 2022, 198, 110288. [Google Scholar] [CrossRef]
  24. Hassanpour, M.; Rezaie, M.; Faruque, M.R.I.; Khandaker, M.U. A novel approach for the reduction of aflatoxin in pistachio nuts using experimental and MCNP simulation. Radiat. Phys. Chem. 2021, 189, 109752. [Google Scholar] [CrossRef]
  25. Wang, J.; Ma, F.; Liang, W.; Wang, R.; Sun, M. Optical, photonic and optoelectronic properties of graphene, h-BN and their hybrid materials. Nanophotonics 2017, 6, 943–976. [Google Scholar] [CrossRef]
  26. Dai, S.; Ma, Q.; Liu, M.K.; Andersen, T.; Fei, Z.; Goldflam, M.D.; Wagner, M.; Watanabe, K.; Taniguchi, T.; Thiemens, M.; et al. Graphene on hexagonal boron nitride as a tunable hyperbolic metamaterial. Nat. Nanotechnol. 2015, 10, 682–686. [Google Scholar] [CrossRef]
  27. Yan, D.; Wang, Y.; Qiu, Y.; Feng, Q.; Li, X.; Li, J.; Qiu, G.; Li, J. May. A Review: The Functional Materials-Assisted Terahertz Metamaterial Absorbers and Polarization Converters. Photonics 2022, 9, 335. [Google Scholar] [CrossRef]
  28. Khezripour, S.; Negarestani, A.; Rezaie, M.R. A new approach for alpha radiography by triple THGEM using Monte Carlo simulation and measurement. J. Instrum. 2018, 13, P05024. [Google Scholar] [CrossRef]
  29. Hassanpour, M.; Dehghanipour, P.; Rezaie, M.; Hassanpour, M.; Faruque, M.R.I.; Khandaker, M.U. Study of alpha spectrometry for detection of radon and progeny using gas micro-strip detector. Appl. Radiat. Isot. 2022, 187, 110344. [Google Scholar] [CrossRef]
  30. Kavanoz, H.B.; Akçalı, Ö.; Toker, O.; Bilmez, B.; Çağlar, M.; İçelli, O. A novel comprehensive utilization of vanadium slag/epoxy resin/antimony trioxide ternary composite as gamma ray shielding material by MCNP 6.2 and BXCOM. Radiat. Phys. Chem. 2019, 165, 108446. [Google Scholar] [CrossRef]
  31. Sayyed, M.I.; Mahmoud, K.A.; Islam, S.; Tashlykov, O.L.; Lacomme, E.; Kaky, K.M. Application of the MCNP 5 code to simulate the shielding features of concrete samples with different aggregates. Radiat. Phys. Chem. 2020, 174, 108925. [Google Scholar] [CrossRef]
  32. Mahmoud, K.A.; Sayyed, M.I.; Tashlykov, O.L. Comparative studies between the shielding parameters of concretes with different additive aggregates using MCNP-5 simulation code. Radiat. Phys. Chem. 2019, 165, 108426. [Google Scholar] [CrossRef]
  33. Bagheri, R.; Moghaddam, A.K.; Yousefnia, H. Gamma ray shielding study of barium–bismuth–borosilicate glasses as transparent shielding materials using MCNP-4C code, XCOM program, and available experimental data. Nucl. Eng. Technol. 2017, 49, 216–223. [Google Scholar] [CrossRef]
  34. Talamo, A.; Gohar, Y.; Aliberti, G.; Cao, Y.; Smith, D.; Zhong, Z.; Kiyavitskaya, H.; Bournos, V.; Fokov, Y.; Routkovskaya, C.; et al. MCNPX, MONK, and ERANOS analyses of the YALINA Booster subcritical assembly. Nucl. Eng. Des. 2011, 241, 1606–1615. [Google Scholar] [CrossRef]
  35. Salgado, C.M.; Brandão, L.E.B.; Schirru, R.; Pereira, C.M.D.N.A.; Conti, C.D.C. Validation of a NaI (Tl) detector’s model developed with MCNP-X code. Prog. Nucl. Energy 2012, 59, 19–25. [Google Scholar] [CrossRef]
  36. Di Tigliole, A.B.; Cammi, A.; Clemenza, M.; Memoli, V.; Pattavina, L.; Previtali, E. Benchmark evaluation of reactor critical parameters and neutron fluxes distributions at zero power for the TRIGA Mark II reactor of the University of Pavia using the Monte Carlo code MCNP. Prog. Nucl. Energy 2010, 52, 494–502. [Google Scholar] [CrossRef]
  37. Ródenas, J.; Martinavarro, A.; Rius, V. Validation of the MCNP code for the simulation of Ge-detector calibration. Nucl. Instrum. Methods Phys. Res. 2000, 450, 88–97. [Google Scholar] [CrossRef]
  38. Arthur, J.; Bahran, R.; Hutchinson, J.; Sood, A.; Thompson, N.; Pozzi, S.A. Development of a research reactor protocol for neutron multiplication measurements. Prog. Nucl. Energy 2018, 106, 120–139. [Google Scholar] [CrossRef]
  39. Shultis, J.K.; Faw, R.E. An MCNP Primer; Department of Mechanical and Nuclear Engineering, Kansas State University: Manhattan, KS, USA, 2011; pp. 1–42. [Google Scholar]
  40. Shang, Y.; Yang, G.; Su, F.; Feng, Y.; Ji, Y.; Liu, D.; Yin, R.; Liu, C.; Shen, C. Multilayer polyethylene/hexagonal boron nitride composites showing high neutron shielding efficiency and thermal conductivity. Compos. Commun. 2020, 19, 147–153. [Google Scholar] [CrossRef]
  41. Iwata, T.; Shintani, K. Reduction of the thermal conductivity of a graphene/h-BN heterobilayer via interlayer sp 3 bonds. Phys. Chem. Chem. Phys. 2018, 20, 5217–5226. [Google Scholar] [CrossRef]
Figure 1. A geometric structure of metamaterial with periodic Macrobody surfaces structures with cubic lattice (GS1) obtained by MCNPX code.
Figure 1. A geometric structure of metamaterial with periodic Macrobody surfaces structures with cubic lattice (GS1) obtained by MCNPX code.
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Figure 2. A geometric structure of metamaterial with cubic lattice filled with rod columns (GS2) obtained by MCNPX code.
Figure 2. A geometric structure of metamaterial with cubic lattice filled with rod columns (GS2) obtained by MCNPX code.
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Figure 3. Am–Be neutron source energy spectrum [4].
Figure 3. Am–Be neutron source energy spectrum [4].
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Figure 4. Comparison of CTR obtained from ordinary concrete and GS1.
Figure 4. Comparison of CTR obtained from ordinary concrete and GS1.
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Figure 5. Comparison of CTR obtained from GS1Z−GS1Y and GS2Z−GS2Y.
Figure 5. Comparison of CTR obtained from GS1Z−GS1Y and GS2Z−GS2Y.
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Figure 6. AX (n, 2n) A1X cross-section in GS1 and GS2.
Figure 6. AX (n, 2n) A1X cross-section in GS1 and GS2.
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Figure 7. AX (n, 2n) A1X cross-section in concrete composite structure.
Figure 7. AX (n, 2n) A1X cross-section in concrete composite structure.
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Figure 8. Total neutron cross-section for A) concrete, and metamaterial B) GS2, and C) GS1.
Figure 8. Total neutron cross-section for A) concrete, and metamaterial B) GS2, and C) GS1.
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Figure 9. Shielding percentage obtained from polyethylene/h-BN and GS1Y.
Figure 9. Shielding percentage obtained from polyethylene/h-BN and GS1Y.
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Table 1. Weight percentage of the concrete constituents [4].
Table 1. Weight percentage of the concrete constituents [4].
ElementsZAIDWt% 1ElementsZAIDWt% 1
H10011.065Fe26,0560.283
O801653.489Mg12,0240.244
Si14,02830.116S16,0320.178
Ca20,04012.266Na11,0230.07
Al13,0270.364K19,0390.078
C60121.847
1 Wt%: weighting percentages (Normalization to Sum 1).
Table 2. Shielding percentage obtained from metamaterials and concrete.
Table 2. Shielding percentage obtained from metamaterials and concrete.
ZConcrete (SP%)GS1Z (SP%)GS1Y (SP%)GS2Z (SP%)GS2Y (SP%)
10 cm3.3142.0244.3446.746.57
20 cm54.7680.6981.8281.1281.31
25 cm74.0889.9191.0189.9289.9
30 cm90.8596.4396.7795.8695.87
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Hassanpour, M.; Hassanpour, M.; Faghihi, S.; Khezripour, S.; Rezaie, M.; Dehghanipour, P.; Faruque, M.R.I.; Khandaker, M.U. Introduction of Graphene/h-BN Metamaterial as Neutron Radiation Shielding by Implementing Monte Carlo Simulation. Materials 2022, 15, 6667. https://doi.org/10.3390/ma15196667

AMA Style

Hassanpour M, Hassanpour M, Faghihi S, Khezripour S, Rezaie M, Dehghanipour P, Faruque MRI, Khandaker MU. Introduction of Graphene/h-BN Metamaterial as Neutron Radiation Shielding by Implementing Monte Carlo Simulation. Materials. 2022; 15(19):6667. https://doi.org/10.3390/ma15196667

Chicago/Turabian Style

Hassanpour, Marzieh, Mehdi Hassanpour, Simin Faghihi, Saeedeh Khezripour, Mohammadreza Rezaie, Parvin Dehghanipour, Mohammad Rashed Iqbal Faruque, and Mayeen Uddin Khandaker. 2022. "Introduction of Graphene/h-BN Metamaterial as Neutron Radiation Shielding by Implementing Monte Carlo Simulation" Materials 15, no. 19: 6667. https://doi.org/10.3390/ma15196667

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