Phy-X/PSD and NGCAL Models of Several Metal Sulphides: Theoretical Prediction of Gamma Shielding Efficiency

Various metal sulphides were selected for gamma and neutron shielding prediction by (Phy-X and NGCAL). The gamma parameters calculated by both software programs in the studied energy range were found to be identical, with differences (Δ% less than 1%) between both models. The Mass Attenuation Coeff...

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Main Authors: Nadher Ali Salman, Kafa Khalaf Hammud
Format: Article
Language:English
Published: Corporation of Research and Industrial Development 2024-12-01
Series:Iraqi Journal of Industrial Research
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Online Access:http://ijoir.gov.iq/ijoir/index.php/jou/article/view/480
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author Nadher Ali Salman
Kafa Khalaf Hammud
author_facet Nadher Ali Salman
Kafa Khalaf Hammud
author_sort Nadher Ali Salman
collection DOAJ
description Various metal sulphides were selected for gamma and neutron shielding prediction by (Phy-X and NGCAL). The gamma parameters calculated by both software programs in the studied energy range were found to be identical, with differences (Δ% less than 1%) between both models. The Mass Attenuation Coefficient (MAC), Mean Free Path (MFP), Half Value Layer (HVL), Tenth Value Layer (TVL), and Effective Atomic Number (Zeff) were calculated. Ag2S was a superior neutron and photon attenuator because it contains two silver ions with the highest density, mean atomic number, and metal composition in addition to the lowest (S%) among all sulphides under evaluation. Additionally, the Ag2S monoclinic network is fabricated from (2Ag+) linked to one (S2-). Therefore, the presence of heavy packed ions in the unit cell resulted in more gamma attenuation. The Zeff variation with the energy range of 0.015–15 MeV may be associated with the density, mean atomic number, composition (%) or weight fraction, total atomic cross-section, crystal geometry and elemental packing of each molecule. It can be concluded that Ag2S was the superior attenuator between the sulphides under prediction, especially at higher energies. The Gamma Protection Efficiency (GPE, %) was also calculated for the gamma shielding subject based on the Linear Attenuation Coefficient (LAC) data presented in the Beer–Lamberts law: GPE% = (1-e^(-µx)) * 100, where the thickness was assumed. The GPE% increased with increasing thickness and decreased with increasing energy. Also, silver sulphide showed the highest GPE among the other tested materials. The GPE% of the thermal or fast neutrons was also calculated, where the increasing order was SnS, SnS2, ZnS, MoS2, As2S3, CuFeS2, FeS, CoS, and Ag2S for thermal neutrons and SnS2, SnS, MoS2, As2S3, ZnS, CuFeS2, FeS, Ag2S, and CoS for fast neutrons.
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spelling doaj-art-b25f18f7106b4f0bbd2f0af995b8e55e2024-12-15T05:02:24ZengCorporation of Research and Industrial DevelopmentIraqi Journal of Industrial Research2788-712X2024-12-0111310.53523/ijoirVol11I3ID480480Phy-X/PSD and NGCAL Models of Several Metal Sulphides: Theoretical Prediction of Gamma Shielding EfficiencyNadher Ali Salman0Kafa Khalaf Hammud1Iraqi Atomic Energy Commission, IraqIraqi Atomic Energy Commission, Iraq Various metal sulphides were selected for gamma and neutron shielding prediction by (Phy-X and NGCAL). The gamma parameters calculated by both software programs in the studied energy range were found to be identical, with differences (Δ% less than 1%) between both models. The Mass Attenuation Coefficient (MAC), Mean Free Path (MFP), Half Value Layer (HVL), Tenth Value Layer (TVL), and Effective Atomic Number (Zeff) were calculated. Ag2S was a superior neutron and photon attenuator because it contains two silver ions with the highest density, mean atomic number, and metal composition in addition to the lowest (S%) among all sulphides under evaluation. Additionally, the Ag2S monoclinic network is fabricated from (2Ag+) linked to one (S2-). Therefore, the presence of heavy packed ions in the unit cell resulted in more gamma attenuation. The Zeff variation with the energy range of 0.015–15 MeV may be associated with the density, mean atomic number, composition (%) or weight fraction, total atomic cross-section, crystal geometry and elemental packing of each molecule. It can be concluded that Ag2S was the superior attenuator between the sulphides under prediction, especially at higher energies. The Gamma Protection Efficiency (GPE, %) was also calculated for the gamma shielding subject based on the Linear Attenuation Coefficient (LAC) data presented in the Beer–Lamberts law: GPE% = (1-e^(-µx)) * 100, where the thickness was assumed. The GPE% increased with increasing thickness and decreased with increasing energy. Also, silver sulphide showed the highest GPE among the other tested materials. The GPE% of the thermal or fast neutrons was also calculated, where the increasing order was SnS, SnS2, ZnS, MoS2, As2S3, CuFeS2, FeS, CoS, and Ag2S for thermal neutrons and SnS2, SnS, MoS2, As2S3, ZnS, CuFeS2, FeS, Ag2S, and CoS for fast neutrons. http://ijoir.gov.iq/ijoir/index.php/jou/article/view/480Gamma shieldingPhy-XNGCALGamma Protection Efficiency (GPE)
spellingShingle Nadher Ali Salman
Kafa Khalaf Hammud
Phy-X/PSD and NGCAL Models of Several Metal Sulphides: Theoretical Prediction of Gamma Shielding Efficiency
Iraqi Journal of Industrial Research
Gamma shielding
Phy-X
NGCAL
Gamma Protection Efficiency (GPE)
title Phy-X/PSD and NGCAL Models of Several Metal Sulphides: Theoretical Prediction of Gamma Shielding Efficiency
title_full Phy-X/PSD and NGCAL Models of Several Metal Sulphides: Theoretical Prediction of Gamma Shielding Efficiency
title_fullStr Phy-X/PSD and NGCAL Models of Several Metal Sulphides: Theoretical Prediction of Gamma Shielding Efficiency
title_full_unstemmed Phy-X/PSD and NGCAL Models of Several Metal Sulphides: Theoretical Prediction of Gamma Shielding Efficiency
title_short Phy-X/PSD and NGCAL Models of Several Metal Sulphides: Theoretical Prediction of Gamma Shielding Efficiency
title_sort phy x psd and ngcal models of several metal sulphides theoretical prediction of gamma shielding efficiency
topic Gamma shielding
Phy-X
NGCAL
Gamma Protection Efficiency (GPE)
url http://ijoir.gov.iq/ijoir/index.php/jou/article/view/480
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