Research Article

Monte Carlo Simulation of Gamma Ray Shielding Performance of Fe55Ni28Co17 Doped PCL/ PLA Composites Using Geant4

Volume: 9 Number: 1 June 29, 2026

Monte Carlo Simulation of Gamma Ray Shielding Performance of Fe55Ni28Co17 Doped PCL/ PLA Composites Using Geant4

Abstract

In this study, the gamma ray shielding performance of biodegradable PCL/PLA based composites reinforced with Fe55Ni28Co17 alloy was systematically investigated. The alloy was incorporated into the polymer matrix at 2%, 6%, and 10% by weight to enhance photon attenuation efficiency. Shielding behavior was evaluated over the photon energy range of 0.060–1.408 MeV using Geant4 Monte Carlo simulations and theoretical calculations performed with WinXCOM and Phy-X/PSD. Fundamental photon matter interaction parameters, including Mass attenuation coefficient (MAC), Linear attenuation coefficient (LAC), Half value layer (HVL), Tenth value layer (TVL), mean free path (MFP), atomic cross section (ACS), and electronic cross section (ECS), were determined and analyzed. The results show that increasing Fe55Ni28Co17 content significantly enhances the attenuation capability of the PCL/PLA matrix. Higher alloy loading yields increased MAC and LAC values and reduced HVL, TVL, and MFP values, indicating effective shielding with thinner material thickness. This improvement is most pronounced at low photon energies, where photoelectric absorption dominates. At intermediate energies, attenuation parameters converge due to Compton scattering, while at higher energies the influence of composition becomes limited. The close agreement between Geant4 simulations and theoretical calculations confirms the reliability of the results.

Keywords

References

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Details

Primary Language

English

Subjects

Condensed Matter Physics (Other)

Journal Section

Research Article

Publication Date

June 29, 2026

Submission Date

February 3, 2026

Acceptance Date

June 18, 2026

Published in Issue

Year 2026 Volume: 9 Number: 1

APA
Kaya, M. (2026). Monte Carlo Simulation of Gamma Ray Shielding Performance of Fe55Ni28Co17 Doped PCL/ PLA Composites Using Geant4. Journal of Physical Chemistry and Functional Materials, 9(1), 46-55. https://doi.org/10.54565/jphcfum.1881230
AMA
1.Kaya M. Monte Carlo Simulation of Gamma Ray Shielding Performance of Fe55Ni28Co17 Doped PCL/ PLA Composites Using Geant4. Journal of Physical Chemistry and Functional Materials. 2026;9(1):46-55. doi:10.54565/jphcfum.1881230
Chicago
Kaya, Mustafa. 2026. “Monte Carlo Simulation of Gamma Ray Shielding Performance of Fe55Ni28Co17 Doped PCL PLA Composites Using Geant4”. Journal of Physical Chemistry and Functional Materials 9 (1): 46-55. https://doi.org/10.54565/jphcfum.1881230.
EndNote
Kaya M (June 1, 2026) Monte Carlo Simulation of Gamma Ray Shielding Performance of Fe55Ni28Co17 Doped PCL/ PLA Composites Using Geant4. Journal of Physical Chemistry and Functional Materials 9 1 46–55.
IEEE
[1]M. Kaya, “Monte Carlo Simulation of Gamma Ray Shielding Performance of Fe55Ni28Co17 Doped PCL/ PLA Composites Using Geant4”, Journal of Physical Chemistry and Functional Materials, vol. 9, no. 1, pp. 46–55, June 2026, doi: 10.54565/jphcfum.1881230.
ISNAD
Kaya, Mustafa. “Monte Carlo Simulation of Gamma Ray Shielding Performance of Fe55Ni28Co17 Doped PCL PLA Composites Using Geant4”. Journal of Physical Chemistry and Functional Materials 9/1 (June 1, 2026): 46-55. https://doi.org/10.54565/jphcfum.1881230.
JAMA
1.Kaya M. Monte Carlo Simulation of Gamma Ray Shielding Performance of Fe55Ni28Co17 Doped PCL/ PLA Composites Using Geant4. Journal of Physical Chemistry and Functional Materials. 2026;9:46–55.
MLA
Kaya, Mustafa. “Monte Carlo Simulation of Gamma Ray Shielding Performance of Fe55Ni28Co17 Doped PCL PLA Composites Using Geant4”. Journal of Physical Chemistry and Functional Materials, vol. 9, no. 1, June 2026, pp. 46-55, doi:10.54565/jphcfum.1881230.
Vancouver
1.Mustafa Kaya. Monte Carlo Simulation of Gamma Ray Shielding Performance of Fe55Ni28Co17 Doped PCL/ PLA Composites Using Geant4. Journal of Physical Chemistry and Functional Materials. 2026 Jun. 1;9(1):46-55. doi:10.54565/jphcfum.1881230

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