JOURNAL ARTICLE

Enhancing the mechanical and electrical properties of irradiated acrylonitrile butadiene rubber/magnetite nanocomposites for electromagnetic shielding applications.

  • Published In: Journal of Thermoplastic Composite Materials, 2025, v. 38, n. 4. P. 1334 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Mounir, Rania; El Zayat, MM; Sharaf, A; El-Gamal, AA 3 of 3

Abstract

This article focuses on the preparation and characterization of acrylonitrile butadiene rubber (NBR)/magnetite (Fe3O4) nanocomposites for electromagnetic interference (EMI) shielding applications. Fe3O4 nanoparticles, synthesized via co-precipitation and characterized by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM), and energy dispersive X-ray (EDX) analysis, were incorporated into NBR using a traditional roll mill. The study examined the effects of varying Fe3O4 content and gamma irradiation doses on the mechanical, electrical, and EMI shielding properties of the nanocomposites. Results showed that increasing Fe3O4 concentration and gamma irradiation improved tensile strength, electrical conductivity, and shielding effectiveness in the X-band frequency range (8–12 GHz), with optimal performance observed at 10 phr Fe3O4 and 50 kGy irradiation. The findings suggest that NBR/Fe3O4 nanocomposites, enhanced by gamma irradiation, offer a lightweight, flexible, and corrosion-resistant alternative for EMI shielding materials.

Additional Information

  • Source:Journal of Thermoplastic Composite Materials. 2025/04, Vol. 38, Issue 4, p1334
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2025
  • ISSN:0892-7057
  • DOI:10.1177/08927057241270832
  • Accession Number:183891711
  • Copyright Statement:Copyright of Journal of Thermoplastic Composite Materials is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.