journal article·2022-10

Conductive network structure of MWCNTs-incorporated cobalt-zinc ferrite nanocomposite for enhanced electromagnetic shielding applications

Meenu Chahar, Vineet Sharma, O. P. Thakur

Journal of Nanoparticle Research· Volume 24· Issue 10
Publisher page

Abstract

Nanoparticles of pure Co0.5Zn0.5Fe2O4 and nano-composites of multi-walled carbon nanotubes (MWCNTs)–incorporated Co0.5Zn0.5Fe2O4 (CZFO) were successfully synthesized by adopting a facile co-precipitation technique. The structural and morphological studies were carried out using various advanced equipment. XRD confirmed the crystalline phase of the synthesized CZFO and hybrid CZFO/MWCNT samples. Further, FESEM and TEM confirmed that the porous and snowflake-like structured CZFO is strongly attached to MWCNTs with a varying size range of 6–12 nm. UV–Visible spectroscopy illustrated a small change in the bandgap from 1.9 to 2.1 eV with the increasing MWCNTs concentration, i.e., from 0 to 3 wt.% in the samples. The effect of the addition of MWCNTs over CZFO was investigated to determine the shielding effectiveness of the prepared material in the X-band frequency range. The shielding effectiveness for the incident EM radiations was found to lie in the range of 34.7 to 36.7 dB throughout the entire X-band for 3 wt.% MWCNTs doped CZFO nanocomposite. While the shielding effectiveness decreases with the decrease in MWCNTs concentration in the CZFO ferrite magnetic nanoparticles. Also, the skin depth for 3 wt.% CZFO/MWCNTs came out to 0.58 mm which is lesser than CZFO (i.e., 0.74 mm). The produced nanocomposites meet the global need for a lightweight, flexible, cost-effective, and thinner EMI shielding material with an EMI shielding of over 20 dB, which is the minimum criterion for EMI shielding applications in electronic devices. Graphical abstract
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Research context

OpenAlex topics: Electromagnetic wave absorption materials · Advancements in Battery Materials · Magnetic Properties and Synthesis of Ferrites

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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