Issue 1, 2025

Preparation of layered carbon nitride/titanium-based metal skeleton materials and study on their electrorheological properties

Abstract

Background: as an intelligent material, electrorheological fluids (ERFs) comprise a suspension system consisting of dielectric particles and/or their composites dispersed in an insulating liquid. In this article, MOF/g-C3N4 composite nanoparticles were successfully synthesized and demonstrated an excellent ER effect. Methods: first, the precursor for g-C3N4 was synthesized using a high-temperature calcination method, followed by the in situ synthesis of MIL-125 (MOF-Ti) on the surface of layered graphitic carbon nitride using a solvothermal approach. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) analyses were used to reveal the presence of numerous MOF particles deposited onto the surfaces of layered g-C3N4 nanosheets. X-ray powder diffraction confirmed the growth of MOF particles on the g-C3N4 precursor. The chemical composition and states were characterized through Fourier-transform infrared (FT-IR) spectroscopy and X-ray photoelectron (XPS) analyses. Additionally, BET analysis indicated the presence of abundant pore structures in the MOF/g-C3N4 composite nanoparticles. Results: lastly, rheological and dielectric properties were investigated. The ER behavior demonstrated their excellent performance, with a 10 wt% mass fraction suspension of the MOF/g-C3N4-0.4 based composite material and dimethyl silicone oil exhibiting a yield stress of 300 Pa at 2 kV mm−1.

Graphical abstract: Preparation of layered carbon nitride/titanium-based metal skeleton materials and study on their electrorheological properties

Supplementary files

Article information

Article type
Paper
Submitted
24 Oct 2024
Accepted
25 Nov 2024
First published
27 Nov 2024

Soft Matter, 2025,21, 87-99

Preparation of layered carbon nitride/titanium-based metal skeleton materials and study on their electrorheological properties

L. Chen, X. Ji, H. Yan, L. Wang, Y. Lin, B. Wang and C. Hao, Soft Matter, 2025, 21, 87 DOI: 10.1039/D4SM01247J

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