Abstract
According to the escalating issue of electromagnetic pollution the preparation of electromagnetic wave (EMW) absorbing materials with wide absorption band, strong absorption capacity, light weight and thin width is currently pursued. The combination of magnetic and carbon-based composites as EMW-absorbing materials has attracted a wide attention. Metal-organic frameworks (MOFs) derivatives have become new EMW absorbing materials due to the tailored structure, high specific surface area and porosity. However, precisely controlling the carbon-based MOF derivatives to regulate permittivity poses a challenge. In this paper, carbon-based MOF derivatives with regular shape were prepared by room temperature standing and carbonization strategies. The microstructure and electromagnetic parameters of carbon-based MOF derivatives were regulated by adjusting the molar ratio of the organic trimesic acid to the ferrous chloride tetrahydrate. The Fe/C-2 possess minimum reflection loss (RLmin) −40.42 dB, matching thickness 4 mm, which is mainly due to the complementary effects of magnetic loss, dielectric loss, and suitable impedance matching. Moreover, the practical application of the absorbers was evaluated using radar cross-section (RCS) simulation, indicating the maximum RCS reduction value of Fe/C-2. The carbon-based MOF derivative absorber presented in this work can offer valuable insights for optimizing electromagnetic absorbers.
| Original language | English |
|---|---|
| Article number | 117786 |
| Journal | Materials Science and Engineering: B |
| Volume | 312 |
| DOIs | |
| State | Published - Feb 2025 |
| Externally published | Yes |
Keywords
- Electromagnetic wave absorption
- MOFs derivative
- Magnetic-dielectric synergistic
- Radar cross-section simulation
Fingerprint
Dive into the research topics of 'Application of carbon-based MOF derived Fe/C composites toward excellent microwave absorption'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver