Microwave Absorption Performance of Durian-Husk-Derived Carbon Nanomaterials

The present research focuses on the development of highly efficient and lightweight electromagnetic wave (EMW) absorbers to address the growing issue of electromagnetic pollution. We investigate the use of carbon derived from biomass, specifically durian husks, to create carbon-based microwave absorbers with enhanced performance. A two-step process involving carbonization followed by potassium hydroxide (KOH) activation was employed to synthesize porous carbon materials. The microwave absorption properties were then analyzed using a vector network analyzer across a frequency range from 2 to 18 GHz, with a focus on key parameters such as reflection loss and complex permittivity. The sample, which was 2.0 mm thick and had 15% carbon nanomaterials mixed in with paraffin wax, had an optimal reflection loss of -30.8 dB at 12.8 GHz with an effective absorption bandwidth of 9.0 GHz, highlighting its strong electromagnetic wave absorption performance. The porous structure and large specific surface area significantly contributed to the material’s ability to absorb electromagnetic radiation. These findings highlight the potential of durian husk-derived carbon material as a highly effective and lightweight EMW absorber for practical applications.

Authors

Institutions

Publication Details

Journal
Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena
Published
2024-12-24
DOI
https://doi.org/10.4028/p-szeys7
Primary Topic
Electromagnetic wave absorption materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microwave Absorption Performance of Durian-Husk-Derived Carbon Nanomaterials

Quang Dat Tran, Ngoc Ngo, Thi Anh Xuan Chu, Vu Tung Nguyen et al.
Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena
Electromagnetic wave absorption materials
article

Microwave Absorption Performance of Durian-Husk-Derived Carbon Nanomaterials

Quang Dat Tran, Ngoc Ngo, Thi Anh Xuan Chu, Vu Tung Nguyen, Van Hoang Nguyen, Dinh Vi Le, Tuấn Anh Vũ, Xuan Tai Pham, Thi Thanh Huyen Nguyen, Nguyen Long Nguyen
article en

Abstract

The present research focuses on the development of highly efficient and lightweight electromagnetic wave (EMW) absorbers to address the growing issue of electromagnetic pollution. We investigate the use of carbon derived from biomass, specifically durian husks, to create carbon-based microwave absorbers with enhanced performance. A two-step process involving carbonization followed by potassium hydroxide (KOH) activation was employed to synthesize porous carbon materials. The microwave absorption properties were then analyzed using a vector network analyzer across a frequency range from 2 to 18 GHz, with a focus on key parameters such as reflection loss and complex permittivity. The sample, which was 2.0 mm thick and had 15% carbon nanomaterials mixed in with paraffin wax, had an optimal reflection loss of -30.8 dB at 12.8 GHz with an effective absorption bandwidth of 9.0 GHz, highlighting its strong electromagnetic wave absorption performance. The porous structure and large specific surface area significantly contributed to the material’s ability to absorb electromagnetic radiation. These findings highlight the potential of durian husk-derived carbon material as a highly effective and lightweight EMW absorber for practical applications.

Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomenaVol. 368
Le Quy Don Technical University (VN)
Openalex Percentile: Top 86%
Electromagnetic wave absorption materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.