Investigation on the Anisotropic Electrothermal Performance of Wood‐Based Graphene Electric Heating Composites

The unique material structure and pronounced anisotropy of wood bestow it with an array of remarkable properties, creating opportunities for designing functional materials. This study investigates the application of wood's anisotropic structure in temperature‐controlled intelligent electric heating materials by preparing wood‐based graphene electric heating composites (GNPs@EW). Graphene nanosheets (GNPs) are incorporated into a birch matrix (EW) to enhance the electrical and thermal conductivity of insulating wood. The integration of graphene with wood is confirmed through Fourier transform infrared spectrometer (FTIR) and X‐ray diffractometer (XRD) analysis. The optimal composite (GNPs@EW 1 ) is prepared with graphene‐to‐anhydrous ethanol mass ratio of 1:1. The results demonstrate the influence of wood's anisotropy on the electrical and thermal conductivity of the composites, revealing superior performance in the axial direction compared to the tangential direction. The resistivity of GNPs@EW 1 along the axial direction decreases by 2.1–2.9 times relative to the tangential direction, and the temperature rise after energization at 6 V is 22–29 °C higher in the axial direction. Furthermore, GNPs@EW 1 exhibits thermal stability, enhanced axial mechanical properties, and temperature uniformity, establishing these superior axial properties as a foundation for the development of wood‐based heating materials and innovative smart heating applications.

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Publication Details

Journal
Advanced Engineering Materials
Published
2025-02-05
DOI
https://doi.org/10.1002/adem.202402587
Citations
2
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
1.37

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article

Investigation on the Anisotropic Electrothermal Performance of Wood‐Based Graphene Electric Heating Composites

Bo Guan, Wen Qu, Xiaoyu Feng, Jun Yan Ge et al.
2 citations
Advanced Engineering Materials
Additive Manufacturing and 3D Printing Technologies
1.37
article

Investigation on the Anisotropic Electrothermal Performance of Wood‐Based Graphene Electric Heating Composites

Bo Guan, Wen Qu, Xiaoyu Feng, Jun Yan Ge, Shangru Zhou, Chunmei Yang, Xu Tang, Mengjiao Shi
article en
2 citations

Abstract

The unique material structure and pronounced anisotropy of wood bestow it with an array of remarkable properties, creating opportunities for designing functional materials. This study investigates the application of wood's anisotropic structure in temperature‐controlled intelligent electric heating materials by preparing wood‐based graphene electric heating composites (GNPs@EW). Graphene nanosheets (GNPs) are incorporated into a birch matrix (EW) to enhance the electrical and thermal conductivity of insulating wood. The integration of graphene with wood is confirmed through Fourier transform infrared spectrometer (FTIR) and X‐ray diffractometer (XRD) analysis. The optimal composite (GNPs@EW 1 ) is prepared with graphene‐to‐anhydrous ethanol mass ratio of 1:1. The results demonstrate the influence of wood's anisotropy on the electrical and thermal conductivity of the composites, revealing superior performance in the axial direction compared to the tangential direction. The resistivity of GNPs@EW 1 along the axial direction decreases by 2.1–2.9 times relative to the tangential direction, and the temperature rise after energization at 6 V is 22–29 °C higher in the axial direction. Furthermore, GNPs@EW 1 exhibits thermal stability, enhanced axial mechanical properties, and temperature uniformity, establishing these superior axial properties as a foundation for the development of wood‐based heating materials and innovative smart heating applications.

Advanced Engineering MaterialsVol. 27(7)
Northeast Forestry University (CN)
China Postdoctoral Science Foundation, Northeast Forestry University, Natural Science Foundation of Heilongjiang Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 22%
Additive Manufacturing and 3D Printing Technologies
1.37
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