journal article·2026-06Open access

Three‐Dimensional Highly Thermally Conductive Graphene Blocks by Multiscale Blending and Multistage Pressure Induction

Liyu Zhang, Haitao Hu, Xuan Li, Haihan Xu, Xiaoying Gao, Ruishi Lin, Yingze Meng, Jiaxin He, Shoujin Chang, Guoliang Ding

Carbon Energy· Volume 8· Issue 6

Abstract

ABSTRACT The thermal conductivity of graphene materials rapidly decreases with the increase of thickness, seriously hindering its application potential in high heat flow scenarios. Here, a novel strategy for synthesizing expandable‐thickness graphene block (GPB) with high thermal conductivity is proposed via multiscale blending and multistage pressure induction (MBP). The reduction of the in‐plane thermal conductivity with the increase of thickness of the proposed GPB‐MBP is lowered by more than 94% compared to existing graphene materials, and the maximum thickness of GPB‐MBP reaches 12.1 mm, which is more than 10 times that of the existing graphene materials. Compared with the thickest existing graphene material of 1.05 mm, the in‐plane thermal conductivity and cross‐plane thermal conductivity of GPB‐MBP are 4.7–7.4 times and 6.2–6.6 times higher, respectively. The maximum thermal diffusion ability of GPB‐MBP reaches 6.3 W/K, which is 8–53 times higher than that of existing graphene materials. Furthermore, the proportional relationship between in‐plane thermal conductivity and the logarithm of length was discovered on macroscopic graphene materials for the first time. The new strategy for synthesizing expandable‐thickness GPB offers a new approach for high‐heat‐flux thermal management.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Thermal properties of materials · Graphene research and applications · Thermal Radiation and Cooling Technologies

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

Affiliations

Institute of Refrigeration and Cryogenics Shanghai Jiao Tong University Shanghai China

Engineering Research Center of Solar Power and Refrigeration, School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China

Beijing Aerospace Automatic Control Institute Beijing China

Funding

National Natural Science Foundation of China

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