Minimum grain size and compression mechanical behavior of polycrystalline graphene based carbon honeycombs: cell irregularity and grain size effect

Abstract The graphene-based carbon honeycombs (CHCs) possess excellent mechanical properties and various application, and attract intensive attention recently. However, the real CHCs in experiments have random cell shapes. The effects of polycrystalline and cell irregularity on the mechanical properties of CHCs are still unknow. Here, first, we investigated the minimum cell size stability with ideal cell wall in the polycrystalline graphene-based carbon honeycombs (PGCHs). Then, based on molecular dynamic simulations, the compression mechanical properties of four typical cell irregularity PGCHs are studied systematically, including the periodic regular graphene-based carbon honeycombs (RGCHs) with a zero-degree cell irregularity. Under in-plane compression, the Young’s modulus, initial peak stress, mean plateau stress, and per volume energy absorption W v of RGCHs and PGCHs decrease significantly with the increasing of the grain size, and show a pseudo Hall-Petch relation. The mean plateau stress and W v of PGCHs are higher than those of RGCHs. Under out-of-plane compression, grain size effect is also obviously. However, the influence of cell irregularity is very small and can be ignored. The results indicate that the Hall-Petch relations of polycrystalline material are dependent on both grain size and cell irregularity, and provide a theoretical guidance for real CHCs in engineering application.

Authors

Institutions

Publication Details

Journal
Chinese Physics B
Published
2025-10-14
DOI
https://doi.org/10.1088/1674-1056/ae12d1
Primary Topic
Carbon Nanotubes in Composites
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Minimum grain size and compression mechanical behavior of polycrystalline graphene based carbon honeycombs: cell irregularity and grain size effect

Jingjing Xing, Renliang Zhang, Yonggang Wang, Lijun Yi et al.
Chinese Physics B
Carbon Nanotubes in Composites
article

Minimum grain size and compression mechanical behavior of polycrystalline graphene based carbon honeycombs: cell irregularity and grain size effect

Jingjing Xing, Renliang Zhang, Yonggang Wang, Lijun Yi, S. Liu
article en

Abstract

Abstract The graphene-based carbon honeycombs (CHCs) possess excellent mechanical properties and various application, and attract intensive attention recently. However, the real CHCs in experiments have random cell shapes. The effects of polycrystalline and cell irregularity on the mechanical properties of CHCs are still unknow. Here, first, we investigated the minimum cell size stability with ideal cell wall in the polycrystalline graphene-based carbon honeycombs (PGCHs). Then, based on molecular dynamic simulations, the compression mechanical properties of four typical cell irregularity PGCHs are studied systematically, including the periodic regular graphene-based carbon honeycombs (RGCHs) with a zero-degree cell irregularity. Under in-plane compression, the Young’s modulus, initial peak stress, mean plateau stress, and per volume energy absorption W v of RGCHs and PGCHs decrease significantly with the increasing of the grain size, and show a pseudo Hall-Petch relation. The mean plateau stress and W v of PGCHs are higher than those of RGCHs. Under out-of-plane compression, grain size effect is also obviously. However, the influence of cell irregularity is very small and can be ignored. The results indicate that the Hall-Petch relations of polycrystalline material are dependent on both grain size and cell irregularity, and provide a theoretical guidance for real CHCs in engineering application.

Chinese Physics B
Ningbo University (CN), Yanshan University (CN)
Openalex Percentile: Top 77%
Carbon Nanotubes in Composites
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.