A novel prediction method for nanoplatelets content dependent yield strength of graphene nanoplatelets reinforced metal matrix composites at different temperatures

被引：4
作者：
Dong, Pan [1 ,2 ]
Yang, Mengqing [3 ]
Ma, Jianzuo [4 ]
Zheng, Shifeng [2 ]
Li, Weiguo [1 ,2 ]
Pi, Wenli [2 ]
机构：
[1] Chongqing Univ, State Key Lab Coal Mine Disaster Dynam & Control, Chongqing 400044, Peoples R China
[2] Chongqing Univ, Coll Aerosp Engn, Chongqing Key Lab Heterogeneous Mat Mech, Chongqing 400044, Peoples R China
[3] Beijing Inst Technol, Sch Mechatron Engn, State Key Lab Explos Sci & Technol, Beijing 100081, Peoples R China
[4] Chongqing Ind Polytech Coll, Coll Mech Engn & Automat, Chongqing 401120, Peoples R China
来源：
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING | 2024年 / 179卷
基金：
中国国家自然科学基金;
关键词：
A. Metal -matrix composites (MMCs); A; Graphene; B. High -temperature properties; C; Micro; -mechanics; MECHANICAL-PROPERTIES; GRAIN-SIZE; ALUMINUM; NANOCOMPOSITES; BEHAVIOR; MICROSTRUCTURE; PERFORMANCE; FABRICATION; STRESS; MODEL;
D O I：
10.1016/j.compositesa.2024.108038
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Especially, the quantitative relationship between the thickness and volume fraction of graphene and the grain size of graphene nanoplatelets reinforced metal matrix composites was revealed, based on which the influence of grain refinement, load transfer and dislocation strengthening on the yield strength of composites and their evolution with temperature was quantitatively characterized. Furthermore, by introducing the weakening effect of graphene agglomeration on associated control mechanism of yield strength, a prediction model of temperature dependent yield strength of graphene nanoplatelets reinforced metal matrix composites was established. The proposed prediction approach is verified by comparing the predictions with the experimental data in other literature. Moreover, using the established model, the quantitative effects of length and thickness of nanoplatelets on the yield strength of composites and their evolution with temperature were carried out. This research also provides an effective method for investigating the optimal volume fraction and failure volume fraction of added graphene.
引用
收藏
页数：11
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