Theoretical prediction method of Young's modulus and yield strength of micron particle reinforced metal matrix composites at different temperatures

被引:15
作者
Dong, Pan [1 ,2 ]
Ma, Yanli [2 ]
Zhang, Xuyao [2 ]
He, Yi [2 ]
Zhao, Ziyuan [2 ]
Ma, Jianzuo [3 ]
Li, Weiguo [1 ,2 ]
Li, Yile [4 ]
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] Chongqing Ind Polytech Coll, Coll Mech Engn & Automation, Chongqing 401120, Peoples R China
[4] Southwest Univ, High Sch, Chongqing 400045, Peoples R China
关键词
Micron particle reinforced metal matrix; composites; Temperature dependent; Porosity; Grain boundary slip; Young 's modulus and yield strength; Prediction model; MECHANICAL-PROPERTIES; FRACTURE-TOUGHNESS; ALUMINUM; BEHAVIOR; NANOCOMPOSITES; MICROSTRUCTURE; TENSILE; MODEL; PERFORMANCE; EVOLUTION;
D O I
10.1016/j.compstruct.2023.117051
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
To begin with, a theoretical characterization model of temperature and porosity dependent Young's modulus for micron particle reinforced metal matrix composites is established by considering the evolution of properties of reinforced particles and metal matrix with temperature. Additionally, combining the existing strengthening mechanism theory and incorporating the influence of grain boundary slip on the related strengthening mecha-nism and the yield strength of metal matrix, a temperature dependent yield strength analysis model of micron particle reinforced metal matrix composites is proposed. These models only require material parameters at room temperature and temperature dependent specific heat capacity at constant pressure for application. In addition, the predicted results from these models are reasonable and consistent with measured results. Moreover, based on the established models, the effects of key material parameters and main mechanisms on Young's modulus and yield strength of composites and their variation with temperature are explored. Furthermore, the variation of various control mechanisms with the particle size and temperature is clarified. It lays a theoretical foundation for the development of micron particle reinforced metal matrix composites that are suitable for high-temperature environments and for the optimization of their key parameters.
引用
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页数:11
相关论文
共 41 条
[21]   A modified model for the prediction of yield strength of nano-ZrO2 particle-reinforced austenitic steel matrix nanocomposites [J].
Diler, Ege Anil .
MEASUREMENT, 2021, 180
[22]   Prediction of interfacial strength and failure mechanisms in particle-reinforced metal-matrix composites based on a micromechanical model [J].
Meng, Qinghua ;
Wang, Zhenqing .
ENGINEERING FRACTURE MECHANICS, 2015, 142 :170-183
[23]   PREDICTION OF HARDNESS AND ELECTRICAL PROPERTIES IN ZRB(2) PARTICLE REINFORCED METAL MATRIX COMPOSITES [J].
Ruzic, Jovana ;
Antanasijevic, Davor ;
Bozic, Dusan ;
Raic, Karlo .
METALLURGICAL & MATERIALS ENGINEERING, 2014, 20 (04) :255-260
[24]   Configuration feature extraction and mechanical properties prediction of particle reinforced metal matrix composites [J].
Lin, Zichang ;
Su, Yishi ;
Yang, Jingyu ;
Qiu, Caihao ;
Chai, Xushun ;
Liu, Xuyang ;
Ouyang, Qiubao ;
Zhang, Di .
COMPOSITES COMMUNICATIONS, 2023, 42
[25]   Effect of Metal Matrix Alloying on Mechanical Strength of Diamond Particle-Reinforced Aluminum Composites [J].
Zhang, Hailong ;
Wu, Jianhua ;
Zhang, Yang ;
Li, Jianwei ;
Wang, Xitao .
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2015, 24 (06) :2556-2562
[26]   Effect of Metal Matrix Alloying on Mechanical Strength of Diamond Particle-Reinforced Aluminum Composites [J].
Hailong Zhang ;
Jianhua Wu ;
Yang Zhang ;
Jianwei Li ;
Xitao Wang .
Journal of Materials Engineering and Performance, 2015, 24 :2556-2562
[27]   Comparison of Young's Modulus of Continuous and Aligned Lignocellulosic Jute and Mallow Fibers Reinforced Polyester Composites Determined Both Experimentally and from Theoretical Prediction Models [J].
Ribeiro, Mauricio Maia ;
Pinheiro, Miriane Alexandrino ;
Rodrigues, Jean da Silva ;
Ramos, Roberto Paulo Barbosa ;
Correa, Alessandro de Castro ;
Monteiro, Sergio Neves ;
da Silva, Alisson Clay Rios ;
Candido, Veronica Scarpini .
POLYMERS, 2022, 14 (03)
[28]   Considering Electrospun Nanofibers as a Filler Network in Electrospun Nanofiber-Reinforced Composites to Predict the Tensile Strength and Young's Modulus of Nanocomposites: A Modeling Study [J].
Gavande, Vishal ;
Nagappan, Saravanan ;
Lee, Won-Ki .
POLYMERS, 2022, 14 (24)
[29]   Strengths prediction of particulate reinforced metal matrix composites (PRMMCs) using direct method and artificial neural network [J].
Chen, Geng ;
Wang, Heyuan ;
Bezold, Alexander ;
Broeckmann, Christoph ;
Weichert, Dieter ;
Zhang, Lele .
COMPOSITE STRUCTURES, 2019, 223
[30]   Comparison of strength and Young modulus of aligned discontinuous fibre PLA composites obtained experimentally and from theoretical prediction models [J].
Efendy, M. G. Aruan ;
Pickering, K. L. .
COMPOSITE STRUCTURES, 2019, 208 (566-573) :566-573