Numerical modeling of the thermo-mechanical behavior of particle reinforced metal matrix composites in laser forming by using a multi-particle cell model

被引:21
作者
Liu, F. R. [1 ]
Chan, K. C. [1 ]
Tang, C. Y. [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Adv Mfg Technol Res Ctr, Hong Kong, Hong Kong, Peoples R China
关键词
metal-matrix composites; finite element analysis; laser forming;
D O I
10.1016/j.compscitech.2007.03.037
中图分类号
TB33 [复合材料];
学科分类号
摘要
In this paper, a three-dimensional finite element method integrated with a multi-particle cell (MPC) model is developed to examine the effect of particle distribution on deformation behavior of a particle reinforced metal matrix composite A16092/25%SiCp in laser forming. Thirty identical elastic spheres are generated to be embedded in an elasto-plastic matrix and the interface between the particle and matrix is assumed perfect. The thermo-mechanical properties of the particle reinforced metal matrix composite (PMMCs), including the thermal conductivity, the coefficient of thermal expansion and the mechanical properties are determined by MPC model. Based on the predicted properties, the deformation behavior involving temperature/structural fields and final bending angles of the composite under different spatial arrangements of reinforcements is examined during laser forming. A comparison between the MPC and the simple cubic cell (SCC) models is made, and the significance of the findings will be discussed in the paper. (c) 2008 Published by Elsevier Ltd.
引用
收藏
页码:1943 / 1953
页数:11
相关论文
共 32 条
[1]  
[Anonymous], 1992, SMITHELLS METALS REF
[2]   Micromechanical modelling of the static and cyclic loading of an Al2124-SiC MMC [J].
Bruzzi, MS ;
McHugh, PE ;
O'Rourke, F ;
Linder, T .
INTERNATIONAL JOURNAL OF PLASTICITY, 2001, 17 (04) :565-599
[3]   Laser bending of an A16013/SiCp aluminium matrix composite sheet [J].
Chan, KC ;
Liang, J .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2000, 100 (1-3) :214-218
[4]   Microstructure integrated modeling of multiscan laser forming [J].
Cheng, J ;
Yao, YL .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2002, 124 (02) :379-388
[5]  
Cheng J, 2001, J MANUF PROCESS, V3, P60
[6]   Using neural networks to predict bending angle of sheet metal formed by laser [J].
Cheng, PJ ;
Lin, SC .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2000, 40 (08) :1185-1197
[7]  
DAVID EA, 2001, ASM HDB, V21, P841
[8]  
ESHELBY JD, 1957, P ROYAL SOC A, V241, P296
[9]  
Geiger M, 1993, ANN CIRP, V42, P301, DOI DOI 10.1016/S0007-8506(07)62448-2