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Optimization and Simulation of Deformation Parameters of SiC/2009Al Composites |
MA Kai1,2,ZHANG Xingxing1,WANG Dong1,WANG Quanzhao1,LIU Zhenyu1,XIAO Bolv1( ),MA Zongyi1 |
1. Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China 2. School of Materials Science and Engineering, University of Science and Technology of China, Shenyang 110016, China |
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Cite this article:
MA Kai, ZHANG Xingxing, WANG Dong, WANG Quanzhao, LIU Zhenyu, XIAO Bolv, MA Zongyi. Optimization and Simulation of Deformation Parameters of SiC/2009Al Composites. Acta Metall Sin, 2019, 55(10): 1329-1337.
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Abstract Particle reinforced aluminum matrix composites (PRAMCs) have the advantages of high specific strength and high specific modulus, and are important engineering materials for aerospace field. However, due to the huge difference in the mechanical properties between the reinforcements and the aluminum matrixes, the plastic forming of PRAMCs is quite difficult, which restricts their wide engineering applications. In order to improve the quality of plastic processing, it is necessary to optimize deformation parameters of PRAMCs. In this study, the hot deformation parameters of a 15%SiC/2009Al composite fabricated by powder metallurgy were optimized using a simulation method. Firstly, true stress-strain curves of the SiC/2009Al composite were obtained through hot compression tests, and then the strain rate sensitivity index (m) map at the ultimate strain was established. Under the deformation parameters corresponding to various m values, the finite element simulation of the hot compression process was carried out. The flow stress, strain and damage coefficient distribution of the hot-compressed samples were analyzed. The results show that it is reliable to use the m value as the basis for optimizing the processing parameters, which were further verified by the microstructural observations. The deformation temperature and strain rate corresponding to the optimum parameters of the composite were determined to be 500 ℃ and 0.01 s-1, respectively.
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Received: 24 January 2019
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Fund: Supported by National Key Research and Development Program of China(2017YFB0703104);National Natural Science Foundation of China(51871214);National Natural Science Foundation of China(U1508216) |
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