Flow Stress Prediction of SiCp/Al Composites at Varying Strain Rates and Elevated Temperatures
作者： Zhanwei Yuan , Fuguo Li , Guoliang Ji , Huijuan Qiao , Jiang Li
DOI: 10.1007/S11665-013-0838-Y
关键词:
摘要: With isothermal compression tests in the Gleeble-3500 system, hot deformation behaviors of SiCp/Al composite were studied at a wide range temperatures from 623 K to 773 K, and strain rates ranging 0.001 s−1 10 s−1. Four different modeling methods such as modified Zerilli-Armstrong model, compensation Arrhenius-type double multivariate nonlinear regression (DMNR) artificial neural model (ANN) used predict flow stress. The suitability levels these models evaluated by contrasting both correlation coefficient R C average absolute relative error. results show that predictions four can adequately meet accuracy requirement according experimental data this composite. increasing numbers determined material constants complexity computing methods, predictability is enhanced. parameters selected ranges rate temperature have non-ignorable effect on predicted previous two while they slight influence DMNR ANN.
springer.com
harvard.edu
sci-hub.se 参考文章(30)
M. Rajamuthamilselvan, S. Ramanathan, Deformation Stability of Al 7075/20%SiC<sub>p</sub> (63 μm) Composites during Hot Compression Geomaterials. ,vol. 02, pp. 121- 127 ,(2012) , 10.4236/GM.2012.24017
Guoliang Ji, Fuguo Li, Qinghua Li, Huiqu Li, Zhi Li, A comparative study on Arrhenius-type constitutive model and artificial neural network model to predict high-temperature deformation behaviour in Aermet100 steel Materials Science and Engineering A-structural Materials Properties Microstructure and Processing. ,vol. 528, pp. 4774- 4782 ,(2011) , 10.1016/J.MSEA.2011.03.017
B. V. Radhakrishna Bhat, Y. R. Mahajan, Y. V. R. K. Prasad, Effect of volume fraction of SiC p reinforcement on the processing maps for 2124 Al matrix composites Metallurgical and Materials Transactions A-physical Metallurgy and Materials Science. ,vol. 31, pp. 629- 639 ,(2000) , 10.1007/S11661-000-0006-5
Akhtar S. Khan, Riqiang Liang, Behaviors of three BCC metal over a wide range of strain rates and temperatures: experiments and modeling International Journal of Plasticity. ,vol. 15, pp. 1089- 1109 ,(1999) , 10.1016/S0749-6419(99)00030-3
Yajing Yang, Fuguo Li, Zhanwei Yuan, Huijuan Qiao, A Modified Constitutive Equation for Aluminum Alloy Reinforced by Silicon Carbide Particles at Elevated Temperature Journal of Materials Engineering and Performance. ,vol. 22, pp. 2641- 2655 ,(2013) , 10.1007/S11665-013-0550-Y
Dipti Samantaray, Sumantra Mandal, Utpal Borah, A.K. Bhaduri, P.V. Sivaprasad, A thermo-viscoplastic constitutive model to predict elevated-temperature flow behaviour in a titanium-modified austenitic stainless steel Materials Science and Engineering A-structural Materials Properties Microstructure and Processing. ,vol. 526, pp. 1- 6 ,(2009) , 10.1016/J.MSEA.2009.08.009
U.F. Kocks, Realistic constitutive relations for metal plasticity Materials Science and Engineering A-structural Materials Properties Microstructure and Processing. ,vol. 317, pp. 181- 187 ,(2001) , 10.1016/S0921-5093(01)01174-1
Dipti Samantaray, Sumantra Mandal, A.K. Bhaduri, A comparative study on Johnson Cook, modified Zerilli–Armstrong and Arrhenius-type constitutive models to predict elevated temperature flow behaviour in modified 9Cr–1Mo steel Computational Materials Science. ,vol. 47, pp. 568- 576 ,(2009) , 10.1016/J.COMMATSCI.2009.09.025
Jun Cai, Fuguo Li, Taiying Liu, Bo Chen, Min He, Constitutive equations for elevated temperature flow stress of Ti–6Al–4V alloy considering the effect of strain Materials & Design. ,vol. 32, pp. 1144- 1151 ,(2011) , 10.1016/J.MATDES.2010.11.004
Sumantra Mandal, P.V. Sivaprasad, S. Venugopal, K.P.N. Murthy, Artificial neural network modeling to evaluate and predict the deformation behavior of stainless steel type AISI 304L during hot torsion soft computing. ,vol. 9, pp. 237- 244 ,(2009) , 10.1016/J.ASOC.2008.03.016