Abstract
Hybrid carbon nanotube–aluminum reinforced ZA27 composites under hot compressive forces were investigated in the temperature range of 473 – 523 K with strain rates of 0.01 – 10 s−1. From the experimental data, the flow stress curves for increasing strain exhibit typical flow behavior associated with dynamic recrystallization softening. A comparison of predictions from an artificial neural network model and the constitutive equations to describe the hot compressive behavior was performed. Relative errors varied from −4.14 % to 6.75 % for the artificial neural network model and from −15.93 % to 17.29 % using the constitutive equations. The results indicate that the artificial neural network model was more accurate and efficient in predicting hot compressive behavior.
References
[1] Y.Liu, H.Y.Li, H.F.Jiang, X.J.Su: Mater. Sci. Techol.29 (2013) 184. 10.1179/1743284712Y.0000000127Search in Google Scholar
[2] Y.Liu, H.Y.Li, H.F.Jiang, X.C.Lu: Trans. Nonferrous Met. Soc. China23 (2013) 642. 10.1016/S1003-6326(13)62511-XSearch in Google Scholar
[3] J.H.Wang, J.F.Huang, X.P.Su, C.J.Wu: Mater. Des.38 (2012) 133. 10.1016/j.matdes.2012.01.044Search in Google Scholar
[4] Y.H.Zhu, S.To, X.M.Liu, G.L.Hu: Metall. Mater. Trans. A42 (2011) 1933. 10.1007/s11661-010-0591-xSearch in Google Scholar
[5] A.M.K.Esawi, K.Morsi, A.Sayed, M.Taher, S.Lanka: Compos. Sci. Technol.70 (2010) 2237. 10.1016/j.compscitech.2010.05.004Search in Google Scholar
[6] H.J.Choi, J.H.Shin, D.H.Bae: Compos. Sci. Technol.71 (2011) 1699. 10.1016/j.compscitech.2011.07.013Search in Google Scholar
[7] H.J.Choi, G.B.Kwon, G.Y.Lee, D.H.Bae: Scr. Mater.59 (2008) 360. 10.1016/j.scriptamat.2008.04.006Search in Google Scholar
[8] C.S.Goh, J.Wei, L.C.Lee, M.Gupta: Compos. Sci. Technol.68 (2008) 1432. 10.1016/j.compscitech.2007.10.057Search in Google Scholar
[9] B.M.Praveen, T.V.Venkatesha, Y.N.Arthoba, K.Prashantha: Surf. Coat. Technol.2015 (2007) 5836. 10.1016/j.surfcoat.2006.10.034Search in Google Scholar
[10] M.H.Naia, J.Wei, M.Gupta: Mater. Des.60 (2014) 490. 10.1016/j.matdes.2014.04.011Search in Google Scholar
[11] M.K.Habibia, M.Paramsothy, A.M.S.Hamouda, M.Gupta: Compos. Sci. Technol.71 (2011) 734. 10.1016/j.compscitech.2011.01.021Search in Google Scholar
[12] M.K.Habibia, A.M.S.Hamouda, M.Gupta: Compos. Sci. Technol.72 (2012) 290. 10.1016/j.compscitech.2011.11.015Search in Google Scholar
[13] Y.C.Lin, M.S.Chen: J. Mater. Sci.44 (2009) 835. 10.1007/s10853-008-3074-3Search in Google Scholar
[14] D.Samantaray, S.Mandal, A.K.Bhaduri, S.Venugopal, P.V.Sivaprasad: Mater. Sci. Eng. A528 (2011) 1937. 10.1016/j.msea.2010.11.011Search in Google Scholar
[15] Z.L.Lu, Q.L.Pan, X.Y.Liu, Q.J.Qin, Y.B.He, S.F.Cao: Mech. Res. Commun.38 (2011) 192. 10.1016/j.mechrescom.2011.02.015Search in Google Scholar
[16] S.Mandal, V.Rakesh, P.V.Sivaprasad, S.Venugopal, K.V.Kasiviswanathan: Mater. Sci. Eng. A500 (2009) 114. 10.1016/j.msea.2008.09.019Search in Google Scholar
[17] D.Samantaray, S.Mandal, A.K.Bhaduri: Comput. Mater. Sci.47 (2009) 568. 10.1016/j.commatsci.2009.09.025Search in Google Scholar
[18] W.D.Song, J.G.Ning, X.N.Mao, H.P.Tang: Mater. Sci. Eng.A576 (2013) 280. 10.1016/j.msea.2013.04.014Search in Google Scholar
[19] Y.C.Lin, M.S.Chen, J.Zhong: Mater. Lett.62 (2008) 2132. 10.1016/j.matlet.2007.11.032Search in Google Scholar
[20] J.Cai, F.G.Li, T.Y.Liu, B.Chen, M.He: Mater. Des.32 (2011) 1144. 10.1016/j.matdes.2010.11.004Search in Google Scholar
[21] H.Y.Li, Y.Liu, X.C.Lu, X.J.Su: J. Mater. Sci.47 (2012) 5411. 10.1007/s10853-012-6427-xSearch in Google Scholar
[22] Y.C.Lin, X.Fang, Y.P.Wang: J. Mater. Sci.43 (2008) 5508. 10.1007/s10853-008-2832-6Search in Google Scholar
[23] N.S.Reddy, Y.H.Lee, C.H.Park, C.S.Lee: Mater. Sci. Eng. A49 (2008) 2276.Search in Google Scholar
[24] Y.Sun, W.D.Zeng, Y.Q.Zhao, X.M.Zhang, Y.Shu, Y.G.Zhou: Mater. Des.32 (2011) 1537. 10.1016/j.matdes.2010.10.004Search in Google Scholar
[25] C.H.Liao, H.Y.Wu, S.Y.Lee, F.J.Zhu, H.C.Liu, C.T.Wu: Mater. Sci. Eng. A565 (2013) 1. 10.1016/j.msea.2012.12.025Search in Google Scholar
[26] S.S.Zhou, K.K.Deng, J.C.Li, K.B.Nie, F.J.Xu, H.F.Zhou, J.F.Fan: Mater. Des.64 (2014) 177. 10.1016/j.matdes.2014.07.039Search in Google Scholar
[27] C.J.Lu, L.J.Huang, L.Geng, B.Kaveendran, Z.Z.Zheng, J.Zhang: Mater. Charact.104 (2015) 139. 10.1016/j.matchar.2015.03.036Search in Google Scholar
[28] C.Zener, J.H.Hollomon: J. Appl. Phys.15 (1944) 22. 10.1063/1.1707363Search in Google Scholar
[29] C.M.Sellars, W.J.McTegart: Acta Metall.14 (1966) 1136. 10.1016/0001-6160(66)90207-0Search in Google Scholar
[30] M.P.Phaniraj, A.K.Lahiri: J. Mater. Process. Technol.141 (2003) 219. 10.1016/S0924-0136(02)01123-8Search in Google Scholar
[31] S.Srinivasulu, A.Jain: Appl. Soft Comput.6 (2006) 295. 10.1016/j.asoc.2005.02.002Search in Google Scholar
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