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Influence of the deformation heating on the flow behavior of 6063 alloy during compression at medium strain rates

  • Shikang Li (a1), Luoxing Li (a1), Hong He (a2) and Guan Wang (a3)


The flow softening behavior caused by deformation heating of the 6063 aluminum alloy was investigated employing uniaxial compression tests. The adiabatic correction factor (η) and mechanical work partitioning factor (φ), commonly considered to be constant, were found to be highly variable at medium strain rates, namely from 0.01 to 10 s−1. η decreased with increasing strain and decreasing strain rate, but it was relatively not sensitive to temperature. φ, traditionally taken to be a constant of 0–10%, was found to vary from 2.8% at a temperature of 623 K and a strain rate of 10 s−1 to 26.8% at a temperature of 773 K with a strain rate of 0.01 s−1. An expression for temperature rise involving these two variable factors was optimized. FEM simulation using the corrected and uncorrected true stress–strain curves and corresponding extrusion experiment were carried out. Comparisons between the simulated and experimental results confirmed the temperature compensation was trustable.


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1.Peng, L., Xu, Z., Gao, Z., and Fu, M.: A constitutive model for metal plastic deformation at micro/meso scale with consideration of grain orientation and its evolution. Int. J. Mech. Sci. 138, 74 (2018).
2.Zhang, J., Di, H., Wang, X., Cao, Y., Zhang, J., and Ma, T.: Constitutive analysis of the hot deformation behavior of Fe–23Mn–2Al–0.2C twinning induced plasticity steel in consideration of strain. Mater. Des. 44, 354 (2013).
3.Rokni, M.R., Widener, C.A., Champagne, V.K., Crawford, G.A., and Nutt, S.R.: The effects of heat treatment on 7075Al cold spray deposits. Surf. Coat. Technol. 310, 278 (2017).
4.Dadras, P. and Thomas, J.F.: Characterization and modeling for forging deformation of Ti–6Ai–2Sn–4Zr–2Mo–0.1Si. Metall. Trans. A 12, 1867 (1981).
5.Charpentier, P.L., Stone, B.C., Ernst, S.C., and Thomas, J.F.: Characterization and modeling of the high temperature flow behavior of aluminum alloy 2024. Metall. Trans. A 17, 2227 (1986).
6.Goetz, R.L. and Semiatin, S.L.: The adiabatic correction factor for deformation heating during the uniaxial compression test. J. Mater. Eng. Perform. 10, 710 (2001).
7.Wang, S., Hou, L.G., Luo, J.R., Zhang, J.S., and Zhuang, L.Z.: Characterization of hot workability in AA 7050 aluminum alloy using activation energy and 3-D processing map. J. Mater. Process. Technol. 225, 110 (2015).
8.Park, S.Y. and Kim, W.J.: Difference in the hot compressive behavior and processing maps between the as-cast and homogenized Al–Zn–Mg–Cu (7075) alloys. J. Mater. Sci. Technol. 32, 660 (2016).
9.Gottstein, G., Frommert, M., Goerdeler, M., and Schäfer, N.: Prediction of the critical conditions for dynamic recrystallization in the austenitic steel 800H. Mater. Sci. Eng., A 387, 604 (2004).
10.Chen, J., Liu, Y., Liu, C., Zhou, X., and Li, H.: Study on microstructure evolution and constitutive modeling for hot deformation behavior of a low-carbon RAFM steel. J. Mater. Res. 32, 1376 (2017).
11.Zhong, L., Gao, W., Feng, Z., Lu, Z., and Mao, G.: Microstructure characteristics and constitutive modeling for elevated temperature flow behavior of Al–Cu–Li X2A66 alloy. J. Mater. Res. 33, 1 (2017).
12.Zhou, Y., Liu, Y., Zhou, X., Liu, C., Yu, L., and Li, C.: Processing maps and microstructural evolution of the type 347H austenitic heat-resistant stainless steel. J. Mater. Res. 30, 2090 (2015).
13.Prasad, Y.V.R.K., Sastry, D.H., and Deevi, S.C.: Processing maps for hot working of a P/M iron aluminide alloy. Intermetallics 8, 1067 (2000).
14.Ghasemi, E., Zarei-Hanzaki, A., Farabi, E., Tesař, K., Jäger, A., and Rezaee, M.: Flow softening and dynamic recrystallization behavior of BT9 titanium alloy: A study using process map development. J. Alloys Compd. 695, 1706 (2017).
15.Prasad, Y.V.R.K.: Author’s reply: Dynamic materials model: Basis and principles. Metall. Mater. Trans. A 27, 235 (1996).
16.Murty, S.V.S.N., Rao, B.N., and Kashyap, B.P.: On the hot working characteristics of 2014Al–20 vol% Al2O3 metal matrix composite. J. Mater. Process. Technol. 166, 279 (2005).
17.Luo, J., Li, M.Q., and Ma, D.W.: The deformation behavior and processing maps in the isothermal compression of 7A09 aluminum alloy. Mater. Sci. Eng., A 532, 548 (2012).
18.Rath, B.B. and Pande, C.S.: Recovery of low-temperature flow stress in zone-refined aluminum single crystals. Acta Mater. 61, 3735 (2013).
19.Zhang, H., Jiang, F., Shang, X., and Li, L.: Flow stress and microstructural evolution of the horizontal continuous casting Al–0.96Mn–0.38Si–0.18Fe alloy during hot compression. Mater. Sci. Eng., A 571, 25 (2013).
20.Zhang, H., Li, L., Yuan, D., and Peng, D.: Hot deformation behavior of the new Al–Mg–Si–Cu aluminum alloy during compression at elevated temperatures. Mater. Charact. 58, 168173 (2007).
21.Wang, S., Luo, J.R., Hou, L.G., Zhang, J.S., and Zhuang, L.Z.: Physically based constitutive analysis and microstructural evolution of AA7050 aluminum alloy during hot compression. Mater. Des. 107, 277 (2016).
22.Yang, Q., Deng, Z., Zhang, Z., Liu, Q., Jia, Z., and Huang, G.: Effects of strain rate on flow stress behavior and dynamic recrystallization mechanism of Al–Zn–Mg–Cu aluminum alloy during hot deformation. Mater. Sci. Eng., A 662, 204 (2016).
23.Krishna, S.A.M., Shridhar, T.N., and Krishnamurthy, L.: Microstructural characterization and investigation of thermal conductivity behaviour of Al6061–SiC–Gr hybrid metal matrix composites. Int. J. Mater. Sci. 5, 353 (2016).
24.Mills, K.C.: Recommended Values of Thermophysical Properties for Selected Commercial Alloys, Vol. 105 (Woodhead Publishing Limited, Cambridge, England, 2002); p. 64.
25.Oh, S.I., Semiatin, S.L., and Jonas, J.J.: An analysis of the isothermal hot compression test. Metall. Trans. A 23, 963 (1992).
26.Luo, J., Li, M.Q., and Wu, B.: The correlation between flow behavior and microstructural evolution of 7050 aluminum alloy. Mater. Sci. Eng., A 530, 559 (2011).
27.Zhou, G., Li, Z., Li, D., Peng, Y., Zurob, H.S., and Wu, P.: A polycrystal plasticity based discontinuous dynamic recrystallization simulation method and its application to copper. Int. J. Plast. 91, 48 (2017).
28.Zamani, M., Dini, H., Svoboda, A., Lindgren, L.E., Seifeddine, S., Andersson, N.E., and Jarfors, A.E.W.: A dislocation density based constitutive model for as-cast Al–Si alloys: Effect of temperature and microstructure. Int. J. Mech. Sci. 121, 164 (2017).
29.Pu, E., Zheng, W., Song, Z., Feng, H., and Dong, H.: Hot deformation characterization of nickel-based superalloy UNS10276 through processing map and microstructural studies. J. Alloys Compd. 694, 617 (2017).
30.Zhang, J. and Di, H.: Deformation heating and flow localization in Ti–15–3 metastable β titanium alloy subjected to high Z deformation. Mater. Sci. Eng., A 676, 506 (2016).
31.Jenab, A. and Taheri, A.K.: Experimental investigation of the hot deformation behavior of AA7075: Development and comparison of flow localization parameter and dynamic material model processing maps. Int. J. Mech. Sci. 78, 97 (2014).
32.Saxena, K.K., Pancholi, V., Jha, S.K., Chaudhari, G.P., Srivastava, D., and Dey, G.K.: A novel approach to understand the deformation behavior in two phase region using processing map. J. Alloys Compd. 706, 511 (2017).
33.Li, L., Zhou, J., and Duszczyk, J.: Determination of a constitutive relationship for AZ31B magnesium alloy and validation through comparison between simulated and real extrusion. J. Mater. Process. Technol. 172, 372 (2006).
34.Castellanos, J., Rieiro, I., Carsí, M., Muñoz, J., Mehtedi, M., and Ruano, O.A.: Analysis of adiabatic heating and its influence on the Garofalo equation parameters of a high nitrogen steel. Mater. Sci. Eng., A 517, 191 (2009).



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