Abstract
Conventional forging combined with subsequent heat treatments is a promising method for TA15 Ti-alloy to obtain a tri-modal microstructure with excellent mechanical properties. In this paper, a prediction model based on an improved back-propagation neural network was adopted to investigate the combinations of deformation temperature and degree at different strain rates and post-forging cooling modes. There exist reasonable combinations under a strain rate of 0.01 s−1 and air cooling or a strain rate of 0.1 s−1 and water quenching. The dependence of final microstructural feature parameters on forging parameters was obtained for the two cases. Targeting ideal tri-modal microstructure feature parameters, the allowable ranges of the forging parameters were obtained in reverse. The results show that the allowable ranges under a strain rate of 0.01 s−1 and air cooling are wider. This provides a guide to obtain a tri-modal microstructure by conventional forging combined with subsequent heat treatment during actual production.
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References
C. Wu, H. Yang, and H.W. Li, Trans. Nonferrous Met. Soc. China 24, 1819 (2014).
X.G. Fan, H. Yang, and P.F. Gao, Mater. Des. 51, 34 (2013).
P.F. Gao, G. Qin, X.X. Wang, Y.X. Li, M. Zhan, G.J. Li, and J.S. Li, Mater. Sci. Eng. A 739, 203 (2019).
Y.G. Zhou, W.D. Zeng, and H.Q. Yu, Mater. Sci. Eng. A 393, 204 (2005).
Z.C. Sun, F.X. Han, H.L. Wu, and H. Yang, J. Mater. Process. Technol. 229, 72 (2016).
J.C. Zhu, Y. Wang, Z.H. Lai, L. Han, and Y. Liu, China 200910073419.9 (2010)
P.F. Gao, H. Yang, X.G. Fan, and S.L. Yan, J. Mater. Process. Technol. 212, 2520 (2012).
Z. Sun, S. Guo, and H. Yang, Acta Mater. 61, 2057 (2013).
S.L. Semiatin, S.L. Knisley, P.N. Fagin, F. Zhang, and D.R. Barker, Metall. Mater. Trans. A 34, 2377 (2003).
S.I. Oh, S.L. Semiatin, and J.J. Jonas, Metall. Trans. A 23, 963 (1992).
X.G. Fan, Ph.D. thesis, Northwestern Polytechnical University (2012).
M. Jackson, R. Dashwood, L. Christodoulou, and H. Flower, Metall. Mater. Trans. A 36, 1317 (2005).
Z. Sun, H. Yang, and N. Sun, J. Mater. Eng. Perform. 21, 313 (2011).
P.F. Gao, X.G. Fan, and H. Yang, J. Mater. Process. Technol. 239, 160 (2017).
F. Warchomicka, M. Stockinger, and H.P. Degischer, J. Mater. Process. Technol. 177, 473 (2006).
J. Luo, S.F. Liu, and M.Q. Li, Mater. Charact. 108, 115 (2015).
X.G. Fan, H. Yang, P.F. Gao, and S.L. Yan, Mater. Sci. Eng. A 546, 46 (2012).
L. Shikai, X. Baiqing, and H. Songxiao, Rare Met. 26, 33 (2007).
C. Dong, Matlab Neural Network and Application (Beijing: Beijing National Defence Industry Press, 2005), p. 64.
Z. Sun, H. Wu, M. Wang, and J. Cao, Adv. Eng. Mater. 19, 1 (2017).
Z. Sun, X. Mao, H. Wu, H. Yang, and J. Li, Mater. Sci. Eng. A 654, 113 (2016).
X.Q. Wang, M.Sc. thesis, Northwestern Polytechnical University (2014).
Y.Y. Zong, D.B. Shan, and Y. Lu, J. Mater. Sci. 41, 3753 (2006).
P.F. Gao, H. Yang, and X.G. Fan, Mater. Des. 32, 2012 (2011).
J. Lin and T.A. Dean, J. Mater. Process. Technol. 167, 354 (2005).
M. Meng, X.G. Fan, H. Yang, L.G. Guo, M. Zhan, and P.F. Gao, J. Alloys Compd. 714, 294 (2017).
W. Yu, M. Li, and J. Luo, Rare Metal. Mater. Eng. 38, 19 (2009).
D. Hull and D.J. Bacon, Introduction to Dislocations, 5th ed. (Oxford: Elsevier, 2011).
T. Sheppard and J. Norley, Mater. Sci. Technol. 4, 903 (1988).
Y. Zhou, W. Zeng, and H. Yu, Eng. Sci. 3, 61 (2001).
X. Chen, Q. Fan, and X. Yang, Rare Metal. Mater. Eng. 41, 2123 (2012).
X. Ma, W. Zeng, F. Tian, and Y. Zhou, Mater. Sci. Eng. A 548, 6 (2012).
J. Xu, W. Zeng, Z. Jia, X. Sun, and J. Zhou, J. Alloys Compd. 618, 343 (2015).
S.L. Semiatin and T.R. Bieler, Acta Mater. 49, 3565 (2001).
B. Appolaire, L. Héricher, and E. Aeby-Gautier, Acta Mater. 53, 3001 (2005).
Acknowledgements
This work was supported by the National Natural Science Foundation of China [Grant No. 51675432]; and Project of Science, Technology and Innovation Commission of Shenzhen Municipality [Grant No. JCYJ20170815163436211].
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Sun, Z., Yin, Z., Cao, J. et al. Allowable Ranges of Conventional Forging Parameters Determination for TA15 Ti-Alloy to Obtain Tri-modal Microstructure Under Given Subsequent Heat Treatment. JOM 71, 4746–4757 (2019). https://doi.org/10.1007/s11837-019-03837-6
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DOI: https://doi.org/10.1007/s11837-019-03837-6