A Strain-Compensated Constitutive Model for Describing the Hot Compressive Deformation Behaviors of an Aged Inconel 718 Superalloy
Source abstract
Abstract
Abstract The hot deformation behaviors of an aged Inconel 718 superalloy are investigated by isothermal compression experiments at four strain rates and five deformation temperatures on a Gleeble-3500 thermo-mechanical simulator. The experimental results show that the true stresses are obviously affected by strain rate and deformation temperature. The true stress increases rapidly at the beginning of hot compressive deformation, which ascribes to the intense work hardening. The true stresses at high deformation temperatures are lower than those at lower deformation temperatures. The dynamic softening induced by DRX is weak at a relatively low deformation temperature. A strain-compensated Arrhenius-type constitutive equation linked with true stress, strain rate and deformation temperature is developed for the studied superalloy. The material constants ( \alpha , n, Q and A ) in the developed model are expressed as the functions of true strain. The flow stresses calculated by the developed constitutive equation are nicely consistent with the experimental ones, which confirms that the developed constitutive equation can accurately describe the hot deformation behaviors of the studied superalloy.
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Research context
OpenAlex topics: Metallurgy and Material Forming · High Temperature Alloys and Creep · Metal Forming Simulation Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical and Electrical Engineering , Central South University , Changsha 410083 , China
College of Automobile and Mechanical Engineering , Changsha University of Science and Technology , Changsha 410114 , China
School of Design , Northumbria University , Newcastle upon Tyne NE1 2SW , UK
References (37)
Show source-provided references
1. Y.C. Lin and X.M. Chen, Mater. Des., 32 (2011) 1733–1759.10.1016/j.matdes.2010.11.04810.1016/j.matdes.2010.11.048 ↗
2. D. Samantaray, S. Mandal and A.K. Bhaduri, Mater. Des., 31 (2010) 981–984.10.1016/j.matdes.2009.08.01210.1016/j.matdes.2009.08.012 ↗
3. D.X. Wen, Y.C. Lin and Y. Zhou, Vacuum, 141 (2017) 316–327.10.1016/j.vacuum.2017.04.03010.1016/j.vacuum.2017.04.030 ↗
4. Y.X. Liu, Y.C. Lin and Y. Zhou, Mater. Sci. Eng. A, 691 (2017) 88–99.10.1016/j.msea.2017.03.03910.1016/j.msea.2017.03.039 ↗
5. Y.Q. Jiang, Y.C. Lin, X.Y. Zhang, C. Chen, Q.W. Wang and G.D. Pang, Vacuum, 156 (2018) 187–197.10.1016/j.vacuum.2018.07.03410.1016/j.vacuum.2018.07.034 ↗
6. Y.C. Lin, J. Huang, H.B. Li and D.D. Chen, Vacuum, 157 (2018) 83–91.10.1016/j.vacuum.2018.08.02010.1016/j.vacuum.2018.08.020 ↗
7. Y.C. Lin, F. Wu, Q.W. Wang, D.D. Chen and S.K. Singh, Vacuum, 151 (2018) 283–293.10.1016/j.vacuum.2018.02.03410.1016/j.vacuum.2018.02.034 ↗
8. D.X. Wen, Y.C. Lin, X.H. Li and S.K. Singh, J. Alloy. Compd., 764 (2018) 1008–1020.10.1016/j.jallcom.2018.06.14610.1016/j.jallcom.2018.06.146 ↗
9. Y.C. Lin, S.C. Luo, L.X. Yin and J. Huang, J. Alloy. Compd., 739 (2018) 590–599.10.1016/j.jallcom.2017.12.27810.1016/j.jallcom.2017.12.278 ↗
10. D.G. He, Y.C. Lin, J. Huang and Y. Tang, Adv. Eng. Mater., 20 (2018) 1800129.10.1002/adem.20180012910.1002/adem.201870032 ↗
11. Y.C. Lin, S.C. Luo, X.Y. Jiang, Y. Tang, M.S. Chen and T. Nonferr, Metal Soc., 28 (2018) 592–603.10.1016/S1003-6326(18)64692-8 ↗
12. Y.C. Lin, W.Y. Dong, M. Zhou, D.X. Wen and D.D. Chen, Mater. Sci. Eng. A, 718 (2018) 165–172.10.1016/j.msea.2018.01.10910.1016/j.msea.2018.01.109 ↗
13. Y.C. Lin, M.S. Chen and J. Zhong, Comput. Mater. Sci., 42 (3) (2008) 470–477.10.1016/j.commatsci.2007.08.01110.1016/j.commatsci.2007.08.011 ↗
14. S. Kumar, D. Samantaray, U. Borah and A.K. Bhaduri, Trans. Indian Inst. Met., 70 (2017) 1857–1867.10.1007/s12666-016-0990-910.1007/s12666-016-0990-9 ↗
15. G.Z. Quan, J. Liu, A. Mao, B. Liu and J.S. Zhang, High Temp. Mater. Proc., 34 (2015) 643–650.10.1515/htmp-2014-0108 ↗
16. H.B. Li and Y.L. Feng, High Temp. Mater. Proc., 35 (2016) 55–64.10.1515/htmp-2014-0173 ↗
17. S. Mandal, V. Rakesh, P.V. Sivaprasad, S. Venugopal and K.V. Kasiviswanathan, Mater. Sci. Eng. A, 500 (2009) 114–121.10.1016/j.msea.2008.09.01910.1016/j.msea.2008.09.019 ↗
18. D.G. He, Y.C. Lin, J. Chen, D.D. Chen, J. Huang, Y. Tang and M.S. Chen, Mater. Des., 154 (2018) 51–62.10.1016/j.matdes.2018.05.02210.1016/j.matdes.2018.05.022 ↗
19. Y.C. Lin, J. Li, M.S. Chen, Y.X. Liu and Y.J. Liang, Neural Comput. Appl., 29 (2018) 1015–1023.10.1007/s00521-016-2635-7 ↗
20. L. Li and L. Wang, High Temp. Mater. Proc., 37 (2018) 411–424.10.1515/htmp-2016-0234
21. D.D. Chen, Y.C. Lin, Y. Zhou, M.S. Chen and D.X. Wen, J. Alloy. Compd., 708 (2017) 938–946.10.1016/j.jallcom.2017.03.02910.1016/j.jallcom.2017.03.029 ↗
22. M.S. Chen, Y.C. Lin, K.K. Li and J. Chen, Appl. Phys. A, 122 (2016) 869.10.1007/s00339-016-0371-610.1007/s00339-016-0371-6 ↗
23. Y.X. Liu and Y.C. Lin, High Temp. Mater. Proc. (2018). doi: 10.1515/htmp-2017-0096.10.1515/htmp-2017-0096 ↗
24. D.G. He, Y.C. Lin, X.Y. Jiang, L.X. Yin, L.H. Wang and Q. Wu, Mater. Des., 156 (2018) 262–271.10.1016/j.matdes.2018.06.05810.1016/j.matdes.2018.06.058 ↗
25. Y.C. Lin, H. Yang, Y.C. Xin and C.Z. Li, Mater. Charact., 144 (2018) 9–21.10.1016/j.matchar.2018.06.02910.1016/j.matchar.2018.06.029 ↗
26. Y.C. Lin, X.Y. Jiang, S.C. Luo and D.G. He, Mater. Des., 139 (2018) 16–24.10.1016/j.matdes.2017.10.06510.1016/j.matdes.2017.10.065 ↗
27. Y.C. Lin, M. He, M. Zhou, D.X. Wen and J. Chen, J. Mater. Eng. Perform., 24 (2015) 3527–3538.10.1007/s11665-015-1617-810.1007/s11665-015-1617-8 ↗
28. M. Azarbarmas, M. Aghaie-Khafri, J.M. Cabrera and J. Calvo, Mater. Des., 94 (2016) 28–38.10.1016/j.matdes.2015.12.15710.1016/j.matdes.2015.12.157 ↗
29. Y.C. Lin, D.X. Wen, J. Deng, G. Liu and J. Chen, Mater. Des., 59 (2014) 115–123.10.1016/j.matdes.2014.02.04110.1016/j.matdes.2014.02.041 ↗
30. X.M. Chen, Y.C. Lin, M.S. Chen, H.B. Li, D.X. Wen, J.L. Zhang and M. He, Mater. Des., 77 (2015) 41–49.10.1016/j.matdes.2015.04.00410.1016/j.matdes.2015.04.004 ↗
31. Y.C. Lin, D.G. He, M.S. Chen, X.M. Chen and C.Y. Zhao, Mater. Des., 97 (2016) 13–24.10.1016/j.matdes.2016.02.05210.1016/j.matdes.2016.02.052 ↗
32. Y.C. Lin, F.Q. Nong, X.M. Chen, D.D. Chen and M.S. Chen, Vacuum, 137 (2017) 104–114.10.1016/j.vacuum.2016.12.02210.1016/j.vacuum.2016.12.022 ↗
33. X.M. Chen, Y.C. Lin, D.X. Wen, J.L. Zhang and M. He, Mater. Des., 57 (2014) 568–577.10.1016/j.matdes.2013.12.07210.1016/j.matdes.2013.12.072 ↗
34. Y.H. Liu, Y.Q. Ning, X.M. Yang, Z.K. Yao and H.Z. Guo, Mater. Des., 95 (2016) 669–676.10.1016/j.matdes.2016.01.03210.1016/j.matdes.2016.01.032 ↗
35. S.Z. Najafi, A. Momeni, H.R. Jafarian and S. Ghadar, Mater. Charact., 132 (2017) 437–447.10.1016/j.matchar.2017.09.00910.1016/j.matchar.2017.09.009 ↗
36. C. Zener and J.H. Hollomon, J. Appl. Phys., 15 (1944) 22–32.10.1063/1.170736310.1063/1.1707363 ↗
37. Y.C. Lin, X.M. Chen, D.X. Wen and M.S. Chen, Comput. Mater. Sci., 83 (2014) 282–289.10.1016/j.commatsci.2013.11.00310.1016/j.commatsci.2013.11.003 ↗