A Novel Constraint Method During Solution Treatment to Suppress Heating Rate‐Dependent Martensitic Stabilization in Cu–17.0Al–10.5Mn Alloy
Source abstract
Abstract
Martensitic stabilization in copper‐based shape memory alloys can be suppressed by up‐quenching treatment through lowering vacancy concentration. Nevertheless, the up‐quenching time should be continuously extended to suppress martensitic stabilization as the recovery heating rate lowered. In terms of cost, it is not advisable to extend the up‐quenching time infinitely to suppress the heating rate‐dependent martensitic stabilization. In this paper, instead of eliminating vacancies through up‐quenching treatment, we focus on reducing vacancies from their origin, that is, the process of solution treatment. We investigate differences in the vacancy concentration and the resulting heating rate‐dependent martensitic stabilization in Cu–17.0Al–10.5Mn (at%) alloys subjected to solution treatment with and without constraint. The results show that the vacancy concentration in the unconstrained samples is remarkably lower than that in the constrained ones, leading to the suppression of heating rate‐dependent martensitic stabilization. We propose a novel constraint method during solution treatment avoiding shape change and suppressing martensitic stabilization simultaneously.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Shape Memory Alloy Transformations · Magnetic and transport properties of perovskites and related materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Machinery Manufacturing Technology China Academy of Engineering Physics Mianyang 621900 China
School of Manufacturing Science and Engineering Sichuan University Chengdu 610065 China
Analytical and Testing Center Sichuan University Chengdu 610064 China
Funding
National Natural Science Foundation of China
References (32)
Show source-provided references
1. 10.1002/1527-2648(200111)3:11<837::AID-ADEM837>3.0.CO;2-010.1002/1527-2648(200111)3:11<837::AID-ADEM837>3.0.CO;2-0 ↗
2. 10.1016/S1003-6326(14)63460-910.1016/S1003-6326(14)63460-9 ↗
3. 10.1016/j.matdes.2015.05.00110.1016/j.matdes.2015.05.001 ↗
4. 10.1016/j.matdes.2015.10.12510.1016/j.matdes.2015.10.125 ↗
5. 10.1016/j.jmatprotec.2006.03.11110.1016/j.jmatprotec.2006.03.111 ↗
6. Tadaki T. · 1998 · 97
7. 10.1016/0921-5093(89)90107-X10.1016/0921-5093(89)90107-X ↗
8. Scarsbrook G. · Metall. Trans. A · 1977 · 15
9. 10.1016/S0167-577X(02)00934-510.1016/S0167-577X(02)00934-5 ↗
10. 10.1016/j.msea.2004.02.00110.1016/j.msea.2004.02.001 ↗
11. 10.1016/S0025-5408(97)00006-810.1016/S0025-5408(97)00006-8 ↗
12. 10.1016/S0921-5093(03)00144-810.1016/S0921-5093(03)00144-8 ↗
13. 10.1080/0141159990820929810.1080/01411599908209298 ↗
14. 10.1103/PhysRevLett.85.101610.1103/PhysRevLett.85.1016 ↗
15. 10.1016/S0921-5093(00)01877-310.1016/S0921-5093(00)01877-3 ↗
16. 10.1016/j.actamat.2004.03.00910.1016/j.actamat.2004.03.009 ↗
17. 10.1016/j.actamat.2004.03.01010.1016/j.actamat.2004.03.010 ↗
18. 10.1007/BF0335094610.1007/BF03350946 ↗
19. 10.1016/S0924-0136(96)02691-X10.1016/S0924-0136(96)02691-X ↗
20. 10.1016/j.actamat.2016.04.00410.1016/j.actamat.2016.04.004 ↗
21. Gottstein G. · 2004 · 6510.1007/978-3-662-09291-0 ↗
22. Cao L. X. · Chin. Phys · 2092 · 15
23. 10.1063/1.471263210.1063/1.4712632 ↗
24. 10.1149/2.005403ssl10.1149/2.005403ssl ↗
25. 10.1016/S0921-5093(01)01566-010.1016/S0921-5093(01)01566-0 ↗
26. 10.1016/S1359-6454(96)00309-610.1016/S1359-6454(96)00309-6 ↗
27. 10.1016/S0921-5093(99)00434-710.1016/S0921-5093(99)00434-7 ↗
28. 10.1016/S1359-6454(00)00025-210.1016/S1359-6454(00)00025-2 ↗
29. 10.1016/j.actamat.2010.05.04810.1016/j.actamat.2010.05.048 ↗
30. 10.1016/j.msea.2005.12.06110.1016/j.msea.2005.12.061 ↗
31. 10.1051/jp4:200392710.1051/jp4:2003927 ↗
32. 10.1002/pssa.221133020810.1002/pssa.2211330208 ↗