journal article·2023-09Open access

Micropore Evolution and Damage Behavior of Rapid‐Solidified Al–Zn–Mg–Cu Alloy during Hot Plastic Forming

Yan Zhao, Zhen Zhang, Lin Hou, Hailong Cong, Haichao Li

Advanced Engineering Materials· Volume 25· Issue 17

Abstract

Rapid‐solidified Al–Zn–Mg–Cu alloys possess widespread application prospects owing to their excellent properties, particularly high specific strength. Nevertheless, their further development for use as advanced structural parts is significantly limited by their intrinsic porosity. Herein, the flow stress subroutine and micropore evolution model are combined to predict the cracking and damage behavior of a rapidly solidified Al–Zn–Mg–Cu disk‐shaped part during hot forging. The results reveal that the damage to the part during plastic forming is inversely proportional to the relative density. Reasonable matching between the height‐to‐diameter ratio (H/D) and the initial relative density is the key factor in avoiding cracking and damage to the part. The closure sequence of the micropores is from the center to the outside of the billet. A billet with an H/D of 1 and initial relative density of 0.95 can reach full density after forming, and a damage‐free part can be obtained. These simulation results are verified by analyzing the microstructural characteristics and mechanical properties of the actual forged part.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Metallurgy and Material Forming · Aluminum Alloy Microstructure Properties · Metal Forming Simulation Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Materials Science and Engineering Shanghai University of Engineering Science Shanghai 201620 China

Funding

National Natural Science Foundation of China

References (36)

Show source-provided references
1. 10.1002/adem.20220128810.1002/adem.202201288 ↗
2. 10.1016/j.msea.2022.14372110.1016/j.msea.2022.143721 ↗
3. 10.3390/cryst1202018110.3390/cryst12020181 ↗
4. Wang Y. · Rare Met. Mater. Eng. · 2021 · 50 · 3910
5. 10.1080/09500839.2021.199869010.1080/09500839.2021.1998690 ↗
6. 10.1016/j.jallcom.2017.05.10110.1016/j.jallcom.2017.05.101 ↗
7. 10.1016/j.jallcom.2014.02.12610.1016/j.jallcom.2014.02.126 ↗
8. 10.1557/jmr.2017.15210.1557/jmr.2017.152 ↗
9. Crété J. · Comput. Methods Appl. Math. · 2014 · 275 · 204
10. 10.1016/0167-6636(84)90013-910.1016/0167-6636(84)90013-9 ↗
11. 10.1177/105678951664003710.1177/1056789516640037 ↗
12. 10.1016/j.msea.2004.08.04610.1016/j.msea.2004.08.046 ↗
13. German R. · 2014
14. 10.1016/j.commatsci.2014.02.04110.1016/j.commatsci.2014.02.041 ↗
15. 10.1016/0378-3804(86)90043-410.1016/0378-3804(86)90043-4 ↗
16. 10.1016/j.jmatprotec.2006.04.10210.1016/j.jmatprotec.2006.04.102 ↗
17. 10.1142/S021798491150012610.1142/S0217984911500126 ↗
18. 10.1016/j.jmatprotec.2009.09.02210.1016/j.jmatprotec.2009.09.022 ↗
19. Jiang Z. · J. Plast. Eng. · 2005 · 47 · 4015
20. 10.4028/www.scientific.net/AMR.668.35110.4028/www.scientific.net/AMR.668.351 ↗
21. 10.1007/s00170-014-6234-410.1007/s00170-014-6234-4 ↗
22. 10.1016/j.scriptamat.2012.04.04010.1016/j.scriptamat.2012.04.040 ↗
23. 10.1016/0921-5093(94)09714-310.1016/0921-5093(94)09714-3 ↗
24. 10.1016/S0921-5093(01)01117-010.1016/S0921-5093(01)01117-0 ↗
25. 10.1016/j.matchar.2008.12.01210.1016/j.matchar.2008.12.012 ↗
26. 10.1016/j.matdes.2011.05.04010.1016/j.matdes.2011.05.040 ↗
27. 10.1016/j.matdes.2013.06.05310.1016/j.matdes.2013.06.053 ↗
28. Sheppard T. · Mater. Sci. Eng. · 2013 · 13 · 203
29. 10.1007/BF0266156510.1007/BF02661565 ↗
30. 10.1016/0167-6636(82)90014-X10.1016/0167-6636(82)90014-X ↗
31. 10.1115/1.315774210.1115/1.3157742 ↗
32. 10.1016/0022-5096(84)90021-810.1016/0022-5096(84)90021-8 ↗
33. 10.1016/j.euromechsol.2005.03.00410.1016/j.euromechsol.2005.03.004 ↗
34. 10.1016/S0749-6419(95)00044-510.1016/S0749-6419(95)00044-5 ↗
35. 10.1007/s11661-017-4372-710.1007/s11661-017-4372-7 ↗
36. Cui Z. · J. Plast. Eng. · 2002 · 9 · 50