| Record |
| Author |
Weng, Y.; Jia, Z.; Ding, L.; Muraishi, S.; Liu, Q. |
| Title |
Clustering behavior during natural aging and artificial aging in Al-Mg-Si alloys with different Ag and Cu addition |
Type |
A1 Journal article |
| Year |
2018 |
Publication |
Microstructure And Processing |
Abbreviated Journal |
Mat Sci Eng A-Struct |
| Volume |
732 |
Issue |
732 |
Pages  |
273-283 |
| Keywords |
A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT) |
| Abstract |
The effect of Ag and Cu addition on clustering behavior of Al-Mg-Si alloys during natural aging (NA) and artificial aging (AA) was investigated by hardness measurement, tensile test and atom probe tomography analysis. The results show that both Ag and Cu atoms could enter clusters and GP-zones, change the Mg/Si ratio and increase their volume fractions. Compared with the Al base alloy, the clusters in the Ag/Cu-added alloys more easily transform to beta" phases for size and compositional similarity, and the strengthening ability of these particles is enhanced by the increased volume fraction and shear modulus. In NA condition, Cu is greater in improving the volume fraction of clusters than Ag and thus produces higher T4 temper hardness. In AA condition, in contrary, Ag is more effective in facilitating the formation and growth of particles than Cu due to the stronger Ag-Mg interaction and the high diffusivity of Ag atoms in Al matrix, leading to highest hardening response. Compared to the Cu-added alloy, the Ag-added alloy shows higher precipitation kinetics during AA treatment and maintains a lower T4 temper hardness. |
| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
|
Place of Publication |
Lausanne |
Editor |
|
| Language |
|
Wos |
000441486100032 |
Publication Date |
2018-07-07 |
| Series Editor |
|
Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
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Edition |
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| ISSN |
0921-5093 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
| Impact Factor |
3.094 |
Times cited |
11 |
Open Access |
OpenAccess |
| Notes |
; This work was supported by the Special major R & D Projects for Key Technology Innovation of Key Industries in Chongqing (Grant no. cstc2017zdcy-zdzxX0006), the Fundamental Research Funds for the Central Universities of China (Grant no. 106112016CDJXZ338825 and 106112017CDJQJ308822) and the program of China Scholarships Council (No. 201706050125). ; |
Approved |
Most recent IF: 3.094 |
| Call Number |
UA @ lucian @ c:irua:153107 |
Serial |
5083 |
| Permanent link to this record |
