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Author:

Hou, X. (Hou, X..) | Qi, P. (Qi, P..) | Li, B. (Li, B..) | Wen, S. (Wen, S..) | Wei, W. (Wei, W..) | Qi, Y. (Qi, Y..) | Yin, J. (Yin, J..) | Nie, Z. (Nie, Z..)

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EI Scopus SCIE

Abstract:

The precipitation and intergranular corrosion (IGC) behavior of Al–1.0Mg–0.6Si–Cu (wt.%) alloys with the addition of Cu ranged from 0.3 to 0.6 wt.% were investigated by optical microscope and transmission electron microscopy. The results indicated that the Cu addition significantly improves the hardness of the alloys during under-aging progress by accelerating the precipitation of GP zones. The addition of Cu has changed the composition of precipitation and facilitated the formation of β′′-Mg5Si6 precipitates with high density and fine distribution. When the Cu content is added to 0.6 wt.%, the type of precipitation has changed. In addition to the needle-shaped β′′ phase, a new-plate Q′ phase precipitated during peak-aging conditions. The 0.6 wt.% Cu alloy shows superior strength with tensile yield strength of 328 MPa, ultimate tensile strength of 368 MPa, and elongation of 16.0%. However, the IGC resistance decreased with the Cu content increasing from 0.3 to 0.6 wt.%, which mainly resulted from the segregation of Cu elements and the formation of continuous Q′ precipitates at the grain boundaries. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.

Keyword:

Mechanical properties Al–1.0Mg–0.6Si–Cu alloy Corrosion Aging hardening Precipitation behavior

Author Community:

  • [ 1 ] [Hou X.]Faculty of Materials and Manufacturing, National Engineering Laboratory for Industrial Big-Data Application Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Qi P.]Faculty of Materials and Manufacturing, National Engineering Laboratory for Industrial Big-Data Application Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Li B.]Faculty of Materials and Manufacturing, National Engineering Laboratory for Industrial Big-Data Application Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Wen S.]Faculty of Materials and Manufacturing, National Engineering Laboratory for Industrial Big-Data Application Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Wei W.]Faculty of Materials and Manufacturing, National Engineering Laboratory for Industrial Big-Data Application Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Qi Y.]Faculty of Materials and Manufacturing, National Engineering Laboratory for Industrial Big-Data Application Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Yin J.]Aerospace Research Institute of Materials and Processing Technology, Beijing, 100076, China
  • [ 8 ] [Nie Z.]Faculty of Materials and Manufacturing, National Engineering Laboratory for Industrial Big-Data Application Technology, Beijing University of Technology, Beijing, 100124, China

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Source :

Applied Physics A: Materials Science and Processing

ISSN: 0947-8396

Year: 2023

Issue: 4

Volume: 129

2 . 7 0 0

JCR@2022

ESI Discipline: PHYSICS;

ESI HC Threshold:17

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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