journal article·2024-10

Strength-ductility synergy of a laser welded 7085Al matrix nanocomposite joint: Interaction between ZrB2, Al3(Er, Zr) nanoparticles and MgZn2 precipitates

Xu Gao, Xizhou Kai, Chengchao Du, Kelun Sun, Hanfei Zhu, Yutao Zhao

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Abstract

The dissolution and coarsening of precipitates during welding thermal cycle weakened mechanical properties of 7xxx Al alloy joints. In this work, ZrB 2 ceramic nanoparticles and core-shell structured Al 3(Er, Zr) (L1 2 ) with high thermal stability were introduced to synergistically enhance the mechanical property of laser welded 7085Al nanocomposite joint, and the interaction between ZrB 2, Al 3 (Er, Zr) nanoparticles and MgZn 2 precipitates was analyzed. The results showed that grain boundaries were covered by fine precipitates with discrete distribution under the action of ZrB 2 and Al 3 (Er, Zr). The interface coherency of ZrB 2/Al and Al 3(Er, Zr)/Al was improved by introducing highly coherent MgZn 2 precipitates to form coherent multi-interfaces of ZrB 2/MgZn 2/Al and Al 3(Er, Zr)/MgZn 2 /Al. The ultimate tensile strength and uniform elongation of ZrB 2 /7085Al-Er nanocomposite joint were 678.9 MPa and 18.5 %, with a 36.6 % and 55.5 % increase as compared to 7085Al counterpart. The reinforced grain boundary can prevent strain localization here and allow the activation of high density of dislocations within grains. The higher interface coherency could effectively promote the dislocation multiplication and dislocation annihilation, relieving stress concentration at semi-coherent interface caused by dislocation pile-up. Finally, the strength-ductility synergy was achieved in ZrB 2 /7085Al-Er nanocomposite joint by strengthening grain boundary and tailoring interface structure.
Source: expertdata · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Aluminum Alloys Composites Properties · Microstructure and mechanical properties · Aluminum Alloy Microstructure Properties

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

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