Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Shear Property of AZ31B Magnesium Alloy Prepared by Solid -state Recycling

Authors
Shuyan Wu, Zesheng Ji, Zhiqiu Huang, Tao Wang, Ying Lv, Ming Hu
Corresponding Author
Shuyan Wu
Available Online May 2018.
DOI
https://doi.org/10.2991/amcce-18.2018.108How to use a DOI?
Keywords
AZ31B magnesium alloy, solid-state recycling, extrusion ratio, shear strength, the bonding between chips
Abstract
AZ31B Magnesium alloy bars were prepared by solid-state recycling with different extruding ratio of 4:1, 11:1, 25:1, 44:1. Shear tests were conducted through designing and preparing shear specimens and fixture. The bonding between chips in recycled magnesium alloy by solid-state process was successfully characterized through measuring the shear strength along the extruding direction. The effect of extrusion ratio on the shear property of AZ31B magnesium alloys fabricated from chip was studied. In the investigated extrusion ratio range of 4:1 to 44:1, the shear strength along the extruding direction increases with the increasing extruding ratio. This is because recrystallization grain became small and mean, the bonding between chips converts from mechanical bonding to metallurgical bonding and the bonding between chips was enhanced when extruding ratio increase.
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Proceedings
2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Part of series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-508-5
ISSN
2352-5401
DOI
https://doi.org/10.2991/amcce-18.2018.108How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shuyan Wu
AU  - Zesheng Ji
AU  - Zhiqiu Huang
AU  - Tao Wang
AU  - Ying Lv
AU  - Ming Hu
PY  - 2018/05
DA  - 2018/05
TI  - Shear Property of AZ31B Magnesium Alloy Prepared by Solid -state Recycling
BT  - 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.108
DO  - https://doi.org/10.2991/amcce-18.2018.108
ID  - Wu2018/05
ER  -