Characteristic cyclic plastic deformation in ZK60 magnesium alloy-Reference-Cited by-同舟云学术

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Characteristic cyclic plastic deformation in ZK60 magnesium alloy

Published:2017-04 Issue: Volume:91 Page:25-47
ISSN:0749-6419
Container-title:International Journal of Plasticity
language:en
Short-container-title:International Journal of Plasticity

Author:

Dong Shuai,Yu Qin,Jiang Yanyao,Dong Jie,Wang Fenghua,Jin Li,Ding Wenjiang

Funder

National Ministry of Science and Technology

National Natural Science Foundation

Bao Steel of China

US National Science Foundation

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference103 articles.

1. Plastic anisotropy and the role of non-basal slip in magnesium alloy AZ31B;Agnew;Int. J. Plast.,2005

2. Application of texture simulation to understanding mechanical behavior of Mg and solid solution alloys containing Li or Y;Agnew;Acta Mater.,2001

3. The influences of extrusion and equal channel angular pressing (ECAP) processes on the fatigue behavior of AM60 magnesium alloy;Akbaripanah;Mater. Sci. Eng. A,2013

4. Cyclic axial and cyclic torsional behaviour of extruded AZ31B magnesium alloy;Albinmousa;Int. J. Fatigue,2011

5. Cyclic behaviour of wrought magnesium alloy under multiaxial load;Albinmousa;Int. J. Fatigue,2011

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1. Mechanical responses and deformation mechanisms in the AZ31 magnesium alloy during cyclic bending;International Journal of Mechanical Sciences;2024-08

2. Quantitative study on the influence of strain amplitude on deformation mechanisms and cracking modes during cyclic torsion of AZ31 magnesium alloy;Fatigue & Fracture of Engineering Materials & Structures;2024-06-05

3. Effects of pre-compression modes on mechanical properties and fatigue behaviors of rolled ZK60 magnesium alloy;International Journal of Fatigue;2024-06

4. High-speed deformation behaviour of 45° extruded magnesium alloy under quasi-in-situ conditions;Materials Science and Technology;2024-03-14

5. Accurate Finite Element Simulations of Dynamic Behaviour: Constitutive Models and Analysis with Deep Learning;Materials;2024-01-28

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