Quantitative relationship between microstructure characteristics and fatigue parameters of A319 casting alloy-Reference-Cited by-同舟云学术

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Quantitative relationship between microstructure characteristics and fatigue parameters of A319 casting alloy

Published:2019-12-18 Issue:3 Volume:43 Page:605-616
ISSN:8756-758X
Container-title:Fatigue & Fracture of Engineering Materials & Structures
language:en
Short-container-title:Fatigue Fract Eng Mater Struct

Author:

Ge Bin¹²^ORCID,Liu Xiaoshan¹²,He Guoqiu¹²,Le Peiwen¹²,Wen Zhenzhen¹²,Wang Qigui³

Affiliation:

1. School of Material Science and EngineeringTongji University Shanghai 201804 China

2. Shanghai Key Laboratory for R&D and Application of Metallic Functional Materials Shanghai 201804 China

3. Materials Technology, Global Product GroupGeneral Motors Co. Pontiac MI 48340 USA

Funder

General Motors Corporation

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ffe.13170

Reference25 articles.

1. Cyclic deformation behavior of a cast aluminum alloy

2. Fatigue behavior and dislocation substructures for 6063 aluminum alloy under nonproportional loadings

3. Low cycle fatigue behavior of casting A319 alloy under two different aging conditions

4. Effect of casting conditions on aluminium metal quality

5. The effect of hot isostatic pressing on the fatigue behaviour of sand-cast A356-T6 and A204-T6 aluminum alloys

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2. Low cycle fatigue response and fracture mechanism in a novel Al-3.5Si-0.5Mg-0.4Cu casting alloy;Materials Today Communications;2023-08

3. A novel defect-based fatigue damage model coupled with an optimized neural network for high-cycle fatigue analysis of casting alloys with surface defect;International Journal of Fatigue;2023-05

4. A Review on Processing–Microstructure–Property Relationships of Al-Si Alloys: Recent Advances in Deformation Behavior;Metals;2023-03-17

5. A material constants estimation method for efficient elastic–plastic–creep simulation of aluminum alloys by effective utilization of stored test data;Mechanics of Time-Dependent Materials;2022-11-11

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