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High temperature performance of additively manufactured Al 2024 alloy: Constitutive modelling, dynamic recrystallization evolution and kinetics
被引:8
|作者:
Gairola, Saurabh
[1
]
Singh, Gaurav
[1
]
Jayaganthan, R.
[1
]
Ajay, Joe
[2
]
机构:
[1] Indian Inst Technol Madras, Ctr Excellence Mat & Mfg Futurist Mobil, Dept Engn Design, Addit Mfg Grp, Chennai 600036, India
[2] EOS India Branch Off, Sivananda Nagar Kolathur 36, Chennai 600099, India
来源:
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
|
2023年
/
25卷
关键词:
Hot deformation;
Additive manufacturing;
Al;
2024;
Flow stress;
Artificial neural network;
Microstructural characterization;
HOT DEFORMATION-BEHAVIOR;
ALUMINUM-ALLOY;
MICROSTRUCTURE;
STEEL;
D O I:
10.1016/j.jmrt.2023.06.102
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
The current study investigates the high-temperature deformation behaviour, and micro structural evolution of the laser powder bed fused, Ti modified Al 2024 alloy. The high temperature performance was evaluated using a hot compression test performed in the temperature range of 200-350 degrees C and strain rate range of 0.1-10 s-1. The flow behaviour at elevated temperatures at different strain rates can provide us insight into the high temperature application and can also be utilized for optimization of deformation-based post processing technique. The deformation-based post processing method utilizes work hardening to improve the mechanical properties and to reduce the inherent defect of additively manufactured parts, such as pores and lack of fusion. The optimal deformation conditions for these processes can be obtained from the processing map. The flow stress during different deformation conditions (strain, strain rate and temperature) was predicted using different phenomenological models such as Johnson-Cook (JC) model, strain compensated Arrhenius equation, and artificial neural network (ANN). The JC model was observed to be the least suited method in the current investigation, whereas the ANN method was observed to be best suited for predicting flow stress with an average absolute relative error of 0.5% and a correlation coefficient of 0.9998. Different deformation mechanisms such as dynamic recovery (DRV) and dynamic recrystallization (DRX) were investigated for different deformation conditions using empirical models, finite element analysis (FEA) and microstructural characterization using TEM, and EBSD. The primary DRX mechanism in the current study was observed to be continuous dynamic recrystallization or CDRX mechanism.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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页码:3425 / 3443
页数:19
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