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  Prediction of Aging Kinetics and Yield Strength of 6063 Alloy

Sekhar, A. P., Nandy, S., Ray, K. K., & Das, D. (2019). Prediction of Aging Kinetics and Yield Strength of 6063 Alloy. Journal of Materials Engineering and Performance, 28(5), 2764-2778. doi:10.1007/s11665-019-04086-z.

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 Creators:
Sekhar, Aluru Praveen1, Author
Nandy, Supriya2, 3, Author           
Ray, Kalyan Kumar1, 2, Author
Das, Debdulal1, Author
Affiliations:
1Department of Metallurgy and Materials Engineering, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, 711103, India, ou_persistent22              
2Department of Metallurgy and Materials Engineering, Indian Institute of Engineering Science and Technology, Howrah 711103, India, ou_persistent22              
3Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863381              

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Free keywords: Age hardening; Aging of materials; Enzyme kinetics; Forecasting; Hardness; Kinetic parameters; Magnesium alloys; Models; Silicon alloys; Yield stress, Aa6063 alloys; Aging kinetics; Al-Mg-Si alloys; Artificial age hardening; Kinetic models; Strength values; Time duration; Wagner equations, Aluminum alloys
 Abstract: Bulk hardness and tensile properties of an AA6063 Al-Mg-Si alloy specimens subjected to artificial age-hardening treatment over a wide range of temperatures (373-523 K) and time durations (5 min to 60 days) have been determined and analyzed to predict complete aging kinetics and yield strength. The predictions have been made using simplified hardness-based models. The experimental results are used to generate kinetic models for under- and overaging regimes following the Johnson–Mehl–Avarami and the Lifshitz–Slyozov–Wagner equations, respectively. The obtained kinetic parameters are found to satisfactorily describe the overall aging kinetics of the Al-Mg-Si alloy. Additionally, relationship between the estimated hardness and the yield strength values of the AA6063 alloy has been established and its utility has been validated. The developed hardness-based models can be used as convenient tool to determine the state of aging and to predict the yield strength of Al-Mg-Si alloy. © 2019, ASM International.

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Language(s): eng - English
 Dates: 2019-05-10
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/s11665-019-04086-z
 Degree: -

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Title: Journal of Materials Engineering and Performance
  Abbreviation : J. Mater. Eng. Perform.
Source Genre: Journal
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Publ. Info: United States : Springer New York
Pages: - Volume / Issue: 28 (5) Sequence Number: - Start / End Page: 2764 - 2778 Identifier: ISSN: 10599495, 15441024
CoNE: https://pure.mpg.de/cone/journals/resource/10599495, 15441024