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Quench sensitivity of Al-Mg-Si and Al-Zn-Mg-Cu alloys. Part 2: predictive modelling

Quench sensitivity of Al-Mg-Si and Al-Zn-Mg-Cu alloys. Part 2: predictive modelling
Quench sensitivity of Al-Mg-Si and Al-Zn-Mg-Cu alloys. Part 2: predictive modelling
During quenching of medium to high strength heat-treatable Al based alloys precipitation on defects such as grain boundaries is in practice nearly unavoidable, and the quench sensitivity generally increases with increasing content of main alloying elements. Also the minor alloying elements Zr, Mn and Cr, which form intermetallic particles of sizes typically in the range of 10-100 nm (termed ‘dispersoids’), strongly influence the quench sensitivity as those particles act as nucleation sites for the quench-induced phase. The latter particularly holds for incoherent dispersoids, whereby the dispersoids typically lose their coherence due to (local) recrystallization. A new model for quench-induced precipitation and the resulting yield strength in age hardened condition for Al-Mg-Si (6xxx) and Al-Zn-Mg (7xxx) alloys has been derived. The new model particularly incorporates recent improved models for diffusion-controlled reactions, the advances in modelling of the thermodynamics of complex alloy systems, as well as computationally efficient schemes for integrating these components. For the validation of the model, a range of experimental data is used which covers the microstructure on a range of length scales, the thermodynamics of the reactions and the resulting mechanical properties. This includes transmission electron microscopy (TEM), high resolution TEM (HRTEM), scanning electron microscopy, and high resolution fast and slow differential scanning calorimetry. The model shows a near perfect correspondence with data on all (>10) alloys studied extensively, and allows prediction of the influence of the major alloying elements and 3 dispersoid forming elements on quench sensitivity.
Starink, Marco J
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Milkereit, Benjamin
7fc4cf93-212a-4ba1-86d6-69934b194499
Zhang, Yong
a398822e-74d7-424e-8efc-bf8307927312
Rometsch, Paul A
fe6ce6e7-cc22-4cb6-ab3f-fc14ac41e018
Starink, Marco J
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Milkereit, Benjamin
7fc4cf93-212a-4ba1-86d6-69934b194499
Zhang, Yong
a398822e-74d7-424e-8efc-bf8307927312
Rometsch, Paul A
fe6ce6e7-cc22-4cb6-ab3f-fc14ac41e018

Starink, Marco J, Milkereit, Benjamin, Zhang, Yong and Rometsch, Paul A (2016) Quench sensitivity of Al-Mg-Si and Al-Zn-Mg-Cu alloys. Part 2: predictive modelling. Thermec 2016: International Conference on Processing & Manufacturing of Advanced Materials, Graz, Austria. 28 May - 02 Jun 2016.

Record type: Conference or Workshop Item (Other)

Abstract

During quenching of medium to high strength heat-treatable Al based alloys precipitation on defects such as grain boundaries is in practice nearly unavoidable, and the quench sensitivity generally increases with increasing content of main alloying elements. Also the minor alloying elements Zr, Mn and Cr, which form intermetallic particles of sizes typically in the range of 10-100 nm (termed ‘dispersoids’), strongly influence the quench sensitivity as those particles act as nucleation sites for the quench-induced phase. The latter particularly holds for incoherent dispersoids, whereby the dispersoids typically lose their coherence due to (local) recrystallization. A new model for quench-induced precipitation and the resulting yield strength in age hardened condition for Al-Mg-Si (6xxx) and Al-Zn-Mg (7xxx) alloys has been derived. The new model particularly incorporates recent improved models for diffusion-controlled reactions, the advances in modelling of the thermodynamics of complex alloy systems, as well as computationally efficient schemes for integrating these components. For the validation of the model, a range of experimental data is used which covers the microstructure on a range of length scales, the thermodynamics of the reactions and the resulting mechanical properties. This includes transmission electron microscopy (TEM), high resolution TEM (HRTEM), scanning electron microscopy, and high resolution fast and slow differential scanning calorimetry. The model shows a near perfect correspondence with data on all (>10) alloys studied extensively, and allows prediction of the influence of the major alloying elements and 3 dispersoid forming elements on quench sensitivity.

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More information

e-pub ahead of print date: 2016
Published date: 2016
Venue - Dates: Thermec 2016: International Conference on Processing & Manufacturing of Advanced Materials, Graz, Austria, 2016-05-28 - 2016-06-02
Organisations: Engineering Mats & Surface Engineerg Gp

Identifiers

Local EPrints ID: 396465
URI: http://eprints.soton.ac.uk/id/eprint/396465
PURE UUID: 5f30bc04-7ac6-4c24-b899-2178653850f1

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Date deposited: 07 Jun 2016 16:02
Last modified: 11 Dec 2021 10:43

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Contributors

Author: Marco J Starink
Author: Benjamin Milkereit
Author: Yong Zhang
Author: Paul A Rometsch

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