A model for the electrical conductivity of peak-aged and overaged Al-Zn-Mg-Cu alloys
A model for the electrical conductivity of peak-aged and overaged Al-Zn-Mg-Cu alloys
A physically based model for the electrical conductivity of peak-aged and overaged Al-Zn-Mg-Cu (7xxx series) alloys is presented. The model includes calculations of the ?- and the S-phase solvus (using a regular-solution model), taking account of the capillary effect and ? coarsening. It takes account of the conductivity of grains (incorporating dissolved alloying elements, undissolved particles, and precipitates) and solute-depleted areas at the grain boundaries. Data from optical microscopy, differential scanning calorimetry (DSC), scanning electron microscopy (SEM) with energy-dispersive X-ray spectrometry (EDS), and transmission electron microscopy (TEM) are consistent with the model and its predictions. The model has been successfully used to fit and predict the conductivity data of a set of 7xxx alloys including both Zr-containing alloys and Cr-containing alloys under various aging conditions, achieving an accuracy of about 1 pct in predicting unseen conductivity data from this set of alloys.
899-911
Starink, M.J.
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Li, X.M.
e6343471-9722-407a-8bea-5b9a6bbf2d78
2003
Starink, M.J.
fe61a323-4e0c-49c7-91f0-4450e1ec1e51
Li, X.M.
e6343471-9722-407a-8bea-5b9a6bbf2d78
Starink, M.J. and Li, X.M.
(2003)
A model for the electrical conductivity of peak-aged and overaged Al-Zn-Mg-Cu alloys.
Metallurgical and Materials Transactions A, 34A (4), .
Abstract
A physically based model for the electrical conductivity of peak-aged and overaged Al-Zn-Mg-Cu (7xxx series) alloys is presented. The model includes calculations of the ?- and the S-phase solvus (using a regular-solution model), taking account of the capillary effect and ? coarsening. It takes account of the conductivity of grains (incorporating dissolved alloying elements, undissolved particles, and precipitates) and solute-depleted areas at the grain boundaries. Data from optical microscopy, differential scanning calorimetry (DSC), scanning electron microscopy (SEM) with energy-dispersive X-ray spectrometry (EDS), and transmission electron microscopy (TEM) are consistent with the model and its predictions. The model has been successfully used to fit and predict the conductivity data of a set of 7xxx alloys including both Zr-containing alloys and Cr-containing alloys under various aging conditions, achieving an accuracy of about 1 pct in predicting unseen conductivity data from this set of alloys.
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Starink_&_Li_Metall_Mater_Trans_2003.pdf
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Published date: 2003
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Local EPrints ID: 22453
URI: http://eprints.soton.ac.uk/id/eprint/22453
ISSN: 1073-5623
PURE UUID: 7450d315-418a-44bf-abc4-dae2c419bb07
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Date deposited: 24 Mar 2006
Last modified: 15 Mar 2024 06:38
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X.M. Li
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