One-stage and two-stage aging of dense and lean 6000 alloys

Abstract In this work, we analyze the natural aging sensitivity of the Al–Mg–Si(–Cu )(6000) alloy family. We revisit old literature and show that the different aging behavior commonly observed in lean and dense alloys can be explained by the well-known theories of heterogeneous and homogeneous nucleation, here referred to as seeding and self-nucleation. We show that all alloys of the 6000 series can get their strength giving precipitates during two-stage aging from seeds which act as potent nucleation sites during the final annealing. However, in dense alloys, due to the increased supersaturation, the precipitates can self-nucleate freely within the matrix during one-stage heat treatments if no seeds are present. The transition from self-nucleation to seeding causes the drop in precipitate number density and thereby strength in the dense alloys and is commonly referred to “the negative effect of natural aging.” However, this drop is only transient. By creating enough seeds prior to the final aging stage, the negative effect can be overcome. We demonstrate that this can be done by keeping the alloy at a temperature $$&gt;{40}\,{^{\circ }\hbox {C}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>&gt;</mml:mo> <mml:mn>40</mml:mn> <mml:mspace/> <mml:mrow> <mml:mmultiscripts> <mml:mrow/> <mml:mrow/> <mml:mo>∘</mml:mo> </mml:mmultiscripts> <mml:mtext>C</mml:mtext> </mml:mrow> </mml:mrow> </mml:math> prior to the actual artificial aging stage.

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Publication Details

Journal
Journal of Materials Science
Published
2025-11-09
DOI
https://doi.org/10.1007/s10853-025-11563-5
Primary Topic
Aluminum Alloy Microstructure Properties
Type
article
Field-Weighted Citation Impact
0.00

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article

One-stage and two-stage aging of dense and lean 6000 alloys

Christoph M. Hell, Ruben Bjørge, Randi Holmestad, Petter Lervik
Journal of Materials Science
Aluminum Alloy Microstructure Properties
article

One-stage and two-stage aging of dense and lean 6000 alloys

Christoph M. Hell, Ruben Bjørge, Randi Holmestad, Petter Lervik
article en

Abstract

Abstract In this work, we analyze the natural aging sensitivity of the Al–Mg–Si(–Cu )(6000) alloy family. We revisit old literature and show that the different aging behavior commonly observed in lean and dense alloys can be explained by the well-known theories of heterogeneous and homogeneous nucleation, here referred to as seeding and self-nucleation. We show that all alloys of the 6000 series can get their strength giving precipitates during two-stage aging from seeds which act as potent nucleation sites during the final annealing. However, in dense alloys, due to the increased supersaturation, the precipitates can self-nucleate freely within the matrix during one-stage heat treatments if no seeds are present. The transition from self-nucleation to seeding causes the drop in precipitate number density and thereby strength in the dense alloys and is commonly referred to “the negative effect of natural aging.” However, this drop is only transient. By creating enough seeds prior to the final aging stage, the negative effect can be overcome. We demonstrate that this can be done by keeping the alloy at a temperature $$&gt;{40}\,{^{\circ }\hbox {C}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>&gt;</mml:mo> <mml:mn>40</mml:mn> <mml:mspace/> <mml:mrow> <mml:mmultiscripts> <mml:mrow/> <mml:mrow/> <mml:mo>∘</mml:mo> </mml:mmultiscripts> <mml:mtext>C</mml:mtext> </mml:mrow> </mml:mrow> </mml:math> prior to the actual artificial aging stage.

Journal of Materials ScienceVol. 60(46)
SINTEF (NO), Norwegian University of Science and Technology (NO), SINTEF Industry (NO)
Norges Teknisk-Naturvitenskapelige Universitet, Norges Forskningsråd, St. Olavs Hospital Universitetssykehuset i Trondheim
Openalex Percentile: Top 55%
Aluminum Alloy Microstructure Properties
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One-stage and two-stage aging of dense and lean 6000 alloys — Christoph M. Hell, Ruben Bjørge, et al. · Journal of Materials Science (2025) | TGRS Research Map | TGRS