Design of solute clustering during thermomechanical processing of AA6016 Al–Mg–Si alloy
- 1. The University of Sydney, School of Aerospace, Mechanical and Mechatronic Engineering, and Australian Centre for Microscopy & Microanalysis, NSW 2006 (Australia)
- 2. Aluminum Products R&D Section, New Materials R&D Dept., China Steel Corp., Kaohsiung 81233 (China)
Description
Solute clustering is a technologically important microstructural process in Al alloys. Exerting control over this process to enhance the alloy properties and reduce the energy costs of production is a major scientific and technological focus, with automotive sheet applications serving as a key driver. In this work, we detail changes in the state of clustering arising from the insertion of a thermomechanical pre-ageing process, via a coil-cooling step in a commercial production line, immediately after solution treatment. This pre-ageing step effectively mitigates the negative effects of the natural ageing on the mechanical properties that would otherwise occur after solution treatment and ahead of the final paint-bake step. Our work was focussed on a short duration/low temperature single-step pre-ageing process on a Cu-lean grade of AA6016. Using a combination of atom probe tomography and first principles density functional theory simulations, we are able to reveal and explain the atomic-scale microstructure arising from this thermomechanical process. Mg–Si co-clusters ≥ 20 solute atoms were found responsible for the excellent properties in the material exposed to the pre-ageing plus paint-baking process. Our simulations revealed that vacancies can effectively stabilise single-species Si clusters enabling them to attract further solute and serving as a pathway to formation of the larger Mg–Si co-clusters that are so beneficial to alloy properties. Our simulations also revealed that the nearest neighbour configurations are a critical aspect to the stability of the clusters.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.actamat.2020.10.074Additional details
Identifiers
- DOI
- 10.1016/j.actamat.2020.10.074;
- PII
- S1359645420308727;
Publishing Information
- Journal Title
- Acta Materialia
- Journal Volume
- 203
- Journal Page Range
- vp.
- ISSN
- 1359-6454
- CODEN
- ACMAFD
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54013611
- Subject category
- S36: MATERIALS SCIENCE; S74: ATOMIC AND MOLECULAR PHYSICS;
- Descriptors DEI
- ATOMS; COMPUTERIZED SIMULATION; DENSITY FUNCTIONAL METHOD; DESIGN; MECHANICAL PROPERTIES; MICROSTRUCTURE; SILICON ALLOYS; SOLUTES; TOMOGRAPHY; VACANCIES
- Descriptors DEC
- ALLOYS; CALCULATION METHODS; CRYSTAL DEFECTS; CRYSTAL STRUCTURE; DIAGNOSTIC TECHNIQUES; POINT DEFECTS; SIMULATION; VARIATIONAL METHODS
Optional Information
- Copyright
- Copyright (c) 2020 Acta Materialia Inc. Published by Elsevier Ltd.