Informing Data-Driven Recyclable Aluminum Design with Phase Constraints
Name
ahrens-jahrens-sb-dmse-2022-thesis.pdf
Description
Thesis PDF
Size
1.39 MB
Format
Adobe PDF
Checksum (MD5)
475ee9873ed01ce5a13f1828fbb7579b
Author(s)
Ahrens, Jacqueline
Advisor(s)
Olivetti, Elsa
Date Issued
May 2022
Publisher
Massachusetts Institute of Technology
Abstract
The design of new aluminum alloys for recycling constitutes a large, multi-dimensional composition space. Within a Bayesian optimization blending model, phase or composition constraints are necessary to narrow the design space within and focus on regions that may contain viable alloys. This thesis focuses on the 6xxx-series system through a broad dataset comprising all known Al-Mg-Si composition and thermodynamic calculations of individual compositions. Explicit matrix phase constraints are not superior to basic Al composition constraints within lean alloys. To suppress detrimental 𝛽-AlFeSi constituent phases and promote strengthening 𝑀𝑔₂𝑆𝑖 intermetallic phases, ratios of Fe/Mn=1 and Mg/Si=1.73 are sufficient. Equilibrium and Scheil calculations of commercial compositions show non-linear regimes where the Fe/Mn=1 rule may be too conservative and point towards ways to expand the amount of Fe that recycled aluminum can accommodate.
MIT Department
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Terms of Use
In Copyright - Educational Use Permitted
Copyright MIT
Persistent DSpace Link
