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Meeting 2023 TMS Annual Meeting & Exhibition
Symposium 2023 Light Metals Keynote Session
Presentation Title Data Driven Methods to Increase Aluminum Recycling
Author(s) Elsa Olivetti
On-Site Speaker (Planned) Elsa Olivetti
Abstract Scope Improving materials efficiency must play a role in decarbonizing metals production because these strategies are available to pursue now and, therefore, achievable along a shorter time horizon than more transformative processes such as novel production methods. In the face of an evolving scrap stream and shifts in product demand, industry-based recycling targets will not be achievable without coupling alloy design with considerations of emerging end-of-life scrap streams. Performance metrics must be broadened to include the ability for a new alloy to incorporate secondary material emerging from a dynamic scrap stream. Leveraging ever more powerful computational and data science tools, metallurgists can explore a broader range of compositional and processing dimensions, especially where opportunities are present to improve recyclability. This presentation will cover methods that investigate underexplored regions to guide the production of new alloys with endogenous links to include secondary material based on expected future flows of scrap.
Proceedings Inclusion? Planned: None Selected


Data Analytics for Advanced Process Monitoring and Control in Primary Aluminum Smelting
Data Driven Methods to Increase Aluminum Recycling
Hydro Aluminium - Smelter Improvements Through Modelling and Digitalization
Importance of Transparent Data and Standardised Data Analysis for Decarbonisation of the Aluminium Sector
Improving Safety and Performance of DC Casting Lines by Applying Digital Twins, Process Models and Vision Systems
Issues in Macroscopic Modeling of Aluminum Direct Chill Casting
Microstructure Simulation as a Basis for Material Property and Casting Defect Predictions
Numerical Modeling Tools for the Assessment of High-Amperage DC Busbars

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