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Meeting 2023 TMS Annual Meeting & Exhibition
Symposium 2023 Light Metals Keynote Session
Presentation Title Data Analytics for Advanced Process Monitoring and Control in Primary Aluminum Smelting
Author(s) Carl Duchesne
On-Site Speaker (Planned) Carl Duchesne
Abstract Scope The primary aluminum industry currently faces many challenges, such as coping with declining quality and increasing variability in raw materials, finding new ways to increase energy efficiency and improve environmental footprint, etc. Data analytics can contribute to addressing these issues. Massive amounts of data containing valuable information for continuous process improvement are routinely collected from smelters and archived in data historians. New technologies to measure individual anode electrical currents in reduction cells and to assess anode quality using non-destructive testing, as well as anode tracking systems are progressively introduced in plants, generate additional data, and provide new opportunities for data analytics. This talk overviews 15 years of research efforts made at Laval University in partnership with Alcoa Corporation, to develop new data-driven process analytical technologies along the anode production chain, and process monitoring and fault detection schemes for different process units. Challenges and future opportunities will also be discussed.
Proceedings Inclusion? Planned: None Selected

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

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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