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Meeting MS&T24: Materials Science & Technology
Symposium Application of ICME Methods to Advance Sustainable Metallurgy and Metals Processing
Presentation Title Pathways for Decarbonizing Steel
Author(s) Sridhar Seetharaman
On-Site Speaker (Planned) Sridhar Seetharaman
Abstract Scope The competitiveness of steel products in the marketplace will shift according to individual manufacturers’ ability to cost effectively reduce CO2 emissions as measured by cradle-to-gate Life Cycle Analysis (LCA). This study was performed by using LCA and cost estimate research to compare the CO2 emissions and the additional cost applied to the production of various decarbonized materials used in sheet for automotive industry applications using the bending stiffness-based weight reduction factor. The paper discusses the future costs scenarios based on carbon taxes and hydrogen cost. The pathways to decarbonize steel in comparison to alternative materials such as aluminum and reinforced polymer composites were evaluated. Normalized global warming potential (nGWP) estimates were calculated assuming inputs from the current USA electricity grid, and a hypothetical renewable-based grid. From the cost point of view, the current cheapest decarbonized production routes are was identified and discussed further.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Thermodynamic Analysis of Red Mud Usage for Sustainable Iron and Steel Production
Application of CALPHAD-Based Tools to Develop More Sustainable Alloys and Processing Methods
Application of ICME Methods in Aerospace Applications
CALPHAD Simulations to Assist Sustainable Metal Processing
Green Ironmaking via Ammonia-Based Direct Reduction of Iron Ores
ICME Approaches Towards Sustainable Metal Additive Manufacturing
Pathways for Decarbonizing Steel
Quantifying Pyrometallurgy Process Options with Low-Dimensional Models
Scheil-Gulliver Constituent Diagrams for Designing Recycled Al-Alloys
Screening LCA for Rapid Assessment of Sustainable Production
The Road to Sustainable Steelmaking Technologies: Linking Fundamental and Applied Research Activities
Validation of the Coupled Random Cellular Automata Finite Element Model of Dynamic Recrystallization

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