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Meeting 2021 TMS Annual Meeting & Exhibition
Symposium Hume-Rothery Symposium: Accelerated Measurements and Predictions of Thermodynamics and Kinetics for Materials Design and Discovery
Presentation Title Computational Modeling-Assisted Development of Cast Alumina-forming Austenitic Stainless Steels for High Temperature Corrosive Environments
Author(s) Govindarajan Muralidharan, Yukinori Yamamoto, Michael P Brady, Shivakant Shukla, Tanya Ros, Stanley Fauske, Roman Pankiw, Jim Myers
On-Site Speaker (Planned) Govindarajan Muralidharan
Abstract Scope Cast chromia-forming austenitic stainless steels such as HP-type alloys are used in a wide range of industrial applications such as high temperature furnace components, radiant burner tubes, and ethylene cracking furnaces that demand high temperature microstructural stability, corrosion resistance, and creep strength. Although alumina scales offer better corrosion protection at these temperatures, developing cast austenitic alloys that form a stable alumina scale and achieve creep strength comparable to existing cast chromia-forming alloys, has been challenging. This work outlines our recent work on the development of cast Fe-Ni-Cr-Al austenitic stainless steels for use in high temperature industrial and chemical environments as an alternative to cast chromia-forming cast austenitic stainless steels using computational thermodynamic modeling and laboratory scale validation. This talk will highlight the challenges in design and in scale-up. Research sponsored by ARPA-E, US Department of Energy, under Contract DE-AC05-00OR22725 with UT-Battelle, LLC.
Proceedings Inclusion? Planned:

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Diffusion Mobility Database for γ/ γ' Co-Superalloys
A Tale of Two Approaches: From Phase Equilibria to Materials Properties
A Thermodynamic and Molar Volume Database for Co-base Superalloys
An Atom-Probe Tomogaphy Study of the Temporal Evolution of Concentration Retention Excesses and Depletions at gamma-f.c.c/gamma-prime-L12 Interfaces in a Ni-Al-Cr-Re Superalloy
An Integrated Computational Materials Engineering (ICME) Framework for Additive Manufacturing (AM) of Ni-based Superalloys
Combinatorial design of high-entropy alloys
Computational Modeling-Assisted Development of Cast Alumina-forming Austenitic Stainless Steels for High Temperature Corrosive Environments
Computational Thermodynamics and its Applications
Design of Cobalt Base Superalloys for 3D Printing
Emerging Capabilities for the High-Throughput Characterization of Structural Materials
Extended Applications of the CALPHAD Simulations
Genomic Materials Design: From CALPHAD Data to Flight
High-throughput experiments and machine learning modeling for designing next generation superalloys
High-Throughput Hot-Isostatic-Pressing Micro-Synthesis for Accelerated Studies of High Entropy Alloys
High-Throughput Synthesis, Characterization and Prediction of Metallic Glass Formation
High-throughput Testing and Characterization of Novel Additive Manufactured Materials
Insights from a Comprehensive Assessment of Diffusion Coefficients of 20 Binary Systems and a Comprehensive Diffusion Mobility Database for Magnesium Alloys
Integrated Predictive Materials Science – Filling the ICME Pipeline
Integration of computational tools and advanced characterization methods to understand phase transformations in additively manufactured steels
Machine Learning-assisted ICME Approaches to Explore the Alloy and Process Space in Metals Additive Manufacturing
Modeling of diffusion and intermetallic phase formation in Al-Mg bimetallic structures
Multi-cell Monte Carlo method for phase prediction
Phase stability and kinetic considerations in materials processing and performance
Phonon Anharmonicity Causes the Large Thermal Expansion of NaBr
Printability and Properties of Metallic Alloys for Laser Powder Bed Fusion Additive Manufacturing
Some properties if the multicomponent diffusivity matrix
Unexpected phenomena observed in metallurgical studies
Visualizing and Rationalizing Synthesis Pathways in Oxides
William Hume-Rothery Award Lecture: High-throughput Measurements of Composition-dependent Properties of Alloy Phases for Accelerated Alloy Design

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