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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 Integration of computational tools and advanced characterization methods to understand phase transformations in additively manufactured steels
Author(s) Greta Lindwall, Niklas Holländer Pettersson, Chia-Ying Chou, Durga Ananthanarayanan, Benjamin Neding, Peter Hedström, Fan Zhang
On-Site Speaker (Planned) Greta Lindwall
Abstract Scope Additive manufacturing (AM) enables complex tool geometries with improved tool performance as a result. This has, in particular, increased the interest in developing printable medium-carbon steels aimed for hot-work tooling application where the incorporation of conformal cooling channels in the tool design may prolong the tool life considerably. In this work, the as-built microstructures of hot-work tool steels manufactured using laser-powder bed fusion are studied in detail as well as the response to post-print heat treatments. Emphasis is on how Calphad-based computational thermodynamics and kinetics can be applied for materials design and development of suitable post-heat treatments. Experimental characterization methods including ex-situ and in-situ synchrotron-based diffraction are employed for model calibration. Protocols for quantifications of retained austenite fractions in AM tool steels accounting for texture and spatial variations are discussed.
Proceedings Inclusion? Planned:
Keywords Additive Manufacturing, Computational Materials Science & Engineering, Characterization

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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