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Meeting 2025 TMS Annual Meeting & Exhibition
Symposium Microstructural Evolution and Material Properties due to Manufacturing Processes: A Symposium in Honor of Anthony Rollett
Sponsorship TMS Materials Processing and Manufacturing Division
TMS: Computational Materials Science and Engineering Committee
Organizer(s) Jonathan A. Zimmerman, Sandia National Laboratories
Curt A. Bronkhorst, University of Wisconsin-Madison
Elizabeth A. Holm, University of Michigan
Ricardo A. Lebensohn, Los Alamos National Laboratory
Sukbin Lee, Ulsan National Institute of Science and Technology
Nathan A. Mara, University of Minnesota
Scope Most physical properties of a material stem from its microstructure, the arrangement and population of boundaries and defects at the microscopic scale that constrain the long-range order and motion of a material’s constituent atoms as it undergoes mechanical deformation. Engineered parts and structures rely on tailored manufacturing processes and a deep understanding on how such processes lead to specific microstructures that can bestow desired attributes such as strength, hardness, ductility, corrosion resistance, etc. This understanding, along with defined relationships between process parameters and the microstructure evolution, are essential to all varieties of manufacturing techniques such as thin film deposition, rolling, extrusion, machining, and 3D printing (also known as additive manufacturing).


Anthony Rollett – the U.S. Steel Professor of Metallurgical Engineering and Materials Science at Carnegie Mellon University and Co-director of its Next Manufacturing Center – has made crucial contributions throughout his career in uncovering and defining the microstructure-property relationships characteristic of such manufacturing methods. Through his work in both computational simulation and experiments, he has investigated topics such as recrystallization, grain boundary migration, viscoplastic deformation, annealing, residual stress, strain aging, and powder bed fusion (among many others) and brought clarity on how manufacturing-induced defects impact a material’s resultant properties. This symposium is intended to honor his contributions to the field of materials science and highlight the work of others who have been inspired by him and his accomplishments.

This honorary symposium will feature invited presentations from colleagues and collaborators of Dr. Rollett, as well as contributed presentations from members of the materials and manufacturing community who follow in his footsteps to use modeling and characterization methods to gain fundamental insights on microstructure evolution during manufacturing and the process-structure-property relationships that can be inferred. Submitted abstracts should seek to present work that connects manufacturing methods, microstructural phenomena, and physical & mechanical properties. Special consideration will be given to abstracts that highlight how work by Dr. Rollett has inspired current developments and lines of scientific inquiry.

Abstracts Due 07/15/2024
Proceedings Plan Undecided
PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE

Advanced Coupling of an FFT-based Mesoscale Modeling Method to a Macroscale Finite Element Method
Advances in FFT-based modelling of microstructure/property relationships of polycrystalline materials
Adventures Exploring Five-Dimensional Space with Tony Rollett
An Overview of Synchrotron X-ray Microscopies: From Macro to Nano
Connecting Structure and Processing through Simulation: Statistics, Machine Learning, and Future Directions in Inverse Materials Design
Enabling 3D multiscale materials characterization using machine learning
Experimental and Numerical Studies on Melt Pools in Metal Additive Manufacturing
Modeling Microstructure Fatigue Indicator Parameters using Symbolic Regression with Graph Neural Networks
Practical Benefits from Spherical Indexing of EBSD Patterns for Microstructure Characterization
Predicting Spatial Variability of Mechanical Properties in Additively Manufactured Metals Using a Process-Structure-Property Modeling Framework
Quantifying Abnormal Grain Growth with Correlation Analyses and Information Theory
The Analysis of Grain Boundary Networks by 3D Serial Sectioning
The annealing twin paradox : well-known defects but still not fully understood


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