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Meeting 2022 TMS Annual Meeting & Exhibition
Symposium Materials Design and Processing Optimization for Advanced Manufacturing: From Fundamentals to Application
Sponsorship TMS Structural Materials Division
TMS: Alloy Phases Committee
Organizer(s) Wei Xiong, University of Pittsburgh
Dana Frankel, QuesTek Innovations LLC
Gregory B. Olson, Massachusetts Institute of Technology
Scope Materials design is critical for manufacturing innovation. Different processing introduces a variation of process-structure relationships for the same alloy. Therefore, it becomes essential to integrate the efforts of materials design, processing optimization, and manufacturing innovation together. The state-of-the-art design activities are not necessarily an effective integration between material and manufacturing itself. Therefore, this symposium brings domain experts together to share experiences from materials design to manufacturing innovation.

The symposium will include but not limited to the following topics:
(1) Alloy design theory and fundamentals of materials processing. This can be either theoretical work related to materials genome or experimental efforts such as high-throughput experiments.
(2) Materials informatics including database development for alloy manufacturing such as thermodynamic modeling, phase transformation modeling, and machine learning enhanced modeling of process-structure-property relationships.
(3) Alloy development with the investigation on composition-process-structure-property relationships. This will include but is not limited to lightweight alloys, steels, superalloys, multi-principal element alloys.
(4) Examples of harnessing advanced processing techniques to produce novel microstructures or materials with unique properties.
(5) Processing optimization for both traditional and innovative manufacturing techniques focusing on process-structure-property relationships.
(6) Interdisciplinary work in materials, mechanical, and manufacturing engineering for advanced materials and manufacturing innovations.

Invited talks will cover the above topics. At least one session of invited talks by young investigators will be arranged.

Abstracts Due 07/19/2021
Proceedings Plan Planned:

3-DAP Analysis on Si and Mg Atoms Clustering Behavior during Post Weld Heat Treatment of Aluminum Alloy FSW Joints
A Machine Learning Based Methodology to Predict the Build Quality of Metallic Alloys Additively Manufactured by Laser Powder Bed Fusion
A New CALPHAD-based Approach to Develop Chromium and Nickel Equivalencies for Austenitic Stainless Steels
A Numerical and Experimental Study of Simultaneous Topology/Orientation Optimization via SOMP and Principal Stress Directions
Additive Manufacturing of Aluminium: Alloy Design and Machine Learning Assisted Process Optimization
Additive Manufacturing of High-performance Compositionally Complex Metal Alloys
Alloy Design/Modification, Powder Feedstock Atomization and Process Optimization Modeling for Additive Manufacturing by Laser Powder Bed Fusion
An Experience in Development of Modified Invar Alloy: Building the Capacity of Overhead Power Transmission Lines
Characterization of the Microstructure and Deformation Substructure evolution in Additively Manufactured High-entropy Alloys via Correlative EBSD and ECCI
Chemistry-processing-microstructure Relationships in Materials for Advanced Manufacturing
Cold Spray Deposition onto CFRP with Engineered Bond Layer
Composition and Thermo-mechanical Processing Optimization towards Superior Steels: Two Case Studies
Deformation and Failure of Cold Sprayed Metal Matrix Composites: A Synchrotron X-ray Approach
Deformation Pathways in an Engineered Ti Alloy Duplex Microstructure Produced Using Selective Laser Melting
Design and Manufacturing of Tailorable Polymer Derived Ceramic Composites
Design of a High Temperature Precipitates for a Complex Concentrated Alloy Using Model Ternary Alloys
Design of Cold-workable Refractory Complex Concentrated Alloys for Applications at Ambient-to-elevated Temperatures
Design of Creep Resistant High Entropy Super Alloy Using Multiscale Materials Modeling and Deep Learning.
Designing Photopolymer Inks from Low Viscosity Newtonian Resins
Designing Ultra-conductors Using Solid Phase Processing
Development and Manufacturing of Solid-solution or Precipitation-strengthened Multi-principal Element Alloys with Superior Properties
Development Framework Advancing State-of-the-art for Space Propulsion Components
Effect of Nozzle Structure Parameters on Liquid Steel Flow Behavior in Slab Mold
Effect of the Casting Process on the Microstructure and Mechanical Properties of a Cast Ni-based Alloy
ExaCA Workflow and Microstructure Modeling as Part of the ExaAM Framework
Experimental Determination of Forming Limit Diagram for AISI 304
Fabrication of Multilayered Aluminum/Carbon Fiber Composites for Electromagnetic Interference Shielding
FeNiMnAl(Cr) and FeCoMnAl Multi-principal Component Alloys
Finding a Balance in FeCrAl, Optimizing Fabrication Routes and Chemistry Utilizing Experiments, Modeling, and Machine Learning
Friction Assisted Dissimilar Solid State Joining of Aluminum and Copper Pipes
Healing Damage in Friction Stir Processed Mg2Si Reinforced Al Alloy
High-fidelity Modeling of Multi-material Additive Manufacturing
How Deep Learning Can Help with Materials Design
Improving Powder Feedstock for Metal Additive Manufacturing
Influence of Single Fold and Double Fold on the Stress and Strain of AMOLED Module
Investigation of Microstructure and Mechanical Properties of Ferritic Stainless Steels Processed with Laser Welding
Laser Deposition of Graded γ-TiAl/Ti2AlNb Alloys: Microstructure and Nanomechanical Characterization of the Transition Zone
Laser Forming of Sheet Metal: Incorporating a Metallurgical Perspective
Laser Powder Bed Fusion of High-strength, Crack-susceptible Superalloys: Considerations in Composition, Printing Process and Heat Treatment.
Local Electronic Descriptors for Defect Properties of bcc Refractory Alloys
Material Flow Behavior Prediction of Additive Friction Stir Deposition Using Smoothed Particle Hydrodynamics
Material Interdiffusion and Necking between Dissimilar Nanoporous Metal Interfaces
Materials Design for Advanced Manufacturing
Materials Design of High-melting-point Materials from First Principles, Database, and Machine Learning
Microstructural Evolution of Compositionally Graded Proton Irradiated 316 Stainless Steel as a High Throughput Alloy
Microstructure Prediction of Additively Manufactured 316L Using Heat Transfer, Thermodynamic, and Solidification Models
Microwave Dielectric Spectroscopy of Intrinsic and Doped HKUST-1 Metal-organic Framework Films
Modeling Non-equilibrium Segregation and Microstructural Evolution during Rapid Solidification in Additive Manufacturing: Application to IN718 Alloy
New Methodologies for Grain Boundary Detection in EBSD Data of Microstructures
Numerical Simulation Study of Strip Floater
Optimization of Parameters in Modified Strain-induced Melt Activation Process for Al-7Si Alloy
Phase Field Modeling Investigation of Polycrystalline Grain Growth Using a Spherical-Gaussian-Based 5-D Computational Approach
Power Ultrasound in Advanced Manufacturing
Predicting the Columnar-to-equiaxed Transition during Additive Manufacturing of Concentrated Multicomponent Alloys
Preparation of Polydopamine-mesoporous Silica Nano-fertilizer Loaded with Multiple Nutrients for Crops Planting
Role of Interstitial and Minor Alloying Element Additions on Microstructural Evolution in Additively Manufactured Materials
Shear Assisted Processing and Extrusion (ShAPETM) for Manufacturing of Copper-graphene Composites for Ultra-high Electrical Conductivity: Emphasis on Microstructural Evolution
Short-range Order and Its Impacts on the BCC NbMoTaW Multi-principal Element Alloy by Machine-learning Potentials
Solidification Behavior of Additively Manufactured Martensitic Precipitation-hardenable Stainless Steels
Texture Gradients and Asymmetries in ShAPE Processed ZK60 Magnesium
Towards Laser Powder Bed Process Optimization: An Approach for Fast Process-microstructure Predictions
Understanding Welding Metallurgy and Process-structure-property Relationships for Advanced Manufacturing: High-throughput Experimental Techniques Guided by Thermodynamic Modeling
Variation in Density, Phase Constituents, Microstructure, Surface Roughness and Modulus/Hardness Observed from LPBF Parametric Study of Ti – 6 wt.% Al – 4 wt.% V Alloy

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