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Meeting MS&T21: Materials Science & Technology
Symposium Additive Manufacturing: Large-Scale Metal Additive Manufacturing
Sponsorship
Organizer(s) Yousub Lee, Oak Ridge National Laboratory
Antonio J. Ramirez, Ohio State University
Yashwanth Bandari, 'Meltio Inc.
Duckbong Kim, Tennessee Technological University
Wei Zhang, Ohio State University
Scope Large-scale metal additive manufacturing (AM) is a potentially disruptive manufacturing process for creating large-scale metal parts. The manufacturing envelope can be huge (e.g., parts up to 8 feet are regularly printed) and can take days or even weeks to print. For this technology to be adopted for manufacturing of critical structural components, tight control of part properties and performance is required for various large-scale AM processes (e.g., arc, laser, electron beam, etc.). The major challenges are thermally induced part distortion and residual stress management. Under dynamic printing conditions and complex part geometries, part deformation is primarily associated with varying thermal cycles influencing phase transformation and internal stress buildup. This can reduce the local part strength causing cracking or catastrophic failure of a structural component. Although there are extensive advances in welding and powder-based AM community, challenges in large-scale AM still hinder the wide adoption of this technology to aerospace or automotive or other industries. The goal of this symposium is to highlight advanced research activities in large-scale AM. Proposed topic areas include but not limited to:

• In-situ process monitoring and defect quantification (e.g., residual stress, distortion, cracking, etc.) in large-scale AM
• Process parameter optimization: thermal and property control method to manage metallurgical transformation, mechanical properties, and part deformation
• Innovative system design to improve part quality (e.g., rolling, multi-heat sources, etc.)
• Efficient modeling & simulations and machine learning aided design to understand correlation between process-microstructure-property
• Developing new alloys or dissimilar parts fabricated by large-scale AM
• Effect of part building strategy and post-heat treatment to obtain desired part properties

Abstracts Due 04/15/2021
Proceedings Plan Planned: At-meeting proceedings
PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE

A Machine Learning-based Geometric Compensation Method for Metal Additive Manufacturing
A Proposed Sustainable Framework to Assess Wire Arc Additive Manufacturing Efficiency in Processing of Different Mechanical Components
An Investigation of the Properties of Stamping Tool Inserts Manufactured Using a Novel Wire Deposition Additive Manufacturing Process
Development of 3D Metal Printing for Toolmaking
Effect of Inhomogeneous Grain Size on the Deformation Characteristics of Bimetallic Additively Manufactured Structure (BAMS) of 316L Austenitic Stainless Steel and Inconel 625
High Deposition Rate Wire Arc Directed Energy Deposition of 316L for Pressure Retaining Components in Nuclear Applications
Hybrid Metal Manufacturing of Large Freeform Geometries
Manufacturing Large Scale Metal Parts via AM – Current and Future Directions
Microstructure Modification of GMAW-DED 316L Stainless Steel
Moving Heat Source Process Simulation for Wire Arc Additive Manufacturing via a Mesh-free Method and GPU Computing
Novel Thermal Management Technique for Additive Manufacturing
Process Development for Laser Hot Wire Additive Manufacturing of Ti-6Al-4V
Thermo-mechanical FEM Modeling and Machine Learning of Distortion on Overhang Structure in Laser Powder Bed Fusion Additive Manufacturing
Towards Understanding Microstructure Evolution during Wire Arc Additive Manufacturing of Maraging 250 Thin-wall Parts
Wire Arc Processing of Stainless Steels; Microstructure and Properties
Wire + Arc Additive Manufacturing (WAAM) of Al0.1CoCrFeNi High-Entropy Alloy (HEA)


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