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Meeting TMS Specialty Congress 2024
Symposium Symposium on Digital & Robotic Forming 2024
Organizer(s) Glenn S. Daehn, Ohio State University
Sarah J. Wolff, The Ohio State University
Jian Cao, Northwestern University
Kester D. Clarke, Los Alamos National Laboratory
Babak Raeisinia, Machina Labs, Inc.
Iain Todd, University of Sheffield
Scope The Symposium on Digital and Robotic Forming 2024, a brand new TMS event, will explore science and technology associated with numerically controlled forming methodologies that include robotics, machine learning, and/or combinations of manufacturing practices and how they can be applied to forming techniques, processing science, and the way we manufacture and make materials. This conference will convene experts and stakeholders to discuss the supply chain challenges for large metal parts and more.

Late Breaking News Abstracts are now being collected by April 15, 2024.

Abstracts are requested under the following topics:

-AI/ML in Robotic Forming
-Digital Twins
-Fundamentals of Incremental Forming
-Hybrid Processes (e.g Stamping + Robotic Forming, Robotic Forming + Stretch Forming)
-ICME in Support of Forming Operations
-ICME-Based Design in Robotics
-In-situ, In-operando, and Post-mortem Characterization (Temperature, Strain, Microstructure)
-Industry Application (Infrastructure, Marine, Defense, Automotive, Aerospace, Medical, Large-scale Energy, Construction, Architecture)
-Methods for 3D/4D Processes
-Robotics: Enabling and Application
-Robotic Forming on Non-metals
-Tools: Computational and Control

Abstracts Due 04/15/2024
Proceedings Plan Definite: Other

A Paradigm Change in Metal Forming: From Formability to Usability
Adaption of Double-cone Forming Geometry to Reduce the Experimental Expenditures Necessary to Create Forming Process Maps
Application of Scientific Machine Learning for Robotic Forming
Architectural Applications and Workflows for Robotic Incremental Forming
Constitutive Law Selection for Finite Element Modeling of Incremental Rotary Forming
Control System Development for a Lab-scale Forging Manipulator for Deformation Model Validation Experiments
Control System Problem Formulation of Robotic Forming, With Robotic Plate Forming as a Case Study
Deep Drawing and Spin Forming: A Comparison Study
Development of a Low-cost Open-source Wire Arc Additive Manufacturing (WAAM) Machine
Differences in Material Behavior and Limitations during Metal Spinning of 304 SS and 6061 Al
Digital Incremental Forming System
Enabling Manufacturing of Next-gen Aerostructures Through Digital & Robotic Forming
Evolution of Advanced Manufacturing Technologies in the Data Analytics and Computational Modeling Era
Generating Digital Shadows of Workpiece Temperature During Thermomechanical Processes
In-space Manufacturing of Large Reticulated Structures via Deformation Processing
Incremental Robotic Forging: An Initial Cyber-physical System
Influence of Feedrate on Microstructure and Hardness of Conventionally Spin-formed 6061-O Plate
Integrated English Wheeling System
Metallurgy of Incremental Forming Processes: A Spin Forming Review
Metamorphic Manufacturing (MM): Some Related Efforts Since the 2019 TMS Accelerator Study Report on MM
Metamorphic Manufacturing: a Tutorial Review
Microstructural Evolution and Corrosion Resistance of 316 Stainless Steel by Double-sided Incremental Sheet Forming
Modifying AM Microstructure and Process Defects by Post-process Forging
Predictive Modeling of Material Deformation Using English Wheel Under Varying Loading Conditions
Refinement of Microstructure and Mechanical Properties of Robotic Wire Arc Additively Manufactured (WAAM) AISI 316LSi Using Forging.
Starting a Digital & Robotic Forming Company – Why, How, and the Role of Different Stakeholders
Technology Training Transfer for Advanced Manufacturing Technologies
Toward Achieving Autonomy in Incremental Forming
Toward Autonomous Research and Co-development of Alloys and Their Manufacturing
Utilizing Strain Rate Jump Testing to Predict Flow Formability of Al Alloys Sensitive to Portevin-Le Chatelier Instabilities

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