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Meeting TMS Specialty Congress 2024
Symposium Symposium on Digital & Robotic Forming 2024
Presentation Title Adaption of Double-cone Forming Geometry to Reduce the Experimental Expenditures Necessary to Create Forming Process Maps
Author(s) Brett Ley, Vishnu Ramasamy, Jackson Smith, Caleb Campbell, Brett Brady, Noah Kohlhorst, Brian Thurston, Glenn Daehn, Bradley Jared, Zhigang Xu, John Lewandowski, Jennifer LW Carter
On-Site Speaker (Planned) Jennifer LW Carter
Abstract Scope A process map is an explicit representation of the microstructural response of a material to imposed process parameters. Historically, creating these maps has required a large design of experiments (DOE) to characterize the flow performance and microstructure from uniaxial compression experiments conducted at six or more strain rates and temperatures to various incremental total strain accumulation. In 2000, Jackson et al. (DOI: 10.1179/026708300101507433) introduced the double-cone geometry. This novel geometry reduced the volume of material necessary for the DOE by imposing a linearly increasing effective strain over the radius. We adopt this approach to establish microstructurally-informed process models in 316 stainless steel in the presented work. We discuss modification of the geometry for material constraints of additively manufactured preforms and sheet/plate material; the quantification of microstructural metrics; and first attempts at computationally efficient models that would enable on-line modification of robotic incremental rolling and forming operations.
Proceedings Inclusion? Definite: Other

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

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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