ProgramMaster Logo
Conference Tools for TMS Specialty Congress 2024
Login
Register as a New User
Help
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools
About this Abstract
Meeting TMS Specialty Congress 2024
Symposium Symposium on Digital & Robotic Forming 2024
Presentation Title Control System Problem Formulation of Robotic Forming, With Robotic Plate Forming as a Case Study
Author(s) Yixue Chen, Tyler Babinec, Brian Thurston, Javier Vasquez-Armendariz, Luis H. Olivas-Alanis, Ciro Rodriquez, Kornel Ehmann, David Dean, Kenneth Loparo, Robert Gao, David Hoelzle
On-Site Speaker (Planned) Yixue Chen
Abstract Scope Robotic forming is a process where a metallic alloy is sequentially and locally deformed to incrementally change the shape and material properties from an initial state to a goal state. This process enables both part complexity and part customizability, whilst maintaining the fine-grained microstructures inherent to hot and cold forging processes. Autonomous control of the incremental forming process is a formidable challenge. Most current robotic forming is an open-loop process, with the exception of a few examples of incremental sheet forming. The field of control systems has a mature suite of techniques that enable robotic forming control. This paper proposes a general formulation of robotic forming processes as a state-space dynamic system that facilitates the application of the established techniques. Based on this formulation, we study the incremental plate forming process as a case study to demonstrate control formulation, controllability and observability analysis, and control design synthesis.
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

Questions about ProgramMaster? Contact programming@programmaster.org