A Revolution in Digital Manufacturing: Integration of Manufacturing Machines, Robotics, and Artificial Intelligence with Blacksmith-like Forming Technologies
Abstract
ABSTRACTThe Minerals, Metals, and Materials Society (TMS) has a strong history of developing and executingscience and technology accelerator studies and reports (see www.tms.or/studies to support theadvancement of science and technology (S&T) in various technicalsubdomains within the field ofmaterials science and engineering (MSE) and manufacturing. Both emerging and established topical areas,such as Artificial Intelligence use within MSE and/or advanced manufacturing, are critical to theprogression of the field as is the development of a diverse and skilled community of practitioners. In thisvein, the currently proposed accelerator study builds uponthe foundation set by an earlier TMS study onmetamorphic manufacturing, but is markedly different, as follows. Since at the time ofthe earlier studyreport metamorphic manufacturing was in its incipient stages of ideation, it has been clearly recognizedthat the emergence and implementation of this type of advanced, automated, incremental-forming basedmanufacturing will require tightly collaborative efforts amongst experts in the fields of manufacturingmachines, robotics, and artificial intelligence. In that vein, the accelerator study proposed here is focusedon bringing together the different areas of expertise required to take this technology to the next level.This will be done by considering the challenges, recommendations, and detailed/actionable next stepsneeded for enabling and accelerating direct development and implementation of suites of metamorphicmanufacturing machines and systems, as well as for engaging and developing the workforce required toimplement this new technology. The three key technical components (and related communities ofexpertise) critical to this accelerator study thus include: manufacturing machines, robotics, andcomputational software and hardware supporting artificial intelligence (AI).
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2023
- Source ID
- N000142312765
Entities
People
- George Spanos
Organizations
- Minerals, Metals & Materials Society
- Office of Naval Research
- United States Navy