Intelligent Manufacturing for Extreme Environments Conference Proceedings
- University of Idaho
The Intelligent Manufacturing for Extreme Environments (IMEE) workshop was held at the Center for Advanced Energy Studies (CAES) in Idaho Falls, Idaho, May 2–3, 2023, in support of the United States (U.S.) National Science Foundation (NSF) Established Program to Stimulate Competitive Research: Workshop Opportunities (EPSCoR-WO) program. This workshop featured keynote speakers, panels, and breakout sessions with 58 participants. Nuclear reactors need to operate under extreme service conditions, such as high temperatures, corrosive environments, and high-radiation doses. Hence, reactor components must be able to withstand those conditions. The participants envision a future where on demand manufacture of components for small modular reactors (SMRs), microreactors, and other advanced reactor designs are possible. In this future, regulatory bodies accept validated manufacturing processes and standardized feedstocks, thus eliminating the need for individual component testing. However, the necessary technologies and regulatory policies needed for this future do not exist today. Successful innovation would revolutionize the nuclear power sector, enable fast commercial development, create economic opportunities in the U.S., reduce the carbon footprint and associated risks, and promote a skilled and highly competitive workforce. The objective of the workshop was to convene world-class experts, researchers, educators, and students to identify gaps and envision solutions for five interrelated challenges for intelligent manufacturing in extreme environments. The key outcomes of the conference were: (1) to take the opportunity for researchers and educators to network and form collaborations; and (2) to produce a full report to inform policy-makers, industry, and the academic community of various challenges and opportunities in the nuclear energy sector.
- Research Organization:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Organization:
- 58
- DOE Contract Number:
- AC07-05ID14517
- OSTI ID:
- 2556847
- Report Number(s):
- INL/CON-25-84052-Rev000
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
36 MATERIALS SCIENCE
42 ENGINEERING
additive manufacturing
advanced manufacturing
advanced nuclear reactors
characterization
intelligent manufacturing
machine learning
manufacturing for extreme environments
materials science
molten salt reactor
nanostructure
nuclear
nuclear science
nuclear workforce development
phytomining
spark plasma sintering
42 ENGINEERING
additive manufacturing
advanced manufacturing
advanced nuclear reactors
characterization
intelligent manufacturing
machine learning
manufacturing for extreme environments
materials science
molten salt reactor
nanostructure
nuclear
nuclear science
nuclear workforce development
phytomining
spark plasma sintering