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Novel Quantum Dot Technology Shows Promise in Simplifying Vehicle and Structural Surface Inspections
A team of researchers from both the Air Force Institute and Technology and Los Alamos National Laboratory are developing a paint that contains a material called quantum dots which can optically measure deformation of a surface. Quantum dots are the same materials used in new QLED television displays; however, they can also be used for a multitude of sensing applications such as deformation. The researchers used a new method of applying an interfacial layer between the quantum dot paint and the surface under investigation to help adhesion in harsh environments. The primary motivation behind this research is to make both quality assurance and maintenance of aircraft easier for the warfighter. The researchers’ efforts started in 2019 and are continuing. The technology works by shining a light onto the surface of the paint and the dots will emit back a wavelength of light that relates to the amount of deformation the surface is going through. This has the promise to allow for real-time 2D surface measurements that is more affordable than other 2D surface measurement alternatives.
R&D Lattice Modeling, Manufacturing, and Inspection (Masters Degree Final Presentation) [Slides]
Abstract not provided.
Physical Acoustics Characterization For Inspection and Evaluation
The area of acoustics and physics that studies interactions of acoustic waves with gaseous, liquid and/or solid media on macro- and microscales … to obtain the relevant information about a medium under consideration by measuring the properties of acoustic waves propagating through this medium.
Final inspection of foils 3K32-N8-XL8V-F1 and 3K32-N8-XL8V-F2 [Slides]
Abstract not provided.
SEP – Second Triennial Review, Information for HW-012: Inspection Record with action requirement for repair of asphalt cracks
Remedy within 24 hrs any deterioration or malfunction of equipment/structure that may lead to environmental or health hazard.
TUM DU Foil Characterization and Inspection Update [Slides]
Abstract not provided.
2020-2021 Annual Stormwater Report and Inspections for the Water Line Upgrade Project
Abstract not provided.
Autonomous Inspection of Geologic Repositories: Current State of the Art and Future Directions
Geological repositories for nuclear waste, including spent nuclear fuel, present a significant challenge for traditional International Atomic Energy Agency (IAEA) safeguards tools due to their inaccessibility and demanding operational conditions. The IAEA has been working closely with Member State organizations currently involved in repository construction and planning, including Euratom, the Finnish and Swedish regulatory authorities, and relevant facility operators. However, the verification challenge remains unsolved, and there persists an out- standing need for tools and approaches that will help the IAEA verify that no nuclear material is diverted from a repository environment. The challenge is also not static. Activities must encompass verification of the design, prior to and during the construction/operation phase, and post backfill. Throughout these various phases, it is imperative that the IAEA maintains a continuity of knowledge (CoK) of all material including information on material inventory and flow. This paper highlights these challenges and outlines how they might be addressed by using remote or autonomous vehicles. Specifically, we discuss the current state of the art in robotic autonomy for known or partially known environment mapping and patrolling, as well as shared autonomy, where humans collaborate with closed loop autonomation to complete tasks. We explore the feasibility of using rovers for these verification tasks, along with the challenges associated with system implementation. Hardware and software suggestions are provided based on the adoption of similar technologies in other comparable areas and ability to close technical gaps. Lastly, human-robotic interactions are considered based on the challenges of the environment of the repository and effective deployment and continued operation of the robot system.
3D Stereoscopic Inspection Camera [Poster]
Explore the source record for details and available documents.
Hey Inspecta! An AI-Enabled Smart Assistant for International Nuclear Safeguards Inspections - INMM/ESARDA presentation.
Abstract not provided.
Topological Data Analysis as a Descriptive Tool for Structural Similarity in Non-Invasive Inspection.
Abstract not provided.