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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Advanced Nuclear Reactor Models on the Virtual Test Bed: intern poster consisting of introduction, methodology, and models uploaded. to the VTB over my summer project.
An intern poster on the NRAD upgrades to their thru-wall collimator and precollimator. The poster references the changes to improve the beamline to prevent unnecessary dose to personnel.
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Type-5 wind turbines are unique in their use of a permanent magnet synchronous generator, as well as their use of a hydraulic torque converter. This architecture presents an opportunity to provide steady and grid-ready energy without the need for a power converter. With infrastructure continuity and reliability being an important topic amongst renewable energies, researchers have been prompted to further investigate the benefits of type-5 turbines’ unique electromechanical configuration on stable electricity generation. Researchers involved in the WindSG project, SG standing for synchronous generator, are aiming to model a type-5 turbine using Real Time Digital Simulation (RTDS) to evaluate its efficacy in the grid. RSCAD, the software run on the RTDS, comes pre-loaded with electrical and electromechanical components to help simulate electrical generation and grid conditions. However, within this repertoire there is a lack of a component to represent a gearbox with high-fidelity. Within RSCAD’s case studies, the gearbox is often represented simply by a gear ratio value. This presented the task of developing a high-fidelity gearbox model in RSCAD for use in the larger RTDS type-5 wind turbine model. This presentation describes a method of developing a lumped parameter mathematical model to represent a planetary-parallel-parallel gearbox in RSCAD for use in RTDS.
This poster shows the performance of 5KN and 50KN proving rings based on their historical verification data collected following ASTM E4 standards.
This internship poster is intended to show what I have been working on during my internship. It is a previous raster drawing of a back up clamp and my new revised drawing of the overall assembly. It talks about what 3D software I was using and how I am benefitting the INL.
This is the poster our intern will present at AIM 2025 Conferences highlighting the data-driven representation of AFM data we established.
Techniques to compress large assemblies for mobile use using creo8.
Item purpose: SnT virtual poster showing LYNM work Internal peer review status: This poster has been peer reviewed HQ review status: this poster has been approved by HQ
This poster presents requirements, methodology, and results of the LBNF Internal Cryogenics External Supports conceptual design. Forces and flexibility analyses, membrane cryostat restrictions, and simplicity were all taken into consideration for the design.
Poster to submit to the International Conference on the Development of Preparedness for National and International Emergency Response (EPR2021), 11–15 October 2021, Vienna, Austria. https://www.iaea.org/events/epr-2021
TITANS CCD Open House Poster presenting summer intern work completed on an automated patch diffing pipeline, targeted for reverse engineers and vulnerability researchers.
Internal LDRD virtual poster session
Poster for the intern symposium
This poster provides an overview of progress in international radiometric standards for solar energy applications.
This poster discusses the modeling, performance and optimization of a solvent absorption system for CO2 capture with towers utilizing intensified packing. The packing is an alternative to traditional structured packing by incorporating cooling channel for simultaneous mass and heat transfer.
Poster on Carbon Storage Data Task 4: International Offshore Geologic Carbon Storage Inventory and Meta-analysis to be presented at the AAPG CCUS conference March 11-13, 2024.
Poster presented at the 17th International Conference on Greenhouse Gas Control Technologies GHGT-17 held in Calgary, Canada, October 20-24, 2024. This poster highlights the integration of unsupervised machine learning (ML) techniques as a transformative tool for advancing understanding of CO2 injection into reservoirs that could potentially contribute to optimizing injection strategies and reservoir management, ultimately bolstering the efficacy and sustainability of CO2 storage.