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Results for “quantification”
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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In situ quantification of the Effect of Ni Surface Impurities on Hydrogen and Deuterium Adsorption Using Environmental-XPS.
Abstract not provided.
Metal Ion Sensing and Quantification by Anodic Stripping Voltammetry (ASV)for Study of Alkaline Battery Separators.
Abstract not provided.
Uncertainty Quantification of Constitutive Models in Crystal Plasticity Finite Element Method.
Abstract not provided.
Multimodel Methods for Uncertainty Quantification of Repository Systems.
Abstract not provided.
Model-based quantification of uncertainties in metal additive manufacturing.
Abstract not provided.
Multifidelity Uncertainty Quantification in Stochastic Media Transport Problems.
Abstract not provided.
Machine-Learned Quantification of Local Structure and its Effects in Fracture of Silica Glass.
Abstract not provided.
Uncertainty Quantification of Fuel Inhomogeneity in Low-enriched Uranium Silicide High Flux Isotope Reactor Design
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Quantification of 238U Holdup using Iterative, Point-Cloud-Based Compton Imaging
U holdup has impacts on several aspects of operation: Worker dose, Criticality safety, Safeguards, Outage planning. Generalized Geometry Holdup (GGH) currently estimates U mass within a high uncertainty band (± 50%). This method seeks to improve this uncertainty via quantitative Compton imaging.
Establishing Validation Sites for Field-Level Emissions Quantification from Grain Sorghum in Southern Great Plains
Establish publicly available open-source, high-resolution datasets of greenhouse gas (GHG) emissions, meteorology, soil, and vegetation to support testing and validation of emerging biofuel production monitoring technologies. The project team deployed latest technologies to collect “Gold Standard” data for field- level fluxes of CO 2 , N 2 O, CH 4 and H 2 O in grain sorghum production systems in Texas, Oklahoma, and Kansas. The Oklahoma State University led SMARTFARM was initiated on Oct 1, 2020, due to COVID-19 pandemic delay. We installed closed-path dual laser Eddy Covariance (EC) flux measurement system along with a well-established open-path EC system for simultaneously measuring field-level fluxes of CO 2 , N 2 O, CH 4 , and H2O. The eddy flux data are combined with sub-acre soil moisture and temperature measurements, plant and soil analysis data (nutrient, composition, carbon, growth, and phenology), spatial surveys of soil EC, and pH. Grain sorghum crop was managed including planting and harvesting by producers. All teams recruited postdocs and students for the project and submitted purchase orders for field equipment. The team has developed a draft impact sheet and finalized the advisory board for the project.
Quantification of Commercially Planned Battery Component Supply in North America through 2035
There is the potential for rapid growth in battery manufacturing in North America in the coming years, as indicated by investment plans which companies have announced. Argonne National Laboratory is tracking these investment announcements to understand the availability of domestically produced battery cells and battery components over the next decade. We find that companies have made announcements for over 1,300 GWh/year of lithium-ion battery cell production by 2030, enough to conservatively supply ten million electric vehicles and expected growth in stationary grid storage. From 2021 to 2032, battery cell production is modeled to grow 28-fold. For each of the core battery components of lithium-ion batteries (cathodes, anodes, separators, electrolytes, and foils), we describe the current announced capacities for materials with respect to cell production and end-use demand, finding similar rapid growth for each.
Micro-Quantification of Helium-3 and Helium-4 in TPBAR Components
This report documents the method development for measuring helium isotopes in micrometer-sized samples of tritium producing burnable absorption rod (TPBAR) components. Helium isotopes were measured as a tracer for tritium, which decays to 3 He with a half-life of 12.33 years. Getter and cladding materials from the TPBARs were analyzed, as they are designed to trap tritium. Therefore, constraining the diffusivity of tritium through these materials is of key importance. To first establish the reliability of the noble gas mass spectrometer, a reference gas with a relative 4 He/ 3 He ratio of 1000 was pre-mixed. This standard was measured several times to ensure measurements were reproducible. Unirradiated and irradiated getter and cladding samples of TPBARs were cut into 1-100 µm 3 cubes and analyzed for 3 He and 4 He content. The unirradiated materials had helium content equal to or less than that of the measured instrument background. Irradiated cladding also had instrument background levels of helium while irradiated getters had elevated levels of 3 He, interpreted to be the decay product of tritium. No diffusion of 4 He was observed in any of these materials, however, indicating that the 3 He detected in the irradiated getter was produced in situ after tritium diffusion and decay. These findings validate this method as a way to trace tritium diffusion in reactor materials.
Improving Density Curve Predictions and Uncertainty Quantification with Functional Data Analysis [Slides]
Los Alamos National Laboratory (LANL) has developed advanced simulation methods for predicting subsurface flow.
Testing of Microchannels and Lab-Grown Stress Corrosion Cracks for Quantification of Aerosol Transmission
The formation of a stress corrosion crack (SCC) in the canister wall of a dry cask storage system (DCSS) has been identified as a potential issue for the long-term storage of spent nuclear fuel. The presence of an SCC in a storage system could represent a through-wall flow path from the canister interior to the environment. Modern, vertical DCSSs are of particular interest due to the commercial practice of using higher backfill pressures in the canister, up to approximately 800 kPa, compared to their horizontal counterparts. This pressure differential offers a relatively high driving potential for blowdown of any particulates that might be present in the canister. In this study, the rates of gas flow and aerosol transmission of a spent fuel surrogate through an engineered microchannel with dimensions representative of an SCC were evaluated experimentally using coupled mass flow and aerosol analyzers. The microchannel was formed by mating two gage blocks with a linearly tapering slot orifice nominally 13 μm (0.005 in.) tall on the upstream side and 25 μm (0.0010 in.) tall on the downstream side. The orifice is 12.7 mm (0.500 in.) wide by 8.86 mm (0.349 in.) long (flow length). Surrogate aerosols of cerium oxide, CeO 2 , were seeded and mixed with either helium or air inside a pressurized tank. The aerosol characteristics were measured immediately upstream and downstream of the simulated SCC at elevated and ambient pressures, respectively. These data sets are intended to add to previous testing that characterized SCCs under well-controlled boundary conditions through the inclusion of testing improvements that establish initial conditions in a more consistent way. While the engineered microchannel has dimensions similar to actual SCCs, it does not reproduce the tortuous path the aerosol laden flow would have to traverse for eventual transmission. SCCs can be rapidly grown in a laboratory setting given the right conditions, and initial characterization and clean-flow testing has begun on lab grown crack samples provided to Sandia National Laboratories (SNL). Many such samples are required to produce statistically relevant transmission results, and SNL is developing a procedure to produce samples in welded steel plates. These ongoing testing efforts are focused on understanding the evolution in both size and quantity of a hypothetical release of aerosolized spent fuel particles from failed fuel to the canister interior and ultimately through an SCC.
Practical VVUQ–The Interplay of Model Form, Uncertainty Quantification and Error in Computational Predictions from a Validation Assessment Perspective [Slides]
Abstract not provided.
A Polynomial Chaos Approach for Uncertainty Quantification of Monte Carlo Transport Codes
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