Temporal Evolution of Corrosion Film Nano-Porosity and Magnesium Alloy Hydrogen Penetration in NaCl Solution
Not Available
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗
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Results for “Porosity”
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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Hierarchical Porosity in Electrospun Capacitive Deionization Electrodes
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Material Science↗
CO2 Rock Physics Code with Compliant Porosity and CO2 Weakening
An NRAP funded code development for CO2 storage. This code converts reservoir simulations to seismic properties for underground CO2 storage.
Creasy, Neala↗
WEIMOS: Shear Behaviors of Bedded Salt Clay Seams and Their Impact on Disposal Room Porosity.
Abstract not provided.
Sobolik, Steven↗
Raptor: A Python Library for Porosity Predictions in Additive Manufacturing
Raptor is an efficient Python library for simulating stochastic lack-of-fusion (sLoF) defects in additive manufacturing (AM) processes. These defects arise from stochastic variations in the melt pool boundary leading to undermelting from insufficient overlap between adjacent melt pools or successive layers (Grasso & Colosimo, 2017; Khairallah et al., 2016). Performance variability of AM parts is a pressing challenge in qualification and certification of AM parts; this is in part due to the poorly understood formation rate and statistics of sLoF defects. Raptor is designed to capture the explicit morphologies of sLoF defects and their statistics to accelerate qualification and certification efforts of AM parts in critical applications.
Subraveti, Vamsi [Vanderbilt University]↗
Feature Extraction and Porosity Assessment on Thick Stainless Steel 316 Samples with Embedded Slots.
Abstract not provided.
Moore, David G.↗
Feature Extraction and Porosity Assessment on Thick Stainless Steel 316 Test Samples with Embedded Slots.
Abstract not provided.
Moore, David G.↗
Porosity Determination and Classification of Laser Powder Bed Fusion AlSi10Mg Dogbones Using Machine Learning [Slides]
Abstract not provided.
42 ENGINEERING↗
Effect of Particle Velocity on Porosity and Residual Stress in Aerosol Deposited Refractory Films.
Abstract not provided.
Murray, Shannon Elizabeth↗
WEIMOS: Shear Behaviors of Bedded Salt Clay Seams and Their Impact on Disposal Room Porosity.
Abstract not provided.
Sobolik, Steven↗
Feature Extraction and Porosity Assessment of Thick Additive Manufactured Stainless Steel 316 Using Enhanced Segmentation.
Abstract not provided.
Moore, David↗
Molecular Dynamics to Explore the Role of Temperature, Water, and Porosity in Dynamic Shock Compression of SiO2
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Lane, James Matthew Doyle↗
Effects of Temperature, Pressure, and Particle Size on the Porosity and Gas Adsorption of Type 3 Porous Liquids
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Hurlock, Matthew↗
Development of a Machine Learned Model for Room Porosity
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Reedlunn, Benjamin↗
Variable porosity as a method of cavity receiver hotspot mitigation
Presentation relating to concentrated solar thermal receiver designing
14 SOLAR ENERGY↗
Upscaling of permeability and porosity evolution through pore scale reactive transport modeling
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Yoon, Hongkyu↗
High-Throughput Characterization Tools/Algorithms To Outline Porosity Variability in AM Samples as a Function of Processing Conditions
This report documents the development and deployment of advanced algorithms and tools that enable high-throughput characterization for metal additive manufacturing (AM), with a particular focus on process parameter optimization and material/part qualification for nuclear applications. While the method ologies presented support diverse characterization techniques, the majority of the work is centered on AI-driven algorithms for X-ray computed tomography (XCT) to accelerate defect detection and materials analysis at scale.
36 MATERIALS SCIENCE↗