Now showing items 1-8 of 8

    • Additive Manufacturing & G Code 

      Ewuzie, Emmanuel; Perkins, Briley; Aristizabal, Mauricio; Balcer, Matthew; Millwater, Harry (7/28/2022)
      Additive Manufacturing (AM) is the process of building physical objects by layering materials. It is controlled by G code and a myriad of other codes. CAD models are sliced and converted into a layer by layer code (G Code). ...
    • Fabrication of mini UB2 ingots via Arc melt synthesis using a customized copper hearth 

      Facundo, Jesus, U; Montoya, Katherine; Kirtley, Thomas; Sooby, Elizabeth S. (7/28/2022)
      As growing efforts take place to enhance the operational safety of nuclear reactors, fuel composites have been explored as replacement to the traditionally used Uranium dioxide (UO2). One potential candidate that has been ...
    • Identification of Pd-Si Compounds in Diffusion Couple Studies to Complement AGR PIE reports 

      Stone, Jordan; Cavazos, Steven; Montoya, Katherine; Kirtley, Thomas; George, Gisele; Sooby, Elizabeth, S. (7/28/2022)
      Palladium (Pd) and silver (Ag) are known fission products of TRISO particle nuclear fuels [1]. Pd is known to corrode the silicon carbide (SiC) layer of a TRISO particle, which can compromise the overall fuel performance ...
    • Identifying Gamma Radiation Anomaly Signals Using Quantum Computation Methods 

      Foate, Joshua; Valdez, Luis; Alamaniotis, Miltos (7/28/2022)
      Collected data using a radiation detector to identify anomalies in the presence of naturally occurring radioactive material. Samples of the anomaly signals were put into a Hopfield neural network to train the network ...
    • Probe Beam Deflection Technique as a Characterization Method for Nuclear Materials 

      Carle, Lydia; Escudero, Jose; Flowers, Jacob; Nash, Kelly (7/28/2022)
      Probe beam deflection technique (PBDT) was evaluated as a potential method of characterization for both radioactive and non radioactive materials. This method was chosen for its non destructive nature. The analyte of ...
    • Semantic Segmentation for Materials Classification of Nuclear Fuels 

      Mohanadhas, Daniel; Snyder, Chris; Fernandez, Amanda (7/28/2022)
      Semantic segmentation, the task of classifying objects in an image at a pixel level, has been done since 2012. While our method is not new, our application is. Unlike most tasks which are on clearly-defined objects, the ...
    • Strategic Freezing 

      Seligman, Zachary; Patrick, David; Fernandez, Amanda (7/28/2022)
      Convolutional neural networks (CNNs) are notoriously data-intensive, requiring significantly large datasets for training accurately in an appropriate runtime. Recent approaches aiming to reduce this requirement focus ...
    • Understanding of Additive Manufacturing with the Combination of the Flexible Manufacturing Process 

      Perkins, Briley; Ewuzie, Emmanuel; Aristizabal, Mauricio; Balcer, Matt; Millwater, Henry (7/28/2022)
      Additive Manufacturing is 3D printing which requires a set of repeating steps throughout the process. STL, or Standard Triangle Language, is the most important step in the printing process that allows the model to be ...