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Full-Text Articles in Engineering
Gas Gap Conductance Between Ht9 And Ss316, Michael Luke Scoggins, Chris Martinez
Gas Gap Conductance Between Ht9 And Ss316, Michael Luke Scoggins, Chris Martinez
Student Research Symposium
Inside a nuclear reactor, it is important to understand in detail the heat transfer between surfaces. This research aims to ensure the safety of new fuel experiments in the Idaho National Laboratory test reactor by studying the thermal properties of stainless steel and high temperature steel surfaces with a microscopic gas gap between them. The complex behavior of the gas requires a combination of experimental and theoretical modeling. A technique called laser flash analysis is being applied to calculate the effective thermal conductivity of the metal-gas-metal composite sample. From there, gap conductance is calculated using the other known physical parameters …
Camp: An Algorithm To Recover Sparse Signals With Unknown Clustering Pattern Using Approximate Message Passing, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Camp: An Algorithm To Recover Sparse Signals With Unknown Clustering Pattern Using Approximate Message Passing, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Student Research Symposium
Recovering clustered sparse signals with an unknown sparsity pattern for the single measurement vector (SMV) problems is considered. The notion of sparsity in this context is referred to the signals having very few non-zero elements in some known basis. In the SMV, the objective is to recover a sparse or compressible signal from a small set of linear non-adaptive measurements. The case considered in this paper is that the signal of interest is not only sparse but also has an unknown clustered pattern, which occurs in many practical situations. In this case, we propose a sparse Bayesian learning algorithm simplified …
Arakniprint: 3d Printing Of Synthetic Spider Silk To Produce Biocompatible And Resorbable Biomaterials, Ashley Ruben, Brianne Bell, Chase Spencer, Craig Soelberg, Dan Gil, Thomas Harris, Richard Decker, Timothy A. Taylor, Randolph V. Lewis
Arakniprint: 3d Printing Of Synthetic Spider Silk To Produce Biocompatible And Resorbable Biomaterials, Ashley Ruben, Brianne Bell, Chase Spencer, Craig Soelberg, Dan Gil, Thomas Harris, Richard Decker, Timothy A. Taylor, Randolph V. Lewis
Student Research Symposium
At $3.07 billion in 2013, the 3D printing industry was projected to reach $12.8 billion in 2018 and exceed $21 billion by 2020 (Wohlers and Caffrey, 2013). A lucrative part of this expanding industry includes printing biocompatible medical implants, devices, and tissue scaffolds. A common problem encountered with traditional devices, implants, and tissue scaffolds is that they are not unique to the patient and lack the necessary strength and biocompatibility. To answer these demands, customizable devices are being produced from patient medical scans and CAD designs using 3D printers. These printers traditionally use thermoplastics because of the ease with which …
Online Dissemination Of Official Information - The 2014 Carlton Complex Wildfires, Apoorva Chauhan
Online Dissemination Of Official Information - The 2014 Carlton Complex Wildfires, Apoorva Chauhan
Student Research Symposium
Using the 2014 Carlton Complex wildfires as a case study, we explore how emergency responders and the news media shared official information online during this crisis event. We first identified the local emergency response and news media agencies for this event and then collected data from each agency’s Facebook account, Twitter account, and website. The data show that most of the online information about this event came from the local agencies handling the event. The data also show that in most cases, event updates were first reported online by the local news media of the affected cities and communities. We …
Secretion Of Bioplastic Polymers From Methanotrophic Bacteria Grown Using Natural Gas, Chad L. Nielsen, Charles D. Miller
Secretion Of Bioplastic Polymers From Methanotrophic Bacteria Grown Using Natural Gas, Chad L. Nielsen, Charles D. Miller
Student Research Symposium
Biodegradable bioplastics show promise as a replacement for traditional plastics. Cost of production due to the cost of feedstocks and separation/purification processes are the main obstacles to widespread use of bioplastics. The possibility of reducing these costs through using methane gas as a feedstock and genetically transforming a methanotrophic bacterium to secrete bioplastics was investigated through experimentation. The bacteria are a promising option for bioplastic production.
Shear Testing Of Precast Concrete Sandwich Wall Panel Composite Shear Connectors, Taylor Sorensen, Jaiden Olsen, Marc Maguire
Shear Testing Of Precast Concrete Sandwich Wall Panel Composite Shear Connectors, Taylor Sorensen, Jaiden Olsen, Marc Maguire
Student Research Symposium
As energy codes become more stringent, thermal efficiency of Precast Concrete Sandwich Panel Walls has become more important. This paper addresses the problem of predicting the behavior of full scale precast concrete sandwich panel walls, using data collected from small, inexpensive push-off specimens. Several fiber reinforced polymer (FRP) connectors being used today underwent shear testing performed on component scale push-off specimens. Each specimen contained several of the FRP connectors and the variables studied were wythe thickness, insulation type and insulation bond. A simplified beam spring model was created which uses beams to represent the concrete wythes and shear springs to …
Sparse Recovery With Unknown Sparsity Pattern Via Multiple Measurement Vectors, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Sparse Recovery With Unknown Sparsity Pattern Via Multiple Measurement Vectors, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Student Research Symposium
In this work, we investigate finding the supports of sparse signals via multiple measurement vectors (MMVs). MMV can be thought as a collection of single measurement vectors (SMVs), in which all the SMVs share the same sparsity pattern, referred to as joint sparsity in the literature. The term sparse is referred to the signals that have very few non-zero (active) elements. The SMV problem is essentially a computational problem related to compressive sensing (CS) with the core idea of providing the possibility of measuring and representing a sparse or compressible signal from a small set of non-adaptive linear measurements. Here, …