Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Entire DC Network
Ng-Torque/Tension Testing Of Bolts With Epoxy Primer, Gabrielle Van Brunt
Ng-Torque/Tension Testing Of Bolts With Epoxy Primer, Gabrielle Van Brunt
Undergraduate Honors Capstone Projects
This capstone project is in conjunction with Northrop Grumman (NG). The goal of the project is for NG to apply an epoxy in the future to aerospace structures that they produce. This epoxy is meant to prevent corrosion of threaded joints in the structures. Although NG has the epoxy and has no issues procuring it, NG does not know the properties of the epoxy; it cannot be used until the epoxy’s nut factor is experimentally determined. The epoxy nut factor will be used for design and drawing purposes on various projects. To determine the nut factor, the Aggiepoxy team created …
Small Spacecraft Thermal Control Louvers, James Anthony Mullen
Small Spacecraft Thermal Control Louvers, James Anthony Mullen
Undergraduate Honors Capstone Projects
Small satellites missions are becoming increasingly complex and are requiring more power. These demands lead to temperature fluctuations on the satellite due to spacecraft layout, sunlight and shadow in orbit, and high-powered instrumentation. Products which provide necessary thermal stability for components on the satellite are desirable to small satellite manufacturers.
In September of 2015, Dr. Allison Evans of the NASA Goddard Space Flight Center filed a patent for an innovative louver system configured for small satellite applications. The design was sized for satellites with a 1U form factor and utilized bimetallic springs to lift the louver flaps. The design was …
Regression Tree Predictive Filter, Jarren Worthen
Regression Tree Predictive Filter, Jarren Worthen
Undergraduate Honors Capstone Projects
Many algorithms have been developed to predict future samples of a signal. These algorithms, such as the recursive least squares predictive filter, rely on the assumption that the system generating the signal can be modeled as a linear system of equations. These systems perform poorly when used to predict signals generated by non-linear systems. To predict a non-linear signal, non-linear methods must be used. Regression trees are a simple form of machine learning that is non-linear in nature and can predict output based on a set of given input. The goal of this capstone project was to develop an algorithm …