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Articles 1 - 3 of 3
Full-Text Articles in Dynamics and Dynamical Systems
Viscosity Dependence Of Faraday Wave Formation Thresholds, Lisa M. Slaughter
Viscosity Dependence Of Faraday Wave Formation Thresholds, Lisa M. Slaughter
Symposium
This experiment uses an electromagnetic shaker to produce standing wave patterns on the surface of a vertically oscillating sample of silicon liquid. These surface waves, known as Faraday waves, form shapes such as squares, lines, and hexagons. They are known to be dependent upon the frequency and amplitude of the forcing as well as on the viscosity and depth of the liquid in the dish. At a depth of 4mm and for various silicon liquids having kinematic viscosities of 10, 20, and 38 cSt, we determined the acceleration at which patterns form for frequencies between 10 and 60 Hz. For …
Liquid Slosh Analysis Using Smoothed Particle Hydrodynamics, Kristopher S. Field
Liquid Slosh Analysis Using Smoothed Particle Hydrodynamics, Kristopher S. Field
Doctoral Dissertations and Master's Theses
The purpose of the research described here is to study the implementation of Smoothed Particle Hydrodynamics (SPH) algorithms as an adequate means for propellant slosh simulations in 1g and 0g environments. The dualSPHysics solver has been adapted for propellant slosh simulations. Simulated sloshing liquid frequency and damping ratio data for 1g cases has been compared to existing experiments for both spherical and prismatic container geometries. The 0g case has been studied to determine what further modifications would be required to obtain realistic simulations results. The findings in this research will be used to create a sloshing simulation to determine torques …
Applying Spiking Neural Network Simulation To Neuromodulatory Autonomous Robot Control, Cameron Muhammad
Applying Spiking Neural Network Simulation To Neuromodulatory Autonomous Robot Control, Cameron Muhammad
Phi Kappa Phi Research Symposium (Archived)
In this paper, simulation of the brain based on an artificial spiking neuron model is used to create a self-learning algorithm. The spiking neuron simulation is used to demonstrate a neuromodulation program in which the reward seeking properties of dopamine, the risk-adverse effects of serotonin, and the attention-focusing effects of the cholinergic and noradrenergic systems are applied to a mobile robotic platform as it moves autonomously throughout an environment. External stimuli is recorded by the program as spiking “events” that result in corresponding amounts of dopamine and serotonin influenced spiking patterns. These spiking patterns affect how the robot adapts to …