Is this project an undergraduate, graduate, or faculty project?
Undergraduate
Project Type
individual
Campus
Daytona Beach
Authors' Class Standing
Joseph Wilhelm, Senior
Lead Presenter's Name
Joseph Wilhelm
Lead Presenter's College
DB College of Engineering
Faculty Mentor Name
Jean-Michel Dhainaut
Abstract
When studying the dynamics of a bullet’s trajectory, multiple variable effects can be measured to attain predictive depiction of the bullet’s behavior. Much of this data has been studied and tested with proven success of limited predictive value. The goal of this paper is to create a reliable model for estimating the trend of how the speed of the bullet affects the drag acting on the bullet and using that inferred data to gain a rough estimate of where the bullet will hit on a given target. The idea behind this is the application of Proper Orthogonal Decomposition and Radial Basis Function to gain a prediction with limited error of where the bullet will end. What was learned through this process is that this combined process does in fact predict the trend the bullet takes with little error and does this process at a fraction of the traditional predictive time.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
Yes, Spark Grant
External Ballistics: Parameter estimation using POD-RBF
When studying the dynamics of a bullet’s trajectory, multiple variable effects can be measured to attain predictive depiction of the bullet’s behavior. Much of this data has been studied and tested with proven success of limited predictive value. The goal of this paper is to create a reliable model for estimating the trend of how the speed of the bullet affects the drag acting on the bullet and using that inferred data to gain a rough estimate of where the bullet will hit on a given target. The idea behind this is the application of Proper Orthogonal Decomposition and Radial Basis Function to gain a prediction with limited error of where the bullet will end. What was learned through this process is that this combined process does in fact predict the trend the bullet takes with little error and does this process at a fraction of the traditional predictive time.