AE Brown Bag Seminar
Friday, March 13
11:00 a.m. - 1:20 p.m.
Guggenheim 442
Nafez Ahmmed
Kaitlyn Moreira
Hector Sanchez
Samuel Gatewood
Wyatt Moses
Brandon Vo
Tom Hoang
Nafez Ahmmed
Title:
Simulation and Optimization of Passive Soft-Body Swimmers
Abstract:
Fish in vortex wakes exhibit station-keeping and energy extraction through a Kármán gait, a phenomenon that recent literature suggests can emerge as a passive synchronized motion. This study investigated the effects of 2D airfoil geometry, material choice, and flow conditions on translating and expanding real-world experiments in differentiable simulations. By parametrically modeling soft-bodied swimmers, we aim to enable gradient-based optimization of swimmer geometry to enhance station-keeping performance. These findings pave the way for future work in autonomous soft aquatic robotics and energy-harvesting systems.
Faculty Advisor:
Professor Bolei Deng
Kaitlyn Moreira
Title:
Mission Operations Training and Scheduling Constraints for University CubeSat Projects
Abstract:
University CubeSat projects are reliant on student members and that creates different operational challenges that professional missions may not have. Due to launch pushbacks and student graduations, there can be significant member turnover from initial formation and planning phases to launch and operation. This creates significant need for well-developed training materials and mission procedures for operators coming in with less knowledge. The required training and possible departure of qualified operators of leadership roles can cause limits on the number of people in each role. Post-launch contact scheduling is impacted by the operational roles and availability of operators which can be severely affected by their status as students. This presentation will focus on how the human constraints imposed by university student operators impact the training and planning aspects of mission operations.
Faculty Advisor:
Professor Glenn Lightsey
Hector Sanchez
Title:
Trajectory Based Analysis for Thermal Protection System Sizing
Abstract:
The Stardust Reentry Capsule (SRC) will be used as a validation case to analyze stagnation point heating for a given trajectory during atmospheric entry. An accurate estimation of the stagnation point heating is required to determine the necessary size of the thermal protection system (TPS). A numerical simulation will be developed to analyze this heating for the SRC's entry trajectory, and this model will be validated against the available data for the SRC. Once this model is validated, this tool can be used to establish TPS requirements for any given vehicle geometry and entry trajectory.
Faculty Advisor:
Professor John Dec
Samuel Gatewood
Title:
Combustor Exhaust Temperature Testing
Abstract:
In this seminar I will speak about my experience in the Ben T Zinn combustion Lab working on testing an auxiliary power unit for exhaust temperature profile as well as spool up profile. I will cover experimental setup, construction of my test rig, and progress thus far on my experiment. I will also go over basics of jet engine architecture, pattern factor and considerations for combustor exhaust temperature profile based on design, and complications stemming from spool-up fuel feed.
Faculty Advisor:
Professor Adam Steinberg
Wyatt Moses
Title:
Model-Based System Engineering Approach for Lunar Base Architecture
Abstract:
Faculty Advisor:
Research Engineer Jeff McNabb
Brandon Vo
Title:
Fluent in ANSYS Fluent
Abstract:
ANSYS Fluent is a renowned computational fluid dynamics (CFD) software and an essential tool in an aerospace engineer's toolbox. Through the research semesters with my faculty advisor, I've learned valuable skills and insights into how to use ANSYS Fluent. From looking at aerodynamic applications to analyzing blood flow in a human body, Fluent's versatility in its applications is what makes it such an important tool.
Faculty Advisor:
Professor Lakshmi Sankar
Tom Hoang
Title:
Machine Learning Based Approaches for Rotorblade Flow Field Reconstruction
Abstract:
Accurate measurement of rotor blade airloads is essential for the accurate validation of numerical models, but obtaining the required data via direct installation of sensors can be challenging. This presentation discusses Gaussian Process (GP)-based approaches used to reconstructing flow fields using experimentally obtained Particle Imaging Velocimetry (PIV) data. The proposed method employs a GP spatial model to reconstruct higher-fidelity flow fields from PIV data that may contain sparse vector fields or void areas due to experimental limitations. Using the reconstructed flow field, thrust produced by the rotor blade can be estimated.
Faculty Advisor:
Professor Juergen Rauleder