Brown Bag Seminar
Friday, March 31, 2023
11:00 am – 12:00 pm
Weber, Classroom II
Title: Optimization of Staged Combustors for Air Quality Considerations
For decades, increasingly stringent aviation emissions regulations have been driving the aviation industry to reduce its impact on local air quality, primarily limiting production of nitrogen oxides (NOx) and carbon monoxide (CO). Recent interest has formed around the potential for developing hybridized propulsion systems that can reduce the large turndown ratios in modern engines, thereby improving emissions and fuel economy. As part of a NASA ULI project for developing such a system, the design of a novel clean sheet combustor is required. Existing combustor designs, including lean premixed (LPM) and rich-quench-lean (RQL) combustors, focus on minimizing regulated emissions but generally do not allow for the operational flexibility required by hybrid systems. Using detailed Jet-A chemistry, one-dimensional reactor networks were developed using Cantera and Python to model novel axial air and fuel staged (AFS) combustors. These computational models were used to study the impact of different staging designs on NOx emissions and operational capability across a large suite of potential conditions. Optimizing combustors for air quality objectives will have different combustor design implications, many of which will continue to be explored through further modeling and experimental testing.
Advisor: Professor Adam Steinberg
Behavior Systems Analysis (BSA) and Failure Modes and Effects Analysis (FMEA) of a Controllable System
When designing a system, it is the engineer's responsibility to understand and analyze the system components, the interactions between components, and the system constraints and limitations throughout the system life cycle. Model-based systems engineering (MBSE) offers a robust methodology that can be used to define system requirements, behaviors, and structures. This project focused on developing the behavior models of a controllable system. To do this, a variety of diagrams were used including activity, sequence, use case, and state machine diagrams. These diagrams were used to define the boundaries of the system, the users of the system, and the purpose of the system. In addition, a failure modes and effects analysis (FMEA) was performed to assess the system safety level and identify possible failure modes in the system design.
Advisor: Professor Selcuk Cimtalay & Dimitri Mavris
Guidance, Navigation, and Control for the OrCa2 12U CubeSat Mission
dOrCa2 is a 12U CubeSat currently being developed in Georgia Tech’s Space System Design Laboratory under Dr. Brian Gunter. Following its predecessor of OrCa1, the OrCa2 satellite will play host to many exciting experimental payloads including a star tracking imager, horizon sensors, as well as custom EPS and battery packs that can be used on future CubeSat missions. Due to past developments, the mission has been given a sun-synchronous orbit which allows for many exciting opportunities in the area of GNC. Utilizing three magnetometers and one reaction wheel we plan on achieving all desired control including detumbling, sun pointing, and an earth-facing flip maneuver.
Professor Brian Gunter