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Ink & Repurcussions
Get PDFShortly after being inaugurated as President of the United States, Eli Gideon is presented with a book. Though it appears to be a mere book, it possesses the power to alter reality. Eli, believing himself worthy of this power, begins to make changes that, initially small in scope, grow - as do the consequences. The global landscape slowly becomes unrecognizable as Eli\u27s ego pushes to bring order - but will he bring destruction instead
Harnessing Environmentally Healthy Approaches for Plastic Degradation: A Review and Future Perspectives
Get PDFIn the face of escalating plastic pollution, innovative degradation strategies, such as enzymatic degradation, smokeless incineration technology, and biodegradable plastics, are gaining traction. This paper collates comprehensive research on these methods, assessing their environmental impact and operational feasibility. A special focus is placed on the role of technology and its capacity to spark advancements in these degradation strategies as well as to draw on specific research to understand the economic implications of these methods. At the core of this study is the exploration of potential new, inventive degradation methodologies. Through examining methods of green plastic degradation, the study aims to align its findings with the growing demand for these strategies. The paper concludes with an in depth speculative future trajectory of innovation in plastic degradation, underlining the promise these techniques hold
Liquid Rocket Engine Thermal Analysis
No full textHeat sink engines serve as a starting point for engine and injector development. They work by absorbing and dissipating heat into the chamber. While not utilized for flight, the design process for heat sinks is far simpler than that for ablative or regeneratively cooled engines. Test fires of Heat sink engines will provide the necessary data to validate injector design and chamber geometry. The most important detail of a test is how safe it is. The engine design plays a key role in this, but so does the test duration. Heat sinks are limited in how long they can fire based on the property of the material it is made of. Maximizing test duration while maintaining safety is crucial for teams wanting to test their engine and collect the most data from it. However, no software is available for teams to run thermal analysis to determine their test duration. The software developed in this project aims to fill that gap. A critical component of the thermal analysis is a stop condition. At first glance, one might think that the stop condition is when the material melts but due to a non uniform temperature gradient in the chamber thermal stresses will become very large and upon cool down will not go away entirely causing the engine to crack, if this happens and a team does not know they could attempt to fire their engine again and the crack could cause the chamber to blow up. Transient thermal analysis is run using a numeric solution in MATLAB\u27s partial differential equation toolbox. The analysis is run for a small time step, then reads the temperature of the nodes to determine if it has reached a critical temperature; if so, the solver will stop and report back the time at which the chamber reaches critical temperature, if it has not reached critical temperature then another time step is solved and the process repeats. The software allows users to input their own engine geometry and thermal data from Rocket Propulsion Analysis, a commonly used program to determine chamber geometry and propellant flow rate requirements. This software will be experimentally validated through the test firing of a 3001bf Lox/Ethanol heat sink engine. The engine will use an additively manufactured impinging doublet injector for simplicity and will have radial and axial thermal couples to validate the heat transfer model and stop conditions. Once validated, the software will be available to any team wishing to run a thermal analysis on their engine to allow for the safest test which yields the most amount of data
Multi-Modal Aerial Object Detection for Enhanced Airport Safety
Get PDFThe rise of small unmanned aerial systems (sUAS) near airports presents growing safety risks, including mid-air collisions, operational disruptions, and security threats. Current detection systems, such as radar and optical tracking, struggle to reliably identify and classify aerial — particularly non-cooperative drones — under variable operational conditions.
This research proposes a multi-modal aerial object detection system that combines six sensor modalities to enable real-time surveillance. By integrating sensor fusion and machine learning (ML), the system aims to improve detection and classification accuracy, reduce false positives, and support Real-time Decision-making for airport safety personnel. The research aims to evaluate system performance under varied weather and lighting conditions and develop a scalable framework for enhanced Situational Awareness in airport operations
