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Skip to Search Results- 2Atai, Ali Asghar.
- 2Belay, Tsegay
- 2Bhaduri,Swayamdipta
- 2Brenneis, Dylan
- 2Carrigy, Nicholas B.
- 2Chen, Jie
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Spring 2021
There is a growing trend of using unmanned aerial vehicles (also known as UAVs, uncrewed aerial vehicles, or drones) to manipulate and interact with their surroundings. The algorithms and tools used are typically unique to the different tasks performed by UAVs; however, the fundamental UAV system...
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Localized Surface Modification of High Strength Aluminum Alloys using Cold Spraying and Friction Stir Processing
DownloadFall 2021
Dimensional restoration and repair methodologies for cold-worked aluminum (Al) alloys are very limited due to strength degradation that occurs during heat application in the process. For example, friction stir processing (FSP) is a well-documented repair methodology for various alloys, but it...
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Low Profile Corrugated Structures for Surface Wave Suppression and Multipath Mitigation in GNSS Antennas
DownloadFall 2021
Multipath interference is an error generating issue in high-accuracy global navigation satellite system (GNSS) applications. Since the propagation of surface waves along the surface of antenna structure is the root cause for reception of multipath signals in GNSS antennas, surface wave...
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Low Temperature Difference Alpha-Type Stirling Engine for the Experimental Determination of Optimal Parameters to Maximize Shaft Power
DownloadSpring 2020
An investigation was performed experimentally to determine the combination of parameters that would produce the maximum shaft power for an alpha-type Stirling engine using a thermal source with a temperature below 100 °C. The primary objective of the study was to design and build an alpha-type...
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Low-frequency and macro-Raman analysis of respirable dosage forms and their sampling with a low flow rate single-nozzle cascade impactor
DownloadSpring 2015
Applications of Raman spectroscopy to respirable dosage forms are explored in this thesis. First, a high performance Raman system enabling low-frequency Raman signal detection is described and used for pharmaceutical sample analysis. Applications to species identification and solid state...
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Fall 2022
Internal Combustion Engines (ICEs) are ubiquitous; they power a wide range of systems. The broad use of ICEs globally causes more than 20% of the total greenhouse gas emissions. In many countries, emission legislation is transitioning from certification using only traditional chassis dynomometer...
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Machine Learning for Emission Modeling of Fossil-fueled and Hydrogen-fueled Internal Combustion Engines
DownloadFall 2023
Development of fast and accurate emission models for engine-out and tailpipe of internal combustion engines (ICEs) using machine learning (ML) and hybrid methods are the focus of this thesis. The application is on medium and heavy-duty vehicles powered by both fossil fuels and alternative fuels...