Engineering Commons^™

Control Of Industrial Robots Based On Artificial Intelligence, Bryan Lara Medrano

Open Access Theses & Dissertations

Industrial robots are vital in developing smart factories, creating the need for more efficient and modern control systems. As a result, investigators and scholars are dedicating great effort to advancing this field et al. [27]. Literature showcases significant progress in various areas, including the control of articulated arms and advancements in human-robot interfaces, self-decision-making, object recognition, decision-making, and routing planning. This manuscript describes a novel technique for predicting the movement of a robotic arm based on artificial neural networks. We have implemented an artificial intelligence method based on artificial neural networks to analyze the possible routing of a robotic arm …

Aimr-Brainstorm: Ai-Enhanced Interactive Mixed Reality For Collaborative Ideation, Yuchuan Ma

Dartmouth College Master’s Theses

This study investigates the potential of an AI-enhanced Mixed Reality (MR) brainstorming system, named AIMR-Brainstorm, in comparison to traditional sticky notes for creative ideation. By integrating real-time idea extraction through ChatGPT with immersive, physics-based visualizations, the system aims to transform analog brainstorming workflows into dynamic, interactive digital experiences. Using a within-subject experimental design, 30 participants engaged in paired brainstorming sessions with both AIMR and sticky notes. Quantitative measures of efficiency, engagement, creativity, and user satisfaction were collected through between-session and post-study surveys, while qualitative feedback provided additional insights into user experiences. Conclusively, while traditional sticky notes were generally preferred for …

Comparative Performance Analysis Of Cryptographic Workloads Across Cloud Providers: A Multi-Language Study On Faas And Iaas Platforms Dataset, Jeremiah Webb

Doctoral Dissertations and Master's Theses

Cloud computing has become a relatively new paradigm for the delivery of compute resources, with key management services (KMS) playing a crucial role in securely handling cryptographic operations in the cloud. This paper presents the microbenchmark of cloud cryptographic workloads, including SHA HMAC generation, AES encryption/decryption, ECC signature/verification, and RSA encryption/decryption, across Function-as-a-Service (FaaS) and Infrastructure-as-a-Service (IaaS) in conjunction with KMS offerings from Ama- zon Web Services (AWS) and Microsoft Azure to conduct a comparative performance analysis. The methodology involves the AWS Cloud Development Kit (CDK) and the Bicep language to deploy AWS Lambda Functions and Azure Functions, respectively, to …

Adaptive Control Of Thrusters To Account For Deficiencies In Actuator Effectiveness And Model Uncertainties, Matthew Stanko

Doctoral Dissertations and Master's Theses

Future space missions are expected to become ever more ambitious and challenging. A successful mission requires advanced and resilient control algorithms that enable missions, such as satellite refueling, on-orbit inspection, and end-of-life servicing. This thesis explores the development and application of robust and adaptive control laws for an over-actuated spacecraft system with 3 degrees of freedom (DoF) to mitigate the effects of actuator deficiencies and system uncertainties. Additionally, the nature of the system being over-actuated allows for particular actuator degradation and failure. For stability and command tracking, a novel controller is designed and augmented with sliding mode control, adaptive control, …

Analysis Of Responder-Involved Struck-By Crashes, Jacob Wilhelm

Doctoral Dissertations and Master's Theses

Emergency responders face significant risks of injury and death from struck-by crashes while operating on or near roadways. Annually, about 50 responders are killed, and hundreds more are injured, leading to operational disruptions and damage to life-saving equipment (ERSI, 2024). This study takes a data-driven approach to identify key risk factors and effective countermeasures for reducing the severity of struck-by crashes. Key findings indicate that struck-by crashes most frequently occur on weekends during late-night hours (2 AM–4 AM), often at crash scenes or disabled vehicle scenes on limited-access highways. Driver behavior – particularly “D” drivers (distracted, drugged, drowsy, disgruntled) – …

Evaluating The Impact Of Access Density On Pedestrian And Bicycle Safety, Charles Hruda

Doctoral Dissertations and Master's Theses

This study examines the impact of access density on pedestrian and bicycle crash rates in urban areas of Florida. Access management, defined as the strategic control of vehicular access points along roadways, plays a crucial role in mitigating conflicts between various roadway users. Previous research has established a positive correlation between access density and crash rates, yet limited studies have analyzed its effects on vulnerable road users such as pedestrians and cyclists.

To quantify these impacts, this study identified high-crash roadway segments using Florida Department of Transportation (FDOT) data. Geometric, traffic, crash, and access management information was collected and analyzed …

Engineering Anisotropic Porosity In Green Parts From Binder Jet 3d Printing, Reshma Chandrashekhar Kubsad

Doctoral Dissertations and Master's Theses

Binder Jet Additive Manufacturing (BJAM) is a promising metal additive manufacturing technique that enables the fabrication of complex geometries without the need for support structures. However, the inherent porosity in green parts, remains a challenge in achieving desired mechanical properties and performance. Instead of treating porosity as a limitation, this thesis explores engineering of anisotropic porosity engineering, where controlled variations in porosity in the green parts can be used to enhance functionality and efficiency in specific applications. The objective of this research is to investigate and analyze the key print parameters that influence green part density. By systematically varying layer …

The Interaction Of A Transient Forward Axial Disturbance Flow With A Rotor, Zhuorui Li

Doctoral Dissertations and Master's Theses

This research presents an in-depth investigation of the aeroacoustic characteristics of a scaled-down Joby Aviation rotor, focusing on its performance under realistic conditions for urban air mobility (UAM). Utilizing a high-fidelity numerical simulation approach that combines Large-Eddy Simulation (LES) and Unsteady Reynolds-Averaged Navier-Stokes (URANS) models, the study effectively captures the complex aerodynamic and acoustic interactions inherent in rotor operations. Validation of the numerical framework was achieved through comprehensive comparisons with available experimental data, demonstrating a high level of accuracy in predicting both aerodynamic performance metrics, including thrust and torque, as well as acoustic emissions. The simulation revealed significant impacts resulting …

Antenna Multi-Band Enhancement By Employing Negative Impedance Converters, Kevin Pepin

Doctoral Dissertations and Master's Theses

This thesis presents the implementation of a Negative Impedance Converter (NIC) integrated with a planar monopole antenna, originally centered at 2.9 GHz, to create a multi-band network. The network exhibits resonances at frequencies of 0.9 GHz, 1.5 GHz and 1.9 GHz. The work highlights the design process of pairing a NIC with a capacitive, single-band antenna, addressing key challenges such as overcoming the limitations associated with low self-resonant frequency (SRF) inductors. The design process included the use of measurement-based component models and radio-frequency simulations using Keysight Advanced Design Systems (ADS). The developed NIC emulates a -0.99 pF capacitor using two …

Aeroacoustics Applications To Jets And Rotors, Michael Marques G.

Doctoral Dissertations and Master's Theses

Aeroacoustics plays a critical role in the advancement of propulsion technologies for both conventional and emerging aerial systems. This dissertation investigates two key topics: noise suppression in supersonic rectangular jets and rotor noise characterization in hover and ground effect. Using high-fidelity numerical simulations and theoretical analyses, this research aims to develop effective noise mitigation strategies and improve predictive methodologies.

The first part of this study focuses on the reduction of noise in supersonic rectangular jets through active control techniques. A novel approach utilizing unsteady microjet actuation at the nozzle lip is explored to disrupt the formation of large-scale turbulent structures …

Coupled Dynamics In The Cislunar Region And Spacecraft Attitude Prediction In A Higher-Fidelity Model​, Annika Anderson

Doctoral Dissertations and Master's Theses

The cislunar region of space is a complex, multi-body dynamical environment that cannot be modeled trivially. Traditional point-mass assumptions made to simplify the mission design process may be insufficient for accurately predicting spacecraft motion in environments where orbit-attitude coupling is non-negligible. One of the most famous of such models is the circular restricted three-body problem. This thesis advances the state of the art in astrodynamics by modeling all bodies in the problem as rigid bodies, allowing for spacecraft orientation to be propagated and considered. Two models are under consideration—the circular restricted full three-body problem (CRF3BP) and a full higher-fidelity ephemeris …

Machine Learning Methods For Hypervelocity Fragment Flyout Characterization, Katharine Larsen

Doctoral Dissertations and Master's Theses

Resulting from breakup events, such as collisions and explosions, hypervelocity fragments create potential hazards for both terrestrial and on-orbit environments, such as terrestrial weapons explosions and satellite breakup events, respectively. To avoid unnecessary damage, an accurate understanding or characterization of hypervelocity fragmentation events is vital. Currently, publicly available two-line elements collected from on-orbit breakup events are limited, excluding pre-detonation parent body conditions, such as orientation, and information of smaller fragments. The uncertainty of these datasets varies between each collected set. Therefore, the overall goal of this work is to employ machine learning to estimate distribution characteristics of a space debris …

Automated Plant Morphological Assessment And Microbial Community Monitoring In Simulated Lunar Regolith, Collin R. Topolski

Doctoral Dissertations and Master's Theses

Upcoming lunar bases will need to leverage in-situ resources to ensure long-term sustainability and reduce mission costs. One key challenge is food production, which could be addressed by growing crops in lunar regolith-based substrates. However, lunar regolith lacks essential nutrients, requiring organic amendments to support continuous plant cultivation. This study examined the impact of manure-amended lunar regolith simulant on Mizuna mustard growth while assessing microbial community diversity and functionality. To support this effort, a custom software pipeline utilizing an open-source library, PlantCV, was developed to automatically track plant leaf area and height via image analysis. Results indicated that amended rhizosphere …

Stability Limits Of Uncertain Systems In The Presence Of Unmatched Coupled Dynamics And Actuator Dynamics With Adaptive Architectures, Bronson Saulo

Doctoral Dissertations and Master's Theses

Uncertain systems with coupled dynamics and actuator dynamics are prevalent in various applications spanning private, commercial, and government sectors. While stabilization and command tracking strategies exist, they often rely on idealized assumptions, such as negligible actuator bandwidth limitations and matched coupled dynamics. In order to mitigate actuator-induced limitations, we first employ standard model reference adaptive control (MRAC) architectures. We then proposed two architectures: modified hedging reference modeled based MRAC and modified expanded reference model based MRAC. In order to deal with coupled dynamics, we used an observer design to estimate the states of unmatched coupled dynamics. In addition, Lyapunov stability …

Smart End Effector Docking System, Matthew Becker, Julie Corey, Mia Gallarate, Rachel Lee, Adam Shpolyansky

Mechanical Engineering Senior Theses

The Smart End Effector Docking System (S.E.E.D.S.) serves as an autonomous docking system to assist with replenishing fluid and charging the Agricultural Robot (AgBot) that has been developed by the Robotic Systems Laboratory. The docking system aims to improve autonomous capabilities by allowing the AgBot to recharge and transfer fluid independently, removing the need for human involvement. The S.E.E.D.S. project can additionally help to address labor shortages and safety hazards associated with agricultural workers by providing several functions including fluid transfer and power transfer for charging.

Trigger Buddy, Alex Requadt, Alan Chen, Max Fernandez

Mechanical Engineering Senior Theses

Gun violence in the United States, particularly unauthorized firearm use by children and impulsive suicides, remains a devastating public health crisis. Despite widespread use of gun safes and locks, many remain ineffective or inconvenient, with most unauthorized users accessing firearms that were either unlocked or secured with easily bypassed mechanisms. Biometric locks present a promising alternative, but existing products often fall short in speed, reliability, and usability. To address this gap, we developed Trigger Buddy, a biometric handgun lock designed to balance accessibility, durability, and security. Trigger Buddy mounts directly to a handgun's picatinny rail and uses a fingerprint sensor …

3d Printing Filament Machine (Revers3d), Jairo Gonzalez, John Gonzalez, Jaime Garcia, Xiaotian (Stephen) Yan, Andrew Huynh, Jose Canez

Mechanical Engineering Senior Theses

The Reverse3D printer project aims to develop an innovative machine that recycles leftover 3D printed parts into new, usable spools, promoting sustainability in the 3D printing community. The project will create a new dimension of versatility when using 3D printing filament while still being user-friendly. The device will incorporate a grinding unit to grind up the parts, a heating element, an extrusion system, a cooling system, and a spooling system to create a continuous filament strand. Our ultimate goal is to grind the plastic to a size capable of being melted down and molded into a spool-like form suitable for …

Bronco Evtol: Vfs 2024 - 2025 Dvbf, Caroline Barbar Askar, Lanie Pritchard, John Bowers, Jacob Finley, Gus Gianotti, Luke Helwee

Mechanical Engineering Senior Theses

Common vertical take-off vehicles, such as helicopters, have been useful for transportation, rescue, and fire-fighting applications. However, these vehicles contribute significantly to CO2 emissions and are extremely loud. Electric vertical take-off and landing vehicles ( e VTOLs) have been proposed as an alternative vehicle which can perform the same functions, without the costs associated with a helicopter. In this paper, we develop a conceptual design for an eVTOL which satisfies the requirements of the annual Vertical Flight Society's Design-Vertical-Build-Fly Competition. We focus our conceptual design on three subsystems: Propulsion, Airfoils, and Controls. These subsystem designs are verified using Finite Element …

2025 Aiaa Design/Build/Fly, Chris Campanile, Michael Cavan, Tyler Choo, Jason Dionida, Mateo Jovicic, Zane Kempler, Cole Lourenco, Derek Nease, Spencer Roberts

Mechanical Engineering Senior Theses

This thesis presents the design, fabrication, and testing of Santa Clara University's 2025 AIAA Design/Build/Fly (DBF) competition aircraft. The project comprises two integrated systems: the Mothership (MS), a 6-ft wingspan electric aircraft, and the Autonomous Parasite Glider (APG), designed to complete four missions: rapid assembly, airworthiness, efficient fuel transport, and autonomous glider deployment. MS employs a tapered wing with an MH 20 airfoil and a Scorpion SII-4025-520 kV motor, selected for aerodynamic efficiency and mission-specific payloads, including wingmounted steel-filled fuel tanks. The APG, constructed from carbonreinforced foam, is deployed via spring latch and guided by an Ardupilot GPS controller.

Development …

S.P.R.O.U.T (Seedling Planting And Robotic Observation With Unsupervised Tracking), Katharine Ott, Joshua Spagnola, Brayden Ristow, Elliot Clyde, Anshuman Sahu, Zen Yamao

Computer Science and Engineering Senior Theses

The current commercial agriculture market reveals two significant gaps: one for small-scale farmers needing automation, and another for the efficient planting of seedlings. Acquiring large-scale automated equipment is often impractical for small-scale farmers due to high costs and the mismatch between commercial-scale solutions and the needs of smaller operations, creating a need for accessible robotic solutions. The Seedling Planting and Robotic Observation with Unsupervised Tracking (SPROUT) design addresses this gap by developing an autonomous seedling planting attachment for the Agriculture robot (Agbot) platform - a modular agricultural robot developed by Santa Clara University (SCU). This year’s work involved designing and …

Portable Stage, Theo Cabot, Martin Decker, Liam Jacobo

Mechanical Engineering Senior Theses

The following report details the design, analysis, manufacturing, and testing of the prototype for the Portable Auto-Leveling Stage. Time and labor constraints required the prioritization of crucial safety subsystems over those conceived with performance enhancement in mind. FEA simulations displayed expected results on a fully assembled stage unit, whereas physical testing was run on one of the leg assemblies and the unconstrained stage deck. Wiring and verification of input response came to fruition in a testing system untethered to the physical stage deck.

Data-Driven Decision Making For Quality Control In Foundry Applications, Ronit Shetty

Dissertations

In the transformative landscape of Industry 4.0, advanced quality control in manufacturing demands innovative methods for processing and analyzing datasets. This dissertation presents a comprehensive study on leveraging high volume data and machine learning to enhance decision making in the foundry industry. The research explores three crucial challenges in the foundry industry: predicting surface roughness, monitoring refractory coating thicknesses, and comparing feature extraction techniques for surface quality classification. The findings underscore the transformative potential of integrating advanced feature engineering techniques and machine learning into manufacturing quality control.

The first of the three challenges introduces a framework that integrates digital images …

Observations Of Sea Ice Thermal Strain And Motion At Geophysically Relevant Scales, Larson M. Kaidel

Dartmouth College Ph.D Dissertations

Ongoing and unprecedented Arctic sea ice change as a result of anthropogenic climate change impacts life in the Arctic and beyond. The sea ice cover is becoming less expansive, thinner, younger, and more dynamic. Quantifying processes and properties that differ between old versus young and thick versus thin ice is central understanding the sea ice cover, improving climate change predictions, and developing strategies to adapt and mitigate the adverse effects of sea ice loss. Therefore, we seek to better understand how a key inherent ice property, the thermal strain coefficient, changes as ice types change, and observe how sea ice …

Understanding Firn Dynamics: Modeling And Microstructure From East Antarctica, Ilyse Horlings

Dartmouth College Ph.D Dissertations

Glacier ice is formed from the accumulation of snow and its compaction through a transitional material called firn. Firn dynamics are fundamentally influenced by climatic factors, such as temperature and snow accumulation rate, and so are crucial for understanding a number of cryospheric applications. For example, ice-sheet mass loss contributions to sea-level rise from repeat satellite-altimetry observations depend on calculating firn density and its evolution. Past atmospheric gases in ice core bubbles are often younger than the surrounding ice, and their exact age depends on how firn closes off interconnected pores to become impermeable. Models often estimate bulk properties, such …

Helical Products Parts Display Stand, Binh Nguyen, Emily Yuan Mendyke, Zoe Porter

Mechanical Engineering

Helical Products needs a new product display stand that will demonstrate their custom springs, couplings, and u-joints. Their current display stand, a marble run contraption, is large, loud, and difficult to transport, so they would like the new stand to remedy these issues. The goal of this senior project is to create a display stand that captures the attention of their customers with dynamic product demonstrations while addressing the issues outlined above.

The new display stand is also a marble run contraption, but instead of being almost 4 feet tall and 3 feet long, it is 23” tall, 26.25” long, …

Techniques For Enabling Advanced Adas Features: Operation In Inclement Weather And Use Of Infrastructure Information, Parth Kadav

Dissertations

Modern vehicles have undergone a transformation with the widespread integration of Advanced Driver Assistance Systems (ADAS) technology becoming the new standard and are set to be mandated by the by the National Highway Traffic Safety Administration (NHTSA) for all passenger vehicles and light trucks. ADAS features have proven to prevent or mitigate crashes by either alerting or assisting the driver. ADAS typically utilizes a forward-facing camera, which comes standard in modern vehicles to provide limited automation features such as Lane Keeping Assist (LKA), and Lane Centering Assist (LCA) to improve driver safety. These systems rely on the assumption that vehicle …

Turbulence And Energetic Ion Production In The Partially Magnetized Hollow Cathode Plume, Margaret Mary Mooney

Dissertations

Hall effect thrusters (HETs) are the most widely used electric propulsion (EP) device for in-space satellite propulsion. EP devices provide high efficiencies for extended mission lifetimes and low thrust for precision maneuvers. The hollow cathode is a critical HET component and undergoes extensive lifetime testing in addition to the lifetime testing of the full HET. Significant density gradients, non-Maxwellian electron behavior, and magnetic fields sufficiently strong enough to magnetize electrons in hollow cathode plumes create favorable conditions for the formation of plasma instabilities, which have an impact on cathode lifetime. Cathode qualification testing is typically conducted independently and includes a …

Explainable And Reduced-Feature Machine Learning Models For Shape And Drag Prediction Of A Freely Moving Drop In The Sub-Critical Weber Number Regime, Md Amanullah Kabir Tonmoy

Theses and Dissertations

Accurately predicting the shape and drag of a moving drop is crucial in many spray applications. However, due to the complex interaction between the drag force and drop shape deformation, accurate prediction of drop shape and drag from Computational Fluid Dynamics (CFD) simulation requires large computational resources and time. A novel data-driven approach using NARXNN (Non-linear Auto Regressive eXogenous input Neural Network) is proposed in this study, which recurrently predicts the drop shape and drag for a given Weber number (We) and Reynolds number (Re), in the sub-critical We regime where there is no drop breakup. The average error in …

Towards The Advancement Of Violence Recognition In Security Footage With Explainable Neural Networks, Paris Her

Dissertations (1934 -)

This dissertation investigates the problem of violence recognition in surveillance footage using computer vision and machine learning techniques. More specifically, our goal is to achieve interpretable and explainable deep learning models because violence recognition is a sensitive task. We first propose to perform violence recognition using a 3D convolutional neural network through intuitive hyperparameter tuning and transfer learning. We utilize a state-of-the-art 3D model used for general activity recognition that is lightweight and adjustable. Along with that, we introduce a data augmentation technique called "resize-within" which uses interpolation, rather than cropping, to resize the original input video to a new …

Flex-Fuel Mixing-Controlled Combustion Enabled By Prechamber Ignition (Pc-Mcc), Jared J. Zeman

Dissertations (1934 -)

There is an imminent need to displace fossil diesel fuel with cleaner burning, domestically produced, renewable fuels for use in heavy-duty engines. Bioethanol is a prime candidate as it widely adopted in the U.S. as a gasoline additive ranging in volume percentage from 10% (E10) up to 85% (E85). Direct substitution of market available ethanol-gasoline blends for diesel fuel is not plausible as the stark reactivity differences would not constitute the same ignition quality nor achieve auto-ignition at all. This work focuses on the development of prechamber enabled mixing-controlled combustion (PC-MCC) as an advanced ignition strategy to facilitate reliable ignition …