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University of New Orleans Theses and Dissertations

2021

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Full-Text Articles in Engineering

Silver Microparticle And Submicron Wire - Polylactic Acid Composites For Additive Manufacturing, Jenna W. Robichaux Dec 2021

Silver Microparticle And Submicron Wire - Polylactic Acid Composites For Additive Manufacturing, Jenna W. Robichaux

University of New Orleans Theses and Dissertations

This thesis explores the incorporation of silver microparticle and submicron wire additives into thermoplastic filament feedstock for fused filament fabrication (FFF) to create multifunctional three-dimensional (3D) printable composites. The impact of silver microparticle and submicron wire additives on mechanical behavior along with antibacterial effect of the silver microparticle and submicron wire additives on printed objects were assessed.

Composite FFF filaments were fabricated by solution processing, granulation, and extrusion. Differential Scanning Calorimetry (DSC) was conducted to measure the glass transition and melting point temperatures of the composite filaments for 3D printing. The effect of the additive addition on the thermal properties …


A Machine Learning Method For The Prediction Of Melt Pool Geometries Created By Laser Powder Bed Fusion, Jonathan Ciaccio Dec 2021

A Machine Learning Method For The Prediction Of Melt Pool Geometries Created By Laser Powder Bed Fusion, Jonathan Ciaccio

University of New Orleans Theses and Dissertations

A machine learning model is created to predict melt pool geometries of Ti-6Al-4V alloy created by the laser powder bed fusion process. Data is collected through an extensive literature survey, using results from both experiments and CFD modeling. The model focuses on five key input parameters that influence melt pool geometries: laser power, scanning speed, spot size, powder density, and powder layer thickness. The two outputs of the model are melt pool width and melt pool depth. The model is trained and tested by using the k fold cross validation technique. Multiple regression models are then applied to find the …


A Gis-Swmm System To Evaluate Low Impact Development (Lid) Feature Effectiveness On Uno's Campus, Demetria C. Christo Dec 2021

A Gis-Swmm System To Evaluate Low Impact Development (Lid) Feature Effectiveness On Uno's Campus, Demetria C. Christo

University of New Orleans Theses and Dissertations

The EPA’s Storm Water Management Model (SWMM) includes the ability to model low impact development (LID) systems involving various types of green infrastructure (GI) for stormwater detention and infiltration.

The SWMM model requires hydrologic attribute inputs for individual subcatchments, including percent impervious surfaces, surface roughness, depression storage, and curve number. These SWMM attributes can be more accurately, consistently, and efficiently be defined in GIS by calculating the subcatchment area-weighted attribute values and importing them to SWMM. Thus, GIS becomes a valuable pre-processing input tool for SWMM-LID modeling.

The three objectives of this thesis are to 1) use GIS geoprocessing tools …


The Race To Fifty Feet: An Effort To Determine The Benefits Of Deepening The Mississippi River, Brian Miles Nov 2021

The Race To Fifty Feet: An Effort To Determine The Benefits Of Deepening The Mississippi River, Brian Miles

University of New Orleans Theses and Dissertations

This research examined the benefits and drawbacks of deepening the Lower Mississippi River to fifty feet. It established that the deepening of the Lower Mississippi River will impact not only the local area but also the inland regions that rely on the river systems and lower river ports for product movement. The perspectives of vessel operators, maritime industry experts and charterers are provided to offer insight. The sources for the research include educational literature, maritime research and interviews of industry experts. Based on this research, it is clear that this project will benefit many parties. The beneficiaries will include both …


Numerical Study On Oscillating Flow Over A Flat Plate Using Pseudo-Compressibility In Intermittent Turbulent Regime, Shivank Srivastava Mr. May 2021

Numerical Study On Oscillating Flow Over A Flat Plate Using Pseudo-Compressibility In Intermittent Turbulent Regime, Shivank Srivastava Mr.

University of New Orleans Theses and Dissertations

A Computational Fluid Dynamic (CFD) in-house code is developed to study unsteady characteristics of incompressible oscillating boundary layer flow over a flat plate under laminar and intermittently turbulent condition using pseudo-compressible unsteady Reynolds Averaged Navier- Stokes (RANS) model. In the in-house code, the two-dimensional, unsteady conservation of mass and momentum equations are discretized using finite difference techniques which employs second order accurate (based on Taylor series) central differencing for spatial derivatives and second order Runge-Kutta accurate differencing for temporal derivatives. The in-house code employs Fully Explicit-Finite Difference technique (FEFD) to solve the governing differential equations of the mathematical model. In …


Dimensionless Analysis Of Trajectories Of Cylindrical Objects Dropped Into Water In Two Dimensions, Yi Zhen May 2021

Dimensionless Analysis Of Trajectories Of Cylindrical Objects Dropped Into Water In Two Dimensions, Yi Zhen

University of New Orleans Theses and Dissertations

Nondimensionalization is powerful technique and is widely applied in the study of fluid mechanics and engineering because it helps to reduce the number of free parameters, identify the relative size of effects of parameters, and gain a deeper insight of the essential nature of phenomena. The nondimensionalization of 2D theory has been completed by the author (Zhen et.al.,2020) and new dimensionless equations of motion were obtained. In this study, new dimensionless dynamic equations are extended by incorporating new parameters to cope with various environmental conditions. The new dimensionless analysis of dropped cylindrical objects is consisted of four parts.

Part 1, …


Convolutional Neural Networks For Deflate Data Encoding Classification Of High Entropy File Fragments, Nehal Ameen May 2021

Convolutional Neural Networks For Deflate Data Encoding Classification Of High Entropy File Fragments, Nehal Ameen

University of New Orleans Theses and Dissertations

Data reconstruction is significantly improved in terms of speed and accuracy by reliable data encoding fragment classification. To date, work on this problem has been successful with file structures of low entropy that contain sparse data, such as large tables or logs. Classifying compressed, encrypted, and random data that exhibit high entropy is an inherently difficult problem that requires more advanced classification approaches. We explore the ability of convolutional neural networks and word embeddings to classify deflate data encoding of high entropy file fragments after establishing ground truth using controlled datasets. Our model is designed to either successfully classify file …


Low Impact Development Mitigation For Base Flood Elevation Disparity Between Adjacent Properties, Shaelynn Moore May 2021

Low Impact Development Mitigation For Base Flood Elevation Disparity Between Adjacent Properties, Shaelynn Moore

University of New Orleans Theses and Dissertations

Disputes between adjacent property owners in which new development at higher elevation requirements has caused adverse effects in stormwater drainage towards lower, older developments has recently grown in concern. The difference of elevations between properties causes a faster sheet flow effect that bypasses existing drainage paths in the servitude. The goal of this research is to design a low impact development methodology that encourages detention and redirection back toward the shared drainage boundary. Detention is encouraged through subsurface infiltration, storage and re-direction of the flow path. Infiltration trench simulations using EPA’s SWMM software were used to mirror the new LID …


A Novel Variable Reluctance Resolver With Simplified Winding Arrangement And Adaptive Pi Controller, Bikram Bhandari May 2021

A Novel Variable Reluctance Resolver With Simplified Winding Arrangement And Adaptive Pi Controller, Bikram Bhandari

University of New Orleans Theses and Dissertations

Conventional variable reluctance resolvers require a complicated winding arrangement (i.e., one set of excitation winding and two sets of signal winding), high-frequency ac supply, extra circuit component to demodulate the high frequency induced voltage (i.e., amplitude demodulation circuit), and a resolver-to-digital converter with the PI controller. The thesis presents an innovative design solution to reduce the structural complexity of the resolver and improve the functionality of the controller unit. The proposed novel design simplifies the winding arrangement and eliminates the necessity of the demodulation signal processing circuit component. In addition, the conventional PI controller is being replaced by the adaptive …