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Full-Text Articles in Engineering

Thenar Muscle And Transverse Carpal Ligament Relationship, Jeremy Granieri Loss Jan 2019

Thenar Muscle And Transverse Carpal Ligament Relationship, Jeremy Granieri Loss

ETD Archive

The transverse carpal ligament (TCL) acts as a partial origin for the thenar muscles (abductor pollicis brevis (APB), flexor pollicis brevis (FPB), opponens pollicis (OPP)). The attachment between the thenar muscles and TCL implies a relationship between the tissues. The thenar muscles rely on their origins for thumb motion and force production. However, individual thenar origin information is lacking. Further information regarding the anatomical relationship between the individual thenar muscles and TCL may provide insight into thenar muscle function. In addition, the TCL responds to thenar muscle contraction as shown by volar migration of the TCL during various thumb movements ...


Design, Control, And Optimization Of Robots With Advanced Energy Regenerative Drive Systems, Poya Khalaf Jan 2019

Design, Control, And Optimization Of Robots With Advanced Energy Regenerative Drive Systems, Poya Khalaf

ETD Archive

We investigate the control and optimization of robots with ultracapacitor based regenerative drive systems. A subset of the robot joints are conventional, in the sense that external power is used for actuation. Other joints are energetically self-contained passive systems that use ultracapacitors for energy storage. An electrical interconnection known as the star configuration is considered for the regenerative drives that allows for direct electric energy redistribution among joints, and enables higher energy utilization efficiencies. A semi-active virtual control strategy is used to achieve control objectives. We find closed-form expressions for the optimal robot and actuator parameters (link lengths, gear ratios ...


Adsorption Induced Solid Phase Transition Of Mil-53(Al), Rushik G. Bandodkar Jan 2019

Adsorption Induced Solid Phase Transition Of Mil-53(Al), Rushik G. Bandodkar

ETD Archive

Metal organic frameworks (MOFs) are nano-porous solids with potential applications in a wide range of fields including gas separation and catalysis. A number of metal organic frameworks show structural transformation and exceptional flexibility on changing the temperature, pressure and adsorption of certain guest molecules. On the contrary, most of the porous solids like zeolites and activated carbon used in applications are rigid. The structural flexibility makes MOF materials very interesting to study and show promise in applications such as sensors, actuators, membrane separation and adsorptive separation. In this study, we examine the chemical potential difference (Δμ) of MIL-53 (Al), a ...


Catalytic Waste Gasification: Water-Gas Shift & Selectivity Of Oxidation For Polyethylene, Mason J. Lang Jan 2019

Catalytic Waste Gasification: Water-Gas Shift & Selectivity Of Oxidation For Polyethylene, Mason J. Lang

ETD Archive

As landfills approach capacity and take up valuable land space, metropolitan areas have realized the need for waste disposal alternatives. Thus, there has been a widespread use of waste incinerators in Europe and the United States [1]; [2]. Although newer technology has made incinerators more efficient, there is an increasing interest in formulating `greener’ alternatives to incinerators. Gasification converts organic and carbonaceous materials into a combination of gaseous products known as “syngas,” or synthetic gas. This process greatly reduces the amount of hazardous emissions. The syngas produced by gasifiers has a wide range of uses, including their conversion into diesel ...


Robust Impedance Control Of A Four Degree Of Freedom Exercise Robot, Santino Joseph Bianco Jan 2019

Robust Impedance Control Of A Four Degree Of Freedom Exercise Robot, Santino Joseph Bianco

ETD Archive

The CSU 4OptimX exercise robot provides a platform for future research into advanced exercise and rehabilitation. The robot and its control system will autonomously modify reference trajectories and impedances on the basis of an optimization criterion and physiological feedback. To achieve this goal, a robust impedance control system with trajectory tracking must be implemented as the foundational control scheme. Two control laws will be compared, sliding mode and H-infinity control. The above robust control laws are combined with underlying impedance control laws to overcome uncertain plant model parameters and disturbance anomalies affecting the input signal. The sliding mode control law ...


Development Of Enhanced Weed Detection System With Adaptive Thresholding, K-Means And Support Vector Machine, Dheeman Saha Jan 2019

Development Of Enhanced Weed Detection System With Adaptive Thresholding, K-Means And Support Vector Machine, Dheeman Saha

Electronic Theses and Dissertations

This paper proposes a sophisticated classification process to segment the leaves of carrots from weeds (mostly Chamomile). In the early stages, of the plants’ development, both weeds and carrot leaves are intermixed with each other and have similar color texture. This makes it difficult to identify without the help of the domain experts. Therefore, it is essential to remove the weed regions so that the carrot plants can grow without any interruptions. The process of identifying the weeds become more challenging when both plant and weed regions overlap (inter-leaves). The proposed system addresses this problem by creating a sophisticated means ...


Quantifying The Performance Of The Protodune Single Phase Neutrino Detector Using Computational Fluid Dynamics, Dillon Pedersen Jan 2019

Quantifying The Performance Of The Protodune Single Phase Neutrino Detector Using Computational Fluid Dynamics, Dillon Pedersen

Electronic Theses and Dissertations

The goal of this research is to provide scientifically-valid computationally generated data of the flow, thermal, and impurity data of the ProtoDUNE single phase detector. Results are compared and validated against an actual detector that is currently being utilized to collect temperature and impurity data. This research will investigate the flows inside these detection chambers using computational fluid dynamics to find approximate solutions to the governing equations of fluid mechanics. Impurity and flow data will allow researchers to determine if results collected are being obstructed by high levels of impurity. Novel approaches have been developed to strike a balance between ...


The Effects Of 3d Printing Parameters And Surface Treatments On Convective Heat Transfer Performance, Lucas N. Pereira Jan 2019

The Effects Of 3d Printing Parameters And Surface Treatments On Convective Heat Transfer Performance, Lucas N. Pereira

Electronic Theses and Dissertations

Additive manufacturing technology and applications have quickly expanded in many industries over the last five years. As additive manufacturing is studied and refined, improvements in resolution and strength have helped propel further growth of the industry. This study focuses on an additive manufacturing technology called fused filament fabrication (FFF). FFF involves the extrusion and layer-by-layer deposition of a molten thermoplastic material to create the desired part. One potential new application of fused filament fabrication is the manufacture of heat exchangers and heat sinks. This study focuses on developing baseline experimental data related to convective heat transfer coefficients over surfaces of ...


Modeling Runoff From Small Agricultural Watersheds In Eastern South Dakota, Bryce Siverling Jan 2019

Modeling Runoff From Small Agricultural Watersheds In Eastern South Dakota, Bryce Siverling

Electronic Theses and Dissertations

The capability to be able to consistently and accurately model any problem has potential time and money savings. The present study aimed to determine if the Natural Resources Conservation Service’s Curve Number (CN) model or the more detailed Soil and Water Assessment Tool (SWAT) Model can consistently and accurately model runoff events from small agricultural fields in Eastern South Dakota. The overall goal was to better understand models used to predict runoff and determine if they can produce accurate estimates of runoff from the watersheds being studied. Runoff measurements were collected from an agricultural field located south of Coleman ...


Stream Flow Analysis Of The Big Sioux River Just South Of Brookings, South Dakota, Samuel Ruppert Jan 2019

Stream Flow Analysis Of The Big Sioux River Just South Of Brookings, South Dakota, Samuel Ruppert

Electronic Theses and Dissertations

Floods are the most common type of natural disaster in the world and one of the most damaging. Changes in climate conditions such as precipitation and temperature are causing changes in stream flow. This means that in order to better understand flooding and possibly develop a system for making flood predictions, stream flow needs to be analyzed more closely. The primary objective of this thesis is to analyze the Big Sioux River just south of Brookings, South Dakota, both annually and seasonally. The United States Geological Survey (USGS) has stream gauges placed in rivers and streams all over the United ...


Modeling The Effect Of New Commuter Bus Service On Demand And The Impact On Ghg Emissions: Application To Greater Boston, Christopher Lyman Jan 2019

Modeling The Effect Of New Commuter Bus Service On Demand And The Impact On Ghg Emissions: Application To Greater Boston, Christopher Lyman

Masters Theses

The transportation sector is considered one of the major contributors to greenhouse gas (GHG) emissions in metropolitan areas, and any efforts to reduce these emissions requires strategic management of multiple transportation modes. This paper presents a method to identify opportunities to reduce GHG emissions by expanding commuter bus services and incentives to shift commuters from private cars to transit. The approach uses a nested multinomial logit model for mode choice in a region that includes driving alone, carpooling, walking, cycling, and using four possible transit modes (ferry, commuter rail, rapid transit and bus) by walk access or driving access. A ...


The Umass Experimental X-Band Radar (Umaxx): An Upgrade Of The Casa Ma-1 To Support Cross-Polarization Measurements, Jezabel Vilardell Sanchez Jan 2019

The Umass Experimental X-Band Radar (Umaxx): An Upgrade Of The Casa Ma-1 To Support Cross-Polarization Measurements, Jezabel Vilardell Sanchez

Masters Theses

Ground-based radars are instruments commonly used to surveil the precipitation climate of the surrounding areas. Weather events are characterized by collecting backscatter data and analyzing computed products such as the Reflectivity Factor, the Doppler Velocity, the Spectrum Width, the Differential Reflectivity, the Co-polar Correlation Coefficient and the Differential Propagation Phase. The ability of the radar to transmit different polarization waves, such as horizontal and vertical polarization, allow for further analysis of the weather given the capability to perform co-polar and cross-polar measurements. The Linear Depolarization Ratio is another computed product based on the difference in power between the co-polarized and ...


Computational Fluid Dynamics Models Of Electromagnetic Levitation Experiments In Reduced Gravity, Gwendolyn Bracker Jan 2019

Computational Fluid Dynamics Models Of Electromagnetic Levitation Experiments In Reduced Gravity, Gwendolyn Bracker

Masters Theses

Electromagnetic levitation experiments provide a powerful tool that allows for the study of nucleation, solidification and growth in a containerless processing environment. Containerless processing allows for the study of reactive melts at elevated temperatures without chemical interactions or contamination from a container. Further, by removing the interface between the liquid and its container, this processing technique allows for greater access to the undercooled region for solidification studies. However, in these experiments it is important to understand the magnetohydrodynamic flow within the sample and the effects that this fluid flow has on the experiment.

A recent solidification study found that aluminum-nickel ...


On The Fuel Spray Applications Of Multi-Phase Eulerian Cfd Techniques, Gabriel Lev Jacobsohn Jan 2019

On The Fuel Spray Applications Of Multi-Phase Eulerian Cfd Techniques, Gabriel Lev Jacobsohn

Masters Theses

Eulerian-Eulerian Computational Fluid Dynamics (CFD) techniques continue to show promise for characterizing the internal flow and near-field spray for various fuel injection systems. These regions are difficult to observe experimentally, and simulations of such regions are limited by computational expense or reliance on empiricism using other methods. The physics governing spray atomization are first introduced. Impinging jet sprays and Gasoline Direct Injection (GDI) are selected as applications, and modern computational/experimental approaches to their study are reviewed. Two in-house CFD solvers are described and subsequently applied in several case studies. Accurate prediction of the liquid distribution in a like-doublet impinging ...


Model Study Of The Static And Cyclic Lateral Capacity Of Finned Piles, Kepha Odhambo Abongo Jan 2019

Model Study Of The Static And Cyclic Lateral Capacity Of Finned Piles, Kepha Odhambo Abongo

Theses and Dissertations

The main objective of this thesis is to examine systematically the proposed improved performance of finned piles over monopiles when subjected to lateral static and cyclic loading. In order to achieve this objective, both physical and numerical simulations were conducted on finned and monopile and outcomes were analyzed for design recommendations. The physical tests were performed on scaled model piles at 1:100 reductions of typical wind turbine monopile foundations.The cyclic lateral load tests were conducted on the scaled down foundation models at 1g condition. Cyclic tests were conducted to evaluate the long-term performance of the finned piles under ...


Computational Study Of Water Desalination Using Forward Osmosis, Ahmed Mohammed Alshwairekh Jan 2019

Computational Study Of Water Desalination Using Forward Osmosis, Ahmed Mohammed Alshwairekh

Theses and Dissertations

Forward Osmosis is a natural phenomenon that takes places across a semi-permeable membrane when there is a concentration difference across the membrane. Pure water permeates to the highly concentrated channel until the concentration across the membrane equilibrates. In water desalination applications, the same principle is applied. Spiral-wound membrane, flat sheet, or hollow fiber module are typical configurations in forward osmosis desalination modules. The application of water desalination using forward osmosis requires the existence of two channels separated by a suitable forward osmosis membrane. Sea or Brackish water is introduced in one side while the other side has a suitable draw ...


Performance And Stability Of Cacl2·6h2o-Based Phase Change Materials, Joshua Charles Jan 2019

Performance And Stability Of Cacl2·6h2o-Based Phase Change Materials, Joshua Charles

Theses and Dissertations

Thermal energy storage is receiving increased attention as the world transitions away from fossil fuels and seeks to improve the efficiency of existing energy production systems. While higher-temperature thermal energy storage has received the majority of attention in the field, thermal energy storage at temperatures close to ambient conditions may also have some practical applications. Hydrated salt phase change materials (PCMs) store thermal energy in this temperature range and can have high gravimetric and volumetric energy storage capacities while having a very low cost. Despite the benefits of these salts, they generally suffer from supercooling, phase segregation during cycling, and ...


Distributed Algorithms In Large-Scaled Empirical Risk Minimization: Non-Convexity, Adaptive-Sampling, And Matrix-Free Second-Order Methods, Xi He Jan 2019

Distributed Algorithms In Large-Scaled Empirical Risk Minimization: Non-Convexity, Adaptive-Sampling, And Matrix-Free Second-Order Methods, Xi He

Theses and Dissertations

The rising amount of data has changed the classical approaches in statistical modeling significantly. Special methods are designed for inferring meaningful relationships and hidden patterns from these large datasets, which build the foundation of a study called Machine Learning (ML). Such ML techniques have already applied widely in various areas and achieved compelling success. In the meantime, the huge amount of data also requires a deep revolution of current techniques, like the availability of advanced data storage, new efficient large-scale algorithms, and their distributed/parallelized implementation.There is a broad class of ML methods can be interpreted as Empirical Risk ...


An End-To-End Platform For Autonomous Dynamic Soaring In Wind Shear, Corey Montella Jan 2019

An End-To-End Platform For Autonomous Dynamic Soaring In Wind Shear, Corey Montella

Theses and Dissertations

Despite advancements in our understanding of flight in modern times, birds remain unmatched when it comes to maneuverability and energy efficiency in flight; in particular seabirds like the albatross are known to travel vast distances without stopping for food by performing an aerobatic maneuver called dynamic soaring. When the maneuver is executed in the presence of a wind field that varies in strength of direction, the albatross extracts kinetic energy from the field. In this dissertation, we present an end-to-end system designed to exploit wind as the albatross does. The system we designed consists of a gliding platform outfitted with ...


Conic Optimization: Optimal Partition, Parametric, And Stability Analysis, Ali Mohammad-Nezhad Jan 2019

Conic Optimization: Optimal Partition, Parametric, And Stability Analysis, Ali Mohammad-Nezhad

Theses and Dissertations

A linear conic optimization problem consists of the minimization of a linear objective function over the intersection of an affine space and a closed convex cone. In recent years, linear conic optimization has received significant attention, partly due to the fact that we can take advantage of linear conic optimization to reformulate and approximate intractable optimization problems. Steady advances in computational optimization have enabled us to approximately solve a wide variety of linear conic optimization problems in polynomial time. Nevertheless, preprocessing methods, rounding procedures and sensitivity analysis tools are still the missing parts of conic optimization solvers. Given the output ...


Applications Of Machine Learning In Supply Chains, Afshin Oroojlooy Jan 2019

Applications Of Machine Learning In Supply Chains, Afshin Oroojlooy

Theses and Dissertations

Advances in new technologies have resulted in increasing the speed of data generation and accessing larger data storage. The availability of huge datasets and massive computational power have resulted in the emergence of new algorithms in artificial intelligence and specifically machine learning, with significant research done in fields like computer vision. Although the same amount of data exists in most components of supply chains, there is not much research to utilize the power of raw data to improve efficiency in supply chains.In this dissertation our objective is to propose data-driven non-parametric machine learning algorithms to solve different supply chain ...


Efficient Modeling Of Latent Thermal Energy Storage Systems For Optimal Design And Operational Research, Chunjian Pan Jan 2019

Efficient Modeling Of Latent Thermal Energy Storage Systems For Optimal Design And Operational Research, Chunjian Pan

Theses and Dissertations

As a booming economy drives the need for more electricity, demands on freshwater for thermoelectric power generation also grow. Facing the limited freshwater resources, alternative dry cooling technologies such as air cooled condensers (ACCs) that reduce water consumption are becoming more prevalent. However, the performance of air ACCs is seriously deteriorated at ambient temperature. To address this challenge, a novel application of a Phase Change Material (PCM) based cooling system for supplementary cooling of ACCs is proposed. One of the engineering challenges that prevent the commercial application of latent thermal energy storage (LTES) systems is the lack of computationally efficient ...


Single Enzyme Synthesis And Bio-Imitation Of Functional Nanocrystals, Abdolhamid Sadeghnejad Jan 2019

Single Enzyme Synthesis And Bio-Imitation Of Functional Nanocrystals, Abdolhamid Sadeghnejad

Theses and Dissertations

Green synthesis methods of inorganic materials have gained lots of attention due to lower pollution and toxic precursors during the synthesis. One of the modern green methods of synthesis is biosynthesis in which a DNA, small peptide molecule, or amino acids plays the main role of synthesis. Biomineralization, the biosynthesis process happens in the nature by elements, has been considered as a green, low cost, and scalable method of synthesis. In comparison with conventional synthesis methods, biomineralization happens under ambient conditions in aqueous phase that can be applied for synthesis of inorganic nanostructure metal sulfide semiconductors gained interest due to ...


Analysis Of Movement Of A 3t3 Cell With A Lamellipodium On A Substrate With Variable Rigidity, Alan Wopperer Jan 2019

Analysis Of Movement Of A 3t3 Cell With A Lamellipodium On A Substrate With Variable Rigidity, Alan Wopperer

Theses and Dissertations

Live cells move in the body in response to physiological and mechanical stimuli. Cells move using lamellipodium which extend beyond the leading edge of the cell. This lamellipodium is part of the cytoskeleton of the cell which pulls the cell forward in cell migration. It is observed that cells will move directionally depending on the stiffness of the substrate the cell comes into contact with. It is hypothesized that cells probe their environment to test the stiffness of their substrate. As a cell comes into contact with a substrate, the resulting force is dependent on how rigid or soft the ...


Solution Techniques For Non-Convex Optimization Problems, Wei Xia Jan 2019

Solution Techniques For Non-Convex Optimization Problems, Wei Xia

Theses and Dissertations

This thesis focuses on solution techniques for non-convex optimization problems. The first part of the dissertation presents a generalization of the completely positive reformulation of quadratically constrained quadratic programs (QCQPs) to polynomial optimization problems. We show that by explicitly handling the linear constraints in the formulation of the POP, one obtains a refinement of the condition introduced in Bai's (2015) Thoerem on QCQPs, where the refined theorem only requires nonnegativity of polynomial constraints over the feasible set of the linear constraints. The second part of the thesis is concerned with globally solving non-convex quadratic programs (QPs) using integer programming ...


High Fidelity Modeling Of Cold-Formed Steel Single Lap Shear Screw Fastened Connections, Rita Kalo Jan 2019

High Fidelity Modeling Of Cold-Formed Steel Single Lap Shear Screw Fastened Connections, Rita Kalo

Masters Theses

Cold-formed steel connections are commonly fastened using self-tapping self-drilling screws. The behavior of these connections can differ based on the screw manufacturer or the cold-formed steel product used, both of which have a large selection available for use in industry. Because of their popularity and the many possible variations of these connections, researchers have frequently tested screw connections to characterize their behavior. However, repeatedly conducting this type of experiment is time consuming and expensive. Therefore, the purpose of this work was to create finite element models that can successfully predict the behavior of single lap shear screw connections, a common ...


Performance Of Concrete Tunnel Systems Subject To Fault Displacement, Michael Morano Jan 2019

Performance Of Concrete Tunnel Systems Subject To Fault Displacement, Michael Morano

Masters Theses

A Finite Element Analysis (FEA) investigation of concrete tunnel systems traversing seismic faults is carried out to determine how to effectively mitigate the stresses induced in the liner when subject to fault displacement. A parametric study of various fault parameters, both in the damage zone and competent rock, is carried out to determine the site conditions which induce the most stress on the tunnel liner system. Results indicate that friction angle, cohesion, and elastic modulus of fault zones have varying effects on the stresses induced on the liner. The width of damage zone and expected displacements are also investigated and ...


Ammonia Production From A Non-Grid Connected Floating Offshore Wind-Farm: A System-Level Techno-Economic Review, Vismay V. Parmar Jan 2019

Ammonia Production From A Non-Grid Connected Floating Offshore Wind-Farm: A System-Level Techno-Economic Review, Vismay V. Parmar

Masters Theses

According to U.S. Department of Energy, offshore wind energy has the potential to generate 7,200 TWh of energy annually, which is nearly twice the current annual energy consumption in the United States. With technical advances in the offshore wind industry, particularly in the floating platforms, windfarms are pushing further into the ocean. This creates new engineering challenges for transmission of energy from offshore site to onshore. One possible solution is to convert the energy produced into chemical energy of ammonia, which was investigated by Dr. Eric Morgan. In his doctoral dissertation, he assessed the technical requirements and economics ...


Three Essays On Data-Driven Optimization For Scheduling In Manufacturing And Healthcare, Ekin Koker Jan 2019

Three Essays On Data-Driven Optimization For Scheduling In Manufacturing And Healthcare, Ekin Koker

Doctoral Dissertations

This dissertation consists of three essays on data-driven optimization for scheduling in manufacturing and healthcare. In Chapter 1, we briefly introduce the optimization problems tackled in these essays. The first of these essays deals with machine scheduling problems. In Chapter 2, we compare the effectiveness of direct positional variables against relative positional variables computationally in a variety of machine scheduling problems and we present our results. The second essay deals with a scheduling problem in healthcare: the team primary care practice. In Chapter 3, we build upon the two-stage stochastic integer programming model introduced by Alvarez Oh (2015) to solve ...


Processing And Properties Of Multifunctional Two-Dimensional Nanocomposite Based On Single Wall Carbon Nanotubes, Ali M. Al Mafarage Jan 2019

Processing And Properties Of Multifunctional Two-Dimensional Nanocomposite Based On Single Wall Carbon Nanotubes, Ali M. Al Mafarage

Browse all Theses and Dissertations

Truly single layer (monolayer) films of unmodified zigzag single-walled carbon nanotubes by using the Langmuir-Blodgett (LB) technique have been processed successfully. Measurements of their mechanical and optoelectric properties were achieved. Different theoretical equations were used based on the results obtained from the experimental part to study the properties and structures of the produced material and their composite. The produced films were highly oriented as determined by polarized Raman spectroscopy and as shown by scanning tunneling microscopy (STM). The films have a significant amount of flexibility which makes their behavior similar to rubbery materials. They can also be deposited on different ...