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Title: NOVEL FAULT DIAGNOSTIC TECHNIQUE AND UNIVERSAL SENSOR FOR PERMANENT MAGNET ELECTRIC MACHINES USING SEARCH COILS
Creator: Da, Yao
Date: 2012-04-23, 2012-05
Description: Over the past decade, permanent magnet synchronous machines (PMSMs) have gained significant popularity in industry, such as wind turbines and...
Show moreOver the past decade, permanent magnet synchronous machines (PMSMs) have gained significant popularity in industry, such as wind turbines and electric vehicles, owing to their high efficiency, high output power to volume ratio, and high torque to current ratio. In these mission critical applications, an unexpected fault or failure of the machine could lead to very high repair or replacement cost, or even catastrophic system failure. Therefore a robust and reliable health monitoring and fault diagnostic approach is desired, which could help in scheduling preventive maintenance to lengthen their lifespan and avoid machine failure. This dissertation presents a novel multi-faults diagnostic approach using search coils. These search coils are wound around armature teeth, so they typically need to be installed during manufacturing. But its immunity to high frequency harmonics makes it suitable for inverter/rectifier fed motors or generators, such as wind turbines and automotive systems. In addition, this method does not require the knowledge of proprietary constructional details of the machine. Since the electromagnetic flux is directly measured in this method, it provides much more information than any other scheme: the direction of eccentricity and the location of shorted windings. Furthermore, this method is also capable of evaluating the severity of each fault, which is of significant importance in mission critical applications such as automotive, aerospace and military applications. In addition to these uses, the search coils can be used as a universal sensor to estimate phase current or rotor position, which are critical information in a PMSM close-loop control, which allow it to work as a backup sensor for fault tolerant operation. The proposed fault detection scheme and universal sensor concept have been tested under several scenarios with Finite Element Analysis and experimentally validated.
Ph.D. in Electrical Engineering, May 2012
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Title: OPTIMIZATION AND MARKET CLEARING IN THE POWER SYSTEMS WITH HIGH-LEVEL RENEWABLES
Creator: Ye, Hongxing
Date: 2016, 2016-05
Description: The increasing penetration of renewable energy source (RES), such as wind and solar power generation, in recent years to meet various...
Show moreThe increasing penetration of renewable energy source (RES), such as wind and solar power generation, in recent years to meet various renewable portfolio standards (RPS) has led to more uncertainties in power systems. The RES penetration level is expected to further increase in order to reduce emission and fight climate change. The growing uncertainties caused by RES pose new challenges in power and energy systems. Advanced models and technologies are urgent to provide secure, affordable and clean energy to customers. Security-Constrained Unit Commitment (SCUC) problem is one of the most important tools in the modern power system. It determines the optimal short-term generating planning. The electricity is priced and settled based on its solution. In order to manage the uncertainties caused by renewables, it is urgent to develop new SCUC models and solution approaches. SCUCs considering the uncertainties have become a focus of research in recent years. The proposed optimistic robust SCUC combines the idea of robust optimization and reserve concept in the electricity. The merit of the robust optimization is that its solution can be immunized against any uncertainties. It exactly meets the first priority, reliability, in power system operation. The robust optimization is attractive in theory. However, a solution is robust if and only if the system can survive in the worst case scenario. Hence, the key task is to identify the worst case scenario. Unfortunately, finding the worst case scenario in general is a non-deterministic polynomial-time hard (NP-hard) problem. This will create issue in satisfying the timeliness requirement that the optimal scheduling must be obtained quickly (e.g., within several hours) in the day-ahead electricity markets. This dissertation proposes a fast solution approach to finding the worst case scenario by exploring the special structure in the SCUC problem. This dissertation proposes a new market mechanism for managing uncertain ties caused by high-level RES based on the robust optimization. A new concept, Uncertainty Marginal Price (UMP), is proposed to charge uncertainty sources and to credit flexible sources. For the first time, explicit price signals are provided and utilized to manage any level uncertainties within a robust optimization framework. The proposed mechanism manages uncertainties from both the source side (uncertainty reduction) and resource side (uncertainty accommodation). In short term, it provides incentives for RES operators to improve forecasting accuracy (i.e. to reduce uncertainties) and existing flexible resources (e.g. storage) to participate the uncertainty accommodation. In long term, the proposed mechanism provides price signals for siting new flexible resources (e.g. energy storage) to accommodate uncertainties from increasing RES penetration.
Ph.D. in Electrical Engineering, May 2016
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Title: OPTIMAL SIGNAL TIMING DESIGN FOR URBAN STREET NETWORKS UNDER USER EQUILIBRIUM BASED TRAFFIC CONDITIONS
Creator: Liu, Yi
Date: 2015, 2015-05
Description: In the ever-growing travel demand, traffic congestion on freeways and expressways recurs more frequently at a higher number of locations and...
Show moreIn the ever-growing travel demand, traffic congestion on freeways and expressways recurs more frequently at a higher number of locations and for longer durations with added severity. This becomes especially true in large metropolitan areas. Particular to the urban areas, excessive crowdedness caused by inefficient traffic control also results in urban street networks operating in near or over-saturated conditions, leading to unpleasant travel experience due to long delays at intersections. As a consequence, the recurrent traffic congestion on roadway segments and vehicle delays at intersections inevitably compromise energy efficiency, traffic mobility improvement, safety enhancement, and environmental impacts mitigation. All too often, neither restraining travel demand nor expanding system capacity is desirable and practical. Conversely, effectively utilizing the capacity of the existing transportation system has been increasingly thought of as the solution to congestion relief. With respect to the urban street networks, developing effective means for urban intersection signal optimization becomes essential to reduce intersection delays. Conventional signal timing optimization methods use historical traffic data and assume that traffic flows will remains unchanged after the implementation of new signal timing plans. Traffic flows are assumed to be constant, but in fact, when signal timing plans change, travel times for some travel routes will alter, which requires drivers in the network to adjust their choice of travel routes to arrive at the destinations, and result in redistribution of traffic in the network. Therefore, the effects of interactions between signal timing plans and traffic flows need to be explicitly taken into consideration. This study introduces a new methodology that jointly considers signal timing optimization and traffic assignment in an overall analytical framework that contains model formulations under assumptions consistent with real world situations. Such a framework is well suited for applications in real world cases. Specifically, the overall optimization framework is formulated as a bilevel optimization problem. In the proposed basic model, at the upper level, a traffic signal timing optimization problem for urban network is introduced to minimize system total travel time by optimizing signal green splits. At the lower level, a static user equilibrium problem is formulated for networkwide traffic assignment. In the vehicle delay estimation, the time-dependent stochastic delay model in the 2010 Highway Capacity Manual (HCM 2010) is employed and formulated as Variational Inequality constraints, what allow the state-of-the-art MPEC solver, GAMS/NLPEC, to solve the problem for a local optimal effectively and efficiently. The bi-level optimization model is first tested using a small network (the test network) and a computational experiment using a subarea network in the Chicago central district is conducted to assess the practicality of the model formulation in real world applications. In order to import more reality to the basic model and also consider the potential system benefit that comes from different signal phasing design, an enhanced model is developed based on the basic model by employing integer and binary variables. Formulating the problem with binary variables allows for the selection of proper phasing design. Heuristic solution methods are proposed and tested using the test network.
Ph.D. in Civil Engineering, May 2015
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Title: A REVIEW OF ORTHOGONAL LATIN HYPERCUBE DESIGNS FOR COMPUTER EXPERIMENTS
Creator: Jiang, Yin
Date: 2014, 2014-05
Description: Computer models can describe complicated physical phenomena. Due to the highly nonlinear and complex nature, they require specially designed...
Show moreComputer models can describe complicated physical phenomena. Due to the highly nonlinear and complex nature, they require specially designed experimental inputs. One direction of computer experiment design is orthogonal Latin hypercube design which is widely used. This thesis reviews the most resent methods of orthogo- nal Latin hypercube designs, their constructing algorithms and important theoretical properties. These designs are easy to construct and preserve the orthogonal and equally-spaced projections. With large number of factors, orthogonal Latin hyper- cube designs enable researchers to estimate uncorrelated rst-order regression e ects, as well as higher-order e ects. For large number of runs, we reviewed general design method to construct large orthogonal Latin hypercubes from small orthogonal Latin hypercubes. A similar construction method for nearly orthogonal Latin hypercubes was discussed as well.
M.S. in Applied Mathematics, May 2014
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Title: PSYCHOMETRIC PROPERTIES OF THE CENTER FOR EPIDEMILOGICAL STUDIES DEPRESSION SCALE (CES-D) USED AMONG NATIVE CHINESE INDIVIDUALS WITH SPINAL CORD INJURY
Creator: Xiong, Ying
Date: 2014, 2014-07
Description: Depressive symptoms are highly prevalent among people with Spinal Cord Injury (SCI) and yet there is a lack of consensus over psychometrically...
Show moreDepressive symptoms are highly prevalent among people with Spinal Cord Injury (SCI) and yet there is a lack of consensus over psychometrically sound diagnostic criteria or screening tools for depression. This is particularly true with the SCI population in China. Currently, there is limited information regarding the prevalence of depression, severity, and depressive symptomatology among individuals with SCI in China. CES-D lOis a simple and quick tool to use, and it avoids over-estimating depression due to frequent somatic complaints associated with SCI. To our best knowledge, the CES-D 10 had not been used among the native Chinese population with SCI. The current study used the CES-D 10 to measure depressive symptoms among individuals with SCI in China. The purpose ofthis study was to examine factorial validity, internal consistency, construct validity, and concurrent validity ofCES-D 10 among 260 Chinese individuals with SCI. Results showed an alarmingly high prevalence of depressive symptoms among the sample. Consistent with existing literature and hypotheses, a two-factor structure of CES-D 10 was replicated based on a confirmatory factor analysis. Hierarchical regression analyses showed several important psychosocial constructs such as acceptance of disability, social support, and functional disability were predictors of overall depressive symptoms. Surprisingly, depressive symptoms were not predictive of employment status. The scale showed low internal consistency, and a cultural response bias in which participants are less likely to endorse positively-stated CES-D items among the current sample. Such finding is consistent with past studies among the East Asian population. Limitations and implications ofthe study were discussed.
Ph.D. in Psychology, July 2014
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Title: CAPACITY BOUNDS FOR LARGE SCALE WIRELESS SENSOR NETWORKS
Creator: Tang, Shaojie
Date: 2012-11-20, 2012-12
Description: We study the network capacity of large scale wireless sensor networks under both Gaussian Channel model and Protocol Interference Model. To...
Show moreWe study the network capacity of large scale wireless sensor networks under both Gaussian Channel model and Protocol Interference Model. To study network capacity under gaussian channel model, we assume n wireless nodes {v1, v2, · · · , vn} are randomly or arbitrarily distributed in a square region Ba with side-length a. We randomly choose ns multicast sessions. For each source node vi, we randomly select k points pi,j (1 ≤ j ≤ k) in Ba and the node which is closest to pi,j will serve as a destination node of vi. The per-flow unicast(multicast) capacity is defined as the minimum data rate of all unicast(multicast) sessions in this network. We derive the achievable upper bounds on unicast capacity and a upper bound(partial achievable) on multicast capacity of the wireless networks under and Gaussian Channel model. We found that the unicast(multicast) capacity for wireless networks under both two models has three regimes. Under protocol interference model, we assume that n wireless nodes are randomly deployed in a square region with side-length a and all nodes have the uniform transmission range r and uniform interference range R > r. We further assume that each wireless node can transmit/receive at W bits/second over a common wireless channel. For each node vi, we randomly pick k − 1 nodes from the other n − 1 nodes as the receivers of the multicast session rooted at node vi. The aggregated multicast capacity is defined as the total data rate of all multicast sessions in the network. In this work we derive matching asymptotic upper bounds and lower bounds on multicast capacity of large scale random wireless networks under protocol interference model.
PH.D in Computer Science, December 2012
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Title: STUDY ON EX POST PRICING
Creator: Zhao, Zhechong
Date: 2011-05-02, 2011-05
Description: The main objective of this thesis is to study the ex post pricing in electricity market by implementing two new methods (quantity based method...
Show moreThe main objective of this thesis is to study the ex post pricing in electricity market by implementing two new methods (quantity based method and price based method). The quantity based method measures the difference between the actual performance of an individual resource and its bid-based profit-maximizing response to the ex post prices. The price based method measures the different between the ex post price and the supporting price which supports the actual outputs. These two methods are based on a co-optimization market for energy and ancillary service. They are very flexible and can solve the ex post price efficiently and simultaneously.
M.S. in Electrical Engineering, May 2011
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Title: PSYCHOSOCIAL FACTORS RELATED TO READING FLUENCY DURING THE TRANSITION FROM ORAL TO SILENT READING
Creator: Dreher, Taylor
Date: 2014, 2014-05
Description: The present study investigated how reading fluency is related to social desirability and academic self-concept during a critical period in...
Show moreThe present study investigated how reading fluency is related to social desirability and academic self-concept during a critical period in reading development for children. It was predicted that social desirability would be a better predictor of oral reading fluency, while academic self-concept would be a better predictor of silent reading fluency. Participants were sixty third-grade students from Catholic schools in a large metropolitan area. All children completed measures of oral reading fluency, silent reading fluency, academic self-concept, and social desirability. Multiple regression and dominance analysis supported the hypothesized relationships. Social desirability had a significant negative relationship with oral reading fluency, while academic self-concept was unrelated to oral reading fluency. In addition, academic self-concept had a significant positive relationship with silent reading fluency, while social desirability had a smaller, but still significant, negative relationship with silent reading fluency. The present findings suggest that psychosocial factors like social desirability and academic self-concept may help identify children who are at risk for reading underachievement. Future research should use a longitudinal design to examine if measuring social desirability and academic self-concept in third grade can predict important outcomes, such as reading fluency in fourth grade or beyond.
M.S. in Psychology, May 2014
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Title: MULTI-DIMENSIONAL BATCH SCHEDULING FRAMEWORK FOR HIGH-END SUPERCOMPUTERS
Creator: Zhou, Zhou
Date: 2016, 2016-05
Description: In the field of high performance computing (HPC), batch scheduling plays a critical role. They determine when and how to process the various...
Show moreIn the field of high performance computing (HPC), batch scheduling plays a critical role. They determine when and how to process the various jobs waiting for service. Conventional batch schedulers allocate user jobs solely based on their CPU footprints. However, for a given user job, it requires many different resources during its execution, such as power, network, I/O bandwidth, etc. Today’s job schedulers rarely take into account these resource requirements which sometimes turn out to be the Achilles’ heel of system-wide performance. In this research, we propose a multi-dimensional batch scheduling framework for high-end supercomputers. Our research aims to treat these common but often ignored resources (e.g., power, network, bandwidth) as schedulable resource and further transform each scheduling into a multi-objective optimization process. Our main contributions consist of a set of scheduling models and policies, aiming at addressing the issues in batch scheduling for large-scale production supercomputers. We evaluate our design by means of trace-based simulations using real workload and performance traces from production systems. Experimental results show our methods can effectively improve batch scheduling regarding user satisfaction, system performance and operating cost.
Ph.D. in Computer Science, May 2016
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Title: PULSED LIGHT INACTIVATION OF MURINE NOROVIRUS ON VARIOUS FOOD CONTACT SURFACES
Creator: Zhou, Zijin
Date: 2015, 2015-07
Description: Norovirus is one of the leading causes for foodborne illness. Transmission of virus from surface to food has been known to cause a number of...
Show moreNorovirus is one of the leading causes for foodborne illness. Transmission of virus from surface to food has been known to cause a number of outbreaks. Studies of norovirus have been conducted using Murine Norovirus to simulate the behaviors. Pulsed light (PL) is a promising surface decontamination technology, which has the potential to be applied in a food service setting. PL uses intense pulses of short duration and a broad spectrum to accomplish microbial inactivation. This study evaluates the effect of PL on MNV-1, artificially inoculated onto various food contact surfaces including 304 stainless steel, glazed tile, polypropylene, and ultra-high molecular weight (UHMW) polyethylene. The virus was allowed to inoculate on the coupons for 20mins and treated with PL in a Xenon Steripulse XL-3000TM pulsed light treatment system for up to 60 s, at a distance of 8.3 cm 10.8 cm or 13.3cm from the central axis of the lamp. An infrared (IR) camera was used to record surface temperatures, in 1-s increments. After PL treatments, remaining viruses were recovered from surfaces and quantified by plaque assay. At a distance of 10.8cm, MNV-1 was reduced by 2.22-, 2.27- 2.75- and 3.12-log, after 20s treatment on inoculated stainless steel, glazed tile, UHMW polyethylene and polypropylene, respectively. After 50s treatment, MNV-1 was reduced by 4.86- and 5.93- log on glazed tile and stainless steel surface respectively. The surface temperature on tile and stainless steel increased at the rate of 1.08±0.20 and 1.28±0.32°C /s respectively. A relatively short treatment using pulsed light is sufficient to inactivate MNV-1 on the surface of materials commonly used in food preparation. The results suggest that the technology has the potential to reduce surface viral contamination in a food preparation setting.
M.S. in Food Safety and Technology, July 2015
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Title: Optimal Behavior Modeling and Analysis of Electricity Market Participants
Creator: Li, Jie
Date: 2012-04-27, 2012-05
Description: n restructured electricity power markets, competition among market participants is a key issue of concern for both the ISO (Independent System...
Show moren restructured electricity power markets, competition among market participants is a key issue of concern for both the ISO (Independent System Operator) and the market participants themselves. This dissertation analyzes the market behavior of both the generation side and demand side participants, and provides solution guidelines for devising effective competition strategies for market players’ profit maximization objectives. Generation side is the most competitive part in the electricity market with the unbundling of generation, transmission and distribution. Acting as self-interested entities, GENCOs (Generation Companies) are seeking effective and computationally efficient methodology for generation resource scheduling, while keeping its financial risks at acceptable levels when constituting bidding strategies. To help GENCOs achieve such goal, this dissertation propose a game theory based supply function like bidding model to construct the optimal bidding strategies for GENCOs in both energy and ancillary service markets. On the demand side, demand participation in the electricity market has already been advocated for a long time for its benefit to the entire market and the society as a whole. This dissertation focuses on a specific large electricity consumer type – Internet Data Center (IDC). By analyzing the unique energy consumption pattern for different IDC applications, this dissertation devises effective electric demand management solution for IDCs to conserve electricity energy consumption and cut electric bill, and quantifies the demand response effect of IDC on the electricity market.
Ph.D. in Electrical Engineering, May 2012
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Title: VIEW SYNTHESIS OF THREE DIMENSIONAL VIDEOS USING VIDEO PLUS DEPTH
Creator: Loghman, Maziar
Date: 2012-07-02, 2012-05
Description: This thesis investigates the use of segmentation in view synthesis for three- dimensional video. View synthesis is the process of generating...
Show moreThis thesis investigates the use of segmentation in view synthesis for three- dimensional video. View synthesis is the process of generating novel views of a scene, using set of views as the reference. Recently, several techniques have been suggested that use the depth maps for rendering virtual views. However, inaccuracy in depth maps causes annoying visual artifacts in depth-based view synthesis. This thesis presents an e cient depth image-based rendering technique based on segmentation using multi-level thresholding. In the proposed algorithm, rst all the images are segmented according to the depth and the pixels belonging to di erent objects are warped and blended independently. Based on multi-level thresholding, an algorithm for nding the ghost contour pixels is provided which simpli es the computations. A novel method for inpainting for disocclusions is introduced which uses the segmented images to nd the associated background boundary pixels. The experimental results show that the proposed algorithm improves the PSNR of the synthesized views up to 0:68 dB for the multi-view video test sequences and eliminates the annoying artifacts.
M.S. in Electrical Engineering, May 2012
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Title: AN ANALYTICAL MODEL FOR SWITCHED RELUCTANCE MACHINE WITH HIGHER NUMBER OF ROTOR POLES
Creator: Jia, Yijiang
Date: 2012-05-08, 2012-05
Description: With growing interest in renewable energy technology and hybrid electric vehi- cle systems owing to environmental concerns and depleting...
Show moreWith growing interest in renewable energy technology and hybrid electric vehi- cle systems owing to environmental concerns and depleting fossil fuel reserves, electric machines have received widespread attention as a key component in the successful im- plementation of high efficiency drives. Towards this goal, the last two years have seen a significant increase in research in permanent magnet-alternative machine topologies. This has primarily been because of growing concerns over foreign dependence for rare- earth materials and a dramatic increase in the cost of permanent magnets. Switched Reluctance Machine (SRM) has been one of the leading contenders in this category. It does not require any permanent magnets, and is very suitable for operation in harsh operating environments. Furthermore, this machine has simple construction and is highly fault-tolerant with one of the widest operating speed ranges. Nowadays, it has found wide application in the automotive, aerospace as well as domestic area. How- ever conventional SRM suffers from modeling complexity and torque ripple during the phase commutation with the same origin. Using the novel PD formula proposed at the Illinois Institute of Technology, a new family of machines has been developed with a significant improvement in torque ripple. Owing to its novel configuration, analytical models for the design of advanced driver system design have also not been developed. In this study, an analytical model for the novel 6/10 SRM has been proposed. The machine model is characterized using an inductance model utilizing truncated Fourier series as well as multi-order polynomial curve-fitting algorithm. The induc- tance model is extended to back-EMF and electromagnetic torque models on purpose of obtaining the whole information for every single operating point of the machine during dynamic operation. The effectiveness of the proposed concept has analyzed for a prototype machine in the laboratory and verified using Finite Element Analysis. From this study, an algorithm has been proposed to develop the analytical model for the family of SRMs with higher number of rotor poles.
M.S. in Electrical Engineering, May 2012
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Title: COMPUTATION OF THIN AIRFOIL AERODYNAMICS FOR MICRO AIR VEHICLE APPLICATIONS
Creator: Baez Guada, Alejandro
Date: 2013-04-29, 2013-05
Description: With the significant interest in the development of micro air vehicles with gust resistant capabilities, active flow control has become a main...
Show moreWith the significant interest in the development of micro air vehicles with gust resistant capabilities, active flow control has become a main challenge in enhancing flight conditions. The current flow control techniques are limited at suppressing fluctuations in the lift induced by unsteady freestreams and while undergoing fast maneuvers. As a result of the time delay associated with the actuation input and formation of the leading edge vortex, closed-loop controllers are limited by the bandwidth to suppress fluctuation in the lift under unsteady freestreams. Therefore, the recognition of the direct interaction of the controller with the formation of vortex shedding suggests the development of new techniques for flow control. For the sinusoidal oscillating freestream, the knowledge of the time scales in response to actuation and the phase between the unsteady freestream and lift time series are useful in the implementation of the feed forward controllers suppressing lift fluctuations. Moreover, prospective solutions have been conceptualized in the implementation of the leading edge separation sensor and the gust load alleviation controller that would allow the instantaneous response to enhance lift under unsteady freestreams conditions. With the increasing computational power and reliance on turbulence models, the numerical simulations facilitate the investigation of thin airfoil aerodynamics at post-stall angles of attack under steady and unsteady freestreams. The computations of turbulent flows for external flow aerodynamics are challenging as a result of the presence of separated flow. The detachment of boundary layers is by nature three-dimensional and time dependent. Therefore, simulating these flows is problematic and requires high computational cost. Thin shear layers are common in external aerodynamic flows demanding very fine near-wall discretization to solve for separation points. The growth of the boundary layer, separation, and mixing length scales require complex approaches for accurate results. xviii In the present study, the performance of the turbulence models is investigated in numerical predictions of thin airfoil aerodynamics at post-stall angles of attack. The results suggest that low computational cost turbulence models fail at treating separated flows. Moreover, the instantaneous locations of separation and stagnation points in response to the changes in the lift for steady and unsteady flows were investigated. The amplitude and frequency of the time series of the separation and stagnation point location are highly correlated with the characteristics of the lift oscillations. Therefore, the recognition of separation or stagnation point locations at the leading edge of the wing could provide the direct information of the gains and drops in the lift for active flow control applications.
M.S. in Aerospace and Mechanical Engineering, May 2013
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Title: DOUBLE AGING AND THERMOMECHANICAL HEAT TREATMENT OF ALUMINUM EXTRUSIONS
Creator: Emani, Satyanarayana
Date: 2012-08-27, 2012-12
Description: Double aging and thermo mechanical treatment of AA7075 and AA6061 aluminum alloys was studied and optimized to accelerate the kinetics of...
Show moreDouble aging and thermo mechanical treatment of AA7075 and AA6061 aluminum alloys was studied and optimized to accelerate the kinetics of aging process. This novel process is highly energy efficient and reduces the time of heat treatment of AA7075 alloys by 96%. It also achieves excellent mechanical properties compared to the conventional T6 heat treatment while improving ductility and energy efficiency. Hardness curves for different aging times and temperatures and TEM analysis was used to develop an empirical model was which explains the precipitation mechanism of η’ precipitates on GP zones and the effect of time and temperature on the double aging process.
PH.D in Materials Science, December 2012
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Title: SINTER B0NDING TITANIUM POWDER COMPONENTS: AN UNCONVENTIONAL ADDITIVE MANUFACTURING APPROACH
Creator: Montonera, Darrell R
Date: 2018, 2018-05
Description: Titanium and its alloys are desirable for many applications. The cost of producing titanium parts that also have needed microstructure for a...
Show moreTitanium and its alloys are desirable for many applications. The cost of producing titanium parts that also have needed microstructure for a given application limit where titanium is used. Methods of reducing the cost of titanium parts have been to use powder metallurgy processing routes. However, not all powder processing routes are cost effective, as additive manufacturing and powder injection molding processes are costly and require expensive spherical powder. Cheaper processing Press and Sinter utilizes cheaper non-spherical powder. Powder titanium components made through Press and Sinter have complexity, size, and geometrical constraints and have detrimental mechanical properties unless further post processing is done. To utilize the simple geometries from Press and Sinter, pressed powder components are bonded to examine the possibility of creating higher complexity parts. To achieve this, the dimensional sintering behavior of powders were quanti- ed using dilatometry. Grade 5 titanium alloys were created by blending hydridedehydride (HDH) commercially pure powder with master alloy (MA) 60/40 wt%. The dimensional effect of varying master alloy produced a maximum difference of 0.341% between an alloy with lower MA content compared to higher content during sintering. The sintering behavior of powder HDH+MA reached a nal shrinkage of 4.59%. Other powders TiH2, TiH2+MA, and Armstrong pre-alloyed had fi nal shrinkages of 9.85, 9.64, and 8.31%. The larger shrinkage powders were pressed into a peripheral component to be bonded to a HDH+MA core. Samples were sintered under a vacuum of 2x10􀀀6 torr by heating from room temperature to 1370 oC at 15 oCmin􀀀1 and holding at 1370 oC for 90 minutes. Sinter Bonded sample interfaces were examined showing the best bond to be the Armstrong j HDH+MA combination. This bond was tested using a push out test achieving shear stresses of 423 60 MPa using a pre-sintering tolerance between components of 0.065 mm and 444 37 MPa using a pre-sintering tolerance of 0.03 mm. Wrought material tested in the same manner as the sinter bonded components had a strength of 517 8 MPa. Sinter bonded samples achieved on average 82% the strength of wrought tested in the same manner. Strong bond strengths lead to a fatigue analysis of sinter bonded samples. Under various applied cyclic compressive stresses the number of cycles to failure were measured using an applied stress ratio R = 0.1. Determination of fatigue properties was done by simulating and probing in Abaqus the max tension stresses located at the bottom center of the sample. Simulations produced steady state tension stresses measured at maximum, mean, and minimum applied compressive stresses. These stresses were used to plot a S-N curve. True stress amplitudes were calculated from probed maximum and minimum stresses and the fatigue data were fi t to the Basquin empirical relation 2 = 810:4(2Nf )􀀀0:055 for sinter bonded samples and 2 = 1290:9(2Nf )􀀀0:065 for wrought samples. As a proof of concept several pressed titanium parts were combined in the green state and successfully sintered into a single component.
Ph.D. in Materials Science and Engineering, May 2018
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Title: SYNTHESIS AND EVALUATION OF STABILIZED ALGINATE MICROBEADS
Creator: Soma, Sami Isaac
Date: 2018, 2018-05
Description: Alginate hydrogels have been investigated for a broad variety of medical applications. The ability to assemble hydrogels at neutral pH and...
Show moreAlginate hydrogels have been investigated for a broad variety of medical applications. The ability to assemble hydrogels at neutral pH and mild temperatures makes alginate a popular choice for the encapsulation and delivery of cells and proteins. Alginate has been studied extensively for the delivery of islets as a treatment for type 1 diabetes. However, stability of the encapsulation systems after implantation remains a challenge. The broad goal of this proposal was to develop and investigate methods for enhancing the stability of alginate-based encapsulation systems. First, a method was developed to create dual crosslinked alginate microbeads. Alginate was modified with 2-aminoethyl methacrylate hydrochloride (AEMA) to introduce groups that can be photoactivated to generate covalent bonds. This enabled formation of dual crosslinked structure upon exposure to ultraviolet light following initial ionic crosslinking into bead structures. The degree of methacrylation was varied and in vitro stability, long term swelling, and cell viability examined. At low levels of methacrylation, the beads could be formed by first ionic crosslinking followed by exposure to ultraviolet light to generate covalent bonds. The methacrylated alginate resulted in more stable beads and cells were viable following encapsulation. Alginate microbeads, ionic (unmodified) and dual crosslinked, were implanted into a rat omentum pouch model. Implantation was performed with a local injection of Lipopolysaccharide (LPS) to stimulate a robust in inflammatory challenge in vivo. Implants were retrieved at 1 and 3 weeks for analysis. The unmodified alginate microbeads had all failed by week 1, whereas the dual-crosslinked alginate microbeads remained stable up through 3 weeks. The modified alginate microbeads may provide a more stable alternative to current alginate-based systems for cell encapsulation. In the next set of studies, multilayered alginate microbeads (Alginate-Poly-l-ornithine-Alginate (APA)) were investigated for cell encapsulation. The APA microbeads were generated with a thick outer alginate layer that is present in order to reduce inflammation post implantation. The dual crosslinking approach was applied to the outer layer APA microbeads. Dual crosslinked outer layer multilayered alginate microbeads remained intact in presence of chelating agents. APA alginate microbeads, ionic (unmodified) and dual crosslinked were tested using omentum pouch model with local injection of LPS. Dual crosslinked microbeads remained intact up to three weeks without significant change in outer layer size. In conclusion, alginate was modified with methacrylate groups to enhance stability when subjected to an inflammatory challenge. APA microbeads with methacrylated outer layer hold a great potential for cell encapsulation therapies.
Ph.D. in Biomedical Engineering, May 2018
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Title: CHARACTERIZING GPS PHASE LOCK LOOP PERFORMANCE IN WIDEBAND INTERFERENCE USING THE DISCRIMINATOR OUTPUT DISTRIBUTION
Creator: Stevanovic, Stefan
Date: 2018, 2018-05
Description: The use of the Global Positioning System (GPS) has accelerated in recent years. In its inception, GPS was used exclusively by the military for...
Show moreThe use of the Global Positioning System (GPS) has accelerated in recent years. In its inception, GPS was used exclusively by the military for navigation. Today, with the emergence of extremely capable electronics and microprocessors, GPS has been integrated into many aspects of life. It is currently widely used by both the military and various civilian industries for applications that require navigation as well as precise timing. Some applications of GPS include ground vehicle and aircraft navigation, banking, power transmission, and agriculture. As a result, disruptions in GPS availability have the potential to disrupt many services and industries around the globe, and even threaten the safety of life. Reliable operation can be interrupted by radio frequency interference (RFI), which can come from natural and manufactured sources. This work describes new techniques to evaluate the performance of GPS receivers that may be subjected to RFI events. The example application motivating this work is Ground Based Augmentation System (GBAS) reference station receivers subjected to broadband interference, for example, from nearby use of personal privacy devices (PPDs). PPDs most commonly emit broadband interference, and GBAS ground based reference receivers have expe- rienced tracking discontinuities as a result [Pul12]. These events can cause navigation service interruptions to aircraft on nal approach. To ensure continuity of the nav- igation service, GBAS reference stations must be able to track GPS signals in the presence of wideband interference. The objective of this work is to develop the PLL analysis tools required to design PLLs capable of tracking through RFI events, while reducing the need for time-consuming simulations and experimental validation. Instead, simulation and experimental validation can be reserved for PLL designs which are much more likely to be successful. The techniques described in this work are valid for any GPS application in which the receiver cannot tolerate cycle slips in the phase-lock loop (PLL). The methodology is directly applicable to ground-based reference receivers for differential GPS systems, as well as other ground-based receivers that require high continuity of service. It is also relevant to moving receivers, if the additional dynamic stresses on the PLL are also taken into account. The PLL discriminator output (DO) distribution is used to characterize GPS PLL tracking performance, in contrast to the phase jitter metric widely used in prior work and literature. Both the DO variance and the bias on the mean of the DO distribution are shown to be superior to the jitter metric in predicting phase-lock. And, it is shown that the bias in the DO mean is the most effective measure of cycle slip probability. Studying the discriminator output distribution also provides a means of comparing different techniques to extend PLL averaging time beyond the length of a navigation data bit, without time-consuming direct simulation and experimental validation. Experimental results are presented to validate the theoretical analysis and simulations. The observed tracking results are consistent with the theoretically predicted system performance. The DO bias is superior to the variance metric in its ability to predict loss of phase-lock.
Ph.D. in Mechanical and Aerospace Engineering, May 2018
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Title: CHARACTERIZATION OF GATE-ALL-AROUND FIELD EFFECT TRANSISTORS BASED ON BSIM-CMG MODEL
Creator: Yang, Muyu
Date: 2018, 2018-05
Description: The objective of this thesis is to analyze the characteristics of gate-all-around (GAA) field-effect-transistors (FETs) based on BSIM-CMG ...
Show moreThe objective of this thesis is to analyze the characteristics of gate-all-around (GAA) field-effect-transistors (FETs) based on BSIM-CMG (Berkeley Short-channel IGFET Model Common Multi-Gate) compact model. As devices continue scaling according to Moore’s Law, traditional planar multi-gated MOSFET cannot suppress the short-channel effects (SCE). The GAA FETs structure is a good candidate for sub-7nm technology nodes because of its’ electrostatic gate control and the ability to suppress the SCE. In this thesis, two different kinds of GAA FETs, Lateral GAA FETs (LGAA FETs) and Vertical GAA FETs (VGAA FETs), are characterized and compared with multi-gate FinFETs. The devices implemented in this thesis are all based on BSIM-CMG compact models from Berkeley BSIM Group and PTM-MG compact models from Nanoscale Integration and Modeling (NIMO) Group. In this dissertation, LGAA FETs and VGAA FETs are compared with double-gate FinFETs, triple-gate FinFETs and quadruple-gate FinFETs. Firstly, both N-type and P-type of devices are characterized for a variety of parameters to investigate their properties. Then basic logic gates, i.e. Inverter, NOR and NAND, are created based on GAA FETs and multi-gate FinFETs, and simulated for comparison. Finally, an extended datapath study was done by implementing several full adder designs, including the traditional 28T mirror adder, the 9A adder, the 13A adder, the SERF adder, the CLRCL adder, the HULPFA adder, and the ULPFA adder. Simulation results confirm that LGAA FETs and VGAA FETs have substantially smaller leakage current and dynamic power consumption but slightly increased delay when compared with traditional planar multi-gate FinFETs.comparison. Finally, an extended datapath study was done by implementing several full adder designs, including the traditional 28T mirror adder, the 9A adder, the 13A adder, the SERF adder, the CLRCL adder, the HULPFA adder, and the ULPFA adder. Simulation results confirm that LGAA FETs and VGAA FETs have substantially smaller leakage current and dynamic power consumption but slightly increased delay when compared with traditional planar multi-gate FinFETs.
M.S. in Electrical Engineering, May 2018
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Title: ENSURING NAVIGATION INTEGRITY AND CONTINUITY USING MULTI-CONSTELLATION GNSS
Creator: Zhai, Yawei
Date: 2018, 2018-05
Description: Global navigation satellite system (GNSS) measurements are vulnerable to faults including satellite and constellation failures, which can...
Show moreGlobal navigation satellite system (GNSS) measurements are vulnerable to faults including satellite and constellation failures, which can potentially lead to catastrophic consequences in safety-critical applications. To mitigate their impact, receiver autonomous integrity monitoring (RAIM) fault detection has been designed and used in aviation as a backup navigation tool. Future GNSS has been foreseen to provide dramatically increased measurement redundancy and reduced measurement error. These revolutionary developments, together with important advancements in the RAIM concept itself, will open the possibility to independently support aircraft navigation using GNSS, from takeoff, through en-route flight and final approach to landing, with minimal investment in ground infrastructure. Therefore, this research focuses on developing new dual-frequency, multi-constellation advanced RAIM (ARAIM) fault detection and exclusion methods to ensure high navigation integrity and continuity. In this thesis, the theoretical basis is established to quantify the contributions of fault events and unscheduled satellite outages on continuity risk. Accordingly, the need for airborne fault exclusion is assessed, and the requirements for the exclusion function itself are speci fied. To improve continuity, a new fault exclusion scheme is developed, for which the real-time implementation of the algorithm is described and the associated integrity risk bound is derived. With the theoretical methods being fully characterized, this thesis comprehensively quanti es the achievable ARAIM navigation performance over various numbers and qualities of constellations. The results show high service availability can be achieved using multi-constellation GNSS, while meeting both integrity and continuity requirements. Furthermore, this work investigates the impact of test statistic time correlation on integrity and continuity risk, and rigorously derives the new methods to evaluate the actual risk over the exposure time. The results show that the false alarm probability is two orders of magnitude higher than previously thought. A feasible solution to resolve this issue at the user receiver is provided, and the performance is analyzed. The most signifi cant new feature of ARAIM is the integrity support message (ISM), which provides assertions on the GNSS signal-in-space performance. This dissertation describes the design, analysis, and evaluation of the offline ground monitor, which aims at validating the ISM broadcast to the users. The proposed architecture utilizes a worldwide network of sparsely distributed reference stations, and paramet- ric satellite orbital models to estimate the satellite position and clock. Two separate analyses, covariance analysis and model delity evaluation, are carried out to respec- tively quantify the impact of measurement errors and of residual model errors on the estimation. The results indicate this ground monitor design is adequate for ARAIM ISM validation.
Ph.D. in Mechanical and Aerospace Engineering
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