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Articles 2011 - 2040 of 9778
Full-Text Articles in Engineering
Investigating Ph And Other Electrical Properties Of Potassium Salt Solutions, Li Shu, Xi Lu, Veeriah Jegatheesan, Leonardo Jegatheesan
Investigating Ph And Other Electrical Properties Of Potassium Salt Solutions, Li Shu, Xi Lu, Veeriah Jegatheesan, Leonardo Jegatheesan
Research outputs 2022 to 2026
A recent study of ours reported that pH of common salts varies with concentration at room temperature. It can either increase in case of basic salts or decrease in case of acidic salts. In this study, pH values of four kind of potassium salts were investigated and their pH values increased with salt concentrations. It was reasoned that the concentration of hydrogen ions equalled the concentration of positive charges/protons in a solution, so a relationship between the activity of hydrogen ions and charge activity was developed. Further, the well-established equations for pH with hydrogen-ion activity and electrostatic/cell potential were extended …
Application Of Advanced Energy Storage Materials In Direct Solar Desalination: A State Of Art Review, Furqan Jamil, Faisal Hassan, Shahin Shoeibi, Mehdi Khiadani
Application Of Advanced Energy Storage Materials In Direct Solar Desalination: A State Of Art Review, Furqan Jamil, Faisal Hassan, Shahin Shoeibi, Mehdi Khiadani
Research outputs 2022 to 2026
Storage of the thermal energy of solar intensity has a significant effect on the efficiency of desalination systems at nighttime, when solar intensity is not available. Solar energy provides the potential to facilitate the freshwater needs of small communities, where access to potable water is commonly limited. However, freshwater generation formation via solar stills remains low when compared to other desalination methods. Hence, multiple innovative materials for efficient water production by solar stills have been invetsigated in the literature, where this is addressed on a wide scale in this comprehensive review. This includes a focus on innovative materials including nanomaterials, …
Energy, Exergy, And Economic Evaluation Of Integrated Waste Incineration Facility With A Thermal Power Plant, Farid Aghapour Sabagh, Siamak Hossainpour, Shayan Pourhemmati
Energy, Exergy, And Economic Evaluation Of Integrated Waste Incineration Facility With A Thermal Power Plant, Farid Aghapour Sabagh, Siamak Hossainpour, Shayan Pourhemmati
Research outputs 2022 to 2026
Increased waste production and poor waste management have created severe negative environmental impacts. Waste incineration is a way to produce energy and decreases environmental impacts; however, this technique cannot be considered independently as a source of power generation because of its low performance. This study aims to evaluate the integration of a waste incineration system with a natural gas-fired power plant in terms of energy, exergy, and economic points. As a result of the proposed configurations, in addition to promoting efficiency and net power production, some equipment is removed from power plants. Efforts are made to increase the accuracy of …
Experiments And Modelling Of Biomass Pulverisation In Swirling And Non-Swirling Bluff Body-Stabilised Turbulent Annular Flows, Syed Ehtisham Gillani, Yasir M. Al-Abdeli, Zhao F. Tian
Experiments And Modelling Of Biomass Pulverisation In Swirling And Non-Swirling Bluff Body-Stabilised Turbulent Annular Flows, Syed Ehtisham Gillani, Yasir M. Al-Abdeli, Zhao F. Tian
Research outputs 2022 to 2026
Deeper insights into particle loading have practical significance in applications particularly when this affects fuel-oxidiser mixing and flame stabilisation, as occurs in pulverised fuel (biomass) combustion systems. The underlying particle flow and dispersion characteristics not only play a crucial role in controlling overall combustion performance but can also impact emissions. A fundamental understanding of particle flow dynamics and dispersion behaviour for raw pulverised biomass, under non-swirling and swirling conditions need further systematic investigation to better understand the interplay between swirling and non-swirling bluff-body stabilised recirculation zones and particles emitted from a centralised jet. This work uses Particle Image Velocimetry (PIV) …
Design And Application Of Circular Edge-Fed Linearly Polarized Patch Antenna With Enhanced Bandwidth And Gain For Respiratory Monitoring Systems, Mo’Ath Akram Al Hayek
Design And Application Of Circular Edge-Fed Linearly Polarized Patch Antenna With Enhanced Bandwidth And Gain For Respiratory Monitoring Systems, Mo’Ath Akram Al Hayek
Theses
This Master’s thesis explores the design and application of a circular edge-fed patch antenna for respiratory monitoring systems. The antenna, fabricated from a thin copper adhesive sheet, demonstrates compatibility with textile materials of low thickness and a relative permittivity of 1.3. Using CST Studio Suite 3D EM simulation software, the antenna’s design was optimized through extensive trials, achieving improved bandwidth and gain. Our findings indicate that the antenna successfully differentiates between various breathing patterns, including slow, normal, and fast breathing rates. The study’s managerial and research implications extend to healthcare, wearable technology sectors, and the broader scientific community. The research …
Investigation And Analysis Of Circular Economy Indicators In The Manufacturing Industry, Dina Al Jamal
Investigation And Analysis Of Circular Economy Indicators In The Manufacturing Industry, Dina Al Jamal
Theses
In the pursuit of sustainable development, the concept of the Circular Economy (CE) has emerged as a compelling and transformative alternative to the traditional linear economic model (i.e., take, make, use, dispose). The limitations of the linear economy in addressing contemporary global challenges have highlighted the urgency of adopting a more regenerative approach. Simply put, the circular economy aims to maximize the value extracted from available resources over their lifecycle, thereby ensuring the fulfillment of both current and future generations' needs. This thesis sheds light on a pivotal solution for effectively integrating circular economy principles into enterprises, thereby reinforcing sustainability. …
Me-Em Enewsbrief, September 2023, Department Of Mechanical Engineering-Engineering Mechanics, Michigan Technological University
Me-Em Enewsbrief, September 2023, Department Of Mechanical Engineering-Engineering Mechanics, Michigan Technological University
Department of Mechanical and Aerospace Engineering eNewsBrief
No abstract provided.
Litio En Una Encrucijada: Voces Locales Sobre La Reforma Constitucional Del Gobernador Morales Y Su Impacto En El Futuro De La Minería En Jujuy / Lithium At A Crossroads: Local Voices On Governor Morales’ Constitutional Reform And Its Impact On The Future Of Mining In Jujuy, Maxwell Bassin
Independent Study Project (ISP) Collection
En junio de 2023, el gobernador Morales de Jujuy aprobó un cambio en la constitución provincial rápidamente, sin consultar con las comunidades indígenas. Esta reforma prohíbe cortes de rutas, refuerza los derechos de propiedad privada y criminaliza muchas formas de protesta pública. Ahora, hay mucha crítica hacia la reforma, especialmente por parte de las comunidades indígenas y grupos ambientales que tienen miedo de que, sin la posibilidad de protestar, la minería del litio se expandirá en la provincia. Esta minería es peligrosa para las comunidades indígenas porque quiere minar en su tierra y requiere mucha agua aunque el clima de …
Balanced Blended Space: Proposing A Universal Theoretical Framework For Combinative Reality, David Smith, Frederick Bianchi
Balanced Blended Space: Proposing A Universal Theoretical Framework For Combinative Reality, David Smith, Frederick Bianchi
Publications and Research
In today's fragmented societies, a unified framework for communication and collaboration across different realities is crucial. We introduce Balanced Blended Space (BBS) as a framework for describing combinative reality, encompassing virtual, physical, and conceptual realms, all intrinsically connected. Interactions within these environments shape our perceptual space. This paper outlines key axiomatic assumptions, criteria for a universal framework, and fundamental terminology. We identify deep symmetries enabling the BBS framework, including Cognitive and Computational Symmetry, Physical and Virtual Symmetry, Mediation Pathway Symmetry, Space-Time Symmetry, and Sensory Symmetry. We propose tests to determine its viability, emphasizing virtual intelligence as a collaborative partner. We …
A One-Dimensional Volcanic Plume Model For Predicting Ash Aggregation, D. W. Hoffman, L. G. Mastin, Alexa R. Van Eaton, Stephen Solovitz, Raul Bayoan Cal, J. K. Eaton
A One-Dimensional Volcanic Plume Model For Predicting Ash Aggregation, D. W. Hoffman, L. G. Mastin, Alexa R. Van Eaton, Stephen Solovitz, Raul Bayoan Cal, J. K. Eaton
Mechanical and Materials Engineering Faculty Publications and Presentations
During explosive volcanic eruptions, volcanic ash is ejected into the atmosphere, impacting aircraft safety and downwind communities. These volcanic clouds tend to be dominated by fine ash (μm in diameter), permitting transport over hundreds to thousands of kilometers. However, field observations show that much of this fine ash aggregates into clusters or pellets with faster settling velocities than individual particles. Models of ash transport and deposition require an understanding of aggregation processes, which depend on factors like moisture content and local particle collision rates. In this study, we develop a Plume Model for Aggregate Prediction, a one-dimensional (1D) volcanic plume …
Development Of Prediction Method For Dimensional Stability Of 3d-Printed Objects, Kyung-Eun Min, Jae-Won Jang, Jesik Shin, Cheolhee Kim, Sung Yi
Development Of Prediction Method For Dimensional Stability Of 3d-Printed Objects, Kyung-Eun Min, Jae-Won Jang, Jesik Shin, Cheolhee Kim, Sung Yi
Mechanical and Materials Engineering Faculty Publications and Presentations
Fused deposition modeling (FDM), as one of the additive manufacturing processes, is known for strong layer adhesion suitable for prototypes and end-use items. This study used a multiple regression model and statistical analysis to explore the dimensional accuracy of FDM objects. Factors such as inclination angle, layer thickness, support space, and raster angle were examined. Machine learning models (Gaussian process regression (GPR), support vector machines (SVM), and artificial neural network (ANN)) predicted dimensions using 81 datapoints. The mean squared dimensional error (MSDE) between the measured and designed surface profiles was selected as an output for the dimensional accuracy. Support spacing, …
Accelerating Training Of Mlips Through Small-Cell Training, Jason A. Meziere, Yu Luo, Yi Xia, Laurent Karim Béland, Mark R. Daymond
Accelerating Training Of Mlips Through Small-Cell Training, Jason A. Meziere, Yu Luo, Yi Xia, Laurent Karim Béland, Mark R. Daymond
Mechanical and Materials Engineering Faculty Publications and Presentations
While machine-learned interatomic potentials have become a mainstay for modeling materials, designing training sets that lead to robust potentials is challenging. Automated methods, such as active learning and on-the-fly learning, construct reliable training sets, but these processes can be resource-intensive. Current training approaches often use density functional theory (DFT) calculations that have the same cell size as the simulations that the potential is explicitly trained to model. Here, we demonstrate an easy-to-implement small-cell training protocol and use it to model the Zr-H system. This training leads to a potential that accurately predicts known stable Zr-H phases and reproduces the α-β …
‘Unbelievable’: Perspectives On The Digital World In Manang, Alex Halaby
‘Unbelievable’: Perspectives On The Digital World In Manang, Alex Halaby
Independent Study Project (ISP) Collection
Manang lies one hundred miles northwest of Kathmandu in a valley called Nyeshang. Until a major road was constructed in 2014, the challenge of importing goods in and out of the town slowed the development of digital infrastructures supporting internet use. Consequently, the widespread use of the internet and digital communication is a relatively new phenomenon. Already, its effects are visible in classrooms, health clinics, hotels, and social structures. This paper investigates how Manangis learn about themselves, each other, and the world outside the valley in this new digital space. Emphasis is not placed on quantifications, but rather on the …
Construction Aspects And Seismic Analysis Of Typical Buildings In Dolpo, Lhakpa Tsering
Construction Aspects And Seismic Analysis Of Typical Buildings In Dolpo, Lhakpa Tsering
Independent Study Project (ISP) Collection
This study delves into the construction aspects and seismic analysis of typical buildings in the challenging terrain of Dolpo, situated within the Himalayan mountain range. Dolpo's unique geological and geographical characteristics, combined with its susceptibility to seismic activity, make it crucial to investigate and understand the dynamics of construction in this remote region. The research explores traditional and contemporary building practices, aiming to elucidate the interplay between construction methodologies and seismic resilience. Through a comprehensive examination of the geological context, structural design, and seismic vulnerability, this study contributes valuable insights to inform the development of robust and earthquake-resistant building strategies …
Robustness Of Convolutional Neural Networks: Analysis And Applications, Xin Zhang
Robustness Of Convolutional Neural Networks: Analysis And Applications, Xin Zhang
Theses and Dissertations
Convolutional neural networks (CNNs) have gained increasing popularity and versatility in recent decades, finding applications in diverse domains including image recognition, natural language processing, recommendation systems, as well as safety-critical areas like autonomous driving, medical diagnostics, and military fields. However, the widespread use of CNNs in safety-critical applications has also given rise to concerns regarding their robustness. The low robustness of CNNs may lead to erroneous predictions and even significant losses of human life and property, especially when dealing with corner cases or boundary cases in real-world problem-solving. Most existing methods for evaluating CNNs still heavily rely on their accuracy …
Rational Design Of Complex Oxides By Understanding Structure-Property Relationships For Energy Applications, Gene Yang
Theses and Dissertations
Developing novel energy materials is a key step toward satisfying the needs for next-generation energy conversion and storage devices. Complex oxides are widely used in many energy technologies owing to their fascinating properties, including electrocatalytic activity, and ionic and electronic conductivity. In particular, oxides in thin film form yield many intriguing physicochemical properties that are unattainable in bulk oxides and thus have become critical to improving the performance of many energy devices, such as fuel cells, batteries, solar cells, and thermoelectric devices. This thesis is centered on designing oxide thin films and nanostructures via pulsed laser deposition (PLD) based on …
Synthesis And Characterization Of Electrode Materials Of Solid Oxide Cells For Energy Conversion And Storage, Haixia Li
Theses and Dissertations
Solid oxide cells (SOCs) can directly convert chemical energy to electricity in the fuel cell mode and store electricity to chemicals in the electrolysis mode. However, there are still critical barriers, such as energy efficiency and durability, for developing and commercializing SOCs. This dissertation aims to design electrode materials and optimize the cell fabrication process to address the critical barriers for SOCs in energy conversion and energy storage applications. Therefore, one primary focus of the dissertation is to develop robust fuel electrode material for solid oxide fuel cells (SOFCs) with improved sulfur tolerance. In addition, the design of novel fuel …
Wide View And Line Filter For Enhanced Image Gradient Computation And Edge Determination, Luke Bagan
Wide View And Line Filter For Enhanced Image Gradient Computation And Edge Determination, Luke Bagan
Theses and Dissertations
Edge determination is a challenging yet crucial step in the object detection process for images. It is the first in a multi-step process, serving as the foundation for all subsequent operations. Its accuracy directly affects the success of any future processing techniques and final detection. The challenge of edge detection is derived from a variety of factors, including noise, image sharpness, orientation, empirical parameters, and computational complexity. Many traditional kernel-based operators excel at tackling one of these problems, but trade off their ability to handle others. For example, the popular Sobel operator uses a horizontal and vertical constant high-pass kernel. …
Optimal Temperature-Actuated Control Of A Thermally-Insulated Roller Blind, Hani Alkhatib, Philippe Lemarchand, Brian Norton, Dominic O'Sullivan
Optimal Temperature-Actuated Control Of A Thermally-Insulated Roller Blind, Hani Alkhatib, Philippe Lemarchand, Brian Norton, Dominic O'Sullivan
Articles
By altering the thermal equilibria between internal and ambient environments, dynamic insulation can minimize heating and cooling building energy requirements. The performance of a thermally-insulated roller blind was evaluated both experimentally and via simulation studies. The variation of blind position was optimized to minimize building energy consumption, maintain thermal comfort, and minimize daylight discomfort for a particular system, location and conditions. The roller blind was adjusted between four positions, from fully-open to fully-closed, optimal indoor temperature switching thresholds found for moving to these blind positions were 15 °C, 18.4 °C, 19.4 °C and 21.4 °C, respectively. Using these resulted in …
Harnessing Surrogate Modeling And Machine Learning For Management Of Water Resources And Environmental Systems, Mahdi Erfani
Harnessing Surrogate Modeling And Machine Learning For Management Of Water Resources And Environmental Systems, Mahdi Erfani
Theses and Dissertations
In a world characterized by increasing and more frequent climate extreme events, population growth, and limited opportunities for infrastructural expansion, the imperative for more efficient and resilient planning, design, and operation of water resources and environmental systems has never been more apparent. Moreover, the emergence of high-dimensional data and the demand for quick and informed decision-making have created a critical challenge for the operation and management of these systems. To address these issues effectively, the ability to rapidly grasp and accelerate the analysis of this data is paramount, and this necessitates the innovative use of machine learning and surrogate modeling …
Field And Laboratory Characterization Of Subgrade Resilient Modulus For The Aashtoware Pavement Me, Kazi Moninul Islam
Field And Laboratory Characterization Of Subgrade Resilient Modulus For The Aashtoware Pavement Me, Kazi Moninul Islam
Theses and Dissertations
The new Mechanistic-Empirical Pavement Design Guide (MEPDG) uses the subgrade resilient modulus (MR) as the key input parameter to represent the subgrade soil behavior for pavement design. This research focused on field and laboratory characterization of subgrade resilient modulus assessing the effects of predicted distresses and IRI on the flexible pavement. The results of this study are presented in the form of three chapters and peer-reviewed journal manuscripts. Firstly (Chapter 3), MR was obtained indirectly from Falling Weight Deflectometer (FWD) data using a back-calculation tool (i.e., SCDOT, BAKFAA, and AASHTOWare 2017) or from empirical correlations with soil index properties. MR …
Heterogeneous Catalyst Design For Biomass Conversion, Dia Sahsah
Heterogeneous Catalyst Design For Biomass Conversion, Dia Sahsah
Theses and Dissertations
Catalytic upgrading of bio-based feedstocks to commodity chemicals and fuels is pivotal to a more sustainable, renewable, and environmentally benign chemical economy. However, due to the high oxygen content, high water solubility, excessive reactivity, and thermal instability, typical and well-developed catalytic material and reactor processes reliably utilized in conventional petrochemical industry are, in general, not suitable for the processing of biomass feedstocks. Therefore, the development of novel heterogeneous catalysts is necessary in order to design new high-performance catalytic reactor systems. However, rational catalyst design is a multifaceted problem, and a myriad of factors influencing the catalytic performance at the reactor …
Evaluation Of The Dynamic Response Of Gravelly Soil Under Different Drainage Conditions, Pressley Margaret Perry
Evaluation Of The Dynamic Response Of Gravelly Soil Under Different Drainage Conditions, Pressley Margaret Perry
Theses and Dissertations
Throughout history in the field of geotechnical earthquake engineering, there have been numerous experimental investigations on the dynamic behavior of soils. Many of these efforts have been focused on sand and silty sand material due to their susceptibility to liquefaction phenomena. However, gravelly soil material (i.e., soil in which gradation contains primarily gravel and sand) has exhibited this phenomenon in response to earthquake loading in many case histories. Therefore, it is important to extend the experimental assessment of gravelly soil material to develop a better understanding of the cyclic response and to support the development of numerical models. This study …
Structure Property Performance Of Ti3c2 Mxene/Polyelectrolyte Hybrids For Electronic And Electromagnetic Applications, Farivash Gholamirad
Structure Property Performance Of Ti3c2 Mxene/Polyelectrolyte Hybrids For Electronic And Electromagnetic Applications, Farivash Gholamirad
Theses and Dissertations
Hybrid materials based on transition metal carbide MXene (Ti3C2Tx) nanosheets have great potential for electronic, electromagnetic interference (EMI) shielding, and environmental applications due to the unique combination of considerable electrical conductivity of 4000 to 15000 S.cm-1, abundant surface functional groups (OH, O, F, Cl), and suitable mechanical properties. However, the performance of final products depends not only on the properties of constituent components but also on the morphology of the assembly. The strong repulsive electrical double layer forces among MXene nanosheets make control over their assembly morphology and final properties challenging. To address this challenge, this dissertation focuses on applying …
Leveraging Inflammatory Responses Toward Advancing Alzheimer’S Disease Treatments And Biomaterial Implantation, Mihyun Lim Waugh
Leveraging Inflammatory Responses Toward Advancing Alzheimer’S Disease Treatments And Biomaterial Implantation, Mihyun Lim Waugh
Theses and Dissertations
Inflammation is a body’s physiological response to pathogens, foreign materials, or tissue injury. When immune system is triggered, activated leukocytes produce cytokines and chemokines that promote migration of neutrophils and macrophages to the inflammatory regions. At early stages of injury, acute inflammation occurs immediately to fight off the pathogens and restore tissues to homeostasis. However, if the inflammation-inducing stimulus is not removed and thus cells and tissues do not return to its homeostatic state, the prolonged inflammatory responses become a chronic condition. Recent studies have indicated that the receptor for advanced glycation end-products (RAGE), a key receptor of innate immune …
Investigation Of Discrepancies In South Carolina Traffic Collision Forms, Jackson Wegmet
Investigation Of Discrepancies In South Carolina Traffic Collision Forms, Jackson Wegmet
Theses and Dissertations
The aim of this thesis is to improve the accuracy of information recorded in the South Carolina traffic collision forms. To accomplish this, it examines 200 forms containing information about fatal crashes in work zones between 2014 and 2020 to determine how many discrepancies exist between the written narrative and other fields. In addition to obtaining these statistics, this thesis seeks to identify factors that influence discrepancies. To test the hypothesis that crash complexity and weather influence the investigating officer’s level of processing (a theory developed by Craik and Lockhart in 1972), and consequentially his/her ability to complete the traffic …
Real-Time Edge Computing For Autonomous Systems, Junlin Ou
Real-Time Edge Computing For Autonomous Systems, Junlin Ou
Theses and Dissertations
This research presents systematic studies and algorithmic and hardware development to enable real-time edge computing for autonomous systems, in particular, for robot path planning and localization applications. First, a low-cost, indoor, multi-camera positioning system is proposed to localize ground robots using the ArUco marker. In this system, the normalized coordinates of the marker processed by OpenCV are utilized to calculate the camera coordinates. Data-driven models are developed to establish a mapping relationship between the camera coordinates and the world coordinates of the marker. Fifty data pairs of the camera and world coordinate systems within one camera view (150 pairs in …
Neutrosophic Bicubic B-Spline Surface Interpolation Model For Uncertainty Data, Siti Nur Idara Rosli, Mohammad Izat Emir Zulkifly
Neutrosophic Bicubic B-Spline Surface Interpolation Model For Uncertainty Data, Siti Nur Idara Rosli, Mohammad Izat Emir Zulkifly
Neutrosophic Systems with Applications
Dealing with the uncertainty data problem using neutrosophic data is difficult since certain data are wasted due to noise. To address this issue, this work proposes a neutrosophic set (NS) strategy for interpolating the B-spline surface. The purpose of this study is to visualize the neutrosophic bicubic B-spline surface (NBB-sS) interpolation model. Thus, the principal results of this study introduce the NBB-sS interpolation method for neutrosophic data based on the NS notion. The neutrosophic control net relation (NCNR) is specified first using the NS notion. The B-spline basis function is then coupled to the NCNR to produce the NBB-sS. This …
Creating An Automatic Lowering Function For Quarter-Scale Tractor Pulling Sled, Sam Wilkins
Creating An Automatic Lowering Function For Quarter-Scale Tractor Pulling Sled, Sam Wilkins
Honors Program: Senior Projects (Public)
As the agricultural industry works to continuously integrate innovative technology and improve production efficiency, improved on-board data acquisition and transmission will be necessary for all agricultural machines. To make this a reality, the utilization of controller area network (CAN) technology will be crucial. Therefore, it is important for all agricultural engineers to have foundational knowledge of CAN bus systems and the standards that govern their use in industry. The UNL quarter-scale tractor team regularly utilizes CAN buses on their tractors and testing equipment. One such testing machine is the team’s pulling sled, which uses CAN messages to transport important information …
Designing Tomorrow's Reality: The Development And Validation Of An Augmented And Mixed Reality Heuristic Checklist, Jessyca Derby
Designing Tomorrow's Reality: The Development And Validation Of An Augmented And Mixed Reality Heuristic Checklist, Jessyca Derby
Doctoral Dissertations and Master's Theses
Augmented (AR) and Mixed Reality (MR) are new and currently developing technologies. They have been used and shown promise and popularity in the domains of education, training, enterprise, retail, consumer products, and more. However, there is a lack of consistency and standards in AR and MR devices and applications. Interactions and standards in one application may drastically differ from another. This may make it difficult for users, especially those new to these technologies, to learn and feel comfortable using the devices or applications. It may also hinder the usability of the applications as designers may not follow proven techniques to …