Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- University of Nebraska - Lincoln (3699)
- University of Kentucky (781)
- Missouri University of Science and Technology (777)
- Old Dominion University (468)
- Brigham Young University (454)
-
- National Taiwan Ocean University (370)
- New Jersey Institute of Technology (366)
- California Polytechnic State University, San Luis Obispo (297)
- Michigan Technological University (278)
- University of Texas at Arlington (272)
- University of Central Florida (245)
- University of Nevada, Las Vegas (231)
- University of South Carolina (206)
- University of Texas Rio Grande Valley (202)
- Utah State University (201)
- Purdue University (190)
- Louisiana State University (174)
- Clemson University (169)
- University of Texas at El Paso (128)
- University of Alabama at Birmingham (123)
- Portland State University (122)
- University of South Florida (106)
- Cleveland State University (103)
- Universitas Indonesia (103)
- University of Arkansas, Fayetteville (103)
- Embry-Riddle Aeronautical University (101)
- Western Michigan University (98)
- Florida Institute of Technology (95)
- Marquette University (93)
- Tashkent State Technical University (88)
- Keyword
-
- Gas (251)
- And Energy; Structural Materials; Sustainability (248)
- Energy Systems; Environmental Indicators and Impact Assessment; Environmental Monitoring; Mining Engineering; Oil (248)
- Engineering (204)
- Optimization (141)
-
- ASME (124)
- Applied sciences (123)
- Conference (122)
- ECTC (122)
- Proceedings (122)
- CFD (100)
- Mechanical Engineering (89)
- Simulation (88)
- Robotics (81)
- Additive manufacturing (78)
- Department of Mechanical and Materials Engineering (75)
- Heat transfer (71)
- Computational fluid dynamics (69)
- Modeling (67)
- Machine learning (65)
- Design (58)
- Finite element method (57)
- Additive Manufacturing (56)
- Department of Mechanical Engineering-Engineering Mechanics (53)
- Combustion (52)
- MEMS (51)
- Mechanical engineering (51)
- Energy (50)
- Computational Fluid Dynamics (49)
- Finite element analysis (49)
- Publication Year
- Publication
-
- Nebraska Tractor Tests (3402)
- Theses and Dissertations (709)
- World of Coal Ash Proceedings (579)
- Journal of Marine Science and Technology–Taiwan (370)
- Masters Theses (348)
-
- Mechanical & Aerospace Engineering Theses & Dissertations (320)
- Mechanical and Aerospace Engineering Faculty Research & Creative Works (296)
- Theses (277)
- Electronic Theses and Dissertations (258)
- Faculty Publications (241)
- Mechanical Engineering Faculty Publications (174)
- Dissertations (170)
- Mechanical and Aerospace Engineering Theses - Archive (168)
- Mechanical Engineering (141)
- Doctoral Dissertations (130)
- Department of Mechanical and Materials Engineering: Faculty Publications (129)
- Open Access Theses & Dissertations (126)
- Early Career Technical Journal (ECTJ) (122)
- Master's Theses (115)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (104)
- USF Tampa Graduate Theses and Dissertations (103)
- LSU Master's Theses (100)
- Dissertations, Master's Theses and Master's Reports (99)
- Mechanical and Aerospace Engineering Dissertations - Archive (98)
- Theses and Dissertations--Mechanical and Aerospace Engineering (93)
- All Graduate Theses and Dissertations, Spring 1920 to Summer 2023 (90)
- Technical science and innovation (85)
- All Theses (84)
- Tanzania Journal of Engineering and Technology (TJET) (79)
- Dissertations and Theses (77)
- Publication Type
- File Type
Articles 961 - 990 of 13111
Full-Text Articles in Entire DC Network
Lithicone-Protected Lithium Metal Anodes For Lithium Metal Batteries With Nickel-Rich Cathode Materials, Ridwan A. Ahmed, Kevin V. Carballo, Krishna P. Koirala, Qian Zhao, Peiyuan Gao, Ju-Myung Kim, Cassidy S. Anderson, Xiangbo Meng, Chongmin Wang, Ji-Guang Zhang, Wu Xu
Lithicone-Protected Lithium Metal Anodes For Lithium Metal Batteries With Nickel-Rich Cathode Materials, Ridwan A. Ahmed, Kevin V. Carballo, Krishna P. Koirala, Qian Zhao, Peiyuan Gao, Ju-Myung Kim, Cassidy S. Anderson, Xiangbo Meng, Chongmin Wang, Ji-Guang Zhang, Wu Xu
Mechanical Engineering Faculty Publications and Presentations
The high energy density advantage of lithium (Li) metal batteries (LMBs) makes them increasingly desirable; however, problems such as strong reactivity and dendrite growth of Li metal anode limit their practical uses. In this work, a novel Li-containing glycerol (LiGL) or lithicone protection layer on a 50 μm thick Li metal anode is employed for improving the performance of LMBs. This LiGL layer was accurately deposited via a molecular layer deposition (MLD) process at 150°C, using lithium tert-butoxide and glycerol as precursors. The as-formed LiGL coating layer is highly tunable in its thickness by simply adjusting MLD cycles and shows …
Optimal Control Of Nonlinear, Nonautonomous, Energy Harvesting Systems Applied To Point Absorber Wave Energy Converters, Houssein Yassin, Tania Demonte Gonzalez, Kevin Nelson, Gordon Parker, Wayne Weaver
Optimal Control Of Nonlinear, Nonautonomous, Energy Harvesting Systems Applied To Point Absorber Wave Energy Converters, Houssein Yassin, Tania Demonte Gonzalez, Kevin Nelson, Gordon Parker, Wayne Weaver
Michigan Tech Publications
Pursuing sustainable energy solutions has prompted researchers to focus on optimizing energy extraction from renewable sources. Control laws that optimize energy extraction require accurate modeling, often resulting in time-varying, nonlinear differential equations. An energy-maximizing optimal control law is derived for time-varying, nonlinear, second-order, energy harvesting systems. We demonstrate that sustaining periodic motion under this control law when subjected to periodic disturbances necessitates identifying appropriate initial conditions, inducing the system to follow a limit cycle. The general optimal solution is applied to two point absorber wave energy converter models: a linear model where the analytical derivation of initial conditions suffices and …
Transition Of Buoyancy-Driven Flow From An Axisymmetric To Non-Axisymmetric Vortex Inside An Evaporating Sessile Droplet, Jialing Yu, Zhenhai Pan, Justin A. Weibel
Transition Of Buoyancy-Driven Flow From An Axisymmetric To Non-Axisymmetric Vortex Inside An Evaporating Sessile Droplet, Jialing Yu, Zhenhai Pan, Justin A. Weibel
CTRC Research Publications
The internal flow within an evaporating sessile droplet has intriguing fluid mechanics important to various microfluidics applications. In the present study, a phenomenon is observed through numerical methods wherein the buoyancy-driven flow structure inside a droplet on a non-wetting substrate transitions from an axisymmetric toroidal vortex flow to a non-axisymmetric single vortex flow with increase in the substrate temperature. As the axisymmetric nature of the droplet flow field and evaporation characteristics are broken, the internal velocity accelerates significantly. The transition, which is attributed to a flow instability inside the droplet, is more prone to occur as the droplet volume or …
Nonlinear Model Predictive Control Of Heaving Wave Energy Converter With Nonlinear Froude–Krylov Forces, Tania Demonte Gonzalez, Enrico Anderlini, Houssein Yassin, Gordon Parker
Nonlinear Model Predictive Control Of Heaving Wave Energy Converter With Nonlinear Froude–Krylov Forces, Tania Demonte Gonzalez, Enrico Anderlini, Houssein Yassin, Gordon Parker
Michigan Tech Publications
Wave energy holds significant promise as a renewable energy source due to the consistent and predictable nature of ocean waves. However, optimizing wave energy devices is essential for achieving competitive viability in the energy market. This paper presents the application of a nonlinear model predictive controller (MPC) to enhance the energy extraction of a heaving point absorber. The wave energy converter (WEC) model accounts for the nonlinear dynamics and static Froude–Krylov forces, which are essential in accurately representing the system’s behavior. The nonlinear MPC is tested under irregular wave conditions within the power production region, where constraints on displacement and …
The Effect Of Road Profile On The Performance Of A Full Car Suspension Model Ride Comfort., Bassem Nashaat Zakher Assistant Professor, Ibrahim Mahmoud El Fahham Professor, Mostafa Mohamed Mohamed Associated Professor, Mohamed Abdelfattah Elgohary Associated Professor
The Effect Of Road Profile On The Performance Of A Full Car Suspension Model Ride Comfort., Bassem Nashaat Zakher Assistant Professor, Ibrahim Mahmoud El Fahham Professor, Mostafa Mohamed Mohamed Associated Professor, Mohamed Abdelfattah Elgohary Associated Professor
Journal of Engineering Research
A full-car eight-degrees of freedom model is used to investigate the dynamic response of vehicles subjected to different road profiles on ride comfort. Two road profiles are used in this study, which include the effect of the vehicle mass and moment of inertia on the vehicle ride comfort. In the proposed vehicle model, the masses of the tires, damping, and stiffness are variables. Also, the suspension parameters and the location of the centre of gravity of the vehicle body can be changed. The Lumped Mechanical System interface of COMSOL Multiphysics is used to model the tires, the suspension system, and …
Review Of Wood Drying Technologies, Mohamed Salah Elmetwaly, Lotfy Hassan Rabie Saker, Mohamed Sameh Salem
Review Of Wood Drying Technologies, Mohamed Salah Elmetwaly, Lotfy Hassan Rabie Saker, Mohamed Sameh Salem
Journal of Engineering Research
Abstract- This article provides a comprehensive review of drying optimization in data centers by examining the limitations of drying methods and discussing advances proposed by scientists through whom we can provide a comparison between different drying systems with an emphasis on improving energy efficiency and thermal performance. Wood drying under atmospheric pressure has many advantages, including the ability to dry at lower temperatures (by reducing the likelihood of some drying defects), significantly reduced drying times, color preservation, increased energy efficiency, better control of volatile organic compound emissions, and the ability to dry very large cross sections. Previous studies have achieved …
Basic Psychological Needs Satisfaction And Well-Being Among Seafarers: An Investigation Of Interaction Effects Through The Lens Of Self-Determination Theory, Nong Vuong Phi, Kung Don Ye, Feng Ming Tsai, Hsiao Chao Hsieh, Shiou-Yu Chen
Basic Psychological Needs Satisfaction And Well-Being Among Seafarers: An Investigation Of Interaction Effects Through The Lens Of Self-Determination Theory, Nong Vuong Phi, Kung Don Ye, Feng Ming Tsai, Hsiao Chao Hsieh, Shiou-Yu Chen
Journal of Marine Science and Technology–Taiwan
Enhancing employee well-being is a primary goal for enterprise sustainable development. Although seafarers represent a major human resource in the maritime industry, the distinctive demands of their profession often compel them to compromise on certain elements in fulfilling their basic psychological needs, thereby contributing to mental health challenges. Recently, COVID-19 and its associated border control measures have prolonged the voyages of seafarers, drawing public attention to the topic of seafarer well-being. In this study, self-determination theory was used to explore the effects of autonomy, competence, and relatedness as fundamental psychological needs on seafarer well-being. After the independent effects of these …
Study Of The Synthesis Mechanism And Some Properties Of Oligomers Based On Epichlorohydrin And Diphenylguanidine, Rovshan Israilovich Ismailov, Normuhamad Edgarov, Alisher Israilovich Ismailov
Study Of The Synthesis Mechanism And Some Properties Of Oligomers Based On Epichlorohydrin And Diphenylguanidine, Rovshan Israilovich Ismailov, Normuhamad Edgarov, Alisher Israilovich Ismailov
Technical science and innovation
In this work, the synthesis and the scheme for obtaining an oligomer based on epiiodhydrin with diphenylguanidine were studied, the proportions of epiiodhydrin in the initial mixture, the yield of oligomers, and the reduced viscosity were studied. The results of spectroscopic and elemental analyzes are obtained, which show that changes in the ratio of monomers have almost no effect on the iodine content in the oligomer. This is apparently due to the fact that epiiodhydrin is much more active in reactions than amino compounds. By studying the degree of conversion on the viscosity of the oligomerization products, the effects on …
Development Of A Universal Humidity Converter At Ultra High Frequency, Hulkar Asadullayevna Usmonova, Asadulla Turgunbayev
Development Of A Universal Humidity Converter At Ultra High Frequency, Hulkar Asadullayevna Usmonova, Asadulla Turgunbayev
Technical science and innovation
The article proposes the and principle of operation of a universal primary measuring transducer of humidity at an ultra-high frequency with reciprocating motion along the vertical axis of rotation, which allows increasing the information redundancy of the primary measuring transducer (the influence of inhomogeneities, including humidity in the composition of the material, on the measurement result is averaged). The design of the primary measuring transducer under consideration provides for correction of the moisture measurement result by the mass (density) of the material, which will make it possible to carry out measurements without preliminary weighing the sample. The obtained results of …
Analysis Of The Drives Of Pumping Stations In The Southern Part Of The Angren Coal Mine Of Uzbekugol Jsc, Shukhrat Badretdinovich Umarov, Murakam Mirzakhmatovich Mirsaidov, Islombek A’Lobekovich Abdullabekov, Saidamirkhon Hayrullakhon O‘G‘Li Oripov
Analysis Of The Drives Of Pumping Stations In The Southern Part Of The Angren Coal Mine Of Uzbekugol Jsc, Shukhrat Badretdinovich Umarov, Murakam Mirzakhmatovich Mirsaidov, Islombek A’Lobekovich Abdullabekov, Saidamirkhon Hayrullakhon O‘G‘Li Oripov
Technical science and innovation
This article presents the results of a comprehensive analysis of the operation of pumping station drives in the southern part of the Angren coal mine of Uzbekugol JSC. The modes of operation and designs of pumps of various types are considered, including СPSH 850-240, D320-50, D1200-125 and GR170-30. The study covers the performance characteristics of these pumps, as well as their adaptation to the specific conditions of the coal mine. Special attention is paid to the impact of climate change on the operating modes of pumping units. Changes in the amount and intensity of precipitation, as well as fluctuations in …
Propagation Of Stress Shock Waves In Elastoplastic Continuous Media With Spherical Symmetry, Abdimital Nabiyevich Nabiyev, Abdumalik Abdumurodovich Nabiyev
Propagation Of Stress Shock Waves In Elastoplastic Continuous Media With Spherical Symmetry, Abdimital Nabiyevich Nabiyev, Abdumalik Abdumurodovich Nabiyev
Technical science and innovation
The article examines the motion caused by the explosion of a spherical charge in elastoplastic continuous media. When a charge explodes, it is assumed that the charge instantly turns into a high-pressure gas without changing its volume, and this gas spreads into the environment, forming a shock wave with spherical symmetry. Taking into account the presence of tangential stresses in inclined areas, equations of one-dimensional dynamic motion of soil are derived, according to which the patterns of propagation of shock waves in soil massifs during an explosion with spherical symmetry are studied. To find the limiting state of the soil, …
Advancements In The Programmable Hyperspectral Seawater Scanner Measurement Technology For Enhanced Detection Of Harmful Algal Blooms, John J. Langan, Jungyun Bae
Advancements In The Programmable Hyperspectral Seawater Scanner Measurement Technology For Enhanced Detection Of Harmful Algal Blooms, John J. Langan, Jungyun Bae
Michigan Tech Publications
The Programmable Hyperspectral Seawater Scanner (PHySS) represents a significant breakthrough in monitoring harmful algal blooms (HABs), specifically targeting the “Florida red tide” caused by Karenia brevis. By utilizing a Fourth-Derivative Spectral Similarity Index (SI), this study establishes a strong positive correlation between the SI and phytoplankton counts, underscoring the PHySS’s potential for early detection and effective management of HABs. Our findings suggest that the PHySS could act as a predictive tool, offering crucial lead time to mitigate the ecological and economic repercussions of blooms. However, this study also identifies certain limitations of the PHySS technology, such as its inability to …
Impulse, Fall 2024, Jill Fier, Micayla Standish, Jerome J. Lohr College Of Engineering
Impulse, Fall 2024, Jill Fier, Micayla Standish, Jerome J. Lohr College Of Engineering
Impulse (Jerome J. Lohr College of Engineering Publication)
2 | Math Teacher Counts Her Blessings
3 | New Roles for Burckhard
4 | Three New Department Heads
6 | New Faculty and Staff
8 | Taking Engineering on The Road
10 | Dennis Helder Named Distinguished Alum
12 | Mccomish Endowment Making an Impact
14 | Innovate Sodak Supports Local Projects
16 | R1 the SDSU Way
18 | Nation’s Top Civil Engineering Student Chapter
22 | Hunter Wallster Setting Records
24 | Jenna Currier: When Passion Meets Talent
28 | Student Teams Compete
30 | RASC-AL Team Overcomes Setback
32 | Break the Ice Team Comes Home …
Efficient Real-Time Droplet Tracking In Crop-Spraying Systems, Troung Nhut Huynh, Travis Burgers, Kim-Doang Nguyen
Efficient Real-Time Droplet Tracking In Crop-Spraying Systems, Troung Nhut Huynh, Travis Burgers, Kim-Doang Nguyen
Mechanical Engineering Faculty Publications
Spray systems in agriculture serve essential roles in the precision application of pesticides, fertilizers, and water, contributing to effective pest control, nutrient management, and irrigation. These systems enhance efficiency, reduce labor, and promote environmentally friendly practices by minimizing chemical waste and runoff. The efficacy of a spray is largely determined by the characteristics of its droplets, including their size and velocity. These parameters are not only pivotal in assessing spray retention, i.e., how much of the spray adheres to crops versus becoming environmental runoff, but also in understanding spray drift dynamics. This study introduces a real-time deep learning-based approach for …
2024 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department
2024 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department
ENSI Informer Magazine Archive
The ENSI Informer Magazine published in the fall of 2024.
Temporal Forecasting Of High-Rate Dynamic Using Physics-Informed Machine Learning And Hardware-Software Co-Design, Puja Chowdhury
Temporal Forecasting Of High-Rate Dynamic Using Physics-Informed Machine Learning And Hardware-Software Co-Design, Puja Chowdhury
Theses and Dissertations
Due to aging, fatigue, corrosion, and even natural disasters; the health of the structure is prone to degradation throughout its service life. The explosively-fast growing efforts on Structural health monitoring (SHM) always try to exploit different aspects of the automation of damage detection, localization, and prognosis tasks. One of the main challenges is the hardware and software co-design to implement the model in real-life situations. On the other hand, the fast-advancing artificial intelligence draws the researchers' attention to adopt different data-driven approaches in this field. This brings other challenges like domain-specific model adaptation, data bias, data scarcity, model validation by …
Surrogate Models For Stress-Strain Mapping Of Microscale Physics, Samuel Roach, Dr. Eric Ocegueda
Surrogate Models For Stress-Strain Mapping Of Microscale Physics, Samuel Roach, Dr. Eric Ocegueda
College of Engineering Summer Undergraduate Research Program
•Learn the difference between different neural networks within machine learning (ML) •Develop a working understanding of the ML tool Pytorch and machine learning operator: Recurrent Neural Operator •Use MATLAB to create and process time dependent stress/strain matrices to display the hyper-parameters for different RNOs •Apply RNO to train the strain-stress mapping of tri-laminate and granular cases
Seismic Resilience Of Timber Homes, Melia R. Costa
Seismic Resilience Of Timber Homes, Melia R. Costa
College of Engineering Summer Undergraduate Research Program
The vast majority of residential buildings in California are wood-frame structures. A home is typically a very large investment for families, and damage to the home can be detrimental to a family’s economic success. Thus, reducing the economic impacts of an earthquake on residential timber housing is crucial. A full scale, two-story section of a residential timber house is in construction in the Parson’s Geotechnical and Earthquake Engineering Laboratory on the Cal Poly campus in San Luis Obispo, California. Once built it will be put through earthquake simulation tests on a shake table with various magnitudes of seismic activity. Next, …
Assessing The Impact Of Femur Morphological Variations On Pediatric Hip Joint Biomechanics Using Statistical Shape Modeling, Tamara Chambers
Assessing The Impact Of Femur Morphological Variations On Pediatric Hip Joint Biomechanics Using Statistical Shape Modeling, Tamara Chambers
Doctoral Dissertations and Master's Theses
This dissertation aimed to (1) quantify morphological variations in the pediatric hip joint and (2) evaluate the sensitivity of an infant musculoskeletal model (MSM) to these variations, considering hip joint center estimation errors. A shape statistical model (SSM) of decedent infant femurs from the Ortolani collection was created using ShapeWorks, capturing key morphological features, such as variations in the femoral neck-shaft and anteversion angles. Seven synthetic femurs were generated from the SSM to create SSM-informed MSMs, which were systematically evaluated through kinematics and kinetics analyses in OpenSim. Incorporating the SSM led to slight changes in the pediatric MSMs’ kinematics but …
A Comprehensive Study On Long-Term Durability Of Protective Epoxy Coatings For Electrified Roadways, Md Tareq Hassan, Samiul Alam, Juhyeong Lee
A Comprehensive Study On Long-Term Durability Of Protective Epoxy Coatings For Electrified Roadways, Md Tareq Hassan, Samiul Alam, Juhyeong Lee
Mechanical and Aerospace Engineering Faculty Publications
Underground wireless power transmission (WPT) systems are susceptible to environmental threats such as high temperatures, water ingress, and mechanical impact from above-ground objects. Typical WPT systems electronics are safeguarded with civil-grade epoxy coating, thus it is imperative to assess the coating's durability in these extreme conditions. Among various environmental threats, this study is primarily focused on both experimental and numerical investigations on long-term water diffusion characteristics of civil-grade epoxy materials at various temperatures. A series of water diffusion tests were performed on the specimens made from two commercially available electronics casting epoxy materials at room (23°C) and high (50°C) temperatures. …
Autonomous Real-Time Model Updating Within Digital Twin Frameworks For Thermal Systems, Braden Robert Priddy
Autonomous Real-Time Model Updating Within Digital Twin Frameworks For Thermal Systems, Braden Robert Priddy
Theses and Dissertations
As engineering systems increase in scale and complexity in the era of the Fourth Industrial Revolution, data-driven solutions will become essential in enabling the next generation of these systems. One of the trending tools that can aid in this transition is digital twins. As physical systems degrade throughout their life cycles, their behavior also changes. Digital twins use data assimilation to continuously update virtual models to represent the current state of their physical counterparts. A reliable digital twin can be leveraged by a system operator to perform diagnostics, optimize, and tests without ever needing the physical system. However, implementing effective …
Advancement Of The Zinc Ion Battery: Polymer Electrolyte And Electrode Development For Aqueous Zinc-Ion Batteries, Roya Rajabi
Advancement Of The Zinc Ion Battery: Polymer Electrolyte And Electrode Development For Aqueous Zinc-Ion Batteries, Roya Rajabi
Theses and Dissertations
Rechargeable aqueous zinc-ion batteries (ZIBs) have garnered significant attention in recent years as a promising candidate for stationary large-scale energy storage due to their distinct safety features and cost-effectiveness compared to conventional lithium-ion batteries. Despite their great potential, ZIBs are currently facing critical challenges for commercialization, including poor cycle stability at low discharge rates, lower energy density (Wh/kg) and higher self-discharge rate. These issues must be addressed for them to become a viable energy storage solution. The above challenges are fundamentally rooted in the bulk properties of electrolytes and interactions with electrodes, such as; 1) formation of insulating layered double …
Leveraging The Usage Of Blockchain Towards Trust-Dominated Manufacturing Systems, Philip Joseph Samaha
Leveraging The Usage Of Blockchain Towards Trust-Dominated Manufacturing Systems, Philip Joseph Samaha
Theses and Dissertations
Smart Manufacturing has elevated manufacturing processes, transitioning from automated systems to autonomous ones. This evolution has heightened the significance of data within manufacturing facilities. The role of data has evolved from solely monitoring processes to both monitoring and extracting insights from these processes, facilitating precise control. In this context, the data infrastructure plays a critical role, encompassing both internal data circulating within the facility—such as information exchanged between controllers and actuators—and external data transmitted to and from outside entities. When the factory's cyber infrastructure is connected to the internet, security concerns escalate significantly, amplifying associated risks. Therefore, the integration of …
Mechanics Based Characterization Of Elastic Metamaterials, Mamdudur Rahman
Mechanics Based Characterization Of Elastic Metamaterials, Mamdudur Rahman
Theses and Dissertations
In bandgap engineering there is a shortage of systematic design approach which enables one to select design variables to achieve bandgap in desired frequency range. Tools that can address this can open new areas of interest, especially since phononic crystals with low frequency bandgaps have multitude of applications in attenuation of structural vibration. Furthermore, mechanics-based characterization of phononic crystals had not seen much progress in the recent years while a lot of applied research had been conducted on phononic materials with material phase periodicity and other factors taken into consideration. This work aims to propose a systematic characterization approach of …
Redefining Gas Turbine Engine Development: A Digital Twin Framework Informed By Operational Dynamics And Numerical Analysis, Sowmya Raghu
Redefining Gas Turbine Engine Development: A Digital Twin Framework Informed By Operational Dynamics And Numerical Analysis, Sowmya Raghu
Theses and Dissertations
Gas Turbine Engines (GTEs) serve as primary propulsion systems in aviation and are key for power generation units in various industrial applications. The conventional Gas Turbine Engine Development and Monitoring Lifecycle (EDML) typically encompasses six stages: preliminary design, numerical analysis, prototyping and testing, manufacturing, systems integration, and subsequent systematic monitoring processes. This dissertation redefines the gas turbine engine design and development process by synergistically integrating design capabilities, real-time operational data, and predictive maintenance through the implementation of digital twins. The primary objective is to establish a comprehensive framework for gas turbine engine design by utilizing thermodynamic and aerodynamic modeling, supported …
Promoting Synergies To Improve Manufacturing Efficiency In Industrial Material Processing: A Systematic Review Of Industry 4.0 And Ai, Md Sazol Ahmmed, Sriram Praneeth Isanaka, Frank Liou
Promoting Synergies To Improve Manufacturing Efficiency In Industrial Material Processing: A Systematic Review Of Industry 4.0 And Ai, Md Sazol Ahmmed, Sriram Praneeth Isanaka, Frank Liou
Mechanical and Aerospace Engineering Faculty Research & Creative Works
The manufacturing industry continues to suffer from inefficiency, excessively high prices, and uncertainty over product quality. This statement remains accurate despite the increasing use of automation and the significant influence of Industry 4.0 and AI on industrial operations. This review details an extensive analysis of a substantial body of literature on artificial intelligence (AI) and Industry 4.0 to improve the efficiency of material processing in manufacturing. This document includes a summary of key information (i.e., various input tools, contributions, and application domains) on the current production system, as well as an in-depth study of relevant achievements made thus far. The …
Comprehensive Study Of Energy Capturing, Conversion, And Transportation Behaviors In A Piezoelectric Vibration Energy Harvesting System, Bingqi Zhao
Mechanical & Aerospace Engineering Theses & Dissertations
Piezoelectric vibration energy harvester (PEH) is one of the hottest research areas to address renewable energy issues with over 10,000 journal articles published in the last two decades. However, several critical issues, such as the proof mass effects, electrical impedance, mechanical resonance, and energy charging processing, remain open. This dissertation presents a comprehensive study addressing the above issues.
To obtain reliable results, a professional quality flextensional PEH (FPEH) and multiple comprehensive experimental methods were developed, and ANSYS FEM modelling was used. Study of the proof mass effect indicated that the generated voltage linearly increased with the weight ratio of the …
The Hydraulically Smooth Limit Of Flow Over Surfaces With Spanwise Heterogeneity, Haosen Xu, George Ilhwan Park, Xiang Yang, Xiaowei Zhu
The Hydraulically Smooth Limit Of Flow Over Surfaces With Spanwise Heterogeneity, Haosen Xu, George Ilhwan Park, Xiang Yang, Xiaowei Zhu
Mechanical and Materials Engineering Faculty Publications and Presentations
Wall slip is conventionally obtained through riblets or grooves. As riblets are macroscopic objects, it is usually not practical to discuss slip patterns at the hydraulically smooth limit. Per Nikuradse, the smooth limit is when the characteristic length of the surface pattern is comparable to the viscous length scale. Recent studies show the possibility of slip at the microscopic scale, making slip patterns at the hydraulically smooth limit relevant. In this study, we leverage a high-fidelity pseudo-spectral code and study flow over surfaces featuring alternating strips of slip and no-slip wall conditions. The wavelength of the surface pattern, denoted as …
Thermal Management For Optimal Performance Of Unitized Regenerative Fuel Cells, Mythy T. Tran
Thermal Management For Optimal Performance Of Unitized Regenerative Fuel Cells, Mythy T. Tran
Mechanical & Aerospace Engineering Theses & Dissertations
As the race to net zero energy intensifies around the world, hydrogen production and fuel cell technologies are attracting more attention, and the technologies are growing rapidly. Together, hydrogen production and fuel cell technologies hold potential for a reliable, green, and sustainable energy system. Hydrogen is an excellent energy carrier and can be produced from various sources, especially green and renewable sources. Fuel cells generate electricity and water from hydrogen and oxygen. In reverse mode, fuel cells operate as electrolyzers to produce hydrogen and oxygen from electricity and water. However, the major drawback that keeps hydrogen and fuel cells from …
Boosting Predictive Accuracy Of Single Particle Models For Lithium-Ion Batteries Using Machine Learning, Emmanuel Olugbade, Jonghyun Park
Boosting Predictive Accuracy Of Single Particle Models For Lithium-Ion Batteries Using Machine Learning, Emmanuel Olugbade, Jonghyun Park
Mechanical and Aerospace Engineering Faculty Research & Creative Works
The accuracy of single particle (SP) models for lithium-ion batteries at high C-rates is constrained by lithium concentration gradients in the electrolyte, which affect ionic conductivity, overpotential, and reaction rates. This study addresses these limitations using extreme gradient boosting machine learning (ML). By training our ML model with data from a comprehensive electrochemical (P2D) model and performing sensitivity analysis on key battery parameters, we enhance predictive accuracy. Compared to conventional SP and P2D models under constant current loading, our ML-based SP model achieves similar predictive accuracy to P2D, with significant improvements in computational efficiency. Additionally, the ML-based SP model demonstrates …