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Developed Rc4 Algorithm With Double Reverse For Better Data Protect, Fouad Sahib Muhamed Alkhazraji Sep 2022

Developed Rc4 Algorithm With Double Reverse For Better Data Protect, Fouad Sahib Muhamed Alkhazraji

Al-Esraa University College Journal for Engineering Sciences

Computer security plays a crucial role in protecting users' data, and cryptographic techniques are commonly used for this purpose. Encryption is a method employed to ensure data confidentiality, whether it is stored on hard drives or transferred through various media. RC4 (Rivest Cipher 4) is a cryptographic algorithm that utilizes the same key for both encryption and decryption processes. It falls under the category of stream ciphers, which are widely utilized in numerous protocols due to their flexibility and speed. RC4 employs XOR (exclusive OR) function to implement its encryption and decryption steps. In this paper, a technique known as …

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Morton-Ordered Gpu Lattice Boltzmann Cfd Simulations With Application To Blood Flow, Gerald Gallagher, Fergal J. Boyle Sep 2022

Morton-Ordered Gpu Lattice Boltzmann Cfd Simulations With Application To Blood Flow, Gerald Gallagher, Fergal J. Boyle

Conference Papers

Computational fluid dynamics (CFD) is routinely used for numerically predicting cardiovascular-system medical device fluid flows. Most CFD simulations ignore the suspended cellular phases of blood due to computational constraints, which negatively affects simulation accuracy. A graphics processing unit (GPU) lattice Boltzmann-immersed boundary (LB-IB) CFD software package capable of accurately modelling blood flow is in development by the authors, focusing on the behaviour of plasma and stomatocyte, discocyte and echinocyte red blood cells during flow. Optimised memory ordering and layout schemes yield significant efficiency improvements for LB GPU simulations. In this work, comparisons of row-major-ordered Structure of Arrays (SoA) and Collected …

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Predicting Stochastic Lightning Mechanical Damage Effects On Carbon Fiber Reinforced Polymer Matrix Composites, Juhyeong Lee, Syed Zulfiqar Hussain Shah Sep 2022

Predicting Stochastic Lightning Mechanical Damage Effects On Carbon Fiber Reinforced Polymer Matrix Composites, Juhyeong Lee, Syed Zulfiqar Hussain Shah

Mechanical and Aerospace Engineering Faculty Publications

Three stochastic air blast models are developed with spatially varying elastic properties and failure strengths for predicting lightning mechanical damage to AS4/3506 carbon/epoxy composites subjected to < 100 kA peak currents: (1) the conventional weapon effects program (CWP) model, (2) the coupled eulerianlagrangian (CEL) model, and (3) the smoothed-particle hydrodynamics (SPH) model. This work is an extension of our previous studies [1–4] that used deterministic air blast models for lightning mechanical damage prediction. Stochastic variations in composite material properties were generated using the Box-Muller transformation algorithm with the mean (i.e., room temperature experimental data) and their standard deviations (i.e., 10% of the mean herein as reference). The predicted dynamic responses and corresponding damage initiation prediction for composites under equivalent air blast loading were comparable for the deterministic and stochastic models. Overall, the domains with displacement, von-Mises stress, and damage initiation contours predicted in the stochastic models were somewhat sporadic and asymmetric along the fiber’s local orientation and varied intermittently. This suggests the significance of local property variations in lightning mechanical damage prediction. Thus, stochastic air blast models may provide a more accurate lightning mechanical damage approximation than traditional (deterministic) air blast models. All stochastic models proposed in this work demonstrated satisfactory accuracy compared to the baseline models, but required substantial computational time due to the random material model generation/assignment process, which needs to be optimized in future work.

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Thermodynamic Limits Of Atmospheric Water Harvesting, Akshay K. Rao, Andrew J. Fix, Yun Chi Yang, David M. Warsinger Sep 2022

Thermodynamic Limits Of Atmospheric Water Harvesting, Akshay K. Rao, Andrew J. Fix, Yun Chi Yang, David M. Warsinger

School of Mechanical Engineering Faculty Publications

Atmospheric water harvesting (AWH) is a rapidly emerging approach for decentralized water production, but current technology is limited by trade-offs between energy consumption and yield. The field lacks a common basis to compare different AWH technologies and a robust understanding of the performance impacts of water recovery, desorption humidity (for sorbent systems), and realistic component-level efficiencies. By devising a set of unifying assumptions and consistent parameters across technologies, we provide the first fair thermodynamic comparison over a broad range of environmental conditions. Using 2nd law analysis, or least work, we study the maximum efficiency for common open system AWH methods …

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Microgrid Energy Management During High-Stress Operation, Thomas Price, Gordon Parker, Gail Vaucher, Robert Jane, Morris Berman Sep 2022

Microgrid Energy Management During High-Stress Operation, Thomas Price, Gordon Parker, Gail Vaucher, Robert Jane, Morris Berman

Michigan Tech Publications, Part 1

We consider the energy management of an isolated microgrid powered by photovoltaics (PV) and fuel-based generation with limited energy storage. The grid may need to shed load or energy when operating in stressed conditions, such as when nighttime electrical loads occur or if there is little energy storage capacity. An energy management system (EMS) can prevent load and energy shedding during stress conditions while minimizing fuel consumption. This is important when the loads are high priority and fuel is in short supply, such as in disaster relief and military applications. One example is a low-power, provisional microgrid deployed temporarily to …

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Overview Of Arbitrarily High-Order Adjoint Sensitivity And Uncertainty Quantification Methodology For Large-Scale Systems, Dan Gabriel Cacuci Sep 2022

Overview Of Arbitrarily High-Order Adjoint Sensitivity And Uncertainty Quantification Methodology For Large-Scale Systems, Dan Gabriel Cacuci

Faculty Publications

This work reviews from a unified viewpoint the concepts underlying the “nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint Linear Systems” (nth-CASAM-L) and the “nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems” (nth-CASAM-N) methodologies. The practical application of the nth-CASAM-L methodology is illustrated for an OECD/NEA reactor physics benchmark, while the practical application of the nth-CASAM-N methodology is illustrated for a nonlinear model of reactor dynamics that exhibits periodic and chaotic oscillations. As illustrated both by the general theory and by the examples reviewed in this work, both the nth-CASAM-L and nth-CASAM-N methodologies overcome the curse of dimensionality …

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Advances In High-Order Sensitivity Analysis For Uncertainty Quantification And Reduction In Nuclear Energy Systems, Dan Gabriel Cacuci Sep 2022

Advances In High-Order Sensitivity Analysis For Uncertainty Quantification And Reduction In Nuclear Energy Systems, Dan Gabriel Cacuci

Faculty Publications

No abstract provided.

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Micro-Triboelectric Generator For Zero-Power Shock Detection, Mohammad Alzgool, Mohammad Mousavi, Benyamin Davaji, Shahrzad Towfighian Sep 2022

Micro-Triboelectric Generator For Zero-Power Shock Detection, Mohammad Alzgool, Mohammad Mousavi, Benyamin Davaji, Shahrzad Towfighian

Mechanical Engineering Faculty Scholarship

This work shows zero-power shock sensing for the combination of a micro-triboelectric generator and MEMS electrostatic actuator system where the mechanical shock to the generator causes it to produce volt- age, this voltage is used to actuate a Micro-Electro-Mechanical-system (MEMS) switch. For the first time, we present the fabrication process of a Triboelectric-Nano-Generator (TENG) with MEMS technology. The MEMS-TENG has a suspended 1.5mm × 1.5mm plate separated by 2 μm from the substrate. The generator is a triboelectric transducer made of a suspended Al micro-plate above a polyimide (PI) thin layer that is covered by another Al layer in the …

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Turning Of Carbon Fiber Reinforced Polymer (Cfrp) Composites: Process Modeling And Optimization Using Taguchi Analysis And Multi-Objective Genetic Algorithm, S. M. Abdur Rob, Anil K. Srivastava Sep 2022

Turning Of Carbon Fiber Reinforced Polymer (Cfrp) Composites: Process Modeling And Optimization Using Taguchi Analysis And Multi-Objective Genetic Algorithm, S. M. Abdur Rob, Anil K. Srivastava

Manufacturing & Industrial Engineering Faculty Publications

Carbon Fiber Reinforced Polymer (CFRP) composites have been widely used in aerospace, automotive, nuclear, and biomedical industries due to their high strength-to-weight ratio, corrosion resistance, durability, and excellent thermo-mechanical properties in non-oxidative atmospheres. Machining of CFRP composites has always been a challenge for manufacturers. In this research, a comparative study was performed between the optimal machining parameters of coated and uncoated carbide inserts obtained from the Multi-Objective Genetic Algorithm during turning of CFRP composites. It was found that coated carbide inserts provide lower tool wear and surface roughness, but higher cutting forces compared to those of uncoated carbide inserts …

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Sensitivity Analysis, Uncertainty Quantification And Predictive Modeling Of Nuclear Energy Systems, Dan Gabriel Cacuci Sep 2022

Sensitivity Analysis, Uncertainty Quantification And Predictive Modeling Of Nuclear Energy Systems, Dan Gabriel Cacuci

Faculty Publications

No abstract provided.

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Numerical Investigation Of The Effect Of Inlet Turbulence Intensity On A Bluff-Body Stabilized Flame At Near Blow-Off Condition, Amir Ali Montakhab Aug 2022

Numerical Investigation Of The Effect Of Inlet Turbulence Intensity On A Bluff-Body Stabilized Flame At Near Blow-Off Condition, Amir Ali Montakhab

Dissertations - ALL

This thesis investigates the effect of a boundary condition on the dynamics of a bluff-body stabilized f lame operating near blow-off condition. Special emphasis is given to the effect of inlet turbulence intensity. This work is motivated by the understanding that more stringent regulations on fossil fuels generated emissions necessitate the design of combustion systems that operate at very fuel-lean conditions. Combustion at very lean conditions, however, induces flame instability that can ultimately lead to flame fluttering and eventual extinction. The dynamics of the flame at lean conditions can therefore be very sensitive to its boundary conditions. To better understand …

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Study Of Urethane Double-Coated Nylon Membranes For Fluid-Storage Applications, Micah Austin Howell Aug 2022

Study Of Urethane Double-Coated Nylon Membranes For Fluid-Storage Applications, Micah Austin Howell

Masters Theses

Polymer-coated fabrics are used for many fuel and water storage applications, such as in U.S. military field operations. Urethane-double-coated nylon (UDCN) is one such material used in collapsible fluid storage tanks. Research into the mechanical properties of UDCN membranes under different environmental conditions is necessary for substantiating its current operations as well as developing new technologies. Novel modular, closed-loop and scalable pumped-storage hydropower (PSH) systems are one technology that could use UDCN membrane tanks in order to mitigate large costs, risks, environmental impacts, and time-for deployment associated with PSH system construction due to their modular, closed-loop technology. This study focuses …

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In-Person Instruction Or Remote Learning?: Understanding Students' Learning Experiences During Covid-19, Eleazar Marquez, Samuel Garcia Aug 2022

In-Person Instruction Or Remote Learning?: Understanding Students' Learning Experiences During Covid-19, Eleazar Marquez, Samuel Garcia

Mechanical Engineering Faculty Publications

Research attests that student success in engineering education is cultivated largely due to classroom environments, academic inclusion, and engagement in undergraduate research. It is further revealed that the social and academic fabric of the institution such as academic advising, peer tutoring, disability services, and outdoor recreational programs is essential towards fostering well-being, recruitment, retention, and student success. However, these studies were conducted in a period in which students experienced traditional face-to-face instruction. In the wake of COVID-19, most institutions responded by terminating in-person instruction, mandating to seek off-campus housing, and shifting to a fully remote context. As such, educators were …

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Removal Of Selenium And Heavy Metals From Coal Combustion Residuals Wastewater Using Surface Modified Iron Based Media, Madan Tandukar, Alex Korff, Andrew Vincent, Chris Hardin Aug 2022

Removal Of Selenium And Heavy Metals From Coal Combustion Residuals Wastewater Using Surface Modified Iron Based Media, Madan Tandukar, Alex Korff, Andrew Vincent, Chris Hardin

World of Coal Ash Proceedings

No abstract provided.

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Purification Of Artepillin C (Arc) With Anticancer Activities From Supercritical Co2-Ethanol Extracts Of Brazilian Green Propolis By Using Adsorption Column Chromatography, Lin-Hsiang Chuang, Wen-Chin Chen, Wen Pei, Ming-Hsi Chuang, Todd Hsu, Po-Chao Chuang Aug 2022

Purification Of Artepillin C (Arc) With Anticancer Activities From Supercritical Co2-Ethanol Extracts Of Brazilian Green Propolis By Using Adsorption Column Chromatography, Lin-Hsiang Chuang, Wen-Chin Chen, Wen Pei, Ming-Hsi Chuang, Todd Hsu, Po-Chao Chuang

Journal of Marine Science and Technology–Taiwan

Phenolic compounds with varying phenolic structures are present in both terrestrial and marine organisms. Artepillin C (ARC) is a prenylated phenolic compound produced specifically in Brazilian green propolis. Earlier studies have demonstrated the potential of ARC as a dietary supplement for cancer prevention due to its ability to suppress tumor growth and metastasis. Here we report the development of an effective adsorption chromatography combined with supercritical CO2 extraction for the massive purification of ARC. A mixture of supercritical CO2 and ethanol extract of Brazilian green propolis was passed through a stainless chromatographic column packed with protruding metals at 4,000 psi …

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A Stochastic Sailing Speed Optimization And Vessel Deployment Problem In Liner Shipping, Dung-Ying Lin, Pak Weng Leong Aug 2022

A Stochastic Sailing Speed Optimization And Vessel Deployment Problem In Liner Shipping, Dung-Ying Lin, Pak Weng Leong

Journal of Marine Science and Technology–Taiwan

In this research, we consider the stochastic sailing speed optimization and vessel deployment problem and examine the trade-off between sailing speed and the number of vessels required to provide a certain service in international liner shipping. Solving this kind of stochastic program is a challenging task. To address this issue, we construct a mathematical formulation based on Ng (1) and Ng (2) and enhance the linearization techniques from Wang and Meng (3) so that problem instances of an even larger scale can be solved. The proposed formulation has been numerically applied to solve realistic cases, and the empirical results show …

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Vehicle Assignment For Chemicals Transportation, Yu-Liang Liu, Juan Huang, Ching-Wu Chu Aug 2022

Vehicle Assignment For Chemicals Transportation, Yu-Liang Liu, Juan Huang, Ching-Wu Chu

Journal of Marine Science and Technology–Taiwan

Vehicle assignment is a significant challenge faced by chemical logistics companies. The chemical industry typically outsources the delivery of chemicals to professional logistics companies to meet customers' complex and demanding needs. In this regard, this research explores the case study of a logistics company that selects its delivery modes and formulates its vehicle assignment plans based on its personnel’s experience rather than any formal system and plans its vehicle routes on the day before the delivery. This study seeks to improve the efficiency and immediacy of logistics companies’ vehicle assignments, understand vehicle route planning, maximize space utilization, and minimize transportation …

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A Hybrid Finite Difference Method For Singularly Perturbed Delay Partial Differential Equations With Discontinuous Coefficient And Source, Nitika Sharma, Aditya Kaushik Aug 2022

A Hybrid Finite Difference Method For Singularly Perturbed Delay Partial Differential Equations With Discontinuous Coefficient And Source, Nitika Sharma, Aditya Kaushik

Journal of Marine Science and Technology–Taiwan

The article presents a hybrid finite difference scheme to solve a singularly perturbed parabolic functional differential equation with discontinuous coefficient and source. The simultaneous presence of deviating argument with a discontinuous source and coefficient makes the problem stiff. The solution of the problem exhibits turning point behaviour across discontinuity as tends to zero. The hybrid scheme presented is a composition of a central difference scheme and a midpoint upwind scheme on a specially generated mesh. At the same time, an implicit finite difference method is used to discretize the time variable. Consistency, stability, and convergence of the presented numerical approach …

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Simulating And Predicting Offshore Oil Spills By Using Cellular Automata, Lin Liu, Wanwu Li, Yumeng Cui, Guanghui Hu, Hang Li Aug 2022

Simulating And Predicting Offshore Oil Spills By Using Cellular Automata, Lin Liu, Wanwu Li, Yumeng Cui, Guanghui Hu, Hang Li

Journal of Marine Science and Technology–Taiwan

In recent years, offshore oil spill accidents have caused substantial damage to both marine organisms and marine ecology. Accurate simulation and prediction of oil spills could provide a scientific basis for assessing losses due to oil spills and provide support for emergency decisions regarding oil spills. We analyzed the advantages and disadvantages of existing oil spill models and constructed an offshore oil spill model based on cellular automata (CA). By considering both the flow field and wind field, we formulated new CA rules for the diffusion and drift of a pollution zone, and in our model, the cellular state in …

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Design And Testing Of A Bearing Less Piezo Jet Micro Heat Sink, Rong-Tsu Wang, Jung-Chang Wang, Sih-Li Chen Aug 2022

Design And Testing Of A Bearing Less Piezo Jet Micro Heat Sink, Rong-Tsu Wang, Jung-Chang Wang, Sih-Li Chen

Journal of Marine Science and Technology–Taiwan

The present study utilized piezoelectric ceramics (PC) as actuators to design five new piezoelectric heatsinks and preliminarily investigated the different design types and their operating conditions, such as the frequency, placement distance, thickness between piezoelectric sheets, piezoelectric sheet size, and noise produced. The results showed that when the micro heatsink bearingless piezo jet was placed too close to the heat source, the high temperature sucked back the surrounding fluids, causing the fluid chamber temperature to rise and the cooling effect to be reduced. Therefore, the heatsink should be placed between 10 and 20 mm from the heat source. With the …

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Modeling, Analysis, And Simulation To Reveal The Mechanisms Of Ciliary Beating, Louis Woodhams Aug 2022

Modeling, Analysis, And Simulation To Reveal The Mechanisms Of Ciliary Beating, Louis Woodhams

McKelvey School of Engineering Graduate Student Theses & Dissertations

Cilia are microscopic cellular appendages that help us breathe by clearing our airways, maintain the health of our central nervous system by circulating cerebrospinal fluid, and allow us to reproduce by transporting eggs and propelling sperm cells. Cilia even determine the asymmetry of our internal organs during embryonic development. However, the mechanisms underlying ciliary beating are not fully understood. Questions remain as to how arrays of the motor protein dynein generate the propulsive waveforms observed in cilia and how structural elements within the cilium and its connection to the cell deform during beating. In the current work, mathematical modeling, analysis, …

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Droplet Dynamics And Heat Transfer During Condensation On Lubricant-Infused Surfaces, Jianxing Sun Aug 2022

Droplet Dynamics And Heat Transfer During Condensation On Lubricant-Infused Surfaces, Jianxing Sun

McKelvey School of Engineering Graduate Student Theses & Dissertations

Inspired by pitcher plants, a micro/nano- structured solid surface infused with low-surface-tension lubricant constitutes a novel class of biomimetic surfaces—lubricant-infused surfaces (LISs). Unlike solid hydrophobic and superhydrophobic surfaces, a LIS is “hemi-solid and hemi-liquid”. The thin lubricating film can extraordinarily decrease adhesion and avoid contact line pinning between the working fluid and the underlying solid, displaying many desirable properties, such as excellent liquid repellency, suppression of fouling, and self-healing. Hence, LISs are ideal for applications where liquids or contaminants must be efficiently removed from surfaces in harsh environments. For example, LISs can promote stable dropwise condensation of water or low-surface-tension …

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Flow And Thermal Transport In Additively Manufactured Metal Lattices Based On Novel Unit-Cell Topologies, Inderjot Kaur Aug 2022

Flow And Thermal Transport In Additively Manufactured Metal Lattices Based On Novel Unit-Cell Topologies, Inderjot Kaur

Theses and Dissertations

The emergence of metal Additive Manufacturing (AM) over the last two decades has opened venues to mitigate the challenges associated with stochastic open-cell metal foams manufactured through the traditional foaming process. Regular lattices with user-defined unit cell topologies have been reported to exhibit better mechanical properties in comparison to metal foams which extend their applicability to multifunctional heat exchangers subjected to both thermal and mechanical loads. The current study aims at investigating the thermal-hydraulic characteristics of promising novel unit cell topologies realizable through AM technologies. Experimental investigation was conducted on four different topologies, viz (a) Octet, (b) Face-diagonal (FD) cube, …

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28 Ghz Patch Antenna Array With Reduced Mutual Coupling For 5g Communications Systems, Rahabu F. Mwang’Amba, Hashimu Uledi Iddi Aug 2022

28 Ghz Patch Antenna Array With Reduced Mutual Coupling For 5g Communications Systems, Rahabu F. Mwang’Amba, Hashimu Uledi Iddi

Tanzania Journal of Engineering and Technology (TJET)

A 28 GHz patch antenna array with reduced mutual coupling for 5G communication systems is presented in this paper. Two elements antenna array was simulated with a periodic boundary to represent an infinity array. The antenna array is attached with a pair of the coupled directional coupler with a coupling value of -3.47 dB, and transmission lengths of 3.40 mm and 7.62 mm depending on the antenna array's magnitude and phase coefficient were designed and simulated. A reduced mutual coupling of -31.86 dB compared to -10.75 dB for an array without a decoupling network was observed. The wide scanning angle …

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Vibrating Flexoelectric Micro-Beams As Angular Rate Sensors, Yilin Qu, Feng Jin, Jiashi S. Yang Aug 2022

Vibrating Flexoelectric Micro-Beams As Angular Rate Sensors, Yilin Qu, Feng Jin, Jiashi S. Yang

Department of Mechanical and Materials Engineering: Faculty Publications

We studied flexoelectrically excited/detected bending vibrations in perpendicular directions of a micro-beam spinning about its axis. A set of one-dimensional equations was derived and used in a theoretical analysis. It is shown that the Coriolis effect associated with the spin produces an electrical output proportional to the angular rate of the spin when it is small. Thus, the beam can be used as a gyroscope for angular rate sensing. Compared to conventional piezoelectric beam gyroscopes, the flexoelectric beam proposed and analyzed has a simpler structure.

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Vibrating Flexoelectric Micro-Beams As Angular Rate Sensors, Yilin Qu, Feng Jin, Jiashi S. Yang Aug 2022

Vibrating Flexoelectric Micro-Beams As Angular Rate Sensors, Yilin Qu, Feng Jin, Jiashi S. Yang

Department of Mechanical and Materials Engineering: Faculty Publications

We studied flexoelectrically excited/detected bending vibrations in perpendicular directions of a micro-beam spinning about its axis. A set of one-dimensional equations was derived and used in a theoretical analysis. It is shown that the Coriolis effect associated with the spin produces an electrical output proportional to the angular rate of the spin when it is small. Thus, the beam can be used as a gyroscope for angular rate sensing. Compared to conventional piezoelectric beam gyroscopes, the flexoelectric beam proposed and analyzed has a simpler structure.

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Power And Voltage Modelling Of A Proton-Exchange Membrane Fuel Cell Using Artificial Neural Networks, Tabbi Wilberforce, Mohammad Biswas, Abdelnasir Omran Aug 2022

Power And Voltage Modelling Of A Proton-Exchange Membrane Fuel Cell Using Artificial Neural Networks, Tabbi Wilberforce, Mohammad Biswas, Abdelnasir Omran

Mechanical Engineering Faculty Publications and Presentations

A proton exchange membrane fuel cell (PEMFC) is a more environmentally friendly alternative to deliver electric power in various applications, including in the transportation industry. As PEMFC performance characteristics are inherently nonlinear and involved, the prediction of the performance in a given application for different operating conditions is important in order to optimize the efficiency of the system. Thus, modelling using artificial neural networks (ANNs) to predict its performance can significantly improve the capabilities of handling the multi-variable nonlinear performance of the PEMFC. However, further investigation is needed to develop a dynamic model using ANNs to predict the transient behavior …

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Data-Driven Research On Engineering Design Thinking And Behaviors In Computer-Aided Systems Design: Analysis, Modeling, And Prediction, Molla Hafizur Rahman Aug 2022

Data-Driven Research On Engineering Design Thinking And Behaviors In Computer-Aided Systems Design: Analysis, Modeling, And Prediction, Molla Hafizur Rahman

Graduate Theses and Dissertations

Research on design thinking and design decision-making is vital for discovering and utilizing beneficial design patterns, strategies, and heuristics of human designers in solving engineering design problems. It is also essential for the development of new algorithms embedded with human intelligence and can facilitate human-computer interactions. However, modeling design thinking is challenging because it takes place in the designer’s mind, which is intricate, implicit, and tacit. For an in-depth understanding of design thinking, fine-grained design behavioral data are important because they are the critical link in studying the relationship between design thinking, design decisions, design actions, and design performance. Therefore, …

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Interactions Of Vortices With Differing Creation Mechanisms In The Wake Of A Normal Flat Plate-Delta Flat Plate Couple: A Numerical Study., Cheruvateth Vivek Nair Aug 2022

Interactions Of Vortices With Differing Creation Mechanisms In The Wake Of A Normal Flat Plate-Delta Flat Plate Couple: A Numerical Study., Cheruvateth Vivek Nair

Mechanical and Aerospace Engineering Dissertations - Archive

ABSTRACT: Fluid flow is characterized by the presence of various coherent vortical structures such as vortex tubes, vortex streets, and eddies. When these vortical structures interact with each other or other distinct mechanisms in a fluid, they form a chaotic region of mixing where a large transfer of mass and energy is observed; This phenomenon is called a vortex interaction and is commonly observed in nature across large Reynolds number regimes. In engineering, vortex interactions are an important topic of research in areas such as mixing, flow induced vibrations, propulsion, aerodynamics, convection, heat island effects, hydrodynamics, and atmospheric Sciences, to …

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Peridynamic Modeling Of Crack Propagation In Brittle Materials With Electromechanical Coupling, Semsi Coskun Aug 2022

Peridynamic Modeling Of Crack Propagation In Brittle Materials With Electromechanical Coupling, Semsi Coskun

Dissertations

The bond-based peridynamics (BB-PD) is a widely used peridynamic model in the literature. Despite Poisson's ratio restriction, it still serves as a powerful tool to solve challenging engineering problems with a relatively cheap computational cost. Consider the Poisson ratio of the material does not deviate from the ones that BB-PD can model. In that case, it becomes advantageous to use the BB-PD compared to other PD models in terms of computational cost and simplicity. However, the BB-PD suffers from the so-called surface or skin effect where the material response at boundaries becomes softer than the bulk material points. As a …

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