Engineering Commons^™

Evaluation And Improvement Of A Solar Still With A Pyramidal Shape By Modifying Its Basin Design, Yaf El-Samadony, Ss Elsayed, Mohamed Abd Elnabi, Ahmed Abdo

Journal of Engineering Research

As global demand rises, freshwater shortage is a serious obstacle that calls for sustainable desalination methods. To increase desalination productivity, this paper looks at integrating photovoltaic (PV) panels with a novel pyramid solar still architecture. Two distinct configurations of pyramid solar still absorbers were created, assessed, and contrasted with a conventional pyramid solar still: configuration (1) had a square base pyramid measuring 900 cm2 and a height of 12.5 cm, while configuration (2) had a pyramid base pyramid of 2500 cm2 and a height of 21 cm. The different pyramid proportions, working concepts, and system components were explained. A thorough …

A Numerical Study On The Thermal Management Of Cylindrical Lithium-Ion Batteries By Immersion Cooling: Effect Of Coolant Distribution, Alhussein M. Abdel-Hafeez, Mohammed B. Effat, O. Hassan, N. Y. Abdel-Shafi

Journal of Engineering Research

Management of the temperature of lithium-ion batteries (LIBs) is critical for ensuring their safety and optimal performance. As the electric vehicle industry continues to evolve rapidly, the demand for efficient battery thermal management (BTM) technologies has grown. Among these, dielectric fluid immersion cooling (DFIC) has emerged as a particularly promising solution. In this study, we evaluate the impact of varying the coolant distribution on the performance of a cylindrical lithium-ion module comprising 20 cells. Coolant distribution was controlled by varying the number of coolant inlets from one to five, keeping the mass flow rate constant at 10 g/min. The performance …

Numerical Investigation Of Temperature Distribution Analysis For A Domestic Refrigerator With Different Duct Shapes, Faisal Elhabashy, A.A. Hawwash, Aly M.A. Soliman, Walid G. Alshaer

Journal of Engineering Research

The domestic refrigerator is one of the most home appliance used and the enhancement in its performance will has a significant effect on energy saving and environment. Preserving food at low and uniform temperatures is especially important to avoid Food spoilage and decreases the microorganisms. The aim of this study is to investigate numerically a different duct shapes to achieve an efficient cooling in the refrigerator and keep the temperature at the required range, using software called SIMULIA. The numerical model was developed to simulate the refrigeration system accurately, porous media and heat balance techniques were combined to the conservation …

A Non-Standard Finite Difference Approach For Optimizing The Thermal Behaviour Of Photovoltaic Panel With Hybrid Cooling Techniques, E.F. El-Gazar, A.A Hawwash, Hamdy Hassan, Shinsuke Mori, Ayman Refat Abd Elbar

Journal of Engineering Research

A finite difference model is developed to simulate the thermal behaviour of the PV system with an innovative cooling system. The proposed cooling system combines an aluminium heat spreader (AHS) with phase change material (PCM) placed at the backside of the solar panel. The new non-standard model is solved using MATLAB software and is validated with real experimental data collected under hot climate conditions. The new nonlocal model is found to be more effective in analyzing heat transfer processes throughout the entirety of the PV system compared to conventional PV models. Additionally, the new cooling PV system has been compared …

Finite Element Analysis Of Stress-Induced Phase Transformation In Sma Wire, Ali M. Mamdouh, Ali S. Helal, Yasser A F El - Samadony

Journal of Engineering Research

Shape memory alloys (SMAs) are well-known for their remarkable mechanical properties, particularly their shape memory and super-elasticity abilities. These Properties make them ideal for a variety of adaptive mechanical applications. The most common application is the implementation of SMA wires as mechanical actuators. However, the nonlinear characteristics and the hysteresis nature of SMAs limit their utility in engineering applications. This makes SMAs desirable, but it is considered a complicated material for developing advanced rehabilitation devices that can significantly enhance patient treatment. In this paper, a finite element analysis, (FEA) study investigated the behaviour of SMA wires under mechanical loads. COMSOL …

Design, Modeling, And Control Of Medical Service Quadrotor, Mohamed Eid, Anas Mohamed, Ali M. Mohamed

Journal of Engineering Research

Due to road accidents, it is difficult to supply injured people with first aid, especially in difficult-access regions. Also, uneven roads or far places pose a problem for ambulances and doctors to reach and save injured people’s lives. The paper aims to design, model, and control a drone able to fly at different heights and support patients with essential needs after accidents. The drone also contains sensors to measure blood sugar and pressure in cases of diabetic coma that require urgent intervention. The drone design was tested using SolidWorks and FLUENT to ensure safe design in different flying conditions. The …

A Review Of Performance Assessment Of Solar-Driven Absorption Chillers Incorporated With Energy Storage Systems, A. Khalil, Mohamed Abdelgaied, May Abdelsalam

Journal of Engineering Research

Abstract- This study evaluates the performance of a solar

collector absorption chiller combined with Phase Change Material (PCM) energy storage devices. Solar energy is used for energy-efficient cooling, and PCM storage improves

efficiency by capturing surplus thermal energy during

abundant solar radiation and releasing it when insufficient. The research assesses performance measures like

COP, energy storage capacity, and overall system efficiency.

Assessment Of Physical And Ergonomic Hazards And Their Compliance With National Standards. A Case Study, Amira Abdelraheem

Journal of Engineering Research

Occupational hazards are a significant concern in high-risk environments such as petroleum operating companies, where workers are exposed to various risks, including chemical, physical, mechanical, ergonomic, and psychosocial factors. Effective management of these hazards is essential to protect the health and safety of employees and maintain operational efficiency. This study aims to assess physical hazards including a-weighted equivalent noise levels, heat stress, Lightning and Ergonomics in a petroleum operating company in Egypt, and to check its conformity with national standards. Physical environment (Noise, heat stress and illumination) in different worksites were assessed using calibrated direct reading instruments to evaluate the …

An Ultra-Low-Power 0.8 V, 60 Nw Temperature Sensor For Battery-Less Wireless Sensor Networks, Fnu Naveed, Jeff Dix

Electrical Engineering and Computer Science Faculty Publications and Presentations

This work presents a nano-watt digital output temperature sensor featuring a supply-insensitive, self-biased current source. Second-order temperature dependencies of the MOS diode are canceled to produce a stable reference and a linear temperature-sensitive voltage. The sensor integrates a sensing unit, voltage-controlled differential ring oscillators, and a low-power frequency-to-digital converter, utilizing a resistor-less design to minimize power and area. The delay element in the ring oscillator reduces stage count, improving noise performance and compactness. Fabricated in 65 nm CMOS, the sensor occupies 0.02 mm2 and consumes 60 nW at 25 °C and 0.8 V. Measurements show an inaccuracy of +1.5/−1.6 °C …

An Integrated Approach To Enhance The Performance Of Rainfall Forecasting By Leveraging Stacking Based Machine Learning And Deep Learning Techniques, Umamaheswari P

Theses and Dissertations

Rainfall forecasting is critical for a variety of reasons, the most important of which is the substantial impact it has on many sectors of the community and the environment. It helps farmers with planting schedules, crop choices and irrigation techniques, all of which directly impact food production and agricultural yields. Rainfall forecasting is also vital in sectors such as hydroelectric power generation, since knowledge about water availability is essential for electricity generation. Accurate rainfall forecasts play very important roles in disaster planning and flood control. They enable authorities to take precautionary measures and, where necessary, plan for the evacuation of …

A Structural Evaluation And Design Optimization Of A Tow Bar For Disabled Snowmobiles, David M. Pevic

Masters Theses

Snowmobile tow bars are devices used to rigidly connect two snowmobiles, such that a disabled snowmobile can be recovered from a remote location with a working snowmobile. These devices, however, are not widely used or readily available. An existing tow bar design was evaluated and redesigned to improve its structural capacity and performance. This evaluation provided a baseline to quantify improvement and included Finite Element Analysis (FEA), Design Failure Mode and Effect Analysis (DFMEA), and Design for Assembly analysis (DFA). A review of existing snowmobile tow bar patents was also performed. An updated design was then fabricated and similarly evaluated. …

Investigating The Structure-Property Correlations Of Pyrolyzed Phenolic Resin As A Function Of Degree Of Carbonization, Ivan Gallegos, Vikas Varshney, Josh Kemppainen, Gregory Odegard

Michigan Tech Publications

Carbon-carbon (C/C) composites are attractive materials for high-speed flights and terrestrial atmospheric reentry applications due to their insulating thermal properties, thermal resistance, and high strength-to-weight ratio. It is important to understand the evolving structure-property correlations in these materials during pyrolysis, but the extreme laboratory conditions required to produce C/C composites make it difficult to quantify the properties in situ. This work presents an atomistic modeling methodology to pyrolyze a crosslinked phenolic resin network and track the evolving thermomechanical properties of the skeletal matrix during simulated pyrolysis. First, the crosslinked resin is pyrolyzed and the resulting char yield and mass density …

Sentiment Analysis For Stock Market Prediction Using Machine Learning Techniques, Rajendiran P

Theses and Dissertations

Sentiment analysis has become one of the most important procedures to predict the stock market behaviour according to the customer reviews about a particular topic such as news, movie, event, and remarks related to the product. Due to the huge number of reviews generated from the customer, for analyzing information in an accurate manner. In order to detect general view of product, sentiment analysis technique is performed. Lately, the majority of research works is designed for Sentiment analysis by application of an organization and ranking techniques. But it suffers less exactness of the accurate classification of the customer reviews.

The …

A Survey On Food Ingredient Substitutions, Hyunwook Kim, Revathy Venkataramanan, Amit P. Sheth

Publications

Diet plays a crucial role in managing chronic conditions and overall well-being. As people become more selective about their food choices, finding recipes that meet dietary needs is important. Ingredient substitution is key to adapting recipes for dietary restrictions, allergies, and availability constraints. However, identifying suitable substitutions is challenging as it requires analyzing the flavor, functionality, and health suitability of ingredients. With the advancement of AI, researchers have explored computational approaches to address ingredient substitution. This survey paper provides a comprehensive overview of the research in this area, focusing on five key aspects: (i) datasets and data sources used to …

Turbulent Structures In Coupled Wind-Wave Flows, Cerrina Mouchref

Dissertations and Theses

The interactions between wind and waves in offshore environments are complex and have yet to be fully understood. Analyzing these interactions is motivated by an increased interest in climate modeling and the deployment of offshore construction, such as offshore wind farms. In this study, experiments are performed in a wind tunnel using particle image velocimetry (PIV) to analyze wind-wave interactions over various wave and wind speeds. The addition of the wave, a moving boundary, leads to the use of Reynolds triple decomposition in order to separate the turbulent and wave-phase coherent fluctuations. A curvilinear coordinate system was used to analyze …

State-Of-Charge Estimation Using Deep Learning For Electric Vehicles, Samer Yahya Ribhe Tahboub

LSU Master's Theses

This thesis investigates the application of deep learning models for State of Charge (SOC) estimation in Battery Management Systems (BMS) for electric vehicles (EVs), focusing on optimizing EV range, lifespan, and performance while addressing challenges like range anxiety. The study explores three deep learning architectures—Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and Gated Recurrent Unit (GRU)—each designed to capture complex temporal dependencies in battery data. The LSTM model is trained on EV battery data, including voltage, current, temperature, and SOC, providing a strong baseline for SOC estimation. The BiLSTM model enhances accuracy by processing data in both forward and backward …

Enhancing Accuracy In Predicting Continuous Values Through Regression, Ahmed Aljuboori, M. M. A. Abdulrazzq

Iraqi Journal for Computer Science and Mathematics

Enhancing the accuracy in predicting continuous values remains a significant challenge, especially when dealing with imbalanced data and choosing appropriate models. Regression techniques are widely used in data mining, and machine learning fields for this purpose. However, the traditional algorithms struggle to achieve high accuracy because of the limitations in dealing with complex data and imbalanced distribution. This study addresses these gaps by proposing a new framework that evaluates multiple regression models using the Boston House Pricing Dataset (BHD). The examined models involve simple linear, multiple linear, Polynomial, Lasso, Ridge, Random Forest, Keras and Gradient Boosting regression. The models are …

Processing, Testing, Failure Analysis, And Modeling Of Elementary Natural Fiber-Reinforced Composites, Shuo Sun

All ETDs from UAB

Natural fiber reinforced composites have garnered significant interest as potential substitutes for conventional materials because of their eco-friendly attributes and favorable physical and mechanical properties. Typically, natural fibers undergo chemical treatments to enhance their compatibility with the polymer matrix prior to composite production. However, these treatments primarily affect the surface of the fiber bundles and have a limited impact on the inner elementary fibers within the bundle. This research work introduced a mechanical treatment method for hemp fiber by using an elevated temperature aqueous condition and mechanical force, which broke down the technical fiber bundles into elementary fibers and created …

Enabling Technologies For Web 3.0: A Comprehensive Survey, Md Arif Hassan, Mohammad Behdad Jamshidi, Bui Duc Manh, Nam H Chu, Chi-Hieu Nguyen, Nguyen Quang Hieu, Cong T Nguyen, Dinh Thai Hoang, Diep N Nguyen, Nguyen Van Huynh, Mohammad Abu Alsheikh, Eryk Dutkiewicz

Staff Scholarship - Australia & Dubai

Web 3.0 represents the next stage of Internet evolution, aiming to empower users with increased autonomy, efficiency, quality, security, and privacy. This evolution has the potential to democratize content access by leveraging advancements in cutting-edge enabling technologies. In this paper, we conduct an in-depth survey of enabling technologies in the context of Web 3.0, such as blockchain, semantic web, 3D interactive web, Metaverse, Virtual Reality (VR) and Augmented Reality (AR), Internet of Things (IoT) technology, and their roles in shaping Web 3.0. We commence by providing a comprehensive background of Web 3.0, including its concept, basic architecture, potential applications …

Mitigating The Impacts Of Future Climate Change On Urban Infrastructure In Alabama Through Updating Precipitation Intensity-Duration-Frequency (Idf) Curves, Kofi Ntow Opare

All ETDs from UAB

Climate change is set to profoundly impact urban infrastructure, causing increased flooding and storm damage, necessitating the reevaluation and adaptation of design methodologies to account for increasing precipitation extremes. This dissertation aims to enhance the resilience of urban infrastructure in Alabama by updating Precipitation Intensity-Duration-Frequency (IDF) curves, which are crucial for designing stormwater management systems, drainage networks, and flood control structures. Traditional IDF curves, derived from historical rainfall data, operate under the assumption of stationarity, an assumption increasingly invalidated by climate change. This research employs the Generalized Extreme Value (GEV) distribution and compares the efficacy of L-moments and Generalized Maximum …

Origami Without Paper: Surrogate Folds For Origami-Inspired Mechanisms, Ivyann Oveson Running

Theses and Dissertations

Origami is a useful tool for generating novel spatial mechanisms that can address needs in a variety of fields. However, replicating paper folding in other materials requires surrogate folds---some way to approximate folding in otherwise rigid materials. This work presents a collection of potential surrogate fold designs suitable for use in origami-inspired applications. The designs are sorted into families and rated against several design characteristics of interest to engineers and designers to create the Surrogate Fold Catalog. The catalog is formatted to be searchable and filterable based on manufacturability, kinematic motion, and additional utility. Using this collection of surrogate folds …

Interfaces Gráficas Y Género: Impacto En Discursos Normativos, Marco V. Ferruzca, Paulo C. Portilla, Juan Villegas, Román A. Mora

GDI. Revista de investigación de Género, Diseño e Innovación

El diseño de interfaces gráficas de usuario generalmente considera una reflexión sobre propiedades vinculadas a aspectos visuales como el color, las imágenes, la tipografía, etc. Asimismo, algunos aspectos del usuario se ponen también a consideración como su edad, cultura, experiencia, género, entre otros. Sin embargo, la noción de género sólo se reduce a un binarismo para definir si la interfaz gráfica encaja en la categoría mujer u hombre. Muy pocos investigadores se han detenido a profundizar en el discurso heteronormativo que puede desprenderse de la interpretación de significado de una interfaz gráfica como consecuencia de la interrelación entre usuariogénerocomputadora. El …

Perspectiva De Género En La Animación: Desafíos Y Logros En La Industria, Carmen Pérez González, Luis Mayo Vega

GDI. Revista de investigación de Género, Diseño e Innovación

La perspectiva de género en la industria de la animación se centra en los desafíos y logros que enfrentan las mujeres en este campo. Se identifican los principales obstáculos que afrontan las directoras de animación, evidenciando un aumento en la representación femenina a lo largo de los años, aunque aún lejos de alcanzar la igualdad. Se destaca la importancia de incluir voces femeninas en la investigación académica para promover una representación equitativa. La metodología analiza informes recientes que evalúan la participación de mujeres en la industria y se recopilan recomendaciones de directoras destacadas para fomentar la equidad de género. Los …

Optimizing An Integrated Hybrid Energy System With Hydrogen-Based Storage To Develop An Off-Grid Green Community For Sustainable Development In Bangladesh, Asif Jaman, Rafid Al Mahmud, Barun K. Das, Mohammad Shahed H.K. Tushar

Research outputs 2022 to 2026

An integrated renewable system that utilizes solid waste-based biogas is important steps towards the sustainable energy solutions to rural off-grid communities in Bangladesh. In this study, a hybrid energy system consisting of photovoltaic modules, wind turbines, biogas generators, fuel cells, and electrolyzer-hydrogen tank-based energy storage is optimized using non-dominated sorting genetic algorithm (NSGA-II). The hybrid system is optimized based on the cost of energy and human health damage as objective functions, and a fuzzy decision-making technique is employed to determine the optimal solution to the multi-objective approach. Additionally, several economic, ecological, and social indicators are also investigated while meeting a …

Infinitesimal Elements In Cartesian, Cylindrical And Spherical Coordinate Systems, Ashanthi Maxworth Phd

EM Fields With Prof. Maxworth

In this chapter we introduce you to the infinitesimal surface and volument elements in Cartesian, Cylindrical and Spherical coordinate systems. Electromagnetic fields is based on multi-variate vector calculus. The following three documents show, how the infinitesimal surface area elements are defined in Catesian, Cylindrical and Spherical coordinate systems.

Pfas In Landfill Leachate: Practical Considerations For Treatment And Characterization, Fabrizio Sabba, Christian Kassar, Teng Zeng, Synthia P. Mallick, Leon Downing, Patrick J. Mcnamara

Civil and Environmental Engineering Faculty Research and Publications

Per- and polyfluoroalkyl substances (PFAS) are widely used in consumer products and are particularly high in landfill leachate. The practice of sending leachate to wastewater treatment plants (WWTPs) is an issue for utilities that have biosolids land application limits based on PFAS concentrations. Moreover, landfills may face their own effluent limit guidelines for PFAS. The purpose of this review is to understand the most appropriate treatment technology combinations for mitigating PFAS in landfill leachate. The first objective is to understand the unique chemical characteristics of landfill leachate. The second objective is to establish the role and importance of known and …

An Attempt To Determine The Strong Tremors Causes During Longwall Mining Of Destressed Bottom Layer Of A Thick Coal Seam, Rafał Pakosz, Łukasz Wojtecki, Maciej J. Mendecki, Agnieszka Krzyżanowska

Journal of Sustainable Mining

The sequence and method of coal seam mining can significantly minimize the risk of rock bursts. The planning of exploitation in the Bielszowice part of the Ruda Hard Coal Mine involves maximizing the destress effect associated with the mining of adjacent coal seams or layers of thick coal seams. Longwall mining of destressed coal seams is characterized by much lower seismic activity; however, even during such mining, high-energy tremors may occur. This article analyzes the seismic activity accompanying the mining of longwall panels in the bottom and top layers of thick seam No. 510 and seam No. 507 in the …

A Continuum Mechanical Model Of The Brain During Closed Head Injury, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

Exactly how traumatic axonal injury happens as a result of brief, intense acceleration of the head remains a mystery. The same can be said about traumatic microbleeds observed in MRI scans of people suffering concussions. This paper explores the mechanism of injury in terms of continuum biomechanics. A full-sized viscoelastic model of the human brain is developed that is subjected to impact with the rigid skull after crossing the subarachnoid space in response to brief, intense whole head acceleration, as might occur in falls or in contact sports. The brain is considered a compressible viscoelastic body of approximately uniform density, …

Enhancing Multi-Robot Slam: Centralized Lidar-Based Loop Closure Detection Approach, Basma Ahmed Jalil, Ibraheem Kasim Ibraheem

Iraqi Journal for Computer Science and Mathematics

The loop closure detection is crucial for global mapping and route correction in multi-robot simultaneous localization and mapping (SLAM). However, including loop closure detection algorithms in MR-SLAM increases the computational complexity and the required resources on the robot board and at the base station. In this paper, An Enhanced Multi-Robot Fast Localization Odometry and Mapping (EMR-FLOAM) to deal with computation complexity issue. The EMR-FLOAM algorithm addresses computational complexity and resource requirements by utilizing a two-stage non-iterative distortion compensation technique, resulting in optimized code and accelerated localization and map construction processes. The simulation of the proposed work has been tested on …

Maxwell's Second Equation: The Gauss's Law For Magnetostatic Fields, Ashanthi Maxworth Phd

EM Fields With Prof. Maxworth

Gauss's Law for magnetostatic fields says that the total magnetic flux through a closed surface is equal to zero. In otherwords, there are no magnetic monopoles. This law has been applied in multiple mathematical derivations. Watch the short video where Dr. Maxworth explains this law. In the worksheet you can observe the magnetic flux generated due to a current through a straight coaxial cable. Note that the magnetic flux always exisit as close loops making the total net flux through a closed surface zero and the direction of the magnetic field can be derived by the right hand rule, i.e …