Digital Commons Network^™

Three-Rigid-Link Manipulator Robot Inverse Dynamic Model Using Ann Based On Pid Controller, M.A. El-Gohary, M.S. Elksas, A. E. Banna, S.G. Ahmad

Journal of Engineering Research

This work proposes an inverse dynamics model of a three-rigid -link manipulator robot employing a PID controller based on artificial neural networks. In order to attain precise position, neural network control algorithms are designed to handle nonlinear issues including robot manipulator control and uncertainty compensation. An artificial neural network with two layers that uses feedforward training is trained using the back propagation technique. By just fusing the ANN with other traditional control techniques, the suggested controller gives the network more information on the composition and dynamics of the system. The PID controller generates data that is used to train neural …

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 …

Lessons In Low-Tech: A Handbook For Sustainable Education, Ceri Almrott, Loann Astorino, Sébastien Bette, Benoit Delinchant, Philippe Fortemps, Ulysse Girard, Paul Hendrick, Sacha Hodencq, Fabian Lecron, Julie Lhuissier, Kévin Loesle, Luis Miguel Lopez Santiago, Santiago Perez Rodriguez, Gauthier Renard, Tatiana Reyes, Virginie Vandenbulcke, John Walsh

Other resources

LT4SUSTAIN, an Erasmus+ funded transnational project, is at the forefront of responding to the increasing awareness of environmental and climate challenges. This awareness, particularly among youth, has led to a demand for social justice. With the coordinated work among six institutions, ranging from higher education institutions to private companies and associations, LT4SUSTAIN aims to raise awareness of Lowtech across society.

LT4SUSTAIN is pioneering a unique approach to technology design. By developing “hackathons” and other “hands-on” events, we are engaging students and industry in a way that improves inclusiveness. Our objective is to equip individuals with the skills to embark on …

Integrating Medical Plastic Waste Pyrolysis And Circular Economy For Environmental Sustainability, Attia Attia, Mohamed Bassyouni Prof., Reem Nasser Eng., Moataz El-Bagoury Eng., Islam Shaker Eng., Yasser Elhenawy Prof., Dina Aboelela Dr.

Biochemical Engineering

A critical assessment of pyrolysis technologies and reactor designs was discussed, highlighting various reactor configurations. This study explored the influence of catalysts, temperature, heating rate, and residence time on the pyrolysis process, and addressed their effects on product distribution and composition. Safety considerations and strategies for mitigating the potential environmental impacts of pyrolysis were presented. Comparative analyses of the environmental impacts of traditional waste disposal methods versus pyrolysis-based approaches provided insights into the potential reduction of greenhouse gas emissions and other pollutants. The circular economy approach was explored in the context of medical plastic waste pyrolysis. The potential for closing …

A Computational Fluid Dynamics Approach To Analyze The Virtual Impactor In Pneumatic Aerosol Jet Printing, Akashita Sareen

Theses, Dissertations and Capstones

Aerosol jet printing (AJP) is a 3D printing, advanced manufacturing process that generates an aerosol mist appropriate for fine printing small, low-volume electronic parts. The pneumatic aerosol jet printing technology’s virtual impactor is the focus of this study. In this technology, high velocity nitrogen gas aerosolizes various inks in the atomizer. The aerosolized stream of ink is then transported to a virtual impactor (VI) to become dense and concentrated as it begins to enter the deposition head for high precision electronics printing. AJP faces challenges in large-scale adoption due to challenges related to overspray, instability, ink clogging etc. There is …

Foundational Robotics, Akshit Lunia, Ananya Nagabhushana Rao, Yue Wang

Robotics

This textbook is a product of Co-DREAM OER (Collaborative Development of Robotics, Mechatronics, and Advanced Manufacturing Open Educational Resources), a US Department of Education-funded initiative to develop Open Educational Resource textbooks on robotics, mechatronics, and advanced manufacturing processes. It has been created by a diverse team of scholars and graduate students from across the country and is intended for higher-level robotics courses offered by 4-year undergraduate programs.

Multiobjective Optimal Design Of Hierarchical Control Architectures For Quadcopter Systems: Linear And Hybrid Approaches, Xinhuang Wu

Theses, Dissertations and Capstones

This thesis investigates the design of many-objective optimal controllers for quadcopter unmanned aerial vehicles (UAVs), focusing on both linear and hybrid control structures. In Chapter 2, a multi-input–multi-output (MIMO) optimal control system is developed for a six-degree-of-freedom UAV actuated by four brushless DC motors. The UAV dynamics are first derived and linearized around an operating point, and then organized into a three-loop nested control structure. The outer loop computes the roll and pitch angles required to maneuver the vehicle in the global X and Y directions, the middle loop regulates attitude and altitude, and the inner loop controls the angular …

Stress Analysis Of Anisotropic Inclusion Problems Using Complex Variables, Liming Chen

Mechanical and Aerospace Engineering Dissertations - Archive

This research presents an analytical framework for determining stress fields in an elastic medium containing a circular anisotropic inclusion embedded in an infinitely extended isotropic matrix subjected to far-field uniform stresses. Stress distributions within both the inclusion and the matrix are described using classical stress functions, widely employed in two-dimensional elasticity theory.

To manage the complexity of the mathematical derivations, symbolic computation software (Mathematica) is used to streamline the analysis and obtain closed-form solutions. This approach overcomes traditional computational barriers that have limited the practical application of complex variable methods (CVM) in elasticity.

The methodology builds upon the foundational work …

Multi-Objective Design Optimization Of Hypoid Geared Rotor Systems, Xinqi Wei

Mechanical and Aerospace Engineering Dissertations - Archive

Hypoid gears represent one of the most generalized and complex forms of gearing, widely used for power transmission of skew shafts in vehicles, aviation, and marine transmission applications. Optimizing their performance remains challenging due to the complex tooth surface and contact behavior. Specifically, the design parameters of the tooth surface are multi-scale, interdependent, and subject to strong constraints, leading to strong nonlinearity and an ill-conditioned Jacobian matrix in the parameter identification model. Moreover, feasible and insensitive contact conditions are difficult to constrain due to the inherent complexity of local conjugate contact between the meshing surfaces. These challenges significantly increase optimization …

Deep Neural Network Models For Heatsink Performance Prediction And Optimization In Single Phase Immersion Cooling: Framework For Future Design Tools And Digital Twin Integration, Braxton J. Smith

Mechanical and Aerospace Engineering Theses - Archive

The rapidly rising computational power of modern computing components combined with the advanced packaging techniques being implemented has resulted in exponentially increasing thermal design powers (TDP) from CPUs and GPUs. Traditional air-cooling methods are approaching their effective cooling limits for many of these components, requiring lower supply air temperatures, higher supply air flowrates, and much larger heatsinks to remain feasible. Transitioning from air-cooling to single-phase immersion cooling offers numerous benefits in thermal performance, data-center size reduction, and energy efficiency. To leverage the merits of immersion cooling, the performance of a given heatsink must be predicted and optimized for best performance …

Study On Motion Prediction Analysis Of Large Vessels Entering Kaohsiung Port Second Harbor, Li-Heng Cheng, Hsing-Yu Wang

Journal of Marine Science and Technology–Taiwan

Pilotage is a primary service offered by ports, ensuring the safe passage of entering and exiting vessels. This study applied motion prediction analysis to large vessels navigating the constrained waterways of Kaohsiung Port’s second harbor. To address the needs of pilots and port operators, a simplified planar motion equation was developed that incorporated speed over ground and rate of turn (ROT) as primary variables. The model relied on inputs of limited navigational data, enabling pilots to predict changes in heading and position over time and determine the conditions for safe harbor entry. Vessel paths and turning angles were analyzed to …

Scratching Behavior Of Copper-Niobium Nanolaminates, Matthew C. Peterson

Graduate Research Theses & Dissertations

Metal nanolaminates are known in material science for their unique mechanical properties and high strength due to their interface behavior. Cu/Nb nanolaminates specifically are studied for their uses in electronics due to their good conductivity and superior tensile strength compared to copper conductors, as well as their radiation resistance in radioactive environments. Currently, most molecular dynamics (MD) simulations of Cu/Nb simulations are axially loaded. This work attempts to characterize the scratching behavior of Cu/Nb nanolaminates with varying indenter size, temperature, speed, and layer thickness. The coefficient of friction (CoF), friction force, normal force, and material removal were then compared. A …

Development Of A Design Tool For Tow-Steered Composite Structures With Machine Learning-Assisted Modeling, Bangde Liu

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Fiber-reinforced composites (FRCs) are widely used in aerospace, automotive, and other engineering applications due to their lightweight characteristics and superior mechanical properties. Traditional FRCs employ a fixed fiber orientation in each layer, and while different layup sequences can tailor performance, the mechanical properties remain spatially uniform. Tow-steered composites, which enable fibers to follow curvilinear paths, offer the potential for spatially varying stiffness and strength, improving structural performance.

This dissertation addresses key challenges in modeling and designing tow-steered composite structures, including the lack of commercial design tools, the high computational cost of design optimization, and the need to efficiently evaluate manufacturing …

Fault Tree Analysis For Robust Design, Jonathan Degroff, Gene Jean-Win Hou

Mechanical & Aerospace Engineering Faculty Publications

The objective of this research is to incorporate system failure into a robust design formation and solution process. The system failure referred to here will be built using fault tree analysis (FTA), which will take all lower-level failure events into consideration. Two examples are investigated here. One will directly treat the probabilities of the basis events as design variables, The other will be formulated in five different models: deterministic design optimization, the reliability index-based, the “and” gate-based, the “or” gate-based and the “inhibit” gate-based robust design. Their corresponding optimization solutions will be compared with each other. The post-optimality analysis of …

Polarized Positrons At Ce⁺Baf, A. Ushakov, J. Benesch, M. Bruker, L. Cardman, J. Conway, S. Covrig Dusa, P. Degtiarenko, Y. Enomoto, S. Gessner, P. Ghoshal, S. Gopinath, J. Grames, C. Gulliford, S. Habet, G. Hays, C. Hernández-García, A. Hofler, R. Kazimi, M. Kostin, V. O. Kostroun, F. Lin, V. Lizárraga-Rubio, K. Mahler, Y. Morikawa, S. Nagaitsev, S. Ogur, G. Palacios-Serrano, N. Raut, B. Rimmer, Y. Roblin, A. Seryi, K. Smolenski, M. Stutzman, R. Suleiman, A. Sy, N. Taylor, D. Turner, A. Ushakov, C. Valerio-Lizarraga, E. Voutier, S. Wang, Y. Zhang

Mechanical & Aerospace Engineering Faculty Publications

A baseline concept for a continuous wave (CW) polarized positron injector was developed for the Continuous Electron Beam Accelerator Facility (CEBAF) at Jefferson Lab [1]. This concept is based on positron beam generation by a high current polarized electron beam (1 mA, 120 MeV, >85% polarization) irradiating a rotating water-cooled tungsten target or liquid metal target. The update on the development of the Ce⁺BAF injector concept including the polarized electron source, the development of high power targets, simulations of positron capture, the design of the transport line from the positron injector to the CEBAF North Linac and the planned experiment …

Deep Learning Approaches For Predicting Strain Energy In Heterogeneous Materials, Junesh Gautam

Electronic Theses and Dissertations

Finite Element Analysis (FEA) faces computational challenges when analyzing nonlinear and heterogeneous materials. Utilizing the Mechanical MNIST dataset, comprising 60,000 simulated samples of 28x28 pixel domains under large deformation, the study evaluates classical regression methods (Linear Regression, Random Forest, Gradient Boosting) and advanced deep learning architectures (Convolutional Neural Networks (CNN) and Residual Networks (ResNet)). CNN models achieved superior performance, with a Mean Squared Error (MSE) of 4.21 and an R2 value of approximately 0.982, outperforming classical regression models and slightly surpassing ResNet architectures. These deep learning methods automatically learn spatial relationships from pixel-based representations, eliminating the need for manual feature …

The Design Of A Bioinspired Impact Mitigation System Towards The Prevention Of Brain Injuries, Bryce H. Reimer

Master’s Theses

Traumatic brain injuries (TBIs), including concussions and chronic traumatic encephalopathy (CTE), remain a major concern across contact sports, military operations, and transportation. Despite advancements in protective equipment, current strategies often fall short in preventing the mechanical conditions that contribute to long-term neurological damage. This thesis presents the design and validation of a bioinspired impact mitigation system modeled after bighorn sheep horn structures, which have evolved to endure high-energy collisions without apparent brain injury.

Using biomimetic principles, the research integrates experimental and computational methods to evaluate how horn-like geometries reduce impact-induced accelerations. A custom drop tower was built to test dynamic …

Nebraska Summary #1293: Fendt 618 Vario, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Transient Thermal Finite Element Simulation For Process Modeling In Wire Arc Additive Manufacturing, Satya Sai Kumar Pilli

Dissertations, Master's Theses and Master's Reports

This thesis presents the development of a transient thermal framework for Wire Arc Additive Manufacturing (WAAM) created using ANSYS Workbench. This study aims to understand the inherent properties and thermal behavior of WAAM by using the Finite Element (FE) simulation technique to reduce the need for experiments. Specifically, the transient thermal WAAM simulation framework uses the heat source Goldak model to understand the thermal behavior for a given voltage, initial temperature, and travel speed during the process to predict process temperature. The outcomes of this thesis aim to significantly decrease material waste and repetitive experiments and accelerate production process design …

Estimating Pedestrian Crossing Times At Scramble Crossings Via Machine Learning And Agent-Based Modeling, Sho Takami

CURE Proceedings

Scramble crosswalks differ from conventional crosswalks in their ability for pedestrians to cross diagonally. This research compares the average crossing times and investigates the walking behaviors that pedestrians adopt to produce the speediest times in the two crosswalk configurations. Identification of the most efficient set of walking behaviors is done through an agent-based model, whereas producing polynomials relating crossing times to the most prominent walking behaviors is done through regression algorithms in machine learning. With the combination of these two approaches, it is revealed that pedestrians must adopt a relaxed walking style to make each crosswalk configuration efficient. Additionally, between …

Ai-Powered Image-Based Assessment Of Pressure Injuries Using You Only Look Once (Yolo) Version 8 Models, Mehedi Hasan Tusar, Fateme Fayyazbakhsh, Niloofar Zendehdel, Eduard Mochalin, Igor Melnychuk, Lisa Gould, Ming C. Leu

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Objective: The primary objective of this study is to enhance the detection and staging of pressure injuries using machine learning capabilities for precise image analysis. This study explores the application of the You Only Look Once version 8 (YOLOv8) deep learning model for pressure injury staging. Approach: We prepared a high-quality, publicly available dataset to evaluate different variants of YOLOv8 (YOLOv8n, YOLOv8s, YOLOv8m, YOLOv8l, and YOLOv8x) and five optimizers (Adam, AdamW, NAdam, RAdam, and stochastic gradient descent) to determine the most effective configuration. We followed a simulation-based research approach, which is an extension of the Consolidated Standards of Reporting Trials …

Hands-Free Uav Control: Real-Time Eye Movement Detection Using Eog And Lstm Networks, Niloofar Zendehdel, Khosro Ghorbani Zadeh, Haodong Chen, Yun Seong Song, Ming C. Leu

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Industry 4.0 has created a growing need for effective human-robot collaboration (HRC). As robots and humans work more closely together, efficient communication becomes essential for coordinating their actions seamlessly. While speech may seem like the obvious choice for communication, noisy factory environments can render it impractical. Additionally, workers often have their hands occupied with assembly tasks, making hand-controlled interfaces less practical for controlling robots. To address these challenges, this paper presents a novel, hands-free method for robot control using electrooculography (EOG) signals–specifically, eye movements and blinks–with unmanned aerial vehicles (UAVs) used as the demonstration platform. We developed a real-time system …

Conference Report Of Wmu Maritime Affairs Conference 2025 : Transforming A Maritime Future : Digitalization And Decarbonization, World Maritime University

Conference Papers

No abstract provided.

A Biphasic Microstructural Model Of Skeletal Muscle To Study Structure-Function Mechanisms Under Multiaxial Tensile And Compressive Conditions, Benjamin Wheatley, Minhaj U. Bhuiyan, Sabrina S. Lorza, Kevin M. Moerman, Pierre-Yves Rohan

Faculty Journal Articles

No abstract provided.

Outgassing Measurements Of Bare And Magnetite-Coated Low-Carbon Steel Vacuum Chambers, Aiman H. Al-Allaq, Md Abdullah Mamun, Matt Poelker, Abdelmageed Elmustafa

Mechanical & Aerospace Engineering Faculty Publications

The outgassing properties of bare and magnetite-coated AISI 1020 low-carbon steel vacuum chambers were evaluated to establish material selection criteria for extreme high vacuum applications, namely, to explore the possibility of using these materials to build next-generation spin-polarized photoelectron guns. Water outgassing measurements using the throughput method revealed that the magnetite-coated chamber exhibited five times lower outgassing at room temperature prior to baking, but this advantage disappears after 80 °C baking. Hydrogen outgassing measurements demonstrated significant differences after intensive heat treatment: the bare low-carbon steel vacuum chamber achieved a specific outgassing rate of 9.6 × 10⁻¹⁶ Torr L s …