Mechanical Engineering Commons^™

Gas-Generating Reactive Materials: Design, Evaluation And Effect Of Morphology On Their Ignition And Combustion, Purvam Mehulkumar Gandhi

Dissertations

This work investigates optimizing gas-generating reactive materials, focusing on particle morphology's effect on ignition and combustion behavior. Metal-based gas-generating energetic materials (EMs) are promising alternatives to replace traditional CHNO compounds. Design of advanced metal-based EMs requires consistent ways of evaluating how their characteristics affect their ignition and combustion. Many relevant evaluation approaches exist; however, the results may be difficult to compare directly across different studies. Commonly, experimentalists ignite metal-based EMs in enclosed chambers and report pressures, P. However, direct comparison of these pressures is hindered by variations in the chamber volume, V, and the EM mass, m. To standardize the …

Assessing Potential Energy Sustainability Of Micro-Hydropower System Through A Sustainable Indicator Approach, Icmi Alif Safitri, Muhammad Sulaiman, Rachmawan Budiarto

Journal of Environmental Science and Sustainable Development

The development of micro-scale renewable energy power generation systems, such as micro-hydropower (MHP), often needs more consideration for sustainability during the planning stages. Many small-scale renewable energy systems have shorter-than-expected lifespans, jeopardizing Indonesia's Net Zero Emission Target for 2060 or earlier. Despite this, only some studies have examined the long-term viability of installed renewable energy generation projects, particularly MHP plants not managed by state-owned companies or PLN (Pembangkit Listrik Negara). The primary objectives of this research are to evaluate the feasibility of retrofitting and assess the potential sustainability of a decommissioned MHP in Banjarnegara, Central Java. A cash flow analysis …

Developing A Roadmap For Green Port In Timor-Leste, Emanuel Da Silva Maia

World Maritime University Dissertations

No abstract provided.

Exploration Of The Iterative Design Process: Integrating A Requirements Matrix And Hazard Analysis Toolsexploration Of The Iterative Design Process: Integrating A Requirements Matrix And Hazard Analysis Tools, Blaine Edlefsen

Theses

The iterative design process is applied to multiple industry sectors from software development to product manufacturing. The cyclical approach integrates the steps of design, prototyping, and testing toward the realization of a user's specified needs. The use of a requirements traceability matrix and hazard analysis documentation that supports the definition of the iterative design process is explored. These design project management tools are applied to a case study involving workholding design for a Wire Electrical Discharge Machining (Wire-EDM) manufacturing process. This industry-relevant case study is conducted in collaboration with New Jersey Precision Technologies, Incorporated (NJPT). The design requirements involve both …

Effect Of Alkyd And Polyester Resin Compositions On Corrosion Resistance, Blistering, And Adhesion In Utilization Of Oily Sludge As Anti-Rust Coating Material, Gerets Land Kakalang, Yohanes David Kristianto, Johny Wahyuadi Mudaryoto

Journal of Materials Exploration and Findings

Oil sludge is a waste derived from upstream and downstream activities of the oil and gas industry which is estimated at 10,000 tonnes generated from all PERTAMINA downstream activities spread across various fields, processing units and depots throughout Indonesia. Oil sludge has the same characteristics as asphalt, where asphalt in previous studies can be used as an anti-rust coating, so that the handling of oily sludge can be topped up by reusing and having its own added value. The purpose of this research is to utilise waste oily sludge as an alternative anti-rust coating material and compare alkyd resin and …

A Comparative Study Of Conventional And Statistically Active Corrosion Methods For Corrosion Growth Assessment Of A 24-Inch Gas Pipeline, Rudi Rinaldi, Jaka Fajar Fatriansyah

Journal of Materials Exploration and Findings

Component failures in oil and gas pipelines can have fatal consequences, leading to operational downtimes and environmental damage. Knowledge of the corrosion growth rate is fundamental to pipeline integrity management, as it is essential for risk assessment and decisions related to asset management. This article aimed to compare two approaches for the corrosion growth estimation of the 24-inch offshore gas pipeline: the conventional method versus the Statistically Active Corrosion (SAC) method. This article is based on the in-line inspection (ILI) results of two consecutive assessments from 2020 to 2023 of the entire 73 km of the pipeline. The results show …

Liquid-Cooled Thermoelectric Modules: Potential For Efficient Water Harvesting Through Air Condensation, Bowo Yuli Prasetyo, Aindri Yuliane, Parisya Premiera Rosulindo, Fujen Wang

Makara Journal of Technology

Water is one of the essential natural resources for the sustaining life of all beings on this planet. In general, groundwater is used to meet daily needs, although the availability of this water source becomes a major concern, particularly in some areas with limited access to it. Air condensation is a solution for providing water in such areas. This study aims to explore the potential of utilizing the thermoelectric technology as an alternative solution for water provision. An experiment is conducted using a system consisting of single liquid-cooled thermoelectric cooling devices/modules (TECs). Three types/variants of TECs with different cooling capacities …

Smart Materials For Noise And Vibration Damping In High-Speed Rail Systems: A Comparative Analysis, Hyginus Chidiebere Onyekachi Unegbu, Danjuma Saleh Yawas, Bashar Dan-Asabe, Abdulmumin Akoredeley Alabi

Makara Journal of Technology

Effective noise and vibration control remains a critical challenge in high-speed rail systems, directly influencing passenger comfort and the longevity of infrastructure. This study evaluated four advanced materials—piezoelectric materials, shape memory alloys (SMAs), magnetorheological (MR) fluids, and damping composites—focusing on their potential for mitigating noise and vibration in high-speed rail applications. A combination of experimental and simulation-based analyses was employed to assess these materials based on their noise reduction coefficient, vibration transmissibility ratio, thermal stability, and durability under varying environmental conditions. The findings revealed that damping composites and SMAs demonstrated superior performance, offering enhanced noise attenuation and vibration control compared …

Impact Of Compaction Process On The Carbon Epoxy Composite Under Varied Environmental Conditions, Maryam Al Kuwaiti, Amir Hussain Idrisi, Asima Zahoor, Mostafa S. Elsayed, Dinu Thomas Thekkuden, Abdel-Hamid I. Mourad

Michigan Tech Publications

Fibre-reinforced polymeric composites utilized in aerospace settings, experience varying environmental conditions throughout their operational lifespan. The major factors that can have adverse effects on their long-term performance are water and temperature. The present study investigates how the determinants such as water and temperature impact the structural integrity of plain weave woven carbon/epoxy laminated composites and further categorizing them into compacted and non-compacted groups. The compacted group involves in-process compactions during composite lay-up and the use of bleeders/breathers around the laminate, whereas the non-compacted group lacks these procedures. Specimens comprising twelve plies are created and submerged in water heating chambers set …

Nano-Second Pulsed Laser Ablation Of Inconel 718 And Mmpcd For Simultaneous Optimal Ablation Rate And Surface Quality, Ahmed Elkaseer, Islam Abdelgaliel, Jon Lambarri, Iban Quintana, Steffen Scholz, Mohamed Aly

Mechanical Engineering

This study investigates the ablation performance of Inconel 718, a nickel-based superalloy, and metalmatrix polycrystalline diamond (MMPCD), a super composite, using a nano-second (ns) pulsed laseracross a range of ablation conditions. Single trenches varying in energy fluence and scanning speedswere created, analyzing the experimental responses in terms of ablation rate and surface roughness.Using regression techniques, models were developed to understand these relationships. Four multi-objective optimization algorithms, weighted value grey wolf optimizer (WVGWO), multi-objectivePareto search (MOPS), multi-objective genetic algorithm (MOGA), and multi-objective sunfloweroptimization (MOSFO), were employed to optimize these models. Key findings include MMPCDachieving the highest ablation rates at maximum fluence …

Application Of Satellite Interferometry To Tailings Damages To Determine Their Stability, Mukhlisa Khasanovna Rakhimova

Technical science and innovation

In our country and abroad, the construction of special alluvial hydraulic structures - tailings storage facilities - is being carried out on a large scale for storing waste from the mineral enrichment process, the operation of which requires ensuring and observing strict technological control, failure of which leads to serious accidents and even disasters. Tailings dams play a critical role in the mining and metallurgy industry by providing safe storage of production waste. However, their stability and safety are a constant concern. Satellite interferometry (InSAR) is an innovative technology that can effectively monitor deformations and changes in the condition of …

Energy-Efficient Technologies For Drying Mulberry Silkworm Cocoons Using Infrared Radiation, Doston Ishmukhammat Ugli Samandarov

Technical science and innovation

The article presents the results of theoretical and experimental studies on drying of mulberry silkworm cocoons. Based on the analysis of drying efficiency and silk quality, the use of infrared radiation (IR) at a temperature of 70 °C was found to be optimal. The experimental data were tested on six mathematical models, among which the Midilli model most accurately described the drying process. The effective moisture diffusion coefficient was found to vary in the range of 1.847×10^-⁹-4.339×10^-⁹ m²/s, and the drying rate was found to be 0.32-0.79 kg of water/hour. IR radiation promotes accelerated evaporation of …

Enhancing Dynamic Impact Mechanical Properties Of Ultra-High-Performance Concrete With Steel Fiber Reinforcement, Oybek Valijonovich Tuyboyov, Sultonmurod Bekpulatovich Normatov

Technical science and innovation

This study investigates the dynamic impact mechanical properties of Ultra-High-Performance Concrete (UHPC) with high-content and directional reinforced steel fiber. The research explores the influence of directional distributed steel fiber on the dynamic impact properties of UHPC specimens prepared with varying fiber contents. Through experimental analysis using the split-Hopkinson pressure bar (SHPB) method, stress-strain curves, stress peaks, dynamic increase factor (DIF), and ductile energy absorption properties of the specimens at different strain rates were obtained. The results demonstrate that oriented steel fiber significantly enhances the dynamic properties of UHPC, with notable improvements in peak strain, peak stress, and energy absorption capacity. …

Energy Saving Technology For Drying Garlic (Allium Sativum), Jasur Esirgapovich Safarov, Shakhnoza Abduvaxitovna Sultanova, А M. Mirkomilov

Technical science and innovation

Food drying is a widely used preservation method aimed at reducing water content to extend shelf life, decrease weight, and enhance storage efficiency. This process, particularly in garlic, involves rapid initial moisture loss followed by a slower phase due to the increasing difficulty of extracting residual water. Drying methods include natural solar drying and advanced mechanical techniques such as hot air and vacuum drying, each influencing product quality, drying efficiency, and economic feasibility. Dehydrated garlic exhibits specific sensory, physico-chemical, and microbiological characteristics, making it suitable for various applications, including powder production. Advanced drying equipment optimizes air volume, temperature, and material …

Development Of The Principles Of Forming A Database For Geoinformation Mapping Of Tourism (As An Example Of Bostanlyk District Of Tashkent Region), Lola Xoji-Akbarovna Gulyamova, Risolat Raximjon Qizi Nizomova

Technical science and innovation

When creating tourist assessment maps for the purpose of tourist mapping, special attention is paid to determining the criteria for the formation of a database. To assess tourism opportunities in terms of natural conditions, ecology and socio-economic factors, data collection, their characteristics and requirements for them were studied. In order to improve the quality of sources of tourist assessment maps, parables of working with the internet and real-time removable data, creating a map based on social network data were considered. Proposals were made to create, manage and maintain a big data base. The ArcGIS program analyzed the possibilities of describing …

Bаsing Thе Sресifiс Сhаrасtеristiсs Оf Sаlinе Sоils Оn Thе Bаsis Оf Buildings Аnd Struсturеs In Thе Соnditiоns Оf Uzbеkistаn (Аs Аn Еxаmрlе Оf Thе Mirzасhоl Рlаins), Аbdubaki Djalilovich Kауumоv, Murad Kаmbаrоv, Olmos Zafarov, Zukhriddin Muradov, Islom Ilhom Ugli Ro‘Ziyev

Technical science and innovation

This article comprehensively examines the physical-mechanical and chemical properties of saline soils and their changes under the influence of moisture, as well as the impact of these changes on the foundations of buildings and structures. The study analyzes the variation of salinity levels over time due to prolonged water exposure and its effects on the stability and safety of structures, highlighting critical issues observed in regions of our country where saline soils are prevalent. Based on engineering-geological and hydrogeological research, solutions to minimize the consequences of salinity, determine soil deformation and strength characteristics, and ensure the safety of structures are …

Qualitative Analysis Of The Circuits Of Autonomous Inverters With Shut-Off Valves, Shukhrat Badreddinovich Umarov

Technical science and innovation

The article presents the results of a qualitative analysis of circuits of autonomous current and voltage inverters with cut-off valves; the influence of the charge value of the switching capacitor in parallel and series equivalent circuits on the restoration of the switching properties of the thyristors of the inverter power circuit is studied. It is shown that due to the energy periodically accumulated in the inductive elements of the load, the voltage on the switching capacitor in the cut-off state is greater than in a conventional parallel autonomous current inverter. This circumstance ensures an increase in the switching stability of …

On Resource Testing Of Straight-Bevel Gears In Drive Mechanisms Of Cotton Machines, Shoraxmat Asqarovich Shaabidov, Umid Mamazokir Ugli Mamasobirov, Azizbek G‘Ulom O‘G‘Li Xusanbayev

Technical science and innovation

This article is dedicated to endurance testing of straight-tooth bevel gear reducers used in various machines, including cotton farming machinery. The choice of the test object is due to the fact that many machines require bevel gear transmissions for spatial arrangement of components. These gears enable the transmission of rotational motion between intersecting shaft axes within compact external dimensions. Additionally, bevel gear transmissions are the most common type of gear mechanisms after cylindrical ones.

For several objective reasons, straight-tooth bevel gears have gained wide use. Unlike cylindrical gears, they are more sensitive to manufacturing and assembly errors as well as …

End-To-End Autonomous Quadcopter Using Reinforcement Learning, Mohamed Marwan Chawa

Theses and Dissertations

This thesis investigates the potential of Reinforcement Learning (RL) for achieving robust and adaptable quadcopter control, focusing on trajectory and attitude stabilization. We compare state-of-the-art RL algorithms, specifically Proximal Policy Optimization (PPO), against traditional Proportional-Integral-Derivative (PID) controllers across three tasks: hovering, slow trajectory following, and fast trajectory following. To enhance realism, we employ a modified PyFlyt simulation environment with a high-fidelity Crazyflie 2.x model, accounting for motor dynamics, noise, wind disturbances, and aerodynamic drag.

The challenge of operating a quadcopter can be divided into two distinct parts: planning a flight path and actually following that path. Our focus is on …

Evaluation Of Impact Energy In Composites Using Acoustic Emission Sensing Technique, Li Ai, Tanner Mesaric, Sydney Flowers, Sydney Houck, Joshua Widawsky, Paul Ziehl

Faculty Publications

A major challenge faced by composite materials is impact, which can result in unexpected damage and degradation. Impact events can cause significant structural damage that may not be immediately visible, leading to a reduction in the material’s mechanical properties and overall performance. This paper presents an impact assessment method using acoustic emission (AE) sensing technology. The primary goal of this approach is to determine the extent of impact damage on composite components by analyzing AE signals produced under operating stress conditions. An advanced algorithm is proposed to predict the probability that the damage falls into various damage categories, providing a …

Capacity Of Self Compact Concrete Walls Using Attapulgite As A Partial Replacement Of Cement Under One Way And Two Way Action Restriction, Wissam Kadhim Alsaraj, Luma Abdul Ghani Zghair, Akhlas Hashem Mohammed

Al-Esraa University College Journal for Engineering Sciences

This investigation about the structural performance of sustainable self-compact concrete walls exposed to eccentric axial regularly dispersed loading, including the effect of aspect ratio (AR) and slenderness ratio (λ) by one-way and two-way action. The experimental program includes testing ten wall panels, the eccentricity of the loading system equivalent to one-sixth of depth. These wall panels are separated into four groups, each one consisting of three specimens. first and second groups clarify the aspect ratio (H/L) effect. The results indicated for decreasing AR from (0.75 to 0.625), (0.625 to 0.5), and (0.75 to 0.5), the increase of final load is …

Exploring The Benefits Of Feature Selection Based On Bat Algorithm And Deep Learning In Brain Cancer Diagnosis, Noor Fawzi Shafiq

Al-Esraa University College Journal for Engineering Sciences

Brain cancer is considered one of the most dangerous types that must be treated as soon as possible. Therefore, it is necessary to detect brain cancer in its early stages to enhance the diagnosis of the condition. This study proposes to combine the bat algorithm (BA) with deep learning methods to identify and classify brain tumors in medical images accurately.

In this paper, the bat algorithm was used to select distinctive features from the input brain images. The Bat Algorithm (BA) is a metaheuristic optimization algorithm that mimics the echolocation behavior of bats. It efficiently explores the feature space to …

Unveiling The Hidden Threat: How Wireless Networks Fuel Serious Cyber Attacks, Ibtesam Jomaa Hawi

Al-Esraa University College Journal for Engineering Sciences

The spread of wireless networks has led to an increase in serious cyber attacks due to their weak architecture. This article focuses on reevaluating cybersecurity in wireless network technology by integrating statistical information detection methods and artificial intelligence (AI) algorithms. To construct a wireless networking scenario that accurately reflects real-life conditions, we created a data fabrication that included four pre-existing anomalies as well as four newly introduced anomalies. The synthetic dataset created from these generation processes contains 20 thousand distinguishable values, which are later divided into training and validation sets. Using the strategy described before, we began to analyze the …

A Study On Improving The Accuracy And Effectiveness Of Similarity Detection Processes In Text Files Using Nlp Techniques, Noor Abdulmuttaleb Jaafar

Al-Esraa University College Journal for Engineering Sciences

The rapid expansion of the Internet has revolutionized access to information, especially in the area of unstructured data, most of which consists of textual content. While instant access to information brings many advantages, it has also given rise to a prevalent problem – plagiarism. Copying and reusing materials without proper permission poses a significant threat to academic integrity and integrity. Rates of plagiarism, especially in academic and scientific publications, have risen with the advent of the Internet, reaching alarming levels, such as 60% in student projects. This study examines the proposed model that includes computation of similarity using cosine coefficients, …

A Systematic Approach To Vehicle Suspension Modeling: Integrating Experimental Testing And Simulation-Based Validation, Naoufel Ghannami

Honors Theses

This thesis explores the dynamic behavior of suspension systems using a radio-controlled (RC) vehicle as the study unit. By combining experimental drop testing and the Mississippi State Autonomous Vehicle Simulator (MAVS), the research focuses on determining key suspension parameters, including the spring constant and damping coefficient, which define the stiffness and energy dissipation characteristics of the system. The RC vehicle's suspension system provided a controlled platform for studying these dynamics under both real-world and simulated conditions. Experimental drop testing involved capturing the vehicle's response to impact using an accelerometer, while MAVS simulations modeled a controlled compression and release of the …

Pan-Cancer Analysis Of Rna Dysregulation, Somatic Mutations, And Matrix Stiffness Using Bioinformatics Approaches, Gongyu Tang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Cancer is a complex disease driven by genetic mutations, epigenetic modifications, and alterations in the tumor microenvironment. Understanding these intricate molecular mechanisms is crucial for advancing cancer diagnosis, prognosis, and treatment. RNA sequencing (RNA-seq) has emerged as a powerful tool to study cancer by providing comprehensive insights into gene expression, alternative splicing, and mutations at the transcriptome level. This dissertation leverages RNA-seq data to explore different dimensions of cancer biology through multi-omics integration and computational approaches. The research is divided into three main projects. First, I developed OncoDB, an interactive database to analyze gene expression, methylation patterns, and viral interactions …

Mems 411: The Ez-Push Fsae E-Assisted Pushbar, Ian Snider, Hunter Tate, Erik Lillegard, Maxwell Wrasman

Mechanical Engineering Design Project Class

WashU Racing needs a device that will help them transport their Formula SAE car to and from their garage/paddock during events and testing when the car is unable to move under its own power. Pushing the car is very exhausting and requires at least 2 pairs of people, rotating in and out, to push the car. An electronically assisted push bar would only require two people to push the car and wouldn't experience exhaustion due to pushing the car. This device will function similarly to a shopping cart tug while also functioning as a rear jack for the vehicle that …

Mems 411: Timed Mosquito Egg Container, Daniel Nordquist, Preston Gee, Stephanos Mavrommatis

Mechanical Engineering Design Project Class

To aid in the war against mosquitoes, PHD candidate Lauren Johnson tasked this groups with developing a device to help study egg laying patterns. The goal is to create a device that can cut off access to tea water (an attractive breeding site) at specified time intervals in order to observe the effects of daylight and temperatures on mosquito egg laying behavior.

Mems 411: A Diving Surface Breaker The Jetcycle, Amanda Mclaughlin, Nicholas Harris, Alice Hu, Steven Xiao

Mechanical Engineering Design Project Class

Create a diving surface breaker for the WashU swimming and Diving team.

Discrete Element Method For Mining Industrial Applications: Solving The Clumping Problem Caused By Bulk Cohesive Particles In An Iron Ore Beneficiation Process, Shuang Liu

McKelvey School of Engineering Graduate Student Theses & Dissertations

The discrete element method (DEM) is a widely used numerical approach for simulating and analyzing the behavior of granular materials in various applications. This research focuses on the iron ore beneficiation process, addressing the clumping issue in cohesive iron ores from existing crushing processes through a novel double-layered disperser design. The significance of this study lies in its potential to enhance the efficiency of the existing crushing phase and improve the linkage to subsequent purification stages that target smaller-sized iron ore pellets, thereby enhancing the overall efficiency of the ore beneficiation process and achieving significant energy savings. This research adopts …