Mechanical Engineering Commons^™

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 …

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 …

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 …

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 …

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. …

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 …

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.

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: 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: Dbf Wind Tunnel, Jeremy Choh, Stefan Hester, David Howard, Yang Yang

Mechanical Engineering Design Project Class

Design, Build, Fly (DBF) is a student-run engineering team at Washington University in St. Louis (WUSTL) that designs aircraft for flight competitions. Before assembling the final product, DBF runs numerous simulations on prototypes to understand the effects of drag and lift on the designed shape. The lift and drag parameters are important to aircraft design, as DBF hopes to optimize flight performance during competitions. However, simulations require computational power, are theoretical at best, and may inaccurately represent real-life situations. Preferably, DBF can use physical testing that captures prototype performance with more qualitative details.

Senior Design Group Z approaches DBF's needs …

An Intelligent System Using Deep Learning For Healthcare Monitoring In Light Of The Covid-19 And Future Pandemics Based On Iot, Sara Salman Qasim, Rajaa J. Khanjar, Jamal Nasir Hasoon, Baesher Abdullateff Abad, Ali Hussein Fadil, Shajan.M. Alsowaidi

Al-Esraa University College Journal for Engineering Sciences

Recently, the Internet of Things has become a compelling research field as a new topic of research in various disciplines, particularly in the field of healthcare, because the Internet of Things is rebuilding modern healthcare systems by integrating technology, economics, and social perspectives. The development of healthcare systems from traditional to more personalized systems in which patients can be easily diagnosed, monitored and treated and many people can be helped. People are treated and cared for remotely and this is what some people need in the crisis the world has been through like COVID-19. This epidemic is caused by the …

Speech Coding Based On A Hybrid Approach: Dct, Huffman And Run-Length Coding, Sundos Abdulameer Alazawi, Esraa Jaffar Baker, Shahbaa Mohammed Abdulmaged

Al-Esraa University College Journal for Engineering Sciences

The exponential expansion of data in the digital world necessitates the development of effective methods for data transmission and storage. Data compression (DC) strategies are suggested to reduce the quantity of data stored or conveyed due to constrained resources. As a result of DC ideas' ability to efficiently use existing storage space and transmission capacity, different methods have been developed in various areas. Speech coding is a lossy method of coding; therefore, the output signal differs slightly from the input signal. Speech coding is useful for message encryption, communication over long distances and speech quality. In the fields of digital …

The Evolution Of The University Of Al-Anbar Urban Planning Based On The Mental Picture's Diversity And The Contemporary Planning Spaces Filling, Ali Abdulsamea Hameed

Al-Esraa University College Journal for Engineering Sciences

This research concentrated on the role of environmental graphic design (EGD) and the place-making idea in the interior environment of Al-Anbar University. To develop an identity being visual for the University of Al-Anbar internal environment (IE) is this goal of project. The search sought to create and enhance the shape of the internal University of Al-Anbar vacuum by reviving the idea of place building. In order to build and filling the internal emptiness of the campus, the identity being visual must also be strengthened. The descriptive analytical approach was chosen since it was best suited to achieve the goal of …

Wood-Plastic Composites Integration For Triboelectric Nanogenerator Electricity Generation, Hanbyeol Park, Razamala Yashna F. Dimaporo, Sophia Maureen A. Emperado, Anton Jefferson L. Pangilinan, Juan Carlo T. Gumangan

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Access to electricity in underdeveloped communities is particularly crucial in improving the living standards of people and alleviating poverty by promoting sustainable development. This study deals with the exploration of incorporating wood-plastic composite (WPC) – specifically wood pulp (W) and high-density polyethylene (H) – into triboelectric nanogenerator (TENG) flooring system to convert mechanical energy to electrical energy, promoting sustainable energy, reducing greenhouse gas emissions, improving the quality of life, and serving as feasible flooring tiles. Two types of TENG tiles were prepared by using different WPC ratios: 30W:70H and 70W:30H. A static bending test was conducted to assess the flexural …

Effects Of Negative Poisson’S Ratio On The Mechanics Of Auxetic Carbon Fiber Composites Under Tensile, Buckling And Low Velocity Impact, Wenhua Lin

Dissertations - ALL

Carbon fiber reinforced polymer (CFRP) matrix composites exhibited superior properties, such as high specific stiffness and specific strength, excellent fatigue and corrosion resistance, and low coefficient of thermal expansion, have been popular across various industries including aerospace, marine, automotive, energy, civil infrastructure, and high-end sports over the past decades. However, one significant drawback of CFRP composites is the susceptibility to low velocity impact damage which, for aircraft, can be results of tool drop, runway debris, and bird strike during takeoff and landing. These impact events could lead to external and internal damages of a CFRP composite structure in various damage …

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 …

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 …

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 …

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 …

Development Of A Model For Fire Spread In Low-Gravity Conditions, Kathleen Martinus

The Journal of Purdue Undergraduate Research

No abstract provided.

Optimization Of Tps Films Using An Adaptive Design Of Experiments Approach In A Bayesian Optimization Framework, Theresa Marks, Gracie White, Scott Lohman, Mayank Malhotra

The Journal of Purdue Undergraduate Research

Plastic pollution, amounting to 12 million tons annually, necessitates sustainable alternatives to single-use plastics. Compostable thermoplastic starch (TPS) films show promise but lack strength and durability compared to traditional plastics. This study employs an adaptive design of experiments (DoE) approach to enhance TPS films by optimizing testing points. The research focuses on varying concentrations of plasticizers (acetic acid and glycerol) in a water and potato starch mixture, aiming to identify the optimal ratio maximizing tensile strength and % elongation at break. Gaussian process regression (GPR) with uncertainty estimation and Bayesian optimization (BO) utilizing an acquisition function (AF) are employed. The …