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Evaluation Of The Dynamic Variations Of Groundwater Utilizing Grace Data For The Dammam Aquifer Within Muthanna Governorate, Iraq, Hanan Mohammed, Mahmoud Al-Khafaji, Imzahim Alwan Mar 2026

Evaluation Of The Dynamic Variations Of Groundwater Utilizing Grace Data For The Dammam Aquifer Within Muthanna Governorate, Iraq, Hanan Mohammed, Mahmoud Al-Khafaji, Imzahim Alwan

Engineering and Technology Journal

Recently, the worldwide drought situation has gotten worse and is posing a serious threat to many nations, including Iraq. It is now unavoidable to use modern technologies, including remote sensing, to lessen the effects of this catastrophe. This paper aims to check the consistency of groundwater storage (GWS) derived from multiple sources utilizing remote sensing data with direct measurements in wells in the Dammam unconfined aquifer, which is situated in Al-Muthanna Governorate, Iraq. This study utilizes the water-level readings from well records from January 2008 to December 2014. The groundwater results from different combinations of Gravity Recovery and Climate Experiment …

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An Artificial Neural Network Model Prediction Of Mortar Strengths Reinforced With Henequen And Sisal Fibres For Sustainable Construction, Akintayo Adeniji, Williams Kupolati, Everardt Burger, Mueez Are, Jacques Snyman, Julius Ndambuki, Chris Ackerman Mar 2026

An Artificial Neural Network Model Prediction Of Mortar Strengths Reinforced With Henequen And Sisal Fibres For Sustainable Construction, Akintayo Adeniji, Williams Kupolati, Everardt Burger, Mueez Are, Jacques Snyman, Julius Ndambuki, Chris Ackerman

Engineering and Technology Journal

The increasing demand for sustainable building materials has spurred interest in using natural fibers for construction. This study evaluates the performance of henequen and sisal fibers in mortar to enhance their tensile properties and provide alternatives to synthetic fibers. Mortar samples were prepared using a 1:3 mix ratio, with fibers introduced at 0%, 0.5%, 1%, 1.5%, and 2% by weight. The particle size distribution, setting times, consistency, and water ab-sorption and tensile strength of mortar constituents and fibers were determined. Compressive and splitting tensile strength tests were conducted on samples of 75 mm cubes and 50 × 100 mm cylinders …

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Plastic Roads: Evaluating The Role Of Waste Pet In Hot Mix Asphalt – A Review, Anwer Ali, Mustafa Khalid, Ahmed Adulateef, Rasha Mahmoud Mar 2026

Plastic Roads: Evaluating The Role Of Waste Pet In Hot Mix Asphalt – A Review, Anwer Ali, Mustafa Khalid, Ahmed Adulateef, Rasha Mahmoud

Engineering and Technology Journal

Plastic pollution has become a global environmental crisis, with millions of tons of polyethylene terephthalate (PET) waste accumulating in landfills and ecosystems. One promising solution is the integration of waste PET into hot-mix asphalt (HMA), offering the dual benefits of sustainable waste management and enhanced pavement performance. This review critically examines the mechanical, environmental, and economic impacts of PET-modified asphalt. Studies indicate that PET improves rutting resistance, durability, and flexibility, with optimal performance observed at moderate PET dosages (4– 6%). However, excessive PET content (> 6%) can lead to stiffening and premature cracking, while very high PET concentrations (> 20%) …

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Moment-Curvature Relations Of Fiber-Reinforced Concrete-Encased Cfst Beams, Raad Abdulkhudhur, Hussein Al-Quraishi, Mohammed Elwi Mar 2026

Moment-Curvature Relations Of Fiber-Reinforced Concrete-Encased Cfst Beams, Raad Abdulkhudhur, Hussein Al-Quraishi, Mohammed Elwi

Engineering and Technology Journal

A concrete-filled steel tube surrounded by external concrete is a composite element known as a concrete-encased concrete-filled steel tube (CFST). This composite element is used in multi-story buildings, large-span constructions, bridges, and underground transit stations. This research examined the curvature behavior of fiber-reinforced concrete-encased CFST beams. Eight concrete-encased CFST beams and one conventional beam were subjected to four-point loads during testing. The factors examined were shear connection, section size, CFST ratio, outer concrete compressive strength, compressive strength of concrete inside the steel tube, steel fiber content, and unfilled steel tubes. Curvature is an important factor that determines the adequacy of …

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Self-Sensing Engineered Cementitious Composites With Carbon Nanotubes And Reinforcing Fibers For Damage Detection, Shatha Ahmed, Ali Al-Dahawi, Shatha Hassan Mar 2026

Self-Sensing Engineered Cementitious Composites With Carbon Nanotubes And Reinforcing Fibers For Damage Detection, Shatha Ahmed, Ali Al-Dahawi, Shatha Hassan

Engineering and Technology Journal

Engineered Cementitious Composites (ECC) represent innovative construction materials that exhibit established mechanical properties and strength features. The exceptional characteristics of this substance render it a compelling option for various kinds of facilities. However, the increased implementation of ECCs necessitates monitoring the structural integrity of the systems that utilize them. This paper focuses on developing this concept by employing the traditional matrix after incorporating it with conductive fillers. These fillers transform the matrix into a functional state to sense the damage caused by various loads. Such loads include indirect tensile loads and compressive strength of mortar samples composed of cementitious matrix …

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Investigating The Role Of Solvent Extraction In Altering Ph Levels For Efficient Neodymium Extraction From Magnet Scrap, Huwaidah Ahmed, Ali Aljubouri, Hanaa Al-Kaisy Mar 2026

Investigating The Role Of Solvent Extraction In Altering Ph Levels For Efficient Neodymium Extraction From Magnet Scrap, Huwaidah Ahmed, Ali Aljubouri, Hanaa Al-Kaisy

Engineering and Technology Journal

Recycling rare earth elements, specifically neodymium from magnet scrap, is crucial for advancing sustainable technologies across various industries. In this research, neodymium was recovered by solvent extraction using a stock solution prepared in 200 mL by dissolving 1 g of neodymium (III) nitrate hexahydrate, Nd(NO3)3.6H2O, in 0.5 M nitric acid. Then, it was mixed with 1 M di-(2-ethylhexyl) phosphoric acid (D2EHPA) in Isopar-L, as the organic phase, and 3 M H2SO4, as the aqueous phase, with an organic/aqueous volume ratio of (1:1). Specifically, the study examined the pH variation of the aqueous phase (from 0.5 to 2). The pH of …

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Ai-Driven Attacks On Database Security: Taxonomy And Defense Strategies, Diyar Naaman, Berivan Ahmed, Hajar Yasin Mar 2026

Ai-Driven Attacks On Database Security: Taxonomy And Defense Strategies, Diyar Naaman, Berivan Ahmed, Hajar Yasin

Engineering and Technology Journal

Artificial intelligence has introduced both unprecedented capabilities and novel vulnerabilities into database environments, enabling highly adaptive attacks that can evade traditional defenses. This review surveys recent research published between 2022 and 2025 on AI-assisted database security threats and synthesizes the literature to develop a comprehensive taxonomy of emerging attack approaches. We identified five primary classes of AI-based attacks: intelligent SQL injection attacks, adversarial machine learning strategies targeting database security systems, data poisoning attacks on AI-based databases, automated reconnaissance exploits, and sociotechnical manipulations aimed at database administrators. We systematically reviewed publications on cyber defense stored in IEEE Xplore, ACM Digital Library, …

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The Effect Of Synthetic Minority Oversampling For Enhancing Brain Tumor Image Classification, Farah Fadhil, Zainab Sultani Mar 2026

The Effect Of Synthetic Minority Oversampling For Enhancing Brain Tumor Image Classification, Farah Fadhil, Zainab Sultani

Engineering and Technology Journal

Brain tumors are among the most serious neurological diseases, posing significant diagnostic challenges due to their diverse nature and complexity imbalance in medical imaging datasets. To address these challenges, machine learning (ML) has demonstrated high potential in brain tumor classification; nevertheless, its overall performance can suffer when minority classes are underrepresented. This study examines the impact of the Synthetic Minority Over-sampling Technique (SMOTE) on MRI brain tumor classification using handcrafted features, including Gray Level Co-occurence Matrix (GLCM), Histogram of Oriented Gradients (HOG), and their combination (HOG + GLCM), with three classifiers, namely, Logistic Regression (LR), Support Vector Machines (SVM), and …

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Traditional Machine Learning Techniques For Explainable Ai In Lung And Colon Cancer Classification, Mahmood Amer, Zainab Sultani Mar 2026

Traditional Machine Learning Techniques For Explainable Ai In Lung And Colon Cancer Classification, Mahmood Amer, Zainab Sultani

Engineering and Technology Journal

Lung and colon cancers are two of the most common and deadly tumors around the world, creating significant public health concerns. Artificial intelligence (AI) and machine learning (ML) have heavily improved cancer research, particularly in early detection, histopathological analysis, and personalized therapy planning. However, despite their remarkable accuracy, ML models sometimes lack transparency, making explainability crucial in medical applications. Although various machine learning (ML)-based classifications for cancer models exist, their interpretation is not understood. The current research overcomes the diagnostic gap by developing a highly accurate system that uses XAI (Explainable Artificial Intelligence) methods to clarify its predictions. We used …

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A Comparative Study Of Viscoelastic Characteristics In Polymer Composite With Respect To The Damping Performance And Structural Behavior, Rafal Hameed Mar 2026

A Comparative Study Of Viscoelastic Characteristics In Polymer Composite With Respect To The Damping Performance And Structural Behavior, Rafal Hameed

Engineering and Technology Journal

This study systematically investigates the viscoelastic characteristics and damping performance of polymer composites, examining the interplay between filler morphology, matrix-filler interactions, and structural behavior. The purpose is to understand and predict how different fillers influence key viscoelastic properties to enable tailored composite design. Methods and Key Findings: Dynamic mechanical analysis (DMA) and forced vibration tests were used to characterize temperature- and frequency-dependent viscoelastic properties, including storage modulus (E′), loss modulus (E′′), and damping factor (tanδ). Key results demonstrate distinct effects: Spherical calcium carbonate increased stiffness (E′) by 45% at 15 wt% loading but restricted damping (tan δ) due to agglomeration-induced …

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Evaluating The Performance Of An Electrocoagulation Process Using Response Surface Methods For Textile Wastewater Treatment, Adedayo Badejo, Fidelis Nkeshita, Ayorinde Olanipekun, Babatunde Bada, Adekunle David, Julius Ndambuki, Williams Kupolati Mar 2026

Evaluating The Performance Of An Electrocoagulation Process Using Response Surface Methods For Textile Wastewater Treatment, Adedayo Badejo, Fidelis Nkeshita, Ayorinde Olanipekun, Babatunde Bada, Adekunle David, Julius Ndambuki, Williams Kupolati

Engineering and Technology Journal

The textile industry is one of the largest polluters of water resources, producing effluents containing complex mixtures of pollutants such as dyes, heavy metals, and high biological oxygen demand. Electrocoagulation (EC) is an efficient wastewater treatment technique that uses iron or aluminum electrodes to coagulate and adsorb pollutants. This work assesses the performance of EC for textile wastewater treatment to identify the best combination of pH (5-9), electrolysis time (20-60 min), and voltage (5-11 V) on Chemical Oxygen Demand (COD) and color removal. The results show that voltage and electrolysis time had a positive effect on the efficiencies of pollutant …

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Photodegradation Of Paracetamol Using Tio2 In A Rectangular Bubble Column Reactor, Ashwan Khalil, Asawer Alwasiti, Jenan Abdulrzaak Mar 2026

Photodegradation Of Paracetamol Using Tio2 In A Rectangular Bubble Column Reactor, Ashwan Khalil, Asawer Alwasiti, Jenan Abdulrzaak

Engineering and Technology Journal

Surface water, wastewater, and drinking water have all been found to contain paracetamol and its toxic breakdown products. Effective ways to degrade these products must be discovered to lessen their harmful effects on aquatic microorganisms and human health. The study focuses on finding effective methods to degrade harmful products, specifically paracetamol, to mitigate their negative impact on aquatic microorganisms and human health. To achieve this, the research investigates a photocatalytic process enhanced by introducing air bubbles, aiming to improve the degradation of paracetamol. The experiments were carried out in a batch reactor and a semi-batch rectangular bubble column, which measured …

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Progress Of Nanomaterials Incorporation Into Pvdf Membrane Distillation: Characteristics Enhancement, Nanomaterials Leaching And Stability: A Review, Samraa Khaleel, Salah Ibrahim, Raed Al-Juboori, Woei Lau, Siew Low, Zeinab Jawad, Saad Al-Saadi, Qusay Alsalhy Mar 2026

Progress Of Nanomaterials Incorporation Into Pvdf Membrane Distillation: Characteristics Enhancement, Nanomaterials Leaching And Stability: A Review, Samraa Khaleel, Salah Ibrahim, Raed Al-Juboori, Woei Lau, Siew Low, Zeinab Jawad, Saad Al-Saadi, Qusay Alsalhy

Engineering and Technology Journal

Membrane distillation (MD) faces challenges in the form of diminished permeate flux attributed to the loss of hydrophobicity with time. Nanomaterials play an essential role in enhancing the performance of MD through membrane modification during formation or surface modification. Numerous nanomaterials have been investigated, particularly for flat sheet polyvinylidene fluorides (PVDF). These nanomaterials have provided unparalleled opportunities for the MD process application, such as increased water desalination efficiency, improved membrane durability, and reduced energy consumption. Adding nanomaterials changed the MD membrane properties, such as the size of the pores, porosity, and hydrophobicity, which significantly enhanced MD efficiency. However, some are …

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Electromagnetic Analysis Of A Surface-Mounted Permanent Magnet Motor, Ta Ayorinde, Pf Le Roux, T Jamiru Mar 2026

Electromagnetic Analysis Of A Surface-Mounted Permanent Magnet Motor, Ta Ayorinde, Pf Le Roux, T Jamiru

Engineering and Technology Journal

This study investigates the finite element analysis (FEA) of a surface-mounted permanent magnet motor (SMPMM) using QuickField software. The model was developed by solving Maxwell’s equations on meshed SMPMM geometries, integrating real B-H curve data for laminated steel stator and rotor materials to accurately represent the nonlinear behaviour of the SMPMM. The simulation was performed to evaluate the magnetic flux distribution, air-gap flux density, torque, and self-and mutual inductance at an operational speed of 3000 rpm, and compares the simulated outputs with existing experimental results. Under current excitation up to 2 A, the simulated air gap density ranged from 0.7 …

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Optimizing Parameters For Fiber Laser Cutting Stainless Steel 201 To Improve Kerf Width Quality, Anwar Zabon, Tahseen Abbas, Aqeel Bedan Mar 2026

Optimizing Parameters For Fiber Laser Cutting Stainless Steel 201 To Improve Kerf Width Quality, Anwar Zabon, Tahseen Abbas, Aqeel Bedan

Engineering and Technology Journal

This study investigates the laser cutting of stainless steel 201 using the Response Surface Methodology with a 32-run experimental design (L32). The responses are top and bottom kerf width, while laser power, cutting speed, frequency, focal position, and gas pressure are selected as input process parameters. A comprehensive statistical analysis, including analysis of variance, main effect plots, residual plots, and interaction plots, was conducted to assess the significance and contribution of each parameter. The ANOVA results for TKW and BKW confirmed the statistical significance of all machining variables. For BKW, laser power had the highest influence (72%), followed by focal …

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In-Chip Artificial Intelligence Technology For Generating And Self-Correcting The Topology Of Low-Consumption Rc Filters, Zainab Al-Araji Mar 2026

In-Chip Artificial Intelligence Technology For Generating And Self-Correcting The Topology Of Low-Consumption Rc Filters, Zainab Al-Araji

Engineering and Technology Journal

This study presents an innovative self-tuning system for first-class RC filter circuits, specially designed to achieve a target cut-off frequency of 500 kHz with unprecedented accuracy and high energy efficiency. The proposed model is based on a multivariate adaptive tuning algorithm that synchronously adjusts both the resistance (R) and the capacitance (C). The effectiveness of the model was verified through a three-level methodology that included theoretical modeling using Maxwell's equations, digital simulation using the MATLAB/Simulink environment, and practical testing with an accurate spectrometer. The results demonstrated a standard frequency accuracy of 99.9969% and a relative error of less than 0.0031%, …

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Disaster Management-Based Internet Of Things Using Wireless Sensor Networks, Ali Abed, Anas Hussien, Lara Falaha Mar 2026

Disaster Management-Based Internet Of Things Using Wireless Sensor Networks, Ali Abed, Anas Hussien, Lara Falaha

Engineering and Technology Journal

Wireless Sensor Networks (WSNs) have become essential in the monitoring and managing environmental disasters, providing real-time data collection and transmission functionalities. Their application is especially crucial in flood-prone areas, where prompt detection and action can reduce substantial human, economic, and infrastructural losses. Wireless Sensor Networks (WSNs) comprise spatially distributed sensors that monitor environmental parameters, including water levels, temperature, and humidity, relaying data to a centralized system for analysis and response. This paper proposes a flood monitoring system based on a wireless sensor network, emphasizing installing water-level sensors in dam basements.  The system employs the ZigBee communication protocol to provide low-power, …

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A Review Of Smart Actuation Technologies In Modern Mechatronic Systems, Ivan Gorial Mar 2026

A Review Of Smart Actuation Technologies In Modern Mechatronic Systems, Ivan Gorial

Engineering and Technology Journal

Smart actuation has transformed mechatronics over the past six years by harnessing materials that turn heat, electricity, magnetism, or light into finely tuned motion. Our survey of developments from 2019 to 2025 reveals clear trade-offs: electro-active polymers can stretch beyond 200% but operate at roughly 30% efficiency, whereas piezoelectric devices achieve over 95% efficiency with displacements under 0.1%. Ionic polymer–metal composites and magnetorheological actuators strike the best balance for precision work, delivering about 50% stroke at 60% efficiency. Real-world examples show that packing tiny shape-memory alloy bundles into soft exosuits grants sub-millimeter accuracy without sacrificing comfort, and that materials capable …

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Experimental Investigation Of Applying Multi-Stage (Pid-Mrac) Controller For Trajectory Tracking Of Four Mecanum Wheeled Mobile Robot, Asaad Abdullsahib, Hassan Alwan Mar 2026

Experimental Investigation Of Applying Multi-Stage (Pid-Mrac) Controller For Trajectory Tracking Of Four Mecanum Wheeled Mobile Robot, Asaad Abdullsahib, Hassan Alwan

Engineering and Technology Journal

This paper presents a practical investigation into the design and implementation of a multi-stage controller, which integrates a Model Reference Adaptive Controller (MRAC) with a Proportional-Integral-Derivative (PID) controller for trajectory tracking control in a Four Mecanum Wheels Mobile Robot (FMWMR). The MRAC adaptively updates the control parameters based on the difference between the actual and desired behaviors of the mobile robot. In contrast, the PID controller manages the angular velocities of the wheels. The mobile robot has been designed and constructed with two holders to facilitate the transportation of logistical items and constrain the weight to the center of the …

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An Optimal Area Power System-Based Automatic Load Frequency Control Using A 1-D Lookup Table Method, Ekhlas Thajeel Mar 2026

An Optimal Area Power System-Based Automatic Load Frequency Control Using A 1-D Lookup Table Method, Ekhlas Thajeel

Engineering and Technology Journal

Automatic load frequency control (ALFC) is an important part of auxiliary services in power systems. To sustain system accuracy and ensure the safety of power systems, ALFC system design is a vital issue. Power system networks must quickly address the imbalance between generation and demand, or else the power line frequency will depart from its nominal value. However, performance might be disappointing, and frequency deviation can occur when a substantial disturbance occurs, such as when a rapid, significant load change happens. In particular, an enormous number one- and two-dimensional lookup table is used; in this study, the 1-D Lookup Table …

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Design And Control Of Wireless Charging System For Electric Vehicle, Basma Abbas, Hosham Anead, Khalid Sultan Mar 2026

Design And Control Of Wireless Charging System For Electric Vehicle, Basma Abbas, Hosham Anead, Khalid Sultan

Engineering and Technology Journal

This study concentrated on utilizing a neural network controller and inductive power transfer to enhance the electric vehicle charging. Electric vehicles are a key transportation system component since they lower fuel costs, noise levels, and carbon emissions. The charging duration and operational battery efficiency are the primary obstacles to wireless charging in electric vehicles. In the beginning, the system was designed. It included the primary side (grid, rectifier, DC-DC boost converter, and DC-AC high-frequency inverter), mutual inductance (one coil transmitter and six coils receiver), and secondary side (single-phase rectifier and battery pack). A neural network controller has been employed to …

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Comparative Study On Finite Time Tracking Design Based On Pid For 1-Degree Of Freedom Manipulator, Samara Al-Dahlaky, Safanah Raafat Mar 2026

Comparative Study On Finite Time Tracking Design Based On Pid For 1-Degree Of Freedom Manipulator, Samara Al-Dahlaky, Safanah Raafat

Engineering and Technology Journal

In this paper, the application of Sliding Mode Control (SMC) and its integration with Finite-Time Stability (FTS) for controlling 1-degree of-freedom (DOF) system has been explored. By combining FTS with SMC, the convergence speed is significantly improved, enhancing the system's resistance to external disturbances. This paper demonstrates a detailed comparative study on the application of SMC based on FTS with a SMC, and with conventional-PID (C-PID). The SMC developed in this paper is based on a PID controller to ensure that the system's trajectory converges exponentially to zero. The results show that using SMC with FTS provides faster and more …

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Investigating The Effect Of Cooling Systems On The Efficiency Of Photovoltaic Solar Panels, Bilal Al-Asbea Mar 2026

Investigating The Effect Of Cooling Systems On The Efficiency Of Photovoltaic Solar Panels, Bilal Al-Asbea

Engineering and Technology Journal

This research investigates the influence of cooling systems on the performance of photovoltaic (PV) solar panels, specifically using pulsing tubes filled with alumina and titanium dioxide nanofluids under conditions characteristic of solar power plants. Cooling photovoltaic (PV) solar panels is essential for improving their efficiency in solar generating facilities. This work examines the use of pulsing tubes containing Al₂O₃ and TiO₂ nanofluids, together with flow-guiding barriers, to enhance cooling efficiency. Through ANSYS Fluent simulations, we determined that two barriers decrease panel temperature by around 20% (from 60 °C to 48 °C), enhance heat transmission by around 30%, and augment efficiency …

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Influence Of Calcium Carbonate Reinforcement On Mechanical Properties And Sustainability Of Hdpe-Recycled Plastic Composites For Industrial Applications, Yassin Ahmed, Mohammed Ahmad Mar 2026

Influence Of Calcium Carbonate Reinforcement On Mechanical Properties And Sustainability Of Hdpe-Recycled Plastic Composites For Industrial Applications, Yassin Ahmed, Mohammed Ahmad

Engineering and Technology Journal

Currently, the demand for sustainable materials has led to an interest in polymer composites filled with mineral fillers and recycled materials. High-density polyethylene (HDPE) is a potential matrix for green composite production due to its widespread application, excellent mechanical properties, ease of recycling, and high density. This study investigates the mechanical properties of HDPE composites containing different mix proportions of calcium carbonate (CaCO₃) and recycled plastic. The mechanical performance of composites was evaluated by testing their tensile strength, elongation at break, Young's modulus, hardness, flexural strength, flexural modulus, and impact strength. Inclusion of CaCO₃ in the matrix resulted in improved …

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Performance And Exergoeconomic Assessment Of Of Integrated Organic Rankine Cycle With Solar Combined Cycle System On Sustainable Power Generation In Iraq, Abdulrazzak Akroot, Ayaa Faraj Mar 2026

Performance And Exergoeconomic Assessment Of Of Integrated Organic Rankine Cycle With Solar Combined Cycle System On Sustainable Power Generation In Iraq, Abdulrazzak Akroot, Ayaa Faraj

Engineering and Technology Journal

This study presents a comprehensive performance and exergoeconomic assessment of a solar-driven triple combined cycle (TCC) power system integrated with a rock bed thermal storage unit and an Organic Rankine Cycle (ORC) for enhanced sustainable power generation in Iraq. The proposed system combines Brayton, Rankine, and Organic Rankine Cycle (ORC) cycles to maximize energy recovery from both high- and low-grade heat sources. The integration of the ORC unit significantly improves system efficiency by utilizing residual thermal energy that would otherwise be wasted. The analysis used Engineering Equation Solver (EES) software, incorporating monthly climatic data from Salahaddin, Iraq. Thermodynamic and exergoeconomic …

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A Review Study On Ai-Driven Robotics And Automation In Smart Manufacturing: Applications, Challenges, And Economic Impacts, Timothy Adeyi, Jacob Adebayo, Olakunle Oresegun, Shade Ademokoya, Sunday Jegede, Adrian Cheok Mar 2026

A Review Study On Ai-Driven Robotics And Automation In Smart Manufacturing: Applications, Challenges, And Economic Impacts, Timothy Adeyi, Jacob Adebayo, Olakunle Oresegun, Shade Ademokoya, Sunday Jegede, Adrian Cheok

Engineering and Technology Journal

Integrating AI-driven robotics and automation revolutionizes smart manufacturing by enhancing operational efficiency, productivity, and system flexibility across automotive, aerospace, and general equipment manufacturing industries. This review synthesizes findings from 84 peer-reviewed publications to evaluate the transformative potential of key AI technologies—including machine learning, digital twins, edge AI, and human-machine collaboration—in optimizing production lines and enabling predictive maintenance, real-time monitoring, and adaptive decision-making. While these innovations offer significant benefits in quality control, cost reduction, and sustainability, challenges remain in integrating AI with legacy systems, addressing workforce skill gaps, and ensuring cybersecurity and ethical compliance. Emerging trends such as 5G-enabled edge computing …

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The Effective Of The Passive And Active Techniques On The Vibration Control System, Firas Jasim, Mohammed Mohammed, Hatam Kadhom Mar 2026

The Effective Of The Passive And Active Techniques On The Vibration Control System, Firas Jasim, Mohammed Mohammed, Hatam Kadhom

Engineering and Technology Journal

The interaction between structures and fluid flow in a direction perpendicular to the body can induce vibrations in the structure, a phenomenon known as vortex-induced vibration (VIV). This phenomenon may lead to structural failure due to resonance, which occurs when the natural frequency of the structure matches the vortex shedding frequency. Therefore, it is essential to employ vibration control devices to address the resulting high-amplitude instabilities. In this study, a subsonic wind tunnel with open-circuit specifications was constructed. This open-type wind tunnel generates airflow at varying velocities through the test section. To control vibrations around the cylindrical pipe, an Open-Loop …

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The Impact Of Using Artificial Intelligence Techniques On The Performance Of Turbine Stations: A Mini Review, Ali Fadiel, Moktar Mohamad, Hafiez Khalid, Younis Esham Mar 2026

The Impact Of Using Artificial Intelligence Techniques On The Performance Of Turbine Stations: A Mini Review, Ali Fadiel, Moktar Mohamad, Hafiez Khalid, Younis Esham

Engineering and Technology Journal

This study aims to review the use of artificial intelligence applications in the management of gas turbine stations and their impact on enhancing and raising the efficiency of these stations, including managing the stations themselves, then improving operational efficiency, predicting faults, and developing strategies for road maintenance and precautionary maintenance while reducing the cost through a methodology that is a combination. One of several methodologies describes the factors that influence the enhancement of operational efficiency and management of turbine plants using artificial intelligence applications. The quantitative methodology in collecting data and studies that included the subject and the analytical and …

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Examining The Flexural Behavior Of Honeycomb Sandwich Composites: A Numerical And Experimental Study, Salwan Alhumairee, Ibtihal Mahmood, Mustafa Hunain, Hassan Raheem Mar 2026

Examining The Flexural Behavior Of Honeycomb Sandwich Composites: A Numerical And Experimental Study, Salwan Alhumairee, Ibtihal Mahmood, Mustafa Hunain, Hassan Raheem

Engineering and Technology Journal

Composite sandwich panel structures have been widely used in engineering and aerospace applications. Predicting the flexural properties of theoretical composite constructions is crucial for efficiently designing sandwich composite panel products. This research investigates four different cell core forms—circular, hexagonal, rectangular, and triangular—utilized in the manufacture of sandwich composite structures using a numerical program. For each case, the sandwich composite panel structure maintained constant weight and constant thickness for all models. The skin was fabricated from one layer of carbon fiber and two layers of glass fiber, combined with 3% carbide silicon and 6% polysulfide rubber in an epoxy matrix. The …

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Performance Enhancement Of Evacuated Tube Solar Collectors: A Review, Shrooq Ali, Jalal Jalil, Ahlam Shuraiji Mar 2026

Performance Enhancement Of Evacuated Tube Solar Collectors: A Review, Shrooq Ali, Jalal Jalil, Ahlam Shuraiji

Engineering and Technology Journal

Solar thermal energy is essential for industrial and home applications, such as solar drying, space heating, water heating, and water desalination. Solar collectors are essential elements in these systems, as they transform solar irradiance into thermal energy. Evacuated heat pipes (EHPs) have emerged as efficient thermal transfer devices among sophisticated solar thermal technologies, capable of handling heat with low losses. These pipes function by employing a vacuum-sealed environment that markedly diminishes thermal resistance and convective heat loss. The heat transfer process is facilitated by the phase change of a working fluid, which evaporates at the heat source and condenses at …

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