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1074 articles for “Mechanical systems”
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ANN-Based Adaptive Rotor Current Control for DFIG Wind Systems: A Comparative Dynamic Analysis
Abstract: The variability of rotor current management in Doubly Fed Induction Generator (DFIG)-based wind energy conversion systems is crucial for maintaining stability in power extraction under fluctuating wind and grid circumstances. Traditional proportional-integral (PI) controllers, despite their ease of use, frequently exhibit diminished performance when faced with parameter uncertainty, nonlinear behaviors, and rapid wind fluctuations.This paper presents an adaptive rotor current control strategy, which is an Artificial Neural Network (ANN)-based approach …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 41–53 Read article
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Integrated Optimization of Solar Photovoltaic Systems Using Taguchi Method and Computational Fluid Dynamics for Enhanced Efficiency
Abstract: The transition to renewable energy demands efficient and reliable photovoltaic (PV) systems to meet rising global energy needs. This study presents an integrated optimization framework combining the Taguchi method and Computational Fluid Dynamics (CFD) to improve the thermal and electrical performance of solar PV systems. A structured experimental design using an L9 orthogonal array evaluates the influence of three key parameters—material type, panel thickness, and cooling mechanism—on system efficiency. Analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 10–25 Read article
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Smart Vehicle Security System Using Fingerprint Authentication with Alcohol Detection
Abstract: An electronic device is installed in a car or fleet of vehicles as part of a vehicle tracking system, which allows the owner or a third party to follow the whereabouts of the vehicle while also gathering data. The technology known as a modern vehicle tracking system (VTS) uses a variety of techniques, including GPS and GSM modules as well as other radio navigation systems that employ satellites and ground-based …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 1, 2024 Read article
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The Rise of Fractional Calculus: Novel Applications in Engineering and Biological Systems
Abstract: Fractional calculus (FC) is an advanced mathematical framework that generalizes the classical concepts of differentiation and integration to non-integer, or fractional, orders. This extension of traditional calculus allows for the modeling of complex dynamic systems that exhibit behavior not easily captured by integer-order differential equations. Over the last few decades, fractional calculus has seen a rapid rise in popularity, particularly in applied mathematics, engineering, and biological sciences, due to its …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 7–11 Read article
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Next-Generation Conductive Polymer Composites for Flexible and Wearable Electronics
Abstract: The rising demand for flexible and wearable electronics has accelerated research into conductive polymer composites (CPCs) due to their lightweight nature, electrical conductivity, and mechanical flexibility. Despite significant advancements, challenges such as reduced conductivity under mechanical deformation and limited durability persist. This study aims to develop next-generation CPCs with enhanced conductivity, flexibility, and self-healing capabilities. Hybrid nanofillers—graphene, carbon nanotubes (CNTs), and silver nanowires (AgNWs)—were incorporated into bio-based conductive polymers through …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 550–566 Read article
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Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article
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Smart Firefighting Robot using Arduino Uno
Abstract: A fire is dangerous and can have many repercussions. Numerous accidents can be avoided by promptly identifying and putting out a fire. Human resources have been our mainstay thus far. The person's life is often in jeopardy as a result. Consequently, fire safety becomes essential to save lives. The fire extinguishing robot proposed and designed in this work locates the fire and utilizes sprinklers to extinguish it when the pump …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 21–27 Read article
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Design and Development of Pipe Bending Machine
Abstract: The design and development of a pipe bending machine are crucial for various industrial applications, including the construction, automotive, and manufacturing sectors. Bending is a fundamental metalworking process that involves deforming pipes, tubes, square hollows, and rods without compromising their structural integrity. This study focuses on designing a cost-effective and efficient pipe bending machine that can accommodate different pipe sizes and materials. The key design considerations include selecting an appropriate …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 22–30 Read article
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LQR-Based Optimal Control of Inverted Pendulum System with State Estimation and Stability Analysis
Abstract: The inverted pendulum on a cart is a canonical benchmark problem in control systems engineering, capturing the essential challenges of stabilizing an inherently unstable, underactuated, and nonlinear plant. Classical Proportional-Integral-Derivative (PID) controllers, while widely employed in industrial practice, exhibit fundamental performance limitations when applied to such systems, primarily due to their inability to account for multivariable coupling, process noise, and the absence of a systematic optimization framework. This paper presents …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 31–43 Read article
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Enhancing Ship Roll Stabilization: Design of Active Fin Stabilizers Using Auto-Tuned PID Controllers
Abstract: The rolling motion of any type of mechanical system can be realized by the linear differential equation with some constant coefficient. In the domain of marine industries, it is observed that the stabilization of the ship’s roll motion is required due to the occurrence of the most unwanted water wave disturbances at the sea. It may cause serious types of damage to the equipment related to the ship. Active fin …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 18–31 Read article
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From Concept to Clinical Practice: A Detailed Review of Total Artificial Heart Devices
Abstract: Total artificial heart (TAH) devices are mechanical systems designed to take over the role of a failing heart in patients with severe heart failure. Unlike ventricular assistance devices (VADs), which only support one side of the heart, TAHs replace both ventricles, providing a possible solution for patients who cannot receive a heart transplant. Over time, TAH technology has evolved with a focus on improving biocompatibility, reducing complications related to the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 1–4 Read article
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Integrating AI and ML in Tribology: A Review of Current Trends and Future Prospects
Abstract: This review paper explores the growing integration of artificial intelligence (AI) and machine learning (ML) within the field of tribology. Tribology, the study of friction, wear, and lubrication, is crucial for Improving the performance and longevity of mechanical systems. This review explores the role of AI and machine learning techniques, including artificial neural networks (ANNs), support vector machines (SVMs), and physics-informed machine learning (PIML)can be used to solve difficult tribological …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 56–60 Read article
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Experimental Analysis of Wear Characteristics in Natural Fibre Composite Materials
Abstract: In mechanical systems, energy loss and material degradation due to attrition are frequently the consequences of sliding contacts, which frequently lead to premature system failure. In this study, at 50°C, 80°C, and 110°C, the hardness was tested; the results showed that the values were 350.7, 422.5, and 455.5 HV, respectively. After conducting a high-temperature wear test, the mass loss of the as-deposited composite coatings was assessed by an electrochemical approach …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 444–450 Read article
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Designing for Indoor Air Quality: Using Plants and Ecofriendly Materials
Abstract: This study’s main objective is examining passive design techniques that optimize energy efficiency, such as natural ventilation, daylighting, and thermal insulation. It explores their potential to reduce energy consumption and enhance occupant comfort while minimizing reliance on mechanical systems. Sustainability is a key focus throughout the study, highlighting the importance of adopting sustainable practices in the design and construction industry. The research explores strategies for reducing environmental impact, minimizing waste, …
Published in International Journal of Sustainability · Vol. 2, Issue 2, 2025 · pp. 13–20 Read article
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Development of Solar Powered Automatic Cotton Picking Machine Using Movable Robotic Arm: A Review
Abstract: Cotton harvesting is a labor-intensive process, with traditional manual methods being inefficient and costly. Mechanized systems, such as spindle pickers and strippers, offer higher productivity but are expensive, bulky, and prone to crop damage. Robotic cotton-picking systems, integrated with artificial intelligence (AI) and computer vision, provide a promising alternative for selective and precise harvesting. This review examines advancements in robotic arm-based cotton picking, focusing on boll detection using AI, challenges …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 Read article
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Prediction of Depth-Induced Stress Distribution and Maintenance Cost Implications for Submerged Structural Components
Abstract: This study investigates the influence of water depth on stress distribution and structural integrity of submerged mechanical components . Structural models fabricated from mild steel, stainless steel, carbon steel, and copper alloy were examined under hydrostatic loading corresponding to water depths between 30 cm and 150 cm. Results indicate that normal and shear stresses increased proportionally with depth due to intensified hydrostatic pressure. Mild steel exhibited the highest stress concentrations, …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 29–35 Read article
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High Efficiency Linear Motion Using Sequential Coil Electromagnetic Propulsion Train
Abstract: The Electromagnetic Propulsion Train project efforts on developing a model that proves linear motion using exactly controlled electromagnetic forces. Dissimilar conventional railway systems that depend on mechanical drives, traction motors, and wheel–rail friction, this model uses a coordinated arrangement of electromagnets positioned along the track to generate attractive and repulsive forces, which together produce the essential propulsion. This method reduces dependence on mechanical movement and highlights the possible of magnetic …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 32–39 Read article
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Symmetry Breaking in Mathematical Models: Bifurcation, Chaos, and Pattern Formation
Abstract: Symmetry breaking serves as a central organizing principle in the understanding of nonlinear systems across physics, biology, chemistry, and engineering. When a system transitions from a symmetric state to an asymmetric configuration, it often signals the onset of new structures, dynamic behaviors, or even chaotic regimes. This review explores symmetry breaking from the theoretical and mathematical perspectives of bifurcation theory, chaos theory, and pattern formation. We discuss how small parameter …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 25–30 Read article
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Design Optimization and Performance Analysis of Autonomous Drone Systems
Abstract: In recent years, drones have become indispensable tools across various industries, thanks to their versatility and wide-ranging applications. The fabrication of drones is a complex process that integrates multiple engineering disciplines, including mechanical design, electrical systems, aerodynamics, and software development. The meticulous design of the drone’s frame, taking into account factors such as weight, durability, and aerodynamic efficiency, marks the commencement of the fabrication process. The paper presented a comprehensive …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 21–30 Read article
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E-Empire: Brake & Acceleration In E-Cycle
Abstract: As e-cycles continue to gain momentum as an eco-friendly and efficient mode of transportation, understanding their key mechanical and electronic systems becomes even more vital. The report delves deeply into the nuances of braking mechanisms and acceleration technologies, emphasizing their roles in enhancing both safety and performance. By comparing mechanical disc brakes with hydraulic systems, it highlights the distinct advantages of each. For instance, hydraulic brakes, known for their superior …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 Read article