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383 articles for “High- Performance Drives”
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From Carbon to Composites: Evolution and Trends in Supercapacitor Technology
Abstract: Supercapacitors, also referred to as ultracapacitors, have become a crucial component in the landscape of energy storage technologies. They effectively bridge the gap between conventional capacitors and batteries, offering unique advantages such as high power density, rapid charge/discharge rates, and exceptional cycle life. These characteristics make supercapacitors indispensable for a wide range of applications, including consumer electronics, automotive systems, and renewable energy systems. This comprehensive review explores the evolution of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 61–67 Read article
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Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Design and Analysis of Dual Band Triangular Slotted Microstrip Patch Antenna for GPS and WLAN Application
Abstract: AbstractIn this paper, design of a dual operated microstrip patch antenna is presents. The dual-operation frequencies are chosen for UMTS/GPS and WLAN bands. A microstrip square patch antenna is designed which is excited by a microstrip line feed from the bottom of the antenna. An epoxy glass FR4 material is used as a substrate in the designing of antenna. The antenna is first modified in inverted U-shaped design to operate …
Published in Journal of Microwave Engineering and Technologies · Vol. 6, Issue 2, 2019 · pp. 1–5 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 386–407 Read article
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Artificial Intelligence–Assisted Reduced-Order Modeling and Stability Control in Granular Couette Flow
Abstract: This study develops a reduced-order and stability-aware modeling framework for dense granular Couette flow by integrating continuum mechanics, bifurcation analysis, and data-driven stability estimation. Starting from coupled governing equations for momentum, granular temperature, and microstructural evolution, the system is nondimensionalized and reduced using a Galerkin projection consistent with shear-driven boundary conditions. This yields a low-dimensional nonlinear dynamical system that preserves the essential coupling between velocity, fluctuation energy, and structural relaxation. …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 3, 2026 Read article
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Performance and Reliability Analysis of NAND Flash Memory through Characterization
Abstract: An extensive review of NAND flash memory technology is given in this study, with an emphasis on its design, guiding principles, and most recent developments. The importance of NAND flash memory in contemporary digital storage systems is discussed in general terms, emphasizing how widely used it is in everything from consumer electronics to business storage solutions. The underlying architecture of NAND flash memory, including the arrangement of memory cells, pages, …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 21–27 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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An Innovative Approach to Find the Optimum Lubricant for Diverse Applications Based on Scikit-Learn Library Using Python
Abstract: This paper presents an innovative approach for finding the optimum lubricant using the Scikit-learn library in Python. The proposed approach uses a linear regression model to analyze a dataset of lubricant properties and performance, specifically the viscosity, wear, and friction. The model is trained on the dataset to predict the wear and friction for a given viscosity, which can be used to identify the optimum lubricant. By analyzing a dataset …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 25–35 Read article
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Performance Evaluation of Brushless DC Motor during Sinusoidal and Trapezoidal Back-EMF Waveform
Abstract: Due to increasing popularity and wide application in the drive system BLDC motor is widely used. An undesirable signal in the brushless dc motor is a ripple in torque, which is in challenging motor control and some machine tools. This article represents the performance evolution of BLDC motor by using the sinusoidal and trapezoidal back EMF waveform for getting the efficient operation of BLDC motor drives. In sinusoidal back EMF …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 14–22 Read article
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Advancements in Agricultural Forecasting: A Review of Machine Learning Based Crop Yield Prediction
Abstract: Agricultural productivity plays a critical role in global food security, and accurate crop yield prediction is essential for optimizing resource allocation and decision-making in farming. The rapid advancements in Machine Learning (ML) and Deep Learning(DL)have transformed agricultural forecasting, enabling data-driven approaches for crop prediction. This review paper provides a comprehensive analysis of various ML and DL techniques applied in crop yield forecast, highlighting the ineffectiveness, challenges, and future directions. The …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 32–38 Read article
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Development of a Durable Superhydrophobic EP/PDMS Coating Reinforced with Micro-CaCO₃ and Nano-ZnO for Enhanced Corrosion Protection and Multifunctional Performance on Carbon Steel
Abstract: Balancing exceptional multifunctional performance with mechanical robustness in micro-nano composite films remains a significant challenge for practical applications. In this work, a superhydrophobic coating reinforced with micro-CaCO₃ and nano-ZnO particles was fabricated through a versatile single-step brushing method. The optimized EP/PDMS@micro-CaCO₃/nano-ZnO coating achieved a water contact angle (WCA) of 173.54° ± 2.53° and a sliding angle (SA) of 1.50° ± 1.12°. Owing to its carefully engineered micro-nano hierarchical structure, the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 216–238 Read article
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Development of Lightweight Chassis and Efficient Drivetrain for Formula Student Applications
Abstract: The chassis and drivetrain of a Formula Student vehicle are designed, analyzed, and optimized in this research study with an emphasis on manufacturability, performance, and safety. The project emphasizes the use of advanced engineering tools such as SolidWorks for computer-aided design (CAD) and ANSYS for structural analysis to evaluate the chassis under various dynamic conditions. The primary objective is to ensure that the driver remains safe inside the cockpit while …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 1–17 Read article
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User Review-Driven Recommendation Model for E-Scooter Selection
Abstract: In the era of rising environmental awareness and the growing emphasis on sustainable mobility practices, electric scooters (e-scooters) have gained significant popularity as an efficient and eco-friendly alternative to conventional modes of transport. Their ability to reduce carbon emissions, minimize traffic congestion, and offer cost-effective commuting solutions has made them highly attractive, particularly in urban environments. However, with the rapid expansion of the e-scooter market, consumers are faced with an …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 6–16 Read article
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Design and Manufacturing of Suspension and Steering System of a F3 Vehicle
Abstract: The suspension and steering systems are critical subsystems of any formula-style racing vehicle, directly influencing its stability, handling, and driver safety. This paper focuses on the design, analysis, and manufacturing of suspension and steering systems for a Formula Student F3 vehicle. The primary objective is to develop a lightweight, reliable, and efficient design that complies with Formula Student competition rulebooks while ensuring optimum ride quality and performance. Using advanced computer-aided …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 1–12 Read article
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Optimizing Urban Mobility with AI-Based Traffic Management
Abstract: Urban mobility is a pressing concern in modern cities, plagued by issues like traffic congestion and pollution. This research involves, "Optimising Urban Mobility with AI-based Traffic Management", delves into the potential of Artificial Intelligence (AI) to revolutionize traffic management. Focusing on AI algorithms, data analytics, and sensor technologies, the research aims to enhance traffic flow, reduce congestion, and improve overall efficiency. Through statistical analysis and simulations, the research evaluates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 34–43 Read article
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Simulation of Electric Vehicles DC Engine Performance
Abstract: This works develops a simulation model to predict the performance of direct current electric motors for electric vehicles (EV), mainly focused on the required power and mechanical torque as a function of the driving conditions. The simulation, therefore, has been based on the dynamic conditions of the electric vehicle to reproduce the current driving in urban routes or intercity travels. The model has been applied to synchronous and asynchronous transmission …
Published in Journal of Automobile Engineering and Applications Read article
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Silent Submarine Propulsion with High-Efficiency Magnetohydrodynamic Drive
Abstract: Magnetohydrodynamic (MHD) propulsion is an exciting technology that can be easily incorporated into a new submarine or existing one can also be upgraded by replacing the propeller drive with a MHD drive without difficulty. This new technology would provide many advantages like a stealth operation, no cavitation, greater maneuverability, increased payload, addition of an emergency drive system, etc. The design of an MHD motor is very simple and consists of …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 41–55 Read article
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Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
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AI-Driven Optimization of Biopolymer Composite Formulations Using IoT Data Streams
Abstract: Biodegradable polymer composites have emerged as a sustainable alternative to petroleum-based materials in packaging, biomedical, and structural applications. However, traditional formulation techniques for reinforced polymer composites often lack precision and fail to adapt to real-time variations during processing, resulting in suboptimal material performance. This research proposes a real-time AI-IoT-enabled framework to optimize biopolymer composite formulations. The goal is to intelligently tune composite properties such as mechanical strength, moisture resistance, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 85–100 Read article