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300 articles for “maintenance”
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Energy-Efficient Thermal Management: Advanced Cooling Techniques for Electronics, Automotive, and Aerospace Applications
Abstract: The growing demand for energy-efficient systems across diverse industrial sectors, including electronics, automotive, aerospace, and renewable energy, has elevated the importance of advanced thermal management techniques. Effective heat dissipation is critical not only for maintaining optimal operating conditions in electronic devices but also for enhancing the performance and reliability of broader energy and mechanical systems. Inadequate thermal management can compromise energy efficiency, reduce component lifespan, and increase environmental impact. This …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
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Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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IoT Sensors to Monitor Pipeline Pressure and Flow Rate Combined with ML-Algorithms to Detect Leakages
Abstract: In the field of fluid mechanics, pipelines are the lifeblood of industries, transporting everything from natural gas and oil to water and chemicals. Maintaining their integrity is paramount for safety, economic efficiency, and environmental protection. Traditional leak detection methods explained in fluid mechanics can be slow, expensive, and sometimes fail to identify small leaks early enough to prevent significant damage. However, the convergence of Internet of Things (IoT) and Machine …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
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Computational Intelligent Techniques for Enhancing the Capabilities and Efficiency of Smart Water Meters
Abstract: In recent years, the realm of smart water meters has undergone a transformative evolution driven by the integration of computational intelligent techniques. This research work embarks on an exploration of the multifaceted applications of these techniques, delving into their profound impact on enhancing the functionality and efficiency of smart water meters. The convergence of artificial intelligence (AI) and machine learning (ML) algorithms with smart water meters presents a paradigm-shifting opportunity …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 66–74 Read article
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Photonic Polymer Composites for Light-Modulating Displays and High-Throughput Optical Data Transmission
Abstract: The combination of PMMA-based composites recently received substantial attention from the photonic applications field since these materials combine excellent optical transparency, mechanical flexibility and straightforward fabrication capabilities. The material performance of pure PMMA requires functional additives because it shows limited thermal properties and optical attenuation in addition to sensitivity against UV rays. The research explores developmental pathways for PMMA composites through combined use of nanoparticles and electro-optic polymers with dopants …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 838–860 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitate the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Thermal Engineering and Applications · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Innovative Applications of Smart Materials in Aviation: A Comprehensive Review
Abstract: Smart materials are transforming the aviation industry by offering innovative solutions that enhance performance, safety, and sustainability. The use of smart materials can enhance the efficiency, safety, and longevity of aerospace structures by sensing, responding, and adjusting to environmental changes in real time. The objective of this review is to examine how smart materials can be used in aviation, especially in the field of sensor networks, control systems, and structural …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 114–132 Read article
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Evolution of Lean Manufacturing in Mechanical Industries: From Traditional Tools to Digital Transformation
Abstract: Lean manufacturing has long been a foundational strategy for enhancing productivity, reducing operational waste, and improving overall efficiency in mechanical industries. Initially developed as part of the Toyota Production System, lean principles focused on eliminating non-value-adding activities and streamlining processes using a set of well-established tools such as 5S, Kaizen, Kanban, and value-stream mapping. Over the decades, these principles have been adopted and refined globally, particularly within the mechanical sector, …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 13–18 Read article
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Polymer Chemistry-Driven Design of a Severable Dental Prophylaxis Instrument: Leveraging PEEK and Composites for Enhanced Functionality
Abstract: Polymer chemistry unlocks new possibilities for dental prophylaxis instruments by leveraging molecular design for enhanced functionality. This study explores Polyether Ether Ketone (PEEK), a semi-crystalline thermoplastic, in a novel instrument with a severable working end, featuring a tubular structure with internal screw threads (0.5–0.8 cm) anchoring replaceable elements via a threaded mechanism. PEEK’s aromatic backbone, alternating ether and ketone groups, yields a tensile strength of ~100 MPa, chemical inertness against …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 869–877 Read article
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Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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Short Circuit Protection System for Electrical Vehicle (EV) Safety with GSM Module
Abstract: The safety of electric vehicles' (EVs') vital components against overheating has become a top priority for both manufacturers and users as EVs continue to grow in popularity worldwide. Important parts like batteries, power electronics, and charging systems run the risk of overheating, which can have a number of detrimental effects, including thermal runaway, which presents major safety risks like fires or explosions. Overheating can also lead to decreased efficiency, deteriorated …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 18–22 Read article
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Robotic Arm Using Color Sorting Algorithm
Abstract: *Author for CorrespondenceDeokar AdityaE-mail: adityadeokar0007@gmail.com1Dean Academics, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India2Research Scholar, Department of Computer Technology, Sanjivani K. B. P. Polytechnic, Kopargaon, Maharashtra, IndiaReceived Date: April 03, 2025Accepted Date: April 22, 2025Published Date: May 09, 2025Citation: K.P. Jadhav, Deokar Aditya, Dushing Sushant, Gaikwad Om, Garbhe Prathamesh. Robotic Arm Using Color Sorting Algorithm. Journal of Mechatronics and Automation. 2025; 12(2): 8–16p.Industrial and commercial applications form part …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 8–16 Read article
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Smart Service Solutions AI: AI-driven Multimodal Search for Home Appliance Support
Abstract: The global home appliance services market is projected to reach USD 1,203.11 billion by 2032, driven by smart household appliances. Essential services like installations, maintenance, and repairs ensure optimal performance and longevity, leading to higher customer satisfaction and loyalty. The service station partner ecosystem is crucial for ongoing support and profitability. However, challenges such as identifying the right manuals, finding relevant parts, and providing accurate instructions must be addressed to …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 27–43 Read article
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IoT-Based Manhole Detection and Monitoring System
Abstract: Urban drainage systems face numerous challenges, including blockages, harmful gas accumulation, and flooding, which pose risks to public safety and environmental health. This project introduces an IoT-enabled solution designed to monitor and address these issues efficiently. The system incorporates sensors to detect critical parameters such as gas levels, temperature, water presence, and nearby obstacles. A unique lifting mechanism ensures the hardware adapts to challenging conditions, maintaining uninterrupted operation. The system …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 1–6 Read article
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A Comprehensive Survey on IoT-Enabled and Hand Gesture Controlled Robotic Arm Using Blynk IoT and OpenCV
Abstract: This venture presents an IoT-enabled and hand gesture-managed robot arm that operates in three distinct modes: automated control, IoT-based control via the Blynk app, and gesture-based control using OpenCV. The gadget integrates a NodeMCU microcontroller for wireless verbal exchange and management, with MQTT protocol enabling real-time messaging among the devices. In automated mode, the robotic arm plays predefined tasks autonomously. In IoT mode, users can remotely manage the arm using …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 35–40 Read article
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Smart HVAC Systems: The Role of IoT and AI in Energy Optimization
Abstract: Heating, ventilation, and air conditioning (HVAC) systems are crucial for maintaining interior comfort and air quality in all types of buildings. However, they also rank among the highest energy users in the built environment. Traditional HVAC systems are evolving into intelligent, networked systems through the integration of Internet of Things (IoT) and artificial intelligence (AI) technologies, as energy efficiency and sustainability become increasingly important across the globe. This review article …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
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Formulation and Evaluation of Herbal Face Serum
Abstract: The cosmetics industry has witnessed steady growth over the past decade, driven largely by an expanding youth demographic. Globally, women are increasingly conscious of their skin focusing not only complexion improvement but also wrinkle reduction and the maintenance of a youthful, radiant appearance. This trend has stimulated rising demand across a wide range of skincare products. In response, the objective of this study is to formulate, develop, and evaluate an …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 3, 2025 · pp. 30–40 Read article
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Smart Solar Garage with PSO-Based Optimization for Energy and Vehicle Performance
Abstract: The swift growth of electric mobility, coupled with a rising global focus on sustainable energy, has propelled the advancement of smart garages that incorporate renewable energy, the Internet of Things (IoT), and sophisticated optimization methods. These systems aim to reduce energy waste, boost operational efficiency, and aid in the development of smart, eco-friendly urban infrastructure. This paper outlines the design and execution of a Smart Solar Garage that utilizes Particle …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 6–18 Read article
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Digital and Sustainable Innovations for Zero-Waste Manufacturing
Abstract: The integration of digital technologies and sustainable practices in manufacturing is crucial for addressing global issues like resource depletion, pollution, and waste. Zero-waste manufacturing has emerged as a transformative approach to minimize environmental impact and boost production efficiency. This paper explores how digital and sustainable innovations support this goal. Industry 4.0 technologies— such as IoT, AI, Big Data, and robotics—enable real-time monitoring, predictive maintenance, and optimized resource use. Sensors and …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 3, 2025 · pp. 34–42 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article