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31 articles for “Predictive Maintenance”
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Thermal Dynamics and Kinetic Modelling of Cryogenic Fuels in Aerospace and IndustrialApplications
Abstract: Cryogenic fuels are critical for high-speed aerospace and industrial applications, where efficient handling, storage, and usage are paramount for performance and safety. This study explores the thermal dynamics and kinetic modeling of cryogenic fuels, focusing on liquid handling systems and propellant technologies. Utilizing computational fluid dynamics (CFD) analysis, the research evaluates the behavior of cryogenic liquids within insulated vessels under extreme temperature conditions, identifying key parameters that influence thermal stability …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 10, Issue 2, 2024 Read article
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The Impact of CAM on Digital Twin Technology inManufacturing Systems
Abstract: The integration of Computer-Aided Manufacturing (CAM) and Digital Twin technology is revolutionizing the manufacturing landscape by bringing together the strengths of process automation, real-time monitoring, and predictive analytics. CAM, which has long been used to optimize machining processes, automate toolpath generation, and control production workflows, plays a vital role in improving manufacturing efficiency and precision. On the other hand, Digital Twin technology, which creates a virtual replica of physical systems, …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 6–10 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Unlocking Insights, Optimizing Processes: A Review Of Machine Learning In Action
Abstract: Machine learning (ML) has become a disruptive technology with applications in many different fields and sectors. Machine learning techniques are transforming the way data is examined, patterns are found, and decisions are made in a variety of industries, including healthcare, finance, manufacturing, and transportation. ML is improving drug discovery, treatment strategies, and diagnostics in the healthcare industry. In the financial sector, this means maximizing risk mitigation, credit scoring, and fraud …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 14–22 Read article
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Advancements in Manufacturing Techniques for High-performance Fiber-reinforced Composite Materials
Abstract: This article explores the recent advancements in manufacturing techniques for high-performance fiber-reinforced composite materials. Composite materials have gained significant attention in various industries due to their exceptional mechanical properties, lightweight nature, and design flexibility. The continuous development of manufacturing methods has enabled the production of composites with improved performance, increased productivity, and reduced costs. This article reviews key manufacturing processes, such as automated fiber placement, resin transfer molding, and additive …
Published in International Journal of Composite and Constituent Materials · Vol. 9, Issue 1, 2023 · pp. 35–42 Read article
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Simulation of Sediment Deposit and Maintenance Requirements for Sani- Abacha Road Culvert, Rivers State, Nigeria
Abstract: Empirical model of sediment yield equation was applied to develop the sediment deposit monitoring equation of the Sani-Abacha road culvert. The culverts were selected based on field observation of continuous overflow, road overtopping and channel contraction in the course of heavy storm due to sediment built up within and inside the culvert barrel. The result of the assessment shows that the way sediment load varies with discharge is consistent and …
Published in International Journal of Water Resources Engineering · Vol. 3, Issue 2, 2017 · pp. 81–90 Read article
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Implementation of Airport Construction Management
Abstract: In this article, Micro PAVER is used to analyze present condition of Neil Armstrong airport facilities. It also predicts the future condition and develop ways for pavement maintenance based on available funds and conditions. The airport infrastructure system is divided into several networks, branches, sections, sample units and the types, severity of distresses are identified for those units. Weather, traffic and maintenance are considered to develop prediction model for pavement …
Published in International Journal of Construction Engineering and Planning · Vol. 5, Issue 2, 2019 · pp. 64–75 Read article
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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Optimization of Effects of FMEA to Enhance Quality and Efficiency of CNC Machines in Valve Manufacturing Industry
Abstract: Failure mode and effects analysis (FMEA) is a systematic method for identification and preventing problems of products and process before its occurrence. FMEA focus on preventing defects, enhancing safety and increasing customer satisfaction. The FMEA needs to define parameters such as Severity (S), Occurrence (O), Detection (D) and Risk Priority Number (RPN). The conventional FMEA and grey relational analysis approaches are applied in this work. The rankings of the failure …
Published in International Journal of Computer Aided Manufacturing · Vol. 3, Issue 2, 2017 · pp. 11–20 Read article
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Advancements in Material Science for Prolonging Service Life in Steam Turbine Components: A Review
Abstract: The longevity and performance of steam turbine components, which are essential assets in the infrastructure for power generation, are being greatly enhanced by advances in material science. This paper examines recent advancements made with the goal of using innovative materials and coatings to increase the longevity and effectiveness of turbine components. This review's scope includes an examination of cutting-edge materials, including composites, high-performance alloys, and ceramics, that are designed to …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 1, 2024 · pp. 23–28 Read article
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Conversion of Heat Absorbed (Waste Heat) in a Building for Electricity Generation Using a Thermoelectric Generator
Abstract: This study investigates the feasibility of thermoelectric generators (TEGs) for recovering waste heat from building systems and converting it into electrical energy through the Seebeck effect. A journal-scale simulation framework integrating ANSYS thermal modeling with MATLAB/Simulink electrical analysis was developed to evaluate TEG deployment on building envelope surfaces at the Federal Polytechnic Nyak Shendam, Nigeria. Results demonstrate a proportional increase in electrical output with rising temperature gradients, confirming predictable thermoelectric …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article