flow
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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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Experimental Investigation of Mechanical Properties of AR Glass Fibre Reinforced Self Compacting Concrete
Abstract: The plain cement concrete has brittle in nature and low tensile strength. Self-Compacting Concrete (SCC) is an efficient choice in construction because of its inherent capacity to fill gaps and flow without the need for external vibration. The necessity of self-compacting concrete can be recognized by seeing the growing issue of a trained labour shortage in the building sector. The advantage of SCC is that it allows for an earlier …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 69–79 Read article
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Numerical Investigation of Heat Transfer Enhancement in Micro-Channel Cooling Using Finite Element Analysis
Abstract: Due to the enormous heat fluxes emitted by modern electronic chips, there is a persistent need to enhance the efficiency of cooling systems. This study's focus is on optimizing heat transfer in micro-channel heat sinks that use liquid cooling. Geometric changes and the use of nano-fluids as coolants in place of water are performed to achieve this goal with little energy consumption. Numerical analysis of pipe micro-channel fluid flow and …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 36–44 Read article