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22 articles for “Pipe Flow Systems”
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Advances in Pipe Flow Systems, Turbulence, and Combustion Processes in Fluid Mechanics
Abstract: Fluid mechanics plays a critical role in the design and optimization of engineering systems involving fluid transport, energy conversion, and thermal processes. This review presents recent advances in pipe flow systems, turbulence behavior, and combustion processes, highlighting their interdependence in modern applications. Pipe flow systems are essential in industries such as water distribution, oil and gas transport, and chemical processing, where flow characteristics are influenced by factors such as pressure, …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 1–7 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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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
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PCM with Multiple Node Injections
Abstract: Phase-Changing Materials (PCM) are currently being investigated for use as heat storage in solar energy applications. To analyze the temperature profile, morphing tree structures are used to simulate the melting algorithm of Phase Changing Material with increasing branch numbers. The melting behavior is simulated for invading lines of heat, which range from single-lined, zero branch insertions, to insertions with two branched lines. The research aims to address the growing demand …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 1, 2024 · pp. 2–7 Read article
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Intelligent Water Distribution Management using IoT
Abstract: Water plays a vital role in agriculture, making its efficient management essential for sustainable crop production. However, undetected leaks in irrigation systems can result in significant water loss, irregular watering of fields, soil degradation, and reduced crop yield. Conventional methods like manual inspection are not only labor-intensive but also ineffective in identifying leaks promptly – emphasizing the need for a smarter and automated approach to water monitoring. To address this …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 18–27 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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CFD Analysis: Double Pipe Heat Exchanger, Latent Heat Storage, and BIM-CFD Integration
Abstract: This is a review work covering four research papers. Heat exchangers transport thermal energy across fluids; research in SolidWorks 2014 compared flow simulation to the effectiveness-NTU approach. Slow PCM charging/discharging is a global concern in latent heat storage; research on the influence of flow rate and temperature on melting and solidification durations discovered efficiency in a triple tube heat exchanger design. Advances in computational fluid dynamics for forecasting separated flows …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
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Multiphysics Simulation and Thermal Characterization of VVER-1200 Steam Generator for Optimized Heat Transfer and Structural Integrity
Abstract: VVER-1200 is a Russian design reactor which consist of Two circuits comprising reactor core, piping, vertical steam generator, pressurizer, active and passive safety systems, turbine and generator. This reactor involves single phase flow from reactor core to steam generator (SG) where high pressurized water exchanges heat with normal water resulting in steam production. The flow is turbulent, which enables maximum efficiency to heat transfer. Using ANSYS Workbench's multi-physics simulation capabilities, …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 7–15 Read article
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Hierarchical Computational Modeling of Physical Structure Across Quark, Nuclear, and Atomic Scales
Abstract: We present a modular, multi-scale computational framework that integrates physical modeling and visualization across quark, nuclear, and atomic scales within a unified pipeline. Developed to address the traditional fragmentation between sub-nucleonic, nuclear, and electronic representations, the system provides a continuous data flow and visualization bridge spanning from femtometers to ångströms. The framework consists of three primary modules: a particle-level module illustrating nucleons as confined quark-triplets with effective flux-tube geometries; a …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 Read article
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Currents, Waves, and Whirls: An Academic Exploration of Fluid Mechanics
Abstract: Fluid mechanics investigates the behavior of liquids and gases in motion and at rest, revealing the principles that control natural occurrences and engineering systems alike. This article gives an easy review of essential concepts such as fluid characteristics, pressure, flow patterns, and the contrast between laminar and turbulent flow. It explores how fundamental rules, including conservation of mass and energy, impact the transport of fluids across varied settings. Through real-world …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 8–13 Read article
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Bioenhancer to Boost Herbal Drug Efficacy
Abstract: Bioenhancers are natural substances that significantly improve the absorption, bioavailability, and therapeutic efficacy of drugs when co-administered, without showing notable pharmacological activity of their own. In herbal medicine, the concept of bioenhancement has received growing attention as many phytoconstituents exhibit low oral bioavailability due to poor solubility, limited permeability, and extensive first-pass metabolism. The traditional Ayurvedic system first introduced this concept through the discovery of Piperine, the active alkaloid from …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 Read article
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Guanidine as a Starting Material for Preparing a Scale Inhibitor
Abstract: Oilfield scale inhibition, which can obstruct fluid flow in pipelines, valves, and pumps during oil production and processing, is critical for preventing scale formation. Effective scale inhibitors (SIs) minimize downtime and enhance productivity by preventing the build-up of insoluble crystals in water systems. In oil processing, scale formation results from the precipitation of salts due to incompatible aqueous phases, leading to equipment blockage. Phosphonates are highly effective chelating agents for …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 15–28 Read article
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Heat Absorption and Conversion Thermal Efficiency Analysis on Mass Concrete Embedded Water Pipes as Permanent Roof
Abstract: The solar thermal storage ability of Concrete roof structures was analysed by placing water pipes made of Galvanized pipes embedded inside the top plaster. The performance parameters such as the inlet and outlet water temperatures, ambient temperature and solar radiation has been recorded and indicates positively on embedding this system in to real time roof structures. Studies were carried out at Aluva, South West India (10.1004° N, 76.3570° E). The …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 22–27 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
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Design and Implementation of an IoT-based Traffic and Parking Management System Integrated with GIS for Urban Environments
Abstract: As urbanization accelerates, managing traffic flow and parking availability has become increasingly challenging. This article presents the design and implementation of an internet of things (IoT)-based traffic and parking management system integrated with geographic information systems (GIS) to address these challenges in urban environments. The proposed system utilizes a network of IoT sensors to monitor traffic flow, congestion levels, and parking space availability in real time. The data collected by …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 23–32 Read article
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Fluent Simulation & Analysis of Earth Heat Exchanger with Air as a Cooling Medium
Abstract: Because of the temperatures differential between the environment and the subsurface, an Earth Air Tube Heat Exchanger (EATHE) uses the thermal energy of the ground for air conditioners in the winter and air cooling in the summer. Everyone can lower the amount of energy needed for space heating or cooling with the aid of EATHE. However, it is challenging to create precise energy simulations and designs for calculating surface heat …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 1, 2024 · pp. 18–26 Read article
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Machine Learning Optimization for VARTM Carbon Polymer Laminates
Abstract: Vacuum-assisted resin transfer moulding (VARTM) is a key low-cost, out-of-autoclave process for manufacturing large-scale carbon-fibre reinforced polymer (CFRP) laminates crucial to aerospace wings, wind-turbine blades, marine hulls, and automotive structures. Unpredictable resin flow often leads to voids, dry spots, and race-tracking defects, resulting in 27.9% scrap rates and lengthy, costly trial-and-error design cycles. Although surrogate models provide rapid impregnation predictions for simple flat-plate geometries, vision-based monitoring is limited to idealized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–245 Read article
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Leak Location Detection in Underground Pipeline Using Transient Pollutant Propagation Concentration Signature Analysis with Theory of Hypernumbers
Abstract: The paper introduces a new analytical method of detecting leakage locations in underground pipe systems. For the first time, the phenomenon of pollutant backflush through leaks in liquid transport systems is used for algorithmic leak location identification. The paper compares the proposed concept with known monitoring methods. The theoretical analysis of the method's capability to increase leak localization distance and detect the location of tiny holes in pipelines is provided. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 13–22 Read article
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The Effect of Dynamics and Mass Transfer Limitation on the Kinetic Growth Rate of Methane Gas Hydrates
Abstract: Hydrate management aims to prevent impediments to fluid flow in pipes caused by hydrate deposition. To achieve this goal effectively, a comprehensive understanding of the thermodynamics and kinetics of hydrate formation is essential for predicting their equilibrium conditions, quantifying the amount of deposition, and estimating the associated risk. Hydrate growth studies are a relatively new field, and independent laboratory experiments have shown that hydrate growth is controlled by heat transfer, …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 76–84 Read article
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Acoustic Sensing for City Flow: Quasi-Supervised Recognition of Sirens and Traffic for Urban Mobility Intelligence
Abstract: This paper frames environmental audio as a mobility telemetry source, extending a benchmark urban-sound corpus with transportation-critical classes—ambulance, firetruck, police, and traffic—and training spectrogram-based models under a quasi-supervised regime to support real-time city operations; leveraging 10-fold protocols, class-weighted objectives, and audiospecific augmentations (time stretch, pitch shift, SpecAugment, PatchAugment), the system benchmarks multiple CNN backbones combined with self-supervised learning paradigms enable the extraction of rich, discriminative acoustic representations, achieving strong multi-class …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 42–50 Read article