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154 articles for “flow optimization”
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RTL-to-GDSII Flow Optimization for Low-Power 32-bit RISC-V Processor
Abstract: This paper presents the implementation and optimization of a 32-bit RISC-V processor, transitioning from Register Transfer Level (RTL) design to final GDSII using Synopsys Fusion Compiler over 32nm technology node. The processor architecture is based on the RV32I base instruction set and incorporates a 5-stage pipeline to achieve a balanced trade-off between performance and design complexity. The design methodology involved RTL synthesis, gate-level netlist generation, and successive physical design stages …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 3, 2025 · pp. 1–10 Read article
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Liquid-Cooled Battery Thermal Management System: A Numerical Investigation of Effect of Coolant Path and Flow Rate Optimization
Abstract: Battery thermal management system (BTMS) is crucial for ensuring the safety and performance of battery packs in electric vehicles. Liquid cooling is one of the most effective methods for BTMS, but the choice of coolant, fluid path and its flow rate can affect the heat transfer efficiency and the pressure drop. In this paper, a numerical simulation of a liquid-cooled BTMS using three designs with water as a coolant has …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 11–18 Read article
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Maximizing Flow and Ensuring Leak Tightness Through Design and Development of a Unidirectional Check Valve
Abstract: The check valve market, valued at USD 6.5 billion in 2024, is expected to grow at a 4.1% CAGR. Challenges in valve seat materials, particularly SS304 and PTFE (Teflon), contribute to a 0.5% leak rate, which leads to helium gas loss, reduced efficiency, and higher operational costs. While various sealing techniques, including hard-on-soft methods, have been explored, few have been applied to poppet check valves. This study focuses on improving …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 10–18 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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Development and Optimization of Orally Disintegrating Tablets (ODTs) Containing Standardized Curcumin Extract for Enhanced Bioavailability and Patient Compliance
Abstract: This research centers on creating and perfecting orally disintegrating tablets with standardized curcumin extract to both increase its bioavailability and promote better patient adherence. Although curcumin has numerous therapeutic applications. It remains clinically ineffective due to its poor aqueous solubility and bioavailability constraints. The development of orally disintegrating tablets involved direct compression with various levels of superdisintegrants including sodium starch glycolate and cross povidone to address existing challenges. Research teams …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 1–06 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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AI-Assisted Optimization of Supersonic Airfoil Shapes Using CFD Coupling
Abstract: This paper presents a novel framework for optimizing supersonic airfoil geometries through integrated artificial intelligence and computational fluid dynamics coupling. Traditional gradient-based optimization methods for high-speed aerodynamic shapes suffer from computational expense and convergence difficulties in non-convex design spaces. The proposed methodology employs a deep neural network surrogate model trained on high-fidelity Reynolds-Averaged Navier-Stokes solutions to approximate aerodynamic performance metrics across the design space. A hybrid particle swarm-genetic algorithm searches …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 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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Optimization and CFD Analysis of Fin-Enhanced Cooling Systems for Improved PV Efficiency
Abstract: This study is about optimizing and doing a CFD (Computational Fluid Dynamics) analysis of fin-enhanced cooling systems to improve the efficiency of photovoltaic (PV) systems. Photovoltaic (PV) panels are sensitive to temperature changes; the temperature influences the performance and lifespan of these panels. High temperatures cause their electrical output to reduce, thereby limiting their performance. In order to address this problem, several coolants such as air, liquid, phase change materials, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 1, 2025 · pp. 19–29 Read article
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AI and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 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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Optimizing RFID-Based Toll Gate System: A Novel Approach to Reducing Latency and Enhancing Traffic Flow
Abstract: This study presents a novel approach aimed at boosting the efficiency of Radio Frequency Identification (RFID) based toll gate systems. Traditional RFID-based toll gates function by reading the RFID data from the vehicle, fetching the corresponding user information from a centralized server, and subsequently deducting the toll amount from the user’s account. This process, while effective, inherently introduces a latency period. This latency, particularly during peak hours, can result in …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 41–50 Read article
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Statistical Modeling of Heat Transfer and Fluid Dynamics: Application in Mechanical Engineering Design
Abstract: Understanding and optimizing the intricate processes involved in heat transfer and fluid dynamics—two concepts essential to mechanical engineering design—require statistical modeling. Engineers can forecast, regulate, and enhance the performance of systems including heat exchangers, turbines, cooling mechanisms, and different fluid machinery by using statistical approaches. In order to address uncertainties, variability in material properties, boundary conditions, and operational parameters, this work investigates the integration of statistical modeling tools in the …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 18–22 Read article
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Yoga and Neural Health: Enhancing Brain Function Through Postural Alignment
Abstract: Correct posture significantly influences neural function and brain health by ensuring optimal alignment of the spine and nervous system. Poor posture disrupts neural communication, impairs blood flow, and affects cerebrospinal fluid (CSF) circulation, leading to adverse effects on cognitive performance, emotional regulation, and overall brain health. This study examines the physiological connection between posture and neural health, emphasizing its impact on cognitive function, mood, and neuroplasticity. Using a mixed-methods approach, …
Published in Recent Trends in Sports · Vol. 2, Issue 1, 2025 · pp. 24–28 Read article
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Determining the Optimal Thickness of Canal Lining for Enhanced Durability and Efficiency
Abstract: The thickness of canal lining plays a crucial role in preventing soil erosion caused by the thrust of water exerted in the canal due to standing water and the velocity of water flow. An optimally designed lining must be robust enough to withstand these forces while ensuring minimal seepage and maintaining the structural integrity of the canal. Various materials are used for canal lining, each with its own advantages and …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 2, 2024 · pp. 44–49 Read article
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Revolutionizing Material Flow and Handling: Industry 4.0 Integration in Logistics Management
Abstract: The integration of Industry 4.0 technologies has become pivotal in reshaping material flow and handling paradigms within logistics management. This paper presents an in-depth analysis of this transformative phenomenon. Industry 4.0's emergence has heralded an era of unprecedented automation, seamless data exchange, and cutting-edge technologies, fundamentally altering conventional logistics practices. Through an extensive review of recent literature, this study meticulously examines the profound impact of Industry 4.0 on material flow …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 24–34 Read article
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MHD-Assisted Flow Regulation of Viscoelastic Polymer Fluids for Industrial Cooling and Composite Fabrication with Isotherml Plates
Abstract: This study investigates the magnetohydrodynamic (MHD) regulation of viscoelastic polymer fluid flow over a permeable plate, emphasizing its relevance to industrial cooling and composite fabrication. An incompressible, electrically conducting viscoelastic fluid is analyzed under a transverse magnetic field with Hall and ion-slip effects to capture electromagnetic alterations in polymer transport. The governing non-dimensional equations for momentum, temperature, and concentration are solved analytically using the perturbation method. The results show that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 851–866 Read article
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MAC Unit Implementation on FPGA
Abstract: Multiply–accumulate (MAC) computations account for a large part of machine learning accelerator operations. The pipelined structure is usually adopted to improve the performance by reducing the length of critical paths. An increase in the number of flip-flops due to pipelining, however, generally results in significant area and power increase. Using this method, we create and build a cutset-free feedforward MAC architecture that maximizes data propagation and removes superfluous pipeline registers. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 29–37 Read article
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Harnessing the Healing Potential of Khamira Abresham Hakim Arshad Wala in the Management of Different Health Conditions
Abstract: Khamira Abresham Hakim Arshad Wala (KAHAW) is a potent Unani remedy that plays a vital role in fortifying the body's vital organs and efficiently reducing free radicals by enhancing levels of antioxidant enzymes. The term 'Khamira' originated from the Unani system of medicine and was first introduced by the esteemed Hakeem during the Mughal period. This preparation involves incorporating herbal drugs into a base (Qiwam) containing sugar or honey, resulting …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 1, 2024 · pp. 7–13 Read article
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Traffic Management System using Divider Shifting Mechanism
Abstract: This paper addresses traffic congestion through innovative solutions, including movable dividers that adjust road configurations and lanes dynamically. Real-time monitoring, using sensors and cameras, coupled with advanced algorithms, optimizes traffic flow by reallocating lanes according to changing conditions such as rush-hour congestion or accidents. Additionally, the system integrates variable speed limits and dedicated lanes for pedestrians and cyclists to enhance safety and accommodate diverse transportation modes. Centralized integration with a …
Published in Journal of Production Research & Management · Vol. 14, Issue 1, 2024 · pp. 21–28 Read article