Artificial Neural Network Model using Levenberg Marquardt Algorithm to Analyse Transient Flow and Thermal Characteristics of Micropolar Nanofluid in a Microchannel

Partial Differential Equations in Applied Mathematics, Journal Year: 2024, Volume and Issue: unknown, P. 101061 - 101061

Published: Dec. 1, 2024

Language: Английский

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Impacts of variable magnetic field on ternary Casson nanofluid flow through ciliated arterial walls incorporating interfacial nanolayer

Electromagnetic Biology and Medicine, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 28

Published: Jan. 9, 2025

The current investigation explores tri-hybrid mediated blood flow through a ciliary annular model, designed to emulate an endoscopic environment. human circulatory system, driven by the metachronal waves, is examined in this study understand how ternary nanoparticles influence wave-like dynamics presence of interfacial nanolayers. We also analyze effect induced magnetic field on Ag-Cu-

Language: Английский

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Magnetofluid EOF of a class of non-compressible micropolar fluids in a parallel plate microchannel with a hydrophobic wall at high wall Zeta potential

Chinese Journal of Physics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

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Machine learning approach using Levenberg Marquardt artificial neural networks for magnetized ternary hybrid nanofluid across a permeable moving wedge

Separation Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 13

Published: Feb. 10, 2025

The study used a mass-based ternary hybrid nanofluid model using the Levenberg Marquardt artificial network (THNF-LMANN) to analyze magnetohydrodynamic (MHD) flow across moving wedge. (LMANN) is novel technique in machine learning that has convergence stability via histogram representation, training, testing, and validation of LMANN acquired data. Convective boundary conditions, heat radiation, along with wall porosity are all included study. aggregate masses volumetric concentration first, second, third nanoparticles considered rather than individual (Titania, silver, graphene) base fluid. novelty present investigate effect radiation magnetic THNF LMANN. To reduce number variables key equations terms dimensionless ordinary differential equations, self-similarity approach employed. statistical information for THNF-LMANN been generated Runge–Kutta–Fehlberg (RK4). It shown how important new parameters affect temperature velocity curves. Higher wedge angles thought directly distributions layer, which reduces depth layer raises gradient at wedge's surface. scrutinized viscosity increases nanomaterials. Furthermore, decrease thickness might result from an increase suction. Interestingly, hydrodynamic thermal layers both increasing function Biot number. compared published work good agreement found.

Language: Английский

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Computational Insights Into Nanoscale Heat Dynamics of Chemically Reactive and Magnetized Carreau Hybrid Bio‐Nanofluid Using a Multilayer Supervised Neural Computing Scheme

International Journal for Numerical Methods in Fluids, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 16, 2025

ABSTRACT The use of well‐designed nanoparticles in blood fluid can enhance heat transfer during medical interventions by improving thermophysical characteristics. It enables for targeted delivery to specific sites increasing surface area better exchange, which is crucial more efficient treatments. current attempt emphasizes on the enhanced thermal transport mechanism an aluminium alloy suspended Copper‐based nanofluid over inclined cylindrical containing motile gyrotactic microbes. Carreau viscosity model implemented expose intricate nature bio‐nanofluid, while heating source used simulate bio‐convective mechanism. In addition, hybrid bio‐nanofluids exhibits temperature effects that depend nanoparticle volume friction dependencies related dynamics spherical and shapes with distinct shape factors. physical generated system partial differential equations (PDEs) derived then transformed into a dimensionless ordinary (ODEs) using similarity functions. resulting reduced first‐order numerical solution obtained computational procedure. trend profiles examined mean governing parameters. Results are interpreted via tabular data MATLAB visualization. observed gravity impede flow direction magnetic field orientation causes decrease velocity increase profile. A declining noted microbe profile due higher values Peclet number numeric growth value microbe's factor. Heat rate drag force coefficients both differ reasonable amounts. proposed results build bridge between traditional computational‐based simulations advanced ANN‐based approaches, establishing robust foundation applications biomedical engineering.

Language: Английский

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Heat transfer and sensitivity exploration of gyrotactic microorganisms suspended in a Casson hybrid nanofluid flow on a permeable stenosed artery

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(2)

Published: Feb. 1, 2025

The primary goal of this investigation is to concentrate on the heat transfer analysis concerning permeability a Casson hybrid nanofluid flowing through narrowed artery in presence microorganisms. non-Newtonian fluid replicates flow and phenomena. Additionally, nonlinear coupled partial differential equation was streamlined efficiently similarity transformations, it then numerically solved using MATLAB. rheological properties blood with nanoparticles (Ag-GO) were assessed graphical representations detailed examination outcome. Findings showed that Darcy number (Da) Grashof parameter (Gr) are key factors increasing velocity. In contrast, modifications radiation parameter(Rd), (β), magnetic field (M) have positive influence temperature profile. impact ϕ, M, γ, Sc, Pr skin friction local Nusselt addressed tabular format. Hybrid nanofluid's exceptional capabilities make them more efficient than single-component nanofluids heating cooling applications. Functional performance design can be refined by identifying fine-tuning critical parameters influencing rates via sensitivity response surface methodology. Furthermore, study significant environmental science, material technology, biomedical engineering, medicine.

Language: Английский

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Detection of Arterial Stenosis Based on Synchronized Signals from Wearable Pulse and Blood Flow Velocity Sensors

ACS Sensors, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 25, 2025

Atherosclerosis is the main cause of ischemic stroke. It occurs as a condition that leads to thickening arterial blood vessel walls and narrowing vessels, which can seriously affect normal flow blood. Currently, detection stenosis relies on large-scale hospital equipment like computed tomography (CT) magnetic resonance imaging (MRI), require specialized technicians operate are not convenient for daily use. In addition, affects multiple parameters hemodynamics in field, relying single physical quantity sufficient understand field localized stenotic vessel. Here, we demonstrated combined sensors pulse wave velocity (CSPB) based photoelectric plethysmography an ultrasonic Doppler device. We found when rate increased by 30%, amplitude difference curve between two sides over 11%, decreased 8%, resistance 11%. also prepared silicone-based models vessels build vitro systems achieve more accurate simulation vascular diseases. Based this, studied curves CSPB under different parameters. Meanwhile, used finite element analysis method fluid-structure interactions study changes conditions. This expected provide theoretical technical references achieving noninvasive cardiovascular cerebrovascular diseases multisensor fusion.

Language: Английский

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Thermal Investigation of a Solar Collector Using an Efficient Computational Technique

Engineering Reports, Journal Year: 2025, Volume and Issue: 7(3)

Published: March 1, 2025

ABSTRACT The thermal efficiency of a flat‐plate solar collector is theoretically analyzed in this study. For purpose, novel computational technique called the Akbari‐Ganji method (AGM) applied. solution function derived using examined for three different cases, including four‐term, six‐term, and eight‐term approximations. To validate proposed method, obtained results are compared with those from published work, showing very good agreement. comprehensively assessed under influence length, effectiveness coefficient, heat loss coefficient. reveal that an increase coefficient enhances collector's efficiency.

Language: Английский

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A preliminary study on graphical method of thermodynamic process parameters under dynamic boundary conditions

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown, P. 100084 - 100084

Published: Jan. 1, 2025

<p>Thermodynamic graphical methods are useful tools for visualizing thermodynamic state equations and widely applied in the design optimization of systems. However, integration renewable energy thermal storage systems introduces finite heat capacity characteristics, resulting continuous dynamic variations system performance, which poses challenges to existing methods. To accurately describe performance under boundary conditions, this study investigates analysis characteristics Energy-Energy (<i>E</i>-<i>E</i>) diagram. Based on ideal gas model, mathematical expressions mechanical derived, systematic comparisons between <i>E</i>-<i>E</i> Temperature (<i>T</i>)-Entropy (<i>s</i>) diagrams conditions conducted, elucidating intrinsic relationships among geometric parameters, initial performance. Through parametric analysis, we reveal that increasing reservoir temperature from 500 K <styled-content style-type="number">1500</styled-content> enhances conversion potential, with rotation angle 20.77° 37.15°. Additionally, cold ratio results a decreased angle, indicating lower efficiency. The diagram achieves visualization by analogizing processes rotational motion radius circle. Compared <i>T</i>-<i>s</i> diagram, it employs lines slopes instead areas area ratios, exhibiting advantages analyzing varying conditions. This complementary coupling provides new perspective describing systems.</p>

Language: Английский

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DEM Analysis of Flow Dynamics and Thermal Performance of a Novel Indirect Particle Heat Exchanger

Asia-Pacific Journal of Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

ABSTRACT In this study, we introduce an innovative gravity‐driven, noncontact particle heat exchanger featuring a double helix design to effectively separate and cold mediums, enhanced by platform for control of velocity. Utilizing the discrete element method (DEM), conducted simulations analyze flow transfer dynamics within exchanger. Our investigation focuses on impact various parameters, including blade pitch, number, rolling friction coefficients between particles walls, size, velocity, residence time, contact frequency, overall efficiency. findings reveal that optimizing pitch plays pivotal role in balancing mass rate with medium pitches yielding most favorable outcomes. The exhibit three distinct motion patterns as they travel along spiral blades, which results varying distributions time. addition single notably increases outlet temperature, leading significant enhancement heating power. Despite having power is less than optimal level, discharge exceeds condition. Furthermore, demonstrate minimizing facilitates smoother flow, contributing transfer. use smaller amplifies area exchange surface, resulting even more efficient Building upon these insights, develop validate reduced‐order model accurately simulates temperatures across heights exchanger, offering valuable tool indicating fit quality.

Language: Английский

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