The significant role of Darcy–Forchhiemer with integrated hybrid nanoparticles ( Graphene and TiO ₂ ) on dusty nanofluid flow subjected to heat conduction

Numerical Heat Transfer Part B Fundamentals, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: May 6, 2024

The thermal analysis of two-phase models that deal with the fluid and dusty phases has been considered. This study instigates flow a non-miscible, hybrid nanofluid over stretching cylinder Darcy–Forchheimer permeability in presence radiation. mathematical model is based on single-phase model, which features modified thermophysical characteristics. innovative explores how important it to enhance concentration dust particles dynamics. Hybrid nanoparticles are substituted for conventional case accelerate heat transfer rate fluid. Therefore, this study, magnetohydrodynamic nanofluids non-Newtonian fluids suspensions have examined. appropriate dimensionless variables used convert governing periodic into non-dimensional form. finite-difference-based bvp5c algorithm through Matlab numerical set obtained ordinary differential equations. graphs explored influences relatable factors profiles mass, heat, velocity transfers. It observed intensifying values Eckert number (Ec) Biot (Bi), temperature both increased at significant level, decreased increasing intensity magnetic field. computational results velocity, core temperature, dispersion aspects. Furthermore, exhibit declining behavior as result impact porosity, mass concentration, magnetism stream. Moreover, noticed phase θp(η) θ(η) intensified high field missile nozzles, nuclear power plants aerospace gaseous-core rocket systems, radiation considered evaluating heating significance.

Language: Английский

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Analyzing porous cold storage unit in presence of hybrid nano-powders considering Galerkin method

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 61, P. 104899 - 104899

Published: Aug. 2, 2024

The article presents a comprehensive simulation study on cold storage porous containers, employing the Galerkin method to analyze their thermal behavior. A key focus of investigation is incorporation both radiation and conduction modes within mathematical model, acknowledging significant roles in freezing process. To enhance rate, hybrid nanoparticles are introduced into H2O, aiming speed up solidification. Notably, integrates adaptive grid techniques achieve higher modeling accuracy, with verification processes confirming high level agreement between results experimental data. This research also underscores potential for improved energy efficiency systems, contributing sustainability natural resources by reducing consumption enhancing overall systems. Through meticulous examination, explores impacts various factors freezing, including fraction nano-powders (ϕ), porosity (γ), factor (Rd). Remarkably, introduction media causes substantial increment resulting an improvement approximately 91.19 %. Moreover, inclusion term model significantly reduces completion time 30.85 %, underscoring importance considering effects such Additionally, dispersing water, decrement around 7.21 approach highlights optimizing use applications, thereby promoting conservation sustainable management resources.

Language: Английский

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Efficacy of dispersing nano-powders on rate of cold storage during solidification considering transient conduction

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 57, P. 104296 - 104296

Published: March 23, 2024

This study conducts a simulation of the freezing through container featuring finned sinusoidal geometry. The application Galerkin method effectively captures intricate dynamics unsteady processes, showcasing significant enhancement by introducing nanoparticles to augment system's thermal conductivity—an essential element for optimizing conduction efficiency. numerical approach underscores importance employing an adaptive grid in scenarios, tailoring based on solid front's position due heightened scalar gradients. Various powder diameters (dp) and fractions (ϕ) are systematically investigated, elucidating their distinct impacts process duration. Results reveal that initial increase dp causes decrement period 19.93%, followed subsequent rise 49.06%, specifically scenarios with 0.04 nanoparticle concentration. incorporation yields noteworthy 41.13% decrease solidification time when optimal sizes utilized. In contrast, without additives is 278.95s, reduced 164.19s introduction optimally sized powders.

Language: Английский

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Thermal management of nanofluid flow through porous container with impose of Lorentz force

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 60, P. 104779 - 104779

Published: July 1, 2024

This article thoroughly examined the impact of Lorentz and buoyancy forces on movement nanomaterials within a sealed container. The magnetic field was aligned with x-axis, while gravity acted along y-axis. container featured heated inner surface curved outer kept at lower temperature, permeable domain allowing fluid flow. Using various shapes found to enhance heat transfer effectively. investigation provides valuable insights into optimizing in practical applications by utilizing interaction between forces. analysis applied Darcy's formulation account for media simplified equations using stream function concept. numerical code underwent rigorous verification ensure its accuracy reliability. Introducing nanoparticles significantly increased Nusselt number (Nu), indicating an approximate 41.42 % improvement efficiency. Additionally, raising parameter "m" resulted 11.76 increase Nu. However, increasing Ha led 46.72 reduce Nu, reflecting reduced In contrast, boosting Rayleigh (Ra) substantially enhancing efficiency about 59.78 %.

Language: Английский

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Conical solar stills: A review

Solar Energy, Journal Year: 2025, Volume and Issue: 288, P. 113281 - 113281

Published: Jan. 16, 2025

Language: Английский

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Study on surrounding rock thermal physical properties on thermal comfort in a ventilated underground refuge chamber

International Journal of Thermal Sciences, Journal Year: 2025, Volume and Issue: 211, P. 109755 - 109755

Published: Feb. 3, 2025

Language: Английский

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Performance evaluation of interrupted and hybrid channel heat sinks for a triple junction high concentrator photovoltaic cell

International Journal of Thermofluids, Journal Year: 2025, Volume and Issue: unknown, P. 101102 - 101102

Published: Jan. 1, 2025

Language: Английский

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Synthesis of copper oxide nanoparticles and their efficiency in automotive radiator heat transfer systems

Powder Technology, Journal Year: 2025, Volume and Issue: unknown, P. 120887 - 120887

Published: March 1, 2025

Language: Английский

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Improving flow efficiency in micro and mini-channels with offset strip fins: A stacking ensemble technique for Accurate friction factor prediction in steady periodically developed flow

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 56, P. 104232 - 104232

Published: March 11, 2024

A novel machine-learning model for micro and mini-channel friction factor prediction is presented in this article. In recent years, periodic array offset strip fins mini channels have gained attention due to their compactness aid heat transfer chemical processing electronic cooling devices. The research uses fin length-to-height ratios below one, Reynolds numbers between one six hundred contain 2765 geometrically dimensioned. factor, the most significant barrier channel use, must be accurately estimated design efficient systems. Krylov subspace method implemented using finite element FEniCS software. Additionally, three machine learning algorithms, Catboost, XGboost, Random Forest regressors, are predict steady flow through with arrays, corresponding performance analysed. stacking ensemble proposed enhance precision of forecasts. results demonstrate that outperforms empirical correlations predicting values specific evaluation metrics an absolute error 0.403%, indicating represents complexity data.

Language: Английский

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Development of numerical code for mathematical simulating of unsteady solidification phenomena in existence of nanomaterial

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 56, P. 104259 - 104259

Published: March 13, 2024

This research zeroes in on improving the freezing process by synergistically employing a wavy wall and fins. To enhance cold penetration, phase change material (PCM) is enriched with nanoparticles, single-phase model adopted due to low nanoparticle concentration. The numerical simulations leverage Galerkin method validation procedure affirms precision of code, extensively evaluating impacts ϕ (concentration additives) dp (particle diameter). With an increase particle diameter (dp), there initial 19.76% decrease required time, succeeded subsequent 50.56% when = 0.04. Furthermore, escalation results 11.04%, 40.91%, 26.36% reduction completion time for values 50, 40, 30 nm, respectively. Without inclusion powders, solidification lasts 84.8 s. However, introduction optimal powder size, this duration significantly reduces 50.1 emphasizes efficiency improvements attained through strategic integration wall, fins, PCM infused nanoparticles.

Language: Английский

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