Impact of solid–liquid interfacial layer in the nanofluid flow between stretching stationary disk and a rotating cone

Madhu, J.; Vinutha, K.; Kumar, R. Naveen; Punith Gowda, R.J.; Prasannakumara, B.C.; Alqahtani, A.S.; Malik, M.Y.

doi:10.1016/j.triboint.2023.109187

Tribology International

2024

DOI: 10.1016/j.triboint.2023.109187

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Impact of solid–liquid interfacial layer in the nanofluid flow between stretching stationary disk and a rotating cone

J. Madhu,

K. Vinutha,

R. Naveen Kumar

et al.

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2024

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Cited by 28 publications

References 43 publications

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A computational study of Eyring‐Powell fluid model over a rotating cone with magnetic field and joule heating effect

Liaqat,

Ashraf,

Ul Haq

et al. 2024

Z Angew Math Mech

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In this research, we investigate mixed convection transport of mass and heat transfer in the unsteady boundary layer flow of the Eyring‐Powell fluid around a rotating cone in the presence of Brownian and thermophoresis effects. Rotating cones are widely used in conical diffusers, medical devices, Aerospace Engineering and a variety of rheometric and viscosimetry applications. Specifically, we focus on the flow of the Eyring‐Powell fluid around the cone in the presence of magnetohydrodynamics and nanofluid. The modeled momentum, energy, and concentration equations of the problem are transformed into nonlinear dimensionless, nonlinear ordinary equations by utilizing the similarity variables. These nonlinear coupled ordinary differential equations are solved numerically via Bvp4c, and the outcomes for important physical parameters on momentum, energy, and concentration equations are presented graphically. The computational outcomes of physical parameters for skin friction coefficient, local Nusselt number, and Sherwood are also presented in tabular form.

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A computational study of Eyring‐Powell fluid model over a rotating cone with magnetic field and joule heating effect

Liaqat,

Ashraf,

Ul Haq

et al. 2024

Z Angew Math Mech

View full text Add to dashboard Cite

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Implementation of stacking regressor model on the flow induced by TiO₂‐H₂O and Ti₆Al₄V‐H₂O nanofluid with waste discharge concentration

Madhukesh,

Fareeduddin

et al. 2024

Z Angew Math Mech

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The present investigation examines the circulation of and based nanofluids while considering the concentration of waste discharge. An innovative stacking regressor model is used to increase prediction accuracy. Using Shooting and Runge Kutta Fehlberg's fourth and fifth‐order schemes, the governing equations are converted into ordinary differential equations using similarity transformation and then numerically solved. The findings are represented graphically, and the model's correctness is assessed using Gaussian Process Regression, Categorical Boost, Extreme Gradient Boosting, and Random Forest, with linear regression acting as a meta‐model. The closely related testing and training data show the model's consistency and stability. Magnetic field and inclination angle will decline the velocity, space, and temperature‐dependent internal heat generation factors will enhance the temperature. Raising the pollutant external source parameter raises concentration. In all the cases, shows better performance than based nanofluid. The work's application ranges from fluid dynamics to waste management. By offering precise forecasts of nanofluid concentration, the proposed prediction model may aid in designing and optimizing waste discharge systems.

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Regression analysis of magnetized fluid flow in a discretely heated square enclosure in the partially filled with porous medium using RSM-CCD

Ananth Subray,

Hanumagowda,

Varma

et al. 2024

J Therm Anal Calorim

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Impact of solid–liquid interfacial layer in the nanofluid flow between stretching stationary disk and a rotating cone

Cited by 28 publications

References 43 publications

A computational study of Eyring‐Powell fluid model over a rotating cone with magnetic field and joule heating effect

A computational study of Eyring‐Powell fluid model over a rotating cone with magnetic field and joule heating effect

Implementation of stacking regressor model on the flow induced by TiO₂‐H₂O and Ti₆Al₄V‐H₂O nanofluid with waste discharge concentration

Regression analysis of magnetized fluid flow in a discretely heated square enclosure in the partially filled with porous medium using RSM-CCD

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Impact of solid–liquid interfacial layer in the nanofluid flow between stretching stationary disk and a rotating cone

Cited by 28 publications

References 43 publications

A computational study of Eyring‐Powell fluid model over a rotating cone with magnetic field and joule heating effect

A computational study of Eyring‐Powell fluid model over a rotating cone with magnetic field and joule heating effect

Implementation of stacking regressor model on the flow induced by TiO2‐H2O and Ti6Al4V‐H2O nanofluid with waste discharge concentration

Regression analysis of magnetized fluid flow in a discretely heated square enclosure in the partially filled with porous medium using RSM-CCD

Contact Info

Product

Resources

About

Implementation of stacking regressor model on the flow induced by TiO₂‐H₂O and Ti₆Al₄V‐H₂O nanofluid with waste discharge concentration