Darcy-Forchheimer aspect on unsteady bioconvection flow of Reiner-Philippoff nanofluid along a wedge with swimming microorganisms and Arrhenius activation energy

Numerical Heat Transfer Part A Applications, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Feb. 10, 2024

The main goal of the present investigation is to evaluate radiative heat aspect on bio-convective flowing magnetized Reiner-Philippoff nanoparticle toward a wedge with Darcy-Forchheimer and swimming microorganisms impacts. Heat mass transport assessment described in occurrence source/sink, Arrhenius activation energy, nonlinear thermal radiation. purpose current studies build framework for nanomaterials that incorporates thermophoretic Brownian motion phenomena. A suitable transformation employed convert partial differential equations into ordinary ones then computationally invoked by shooting technique. variation various embedded variables thermal, velocity, microorganisms, solutal, friction factor coefficient, transport, motile density number highlighted through graphically. It noticeable qualitative behavior solutal are similar unsteadiness parameter. rate acts as an escalating function source/sink parameter diminishing motion. Reverse pattern microorganism's profile observed frame bioconvection Lewies Peclet number.

Language: Английский

---

Revolutionizing bioconvection: Artificial intelligence-powered nano-encapsulation with oxytactic microorganisms

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 137, P. 109128 - 109128

Published: Aug. 12, 2024

Language: Английский

---

Modeling and predicting heat transfer performance in bioconvection flow around a circular cylinder using an artificial neural network approach

Tribology International, Journal Year: 2024, Volume and Issue: 200, P. 110182 - 110182

Published: Aug. 29, 2024

Language: Английский

---

Exploring heat generation and magnetic effects on unsteady ternary nanofluid flow over a dynamic wedge in porous media

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

Published: Jan. 1, 2025

Language: Английский

---

Artificial neural network analysis of Jeffrey hybrid nanofluid with gyrotactic microorganisms for optimizing solar thermal collector efficiency

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 8, 2025

This article investigates solar energy storage due to the Jeffrey hybrid nanofluid flow containing gyrotactic microorganisms through a porous medium for parabolic trough collectors. The mechanism of thermophoresis and Brownian motion graphene silver nanoparticles are also encountered in suspension water-based heat transfer fluid. have ability move an upward direction mixture, which enhances nanoparticle stability fluid mixing suspension. Mathematical modeling governing equations uses conservation principles mass, momentum, energy, concentration, microorganism concentration. non-similar variables introduced dimensional get non-dimensional ordinary differential equations. Cash Carp method is implemented solve artificial neural network developed using Levenberg Marquardt algorithm. Numerical findings corresponding diverse parameters influencing presented graphs. thermal profiles observed be enhanced with escalation Darcy Forchheimer parameters. And Nusselt number Deborah retardation time parameter. Entropy generation reduces enhancement Solar best renewable source. It can fulfill requirements growth industries engineering applications.

Language: Английский

---

Thermal and solutal slip impacts of tribological coatings on the flow and heat transfer of reiner-philippoff nanofluid lubrication toward a stretching surface: The applications of Darcy-Forchheimer theory

Tribology International, Journal Year: 2023, Volume and Issue: 190, P. 109038 - 109038

Published: Oct. 28, 2023

Language: Английский

---

Analysis of waste discharge concentration in radiative hybrid nanofluid flow over a stretching/shrinking sheet with chemical reaction

Mechanics of Time-Dependent Materials, Journal Year: 2024, Volume and Issue: 29(1)

Published: Dec. 11, 2024

Language: Английский

---

Entropy generation for stagnation point dissipative hybrid nanofluid flow on a Riga plate with the influence of nonlinear convection using neural network approach

Colloid & Polymer Science, Journal Year: 2024, Volume and Issue: 302(5), P. 745 - 770

Published: Feb. 9, 2024

Language: Английский

---

Numerical investigation of Cattaneo–Christov double diffusion and mixed convection effects in non-Darcian Sutterby nanofluid using multi objective optimization through RSM

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 100, P. 1219 - 1230

Published: Dec. 30, 2024

Language: Английский

---

Computational investigation of aspect ratio and inclination effects on natural convection heat transfer in nanofluid-filled rough wall cavities

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

Published: Jan. 11, 2024

Numerical analysis is performed to deduce the effect of aspect ratio (AR) and inclination a rough-walled cavity on heat transfer, fluid flow, entropy generation due natural convection for Rayleigh number (Ra = 105). The filled with Al2O3-water nanofluid 0.05 solid volume fraction. process caused by temperature difference between left hot wall right cold cavity. walls are subjected slip boundary conditions velocity characterized Knudsen (Kn 0.5). profile rough surface generated Weierstrass-Mandelbrot (W-M) function. simulations have been using Finite Element based software COMSOL Multiphysics 6.0. AR varied in range 0.5 4, kept at 0°, 30°, 60°. numerical results exhibited terms isotherms, streamlines, friction irreversibilities. It observed that has strong influence flow. Entropy found increase rise up 2 then it starts declining. irreversibility center minimal, so Bejan close unity. Cavity an 30° gives maximum Nusselt any value AR. Notably, total reach its α 60° minimum offering comprehensive insights into interplay geometric flow parameters within

Language: Английский

---