Work

Artificial intelligence based evaluation of the tri-hybridized (WS₂+Fe₃O₄+CuS) flow subjected to the thermal performance in porous systems

Year: 2025

Type: article

Abstract: • The thermal and flow dynamics of a tri-hybrid nano-composition WS₂+Fe₃O₄+CuS suspended in thermal oil is comparatively interpreted in the present work. • The governing dynamical system within the porous system is described by the Navier-Stokes equations. • Advanced neural network and computational techniques like RBF neural network and SOR method are employed to model and simulate the system's thermal and hydrodynamic performance. • The proposed nano-composition WS₂-Fe₃O₄-CuS together with base fluid has not been investigated yet. The thermal and flow dynamics of a ternary nanofluid composed of tungsten disulfide ( WS₂ ), magnetite ( Fe₃O₄ ), and copper sulfide ( CuS ) nanoparticles suspended in thermal oil is comparatively interpreted in the present work. The system operates within a porous medium emphasizing the effects of the ternary nano-composition under induced magnetic field environment. The model Navier-Stokes system represents the fluid flow in porous systems under varying flow regimes incorporating both Darcy (linear flow resistance) and Forchheimer (nonlinear inertial effects) terms. Porous materials enhance heat transfer by increasing the surface area for conduction and convection. Advanced computational and neural network techniques, including a radial basis function ( RBF ) neural network and successive over-relaxation ( SOR ) methods, are employed to model and simulate the system's thermal and hydrodynamic performance. Results reveal that the ternary nano-composition WS₂+Fe₃O₄+CuS outperforms traditional binary and single-component nanofluids in terms of thermal performance within porous systems. The rate of heat transfer is noticed to be low when volume fractions of magnetite and copper sulfide particles are taken large. Normal and streamwise velocities are decreasing functions of the Forchheimer as well as porosity parameter. The nano-structured fluid flows through Darcy-Forchheimer porous media are eminent for enhancing heat transfer in applications like heat exchangers, solar collectors, geothermal systems, and enhanced oil recovery.

Source: Results in Engineering

DOI: 10.1016/j.rineng.2025.104717

Authors: Sohail Ahmad, Hessa A. Alsalmah

Institutions: Muhammad Nawaz Sharif University of Engineering & Technology, Imam Mohammad ibn Saud Islamic University

Language: English

Topic: Nanofluid Flow and Heat Transfer

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: gold

Estimated APC paid: $1,940