Irfan Saif Ud Din¹, Imran Siddique^2,3,4,5, Zohaib Zahid¹, Muhammad Nadeem⁶, Ibrahim Alraddadi^2,*, Taha Radwan^7,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.081726 - 27 May 2026

Abstract This study examines the variable thermal conductivity and electroosmotic performance of Sutterby hybrid nanofluid (SBHNF) thin film flow over a stretched inclined sheet using an artificial neural network (ANN)-based on NARX (Multilayer Nonlinear Autoregressive Networks with Exogenous Inputs) multiple-layer backpropagation simulation with the Levenberg-Marquardt algorithm (LMA). AA7075 and AA7072 nanoparticles suspended in sodium alginate (SA) base fluid make up the hybrid nanofluid (HNF), which was selected due to its improved heat transfer properties and superior thermal conductivity. The model’s practical applicability is enhanced by melting heat, nonlinear thermal radiation, boundary slip, and Newtonian heating effects,… More >

H. Kamlesh¹, E. P. Siva^1,*, P. Bathmanaban², O. D. Makinde³, Dharmendra Tripathi⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.081147 - 27 May 2026

Abstract The current study comprehensively investigates Williamson nanofluid flow and transport in an asymmetric porous tapered channel under varying slip conditions, using both analytical and supervised machine learning approaches. This mathematical model integrates thermophoresis, Brownian motion, the Soret and Dufour effects, thermal radiation, and a transverse magnetic field to accurately describe thermosoluble transport phenomena relevant to biomedical contexts. The non-Newtonian Williamson formulation is used to explain how fluids, such as blood, dilute when sheared. Darcy resistance is used to describe porous structures in tissue scaffolds, capillary networks, and dialysis membranes. A perturbation method is used to… More >

Sarna Soren¹, Samrat Hansda^1,*, Umair Khan^2,3, Anuar Ishak⁴, Ahmed Kadhim Hussein⁵, Md Mamun Molla^6,7

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.079635 - 27 May 2026

Abstract This study presents a numerical investigation of thermosolutal convection within a baffled porous cavity filled with a radiative Casson-based ternary aqueous nanofluid. The ternary hybrid nanofluid is formulated by dispersing three distinct nanoparticles into a water-based solution, aiming to enhance the thermal and solute transport characteristics. The cavity includes internal baffles that modulate convective flow and facilitate improved energy transport. The governing equations for momentum, energy, species concentration, and entropy generation are discretized and solved using a higher-order compact (HOC) finite difference scheme, ensuring superior numerical precision. The novelty of the present study lies in… More >

Adebowale Martins Obalalu^1,*, Abdulazeez Adebayo Usman², Umair Khan³

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.2, 2026, DOI:10.32604/fdmp.2026.076959 - 04 March 2026

Abstract Efficient thermal management in porous media is essential for advanced engineering applications, including solar energy systems, electronic cooling, and aerospace thermal control. This study presents a comprehensive analysis of ternary hybrid nanofluids, TiO₂–CdTe–MoS₂ dispersed in water, flowing over a vertical stretching or shrinking surface in a Darcy–Brinkman porous medium. The investigation accounts for the combined effects of magnetohydrodynamics, thermal radiation, viscous dissipation, and internal heat generation. In contrast to previous studies that predominantly focused on single or binary nanofluids, the present work systematically examines the thermal and hydrodynamic performance of ternary hybrid nanofluids, highlighting their enhanced… More >

M. Faizan¹, Syed Sohaib Zafar², Farhan Ali¹, Umair Khan^3,4, Aurang Zaib⁵, Najiyah Safwa Khashi’ie^6,*

Frontiers in Heat and Mass Transfer, Vol.24, No.1, 2026, DOI:10.32604/fhmt.2026.075018 - 28 February 2026

Abstract The purpose of the present investigation is to explore the implications of Cross fluid in a Darcy-Forchheimer porous medium due to the tri-hybrid nanofluid past a porous cylinder. Thermal radiation, heat generation, thermal convection, solutal convective and chemical reaction have been encountered in this analysis. Entropy generation has been accounted for under the fluidic friction, heat rate analysis, and porosity analysis. Three different nanoparticles of multiwall carbon nanotube (MWCNT), aluminum oxide (Al2O3), and silver (Ag) are utilized to illustrate the tri-hybrid nanofluid flow with Ethlene Glycol (EG) as the base fluid. The governance… More >

Yasir Nawaz¹, Nabil Kerdid², Muhammad Shoaib Arif³, Mairaj Bibi^4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2026.077616 - 26 February 2026

Abstract A high-order hybrid numerical framework is developed by coupling a three-stage exponential time integrator with a Runge–Kutta scheme for the efficient solution of partial differential equations involving first-order time derivatives. The proposed scheme attains third-order temporal accuracy and is rigorously validated through stability and convergence analyses for both scalar and coupled systems. Its effectiveness is demonstrated by simulating unsteady Eyring-Prandtl non-Newtonian nanofluid flow over a Riga plate with coupled heat and mass transfer under electromagnetic actuation. The physical model accounts for Brownian motion and thermophoresis, and the nanofluid considered is a Prandtl-type non-Newtonian base fluid… More >

Adnan Ashique¹, Nehad Ali Shah¹, Usman Afzal¹, Yazen Alawaideh², Sohaib Abdal³, Jae Dong Chung^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2025.073292 - 26 February 2026

Abstract There is a need for accurate prediction of heat and mass transfer in aerodynamically designed, non-Newtonian nanofluids across aerodynamically designed, high-flux biomedical micro-devices for thermal management and reactive coating processes, but existing work is not uncharacteristically remiss regarding viscoelasticity, radiative heating, viscous dissipation, and homogeneous–heterogeneous reactions within a single scheme that is calibrated. This research investigates the flow of Williamson nanofluid across a dynamically wedged surface under conditions that include viscous dissipation, thermal radiation, and homogeneous-heterogeneous reactions. The paper develops a detailed mathematical approach that utilizes boundary layers to transform partial differential equations into ordinary… More >

Maddina Dinesh Kumar^1,#, S. U. Mamatha², Khalid Masood³, Nehad Ali Shah^4,#, Se-Jin Yook^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074680 - 29 January 2026

Abstract Fluid dynamic research on rectangular and trapezoidal fins is aimed at increasing heat transfer by means of large surfaces. The trapezoidal cavity form is compared with its thermal and flow performance, and it is revealed that trapezoidal fins tend to be more efficient, particularly when material optimization is critical. Motivated by the increasing need for sustainable energy management, this work analyses the thermal performance of inclined trapezoidal and rectangular porous fins utilising a unique hybrid nanofluid. The effectiveness of nanoparticles in a working fluid is primarily determined by their thermophysical properties; hence, optimising these properties… More >

Muhammad Hamzah¹, Muhammad Ramzan^2,*, Abdulrahman A. Almehizia³, Ibrahim Mahariq^4,5,6,7,8,*, Laila A. Al-Essa⁹, Ahmed S. Hassan¹⁰

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.070435 - 29 January 2026

Abstract The present investigation inspects the unsteady, incompressible MHD-induced flow of a ternary hybrid nanofluid made of SiO2 (silicon dioxide), ZnO (zinc oxide), and MWCNT (multi-walled carbon nanotubes) suspended in a water-ethylene glycol base fluid between two perforated squeezing Riga plates. This problem is important because it helps us understand the complicated connections between magnetic fields, nanofluid dynamics, and heat transport, all of which are critical for designing thermal management systems. These findings are especially useful for improving the design of innovative cooling technologies in electronics, energy systems, and healthcare applications. No prior study has… More >

Nikhil S. Mane¹, Sheetal Kumar Dewangan^2,*, Sayantan Mukherjee³, Pradnyavati Mane⁴, Deepak Kumar Singh¹, Ravindra Singh Saluja⁵

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-16, 2026, DOI:10.32604/cmc.2025.072090 - 10 November 2025

Abstract The thermal conductivity of nanofluids is an important property that influences the heat transfer capabilities of nanofluids. Researchers rely on experimental investigations to explore nanofluid properties, as it is a necessary step before their practical application. As these investigations are time and resource-consuming undertakings, an effective prediction model can significantly improve the efficiency of research operations. In this work, an Artificial Neural Network (ANN) model is developed to predict the thermal conductivity of metal oxide water-based nanofluid. For this, a comprehensive set of 691 data points was collected from the literature. This dataset is split More >