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  • Open Access

    ARTICLE

    Semi Analytical Solution of MHD and Heat Transfer of Couple Stress Fluid over a Stretching Sheet with Radiation in Porous Medium

    Sara I. Abdelsalam1,2,*, M. Khairy3, W. Abbas3, Ahmed M. Megahed4, M. S. Emam5

    Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 1833-1846, 2025, DOI:10.32604/fhmt.2025.069711 - 31 December 2025

    Abstract This comprehensive research examines the dynamics of magnetohydrodynamic (MHD) flow and heat transfer within a couple stress fluid. The investigation specifically focuses on the fluid’s behavior over a vertical stretching sheet embedded within a porous medium, providing valuable insights into the complex interactions between fluid mechanics, thermal transport, and magnetic fields. This study accounts for the significant impact of heat generation and thermal radiation, crucial factors for enhancing heat transfer efficiency in various industrial and technological contexts. The research employs mathematical techniques to simplify complex partial differential equations (PDEs) governing fluid flow and heat transfer.… More >

  • Open Access

    ARTICLE

    Rheological Properties of Solid Rocket Propellants Based on Machine Learning

    Minghai Zheng1, Zhaoxia Cui1,*, Jiang Liu1, Jianjun Li2

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 431-455, 2025, DOI:10.32604/cmes.2025.071913 - 30 October 2025

    Abstract To accurately depict the strong nonlinear relationship between the viscosity of propellant slurry and shear rate, premix time, and temperature, and to improve the prediction accuracy, based on the sample preparation and experimental measurement of a certain type of propellant, viscosity data under multiple working conditions were obtained as the basic data for the research. By comparing typical models such as support vector regression and random forest, it was found that although the traditional BP neural network was superior to the both, its accuracy was still insufficient. Based on this, a BP model co-optimized by… More >

  • Open Access

    ARTICLE

    Non-Newtonian Electroosmotic Flow Effects on a Self-Propelled Undulating Sheet in a Wavy Channel

    Rehman Ali Shah1,2, Zeeshan Asghar3,*, Chenji Li2, Arezoo Ardekani2, Nasir Ali1

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 753-778, 2025, DOI:10.32604/cmes.2025.069177 - 30 October 2025

    Abstract The objective of this work is to investigate the dynamics of a self-propelled undulating sheet in a non-Newtonian electrolyte solution inside a wavy channel under the electroosmotic effect. The electrolyte solution, which is non-Newtonian, is modeled as a Carreau-Yasuda fluid. The flow generated by a combination of an undulating sheet and electroosmotic effect is obtained by solving the continuity and momentum equations. The electroosmotic body force term is derived using the Poisson-Boltzmann equation for the electric potential. A fourth-order ordinary differential equation for the stream function is solved under the Stokes flow regime. The dynamics More >

  • Open Access

    REVIEW

    Fluid Dynamics of Quantum Dot Inks: Non-Newtonian Behavior and Precision Control in Advanced Printing

    Zhen Gong#, Siyu Chen#, Zhenyu Feng, Dawang Li, Le Zhang, Meiting Xu, Yanping Lin, Huixin Huang, Dan Jiang, Caiyi Wu, Yichun Ke, Zhonghui Du*, Ning Zhao, Hongbo Liu*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2101-2129, 2025, DOI:10.32604/fdmp.2025.068946 - 30 September 2025

    Abstract Quantum dot inks (QDIs) represent an emerging functional material that integrates nanotechnology and fluid engineering, demonstrating significant application potential in flexible optoelectronics and high-color gamut displays. Their wide applicability is due to a unique quantum confinement effect that enables precise spectral tunability and solution-processable properties. However, the complex fluid dynamics associated with QDIs at micro-/nano-scales severely limit the accuracy of inkjet printing and pattern deposition. This review systematically addresses recent advances in the hydrodynamics of QDIs, establishing scientific mechanisms and key technical breakthroughs from an interdisciplinary perspective. Current research has focused on three optimization directions:… More >

  • Open Access

    ARTICLE

    High Accuracy Simulation of Electro-Thermal Flow for Non-Newtonian Fluids in BioMEMS Applications

    Umer Farooq1, Nabil Kerdid2,*, Yasir Nawaz3, Muhammad Shoaib Arif 4

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 873-898, 2025, DOI:10.32604/cmes.2025.066800 - 31 July 2025

    Abstract In this study, we proposed a numerical technique for solving time-dependent partial differential equations that arise in the electro-osmotic flow of Carreau fluid across a stationary plate based on a modified exponential integrator. The scheme is comprised of two explicit stages. One is the exponential integrator type stage, and the second is the Runge-Kutta type stage. The spatial-dependent terms are discretized using the compact technique. The compact scheme can achieve fourth or sixth-order spatial accuracy, while the proposed scheme attains second-order temporal accuracy. Also, a mathematical model for the electro-osmotic flow of Carreau fluid over… More >

  • Open Access

    ARTICLE

    Conjugate Usage of Experimental for and Theoretical Models Aqua Carboxymethyl Cellulose Nanofluid Flow in Convergent-Divergent Shaped Microchannel

    Shervin Fateh Khanshir1, Saeed Dinarvand2,*, Ramtin Fateh Khanshir3

    Frontiers in Heat and Mass Transfer, Vol.23, No.2, pp. 663-684, 2025, DOI:10.32604/fhmt.2025.060559 - 25 April 2025

    Abstract This article aims to model and analyze the heat and fluid flow characteristics of a carboxymethyl cellulose (CMC) nanofluid within a convergent-divergent shaped microchannel (Two-dimensional). The base fluid, water + CMC (0.5%), is mixed with CuO and Al2O3 nanoparticles at volume fractions of 0.5% and 1.5%, respectively. The research is conducted through the conjugate usage of experimental and theoretical models to represent more realistic properties of the non-Newtonian nanofluid. Three types of microchannels including straight, divergent, and convergent are considered, all having the same length and identical inlet cross-sectional area. Using ANSYS FLUENT software, Navier-Stokes equations… More > Graphic Abstract

    Conjugate Usage of Experimental for and Theoretical Models Aqua Carboxymethyl Cellulose Nanofluid Flow in Convergent-Divergent Shaped Microchannel

  • Open Access

    ARTICLE

    Thermal Performance of Entropy-Optimized Tri-Hybrid Nanofluid Flow within the Context of Two Distinct Non-Newtonian Models: Application of Solar-Powered Residential Buildings

    Ahmed Mohamed Galal1,2, Adebowale Martins Obalalu3, Akintayo Oladimeji Akindele4, Umair Khan5,6, Abdulazeez Adebayo Usman7, Olalekan Adebayo Olayemi8, Najiyah Safwa Khashi’ie9,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 3089-3113, 2025, DOI:10.32604/cmes.2025.061296 - 03 March 2025

    Abstract The need for efficient thermal energy systems has gained significant attention due to the growing global concern about renewable energy resources, particularly in residential buildings. One of the biggest challenges in this area is capturing and converting solar energy at maximum efficiency. This requires the use of strong materials and advanced fluids to enhance conversion efficiency while minimizing energy losses. Despite extensive research on thermal energy systems, there remains a limited understanding of how the combined effects of thermal radiation, irreversibility processes, and advanced heat flux models contribute to optimizing solar power performance in residential… More > Graphic Abstract

    Thermal Performance of Entropy-Optimized Tri-Hybrid Nanofluid Flow within the Context of Two Distinct Non-Newtonian Models: Application of Solar-Powered Residential Buildings

  • Open Access

    ARTICLE

    Execution of Bioconvective Radiative Dissipative Non-Newtonian Magnetohydrodynamic Flow Comprising Stratification with BVP4C Approach Configured with Vertical Plane

    Gurram Dharmaiah1, Jupudi Lakshmi Rama Prasad2, Chegu Ramprasad3, Samad Noeiaghdam4,*, Unai Fernandez-Gamiz5, Saeed Dinarvand6

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2019-2044, 2025, DOI:10.32604/cmes.2025.061190 - 27 January 2025

    Abstract The mathematical model for non-Newtonian magnetohydrodynamics flows across a vertically stretched surface with non-linear thermal radiation, mass and heat transfer rates, thermophoretic and Brownian movements, bio-convection, and motile microbes considered in the present work. It is possible to regulate the nanomaterial suspension in the nanofluid using the growth of microbes. With the use of boundary layer approximation, highly nonlinear partial differential equations were derived for the present flow model. The nonlinear partial differential equations are converted into ordinary differential equations by utilizing similarity transmutations, which simplify them. Numerical elixirs for ordinary differential equations are found More >

  • Open Access

    PROCEEDINGS

    Numerical Study of Coupled Cilia and Mucus in Herschel-Bulkley Flows

    Qian Mao1, Umberto D’Ortona1, Julien Favier1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012535

    Abstract The human airways are protected by two fluid layers, a periciliary layer (PCL) covering the epithelial surface and a mucus layer on top of the PCL. The cilia are almost immersed in the PCL and interact with the mucus through their tips. The mucus is often described as a yield stress and shear thinning fluid. The effect of these non-Newtonian properties on ciliary coordination and mucus transport was investigated using the Lattice-Boltzmann method. The non-Newtonian mucus was modelled using the Herschel-Bulkley model. Three mucus flow regimes were observed and analysed in a wide range of… More >

  • Open Access

    PROCEEDINGS

    Non-Newtonian Rheology of Cell Suspension in a Porous Scaffold During Perfusion Cell Seeding

    Ziying Zhang1,*, Chu Li1, Junwei Zhu1, Qinghong Wu1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.010912

    Abstract The process of perfusion seeding of cells into a porous scaffold represents a pivotal initial stage in the development of tissue-engineered bones. The rheological behavior of the cell suspension plays a crucial role in influencing the transport and distribution of cells within the scaffold. Currently, there is limited understanding of the non-Newtonian rheology of cell suspensions in complex pores which differs significantly from simple channels or linear shear flow. In this study, we utilize our previously developed mesoscopic model of perfusion cell seeding to investigate the rheological behavior of cell suspensions at the cellular scale. More >

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