Finite element analysis of nanolayer thermal conductivity in Boger nanofluid flow with radius of nanoparticle and motile microorganisms under time-dependent conditions

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-03-10 DOI:10.1016/j.chaos.2025.116205
Qadeer Raza , Xiaodong Wang , Tahir Mushtaq , Bagh Ali , Nehad Ali Shah
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Abstract

This study investigates the effect of the single-walled carbon nanotube (SWCNT) nanoparticle radius on the mixed convection and nanolayer thermal conductivity flow of a Boger nanofluid over a stretching disk. Due to their elastic and non-Newtonian properties, Boger fluids are applicable in fields like polymer processing, rheological studies, enhanced oil recovery, and industries such as biomedical, food, and cosmetics, where simulating complex fluid flow behaviors is crucial. The research further explores the heat and mass transfer of the Boger fluid, considering factors such as viscous dissipation, Joule heating, magnetic field influence, porous medium permeability, and activation energy, while focusing on the flow behavior of motile microorganisms. The partial differential equations (PDEs) governing the system are reformulated in dimensionless form using appropriate non-dimensional variables. The finite element method (FEM) is used to solve these nonlinear and complex flow equations through an iterative approach, generating both numerical solutions and graphical representations of the nonlinear system via MATLAB programming. To ensure the reliability and accuracy of the numerical solution, convergence criteria are assessed, and results are compared with established reference solutions. The impact of various dimensionless variables on different flow profiles is analyzed through 2D and 3D graphical representations, as well as numerical analysis of key physical quantities. The study finds that expanding the nanoparticle radius increases skin friction, while the Nusselt number decreases in the porous disk, with optimal results occurring at τ=0.1. The velocity profile improves with a higher solvent fraction, but diminishes as the relaxation time ratio increases at η=0.7 and τ=1.96. Increasing nanolayer thickness enhances temperature distribution, whereas a larger particle diameter reduces the heat transfer rate in nanofluid flow. Higher values of dimensional activation energy enhance the concentration profile, while an increase in temperature difference and dimensional reaction rate parameters reduces the mass transfer rate with variations in τ and η. Additionally, higher values of the bioconvection Lewis and Peclet number parameters have opposite effects on microorganism distribution for different values of τ and η, with the Sherwood number decreasing with larger dimensional activation energy values, and larger values of the motile Schmidt number enhancing the flow of motile microorganisms.
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随时间变化的Boger纳米流体中纳米层导热系数的有限元分析
本研究考察了单壁碳纳米管(SWCNT)纳米颗粒半径对Boger纳米流体在拉伸圆盘上混合对流和纳米层导热流动的影响。由于其弹性和非牛顿性质,Boger流体适用于聚合物加工、流变学研究、提高石油采收率等领域,以及生物医学、食品和化妆品等行业,在这些行业中,模拟复杂的流体流动行为至关重要。本研究进一步探讨了Boger流体的传热传质,考虑了粘性耗散、焦耳加热、磁场影响、多孔介质渗透率、活化能等因素,同时重点研究了活动微生物的流动行为。控制系统的偏微分方程(PDEs)使用适当的无量纲变量以无因次形式重新表述。采用有限元法对这些非线性复杂的流动方程进行迭代求解,并通过MATLAB编程生成非线性系统的数值解和图形表示。为了保证数值解的可靠性和准确性,对收敛准则进行了评估,并将结果与已有的参考解进行了比较。通过二维和三维图形表示以及关键物理量的数值分析,分析了各种无量纲变量对不同流型的影响。研究发现,纳米颗粒半径的扩大增加了表面摩擦,而孔盘内的努塞尔数减少,在τ∗=0.1时效果最佳。在η∗=0.7和τ∗=1.96时,随着弛豫时间比的增加,速度分布减小。纳米层厚度的增加会增强温度分布,而颗粒直径的增大会降低纳米流体的传热速率。尺寸活化能的增大增大了反应的浓度分布,而温度差异和尺寸反应速率参数的增大则随着τ∗和η∗的变化而降低了传质速率。此外,较高的生物对流Lewis数和Peclet数对不同τ∗和η∗值的微生物分布有相反的影响,Sherwood数随活化能值的增大而减小,而较大的运动Schmidt数则增强了运动微生物的流动。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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