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Python-Based Simulation of Rotating MHD Jeffrey Nanofluid Flow over a Permeable Stretching Surface Subject to Hall and Ion Slip Effects 基于python的旋转MHD杰弗里纳米流体在受霍尔和离子滑移效应影响的可渗透拉伸表面上的流动模拟
Q1 Chemical Engineering Pub Date : 2025-12-05 DOI: 10.1016/j.ijft.2025.101517
Wubale Demis Alamirew , Gurju Awgichew , Eshetu Haile
This study presents a numerical investigation of the three-dimensional rotating flow of a magnetohydrodynamic (MHD) Jeffrey nanofluid over a permeable stretching surface. The model comprehensively incorporates the effects of Hall and ion slip currents, Coriolis force, nonlinear thermal radiation, viscous dissipation, Joule heating, internal heat generation/absorption, and a first-order chemical reaction. The Buongiorno model is employed to account for Brownian motion and thermophoresis mechanisms in nanoparticle transport. The governing nonlinear partial differential equations are transformed into a system of coupled ordinary differential equations using similarity variables and solved numerically using a high-precision sixth-order Runge–Kutta (RK6) method with a shooting technique, implemented in Python programming. The numerical code is rigorously validated against established benchmark studies, showing excellent agreement. Simulation results, presented graphically and in tables, demonstrate that streamwise velocity increases with Hall and ion slip parameters but decreases with the relaxation parameter. The Nusselt number, quantifying heat transfer, is enhanced by Hall currents and the Prandtl number but suppressed by nonlinear thermal radiation. Conversely, the Sherwood number, representing nanoparticle mass transfer, increases with both the chemical reaction rate and nonlinear thermal radiation. These insights are vital for optimizing the performance of advanced engineering systems, including MHD power generators, nanofluid-based cooling technologies, and materials processing operations.
本文对磁流体动力学(MHD)杰弗里纳米流体在可渗透拉伸表面上的三维旋转流动进行了数值研究。该模型综合考虑了霍尔和离子滑移电流、科里奥利力、非线性热辐射、粘性耗散、焦耳加热、内热产生/吸收和一级化学反应的影响。布翁焦尔诺模型被用来解释纳米颗粒运输中的布朗运动和热泳动机制。将控制非线性偏微分方程转化为使用相似变量的耦合常微分方程系统,并使用具有射击技术的高精度六阶龙格-库塔(RK6)方法进行数值求解,并在Python编程中实现。数值代码对已建立的基准研究进行了严格验证,显示出极好的一致性。仿真结果以图形和表格的形式显示,沿流速度随霍尔和离子滑移参数的增加而增加,随弛豫参数的增加而减小。量化热传递的努塞尔数被霍尔电流和普朗特数增强,但被非线性热辐射抑制。相反,代表纳米颗粒传质的舍伍德数随着化学反应速率和非线性热辐射的增加而增加。这些见解对于优化先进工程系统的性能至关重要,包括MHD发电机、基于纳米流体的冷却技术和材料处理操作。
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引用次数: 0
Stability and regression analysis of MHD radiative flow with different shaped Al2O3nanoparticles in a semi-porous channel 半多孔通道中不同形状al2o3纳米颗粒MHD辐射流稳定性及回归分析
Q1 Chemical Engineering Pub Date : 2025-12-02 DOI: 10.1016/j.ijft.2025.101514
Abdul Awal, Md.Maidul Islam, Md.Sarwar Alam, Sumaiya Akter
Nanofluids have recently gained prominence as advanced working fluids in thermal management and fluid dynamics. Detailed assessment of their thermophysical properties particularly shape effect under thermal radiation is crucial for evaluating heat transfer efficiency of channel flow. This study presents a novel analytical and statistical approach for analyzing and optimizing the unsteady magnetohydrodynamic (MHD) two-dimensional Al₂O₃–water nanofluid flow through a semi-porous channel with expanding and contracting walls, focusing on the influence of nanoparticles’ shape on flow and thermal radiation effect. The partial differential equations governing the flow are simplified into a system of coupled, non-dimensional ordinary differential equations using similarity transformations. An analytical solution is obtained using the power series method, and then analyzed using Hermite–Padé approximation approach. The study explores the impact of several physical parameters including Reynolds number, magnetic parameter, expansion/contraction ratio, Prandtl number, Brinkman number, radiation parameter, nanoparticle volume fraction, and shape factor on the velocity and temperature profiles. Results indicate that platelet-shaped (atm=5.7) nanoparticles yield the highest temperature distribution, while increased nanoparticle concentration over 5 % and shape factor (m>5.7) tend to reduce heat transfer. Stability analysis of the solution confirmed the physically viable solution branch of the heat transfer rate and the singular point of the effective physical parameter.
Additionally, Response Surface Methodology (RSM) is employed to develop a statistical model for optimizing heat transfer performance, where the local Nusselt number is considered the key response variable. The adequacy and predictive capability of the regression model are verified through ANOVA, demonstrating both significance and accuracy, with an R² value of 99.95 %. This integrated approach delivers significant insights into the interaction effects of multiple parameters and supports the design of efficient nanofluid-based thermal systems. This research investigates which shaped nanoparticle provides superior thermal performance in nanofluid-based cooling systems and how the expansion/contraction parameter affect the flow and heat transfer mechanism.
纳米流体作为一种先进的工作流体,近年来在热管理和流体动力学领域获得了突出的地位。详细评估它们的热物性,特别是热辐射下的形状效应,是评估通道流换热效率的关键。本文提出了一种新的分析和统计方法,用于分析和优化非定常磁流体(MHD)二维Al₂O₃-水纳米流体在具有膨胀和收缩壁面的半多孔通道中的流动,重点研究了纳米颗粒形状对流动和热辐射效应的影响。利用相似变换将控制流动的偏微分方程简化为一个耦合的无量纲常微分方程系统。用幂级数法得到了解析解,然后用hermite - pad逼近法进行了分析。研究了雷诺数、磁性参数、膨胀/收缩比、普朗特数、布林克曼数、辐射参数、纳米颗粒体积分数和形状因子等物理参数对速度和温度分布的影响。结果表明,血小板形状(atm=5.7)纳米颗粒的温度分布最高,当纳米颗粒浓度大于5%和形状因子(m>5.7)增加时,传热会减小。解的稳定性分析确定了传热率的物理可行解分支和有效物理参数的奇点。此外,采用响应面法(RSM)建立了优化传热性能的统计模型,其中局部努塞尔数被认为是关键的响应变量。通过方差分析验证回归模型的充分性和预测能力,具有显著性和准确性,R²值为99.95%。这种集成的方法提供了对多个参数相互作用影响的重要见解,并支持高效纳米流体热系统的设计。本研究探讨了哪种形状的纳米颗粒在纳米流体冷却系统中提供了优越的热性能,以及膨胀/收缩参数如何影响流动和传热机制。
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引用次数: 0
Enhanced heat transport in magneto-nanofluidic thermal systems: adiabatic block effects in grooved channels and ANN modeling 磁纳米流体热系统中增强的热传递:沟槽通道中的绝热块效应和人工神经网络建模
Q1 Chemical Engineering Pub Date : 2025-12-02 DOI: 10.1016/j.ijft.2025.101515
Dipak Kumar Mandal , Nirmal K. Manna , Nirmalendu Biswas , Tansu Rudra , Rajesh Kumar , Ali Cemal Benim
This study investigates heat transfer enhancement in magneto-nanofluidic systems through the strategic placement of adiabatic blocks in grooved channels. Using CuOH2O nanofluid in a bottom-heated channel with circular expansion, we examine the complex interactions between forced convection, magnetic fields, and buoyancy effects. Through systematic numerical analysis, we explore the combined influences of Rayleigh, Reynolds, and Hartmann numbers on thermal performance. Our findings reveal significant heat transfer enhancement (up to 137 %) under optimal conditions, particularly with vertical magnetic field orientation at Re = 100 and Ha = 30. The results demonstrate how adiabatic blocks modify flow structures, with larger blocks diminishing vortex intensity while elevated Ra generates secondary vortices that interact with primary circulations. Magnetic field effects show notable dependence on orientation, with vertical fields generally promoting better heat transfer than horizontal configurations. To complement the numerical analysis, we develop a predictive model using Artificial Neural Network (ANN) for Nusselt numbers across various operating conditions, achieving over 99 % accuracy. The integrated computational-ANN approach offers significant advancements in optimizing thermal systems in various areas, ranging from electronics cooling to microfluidic devices.
本研究通过在沟槽通道中策略性地放置绝热块来研究磁纳米流体系统中的传热增强。利用CuOH2O纳米流体在底部加热的圆形膨胀通道中,我们研究了强制对流、磁场和浮力效应之间的复杂相互作用。通过系统的数值分析,探讨了瑞利数、雷诺数和哈特曼数对热工性能的综合影响。我们的研究结果表明,在最佳条件下,特别是在Re = 100和Ha = 30的垂直磁场方向下,传热增强显著(高达137%)。结果表明,绝热块如何改变流动结构,较大的块降低了涡强度,而升高的Ra产生了与初级环流相互作用的二次涡。磁场效应明显依赖于取向,垂直磁场通常比水平磁场促进更好的传热。为了补充数值分析,我们使用人工神经网络(ANN)开发了一个预测模型,用于各种操作条件下的努塞尔数,准确率超过99%。综合计算-人工神经网络方法在优化各个领域的热系统方面取得了重大进展,从电子冷却到微流体装置。
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引用次数: 0
Exploring the impact of variable viscosity on thermal mechanics in Casson hybrid nanofluid flow in a porous channel 探讨变粘度对多孔通道中卡森混合纳米流体流动热力学的影响
Q1 Chemical Engineering Pub Date : 2025-11-29 DOI: 10.1016/j.ijft.2025.101513
Annapurna Tarapuram , Syed Mohiuddin , Suneetha Kolasani , M. Karuna Prasad
This study explores the mixed convective and heat transfer flow characteristics of a Casson hybrid nanofluid, consisting of gold (Au) and titanium (Ti) nanoparticles suspended in blood, traversing a vertical channel within a porous medium. Motivated by the growing relevance of nanofluids in biomedical applications, particularly in targeted drug delivery and hyperthermia-based cancer treatments, this work aims to understand how variable viscosity and thermal conductivity influence heat transfer enhancement. The research addresses a key gap in the literature by modeling a non-Newtonian blood-based hybrid nanofluid using Casson fluid theory, which better represents the rheological properties of blood compared to Newtonian assumptions. The governing nonlinear momentum and energy equations are obtained and translated by similarity transformations, and hence, solved numerically using MATLAB's BVP5C technique. Quantitative results show that the incorporation of nanoparticles enhances the heat transfer rate by up to 21.7 % compared to the nanofluid and 46.06 % to the viscous fluid.
Additionally, variable viscosity significantly modulates flow velocity, while variable thermal conductivity sharply constrains thermal diffusion. Velocity and temperature contour plots, accompanied by the tabulated skin friction and Nusselt number, provide a detailed overview of parameter effects. The novelty of this work lies in the absorption of blood-based Casson hybrid nanofluid with variable thermophysical properties, enabling a more realistic model for biomedical heat transfer processes. This model holds promise for optimizing cooling techniques in therapeutic procedures and designing advanced drug delivery systems.
本研究探讨了卡森混合纳米流体的混合对流和传热流动特性,该流体由悬浮在血液中的金(Au)和钛(Ti)纳米颗粒组成,在多孔介质中穿过垂直通道。受纳米流体在生物医学应用中日益增长的相关性的激励,特别是在靶向药物输送和基于高温的癌症治疗中,这项工作旨在了解可变粘度和导热性如何影响传热增强。该研究利用卡森流体理论对非牛顿血液混合纳米流体进行建模,填补了文献中的一个关键空白。与牛顿假设相比,卡森流体理论更好地代表了血液的流变特性。通过相似变换得到控制非线性动量和能量方程并进行转换,从而利用MATLAB的BVP5C技术进行数值求解。定量结果表明,与纳米流体相比,纳米颗粒的加入使换热率提高了21.7%,比粘性流体提高了46.06%。此外,变粘度显著调节流速,而变热导率严重限制热扩散。速度和温度等高线图,加上表示的表面摩擦和努塞尔数,提供了参数影响的详细概述。这项工作的新颖之处在于吸收具有可变热物理性质的基于血液的卡森混合纳米流体,从而为生物医学传热过程提供更现实的模型。该模型有望优化治疗过程中的冷却技术和设计先进的药物输送系统。
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引用次数: 0
Mixed convective two phase flow of an electrically conducting micropolar nanofluid in a double lid-driven square cavity 双盖驱动方形腔中导电微极纳米流体的混合对流两相流动
Q1 Chemical Engineering Pub Date : 2025-11-22 DOI: 10.1016/j.ijft.2025.101508
Vasileios C. Loukopoulos , Georgios C. Bourantas , Vasileios P. Georgopoulos , Vasilis N. Burganos
We study the non-stationary, incompressible, laminar mixed-convection flow in a double lid-driven square enclosure filled with an electrically conducting micropolar nanofluid under the influence of an external magnetic field. The aim is to enhance understanding of heat and mass transport phenomena in nanofluids by examining the impact of key flow parameters – including the Grashof, Hartmann, Reynolds, and Prandtl numbers, as well as the micropolar material parameter, lid-motion parameter, Brownian motion, buoyancy ratio, and thermophoresis – on heat and mass transfer characteristics, expressed through local and average Nusselt and Sherwood numbers, streamlines, isotherms, microrotation, and concentration contours. The nanofluid is modeled as a two-phase mixture following a modified form of Buongiorno’s framework, which incorporates nanoparticle redistribution via an advection–diffusion concentration equation coupled with the Navier–Stokes equations. The governing system is solved numerically using a meshless point collocation method (MPCM), where spatial derivatives are computed through the Discretization-Corrected Particle Strength Exchange (DC PSE) technique, and transient terms are approximated using the Runge–Kutta–Fehlberg (RKF) scheme. This work is the first to couple Buongiorno’s two-phase nanofluid model with micropolar effects and magnetohydrodynamic (MHD) forces in a double lid-driven cavity. The results demonstrate that buoyancy enhancement (higher Gr) strengthens convection, whereas magnetic damping (higher Ha) suppresses it by flattening streamlines and thickening thermal layers. Tilting the magnetic field toward the vertical direction restores circulation and enhances heat transfer. Increasing the micropolar coupling parameter (K) augments microrotation and improves both heat and mass transport, partially counteracting magnetic damping. The lid-motion parameter (λ) governs flow symmetry: co-directional motion enhances, while counter-motion weakens convection, whereas higher nanoparticle concentration (ϕ) further boosts thermal performance due to increased effective conductivity.
我们研究了在外加磁场影响下,在一个充满导电微极纳米流体的双层盖子驱动的方形外壳中,非平稳、不可压缩、层流混合对流的流动。目的是通过检查关键流动参数(包括Grashof、Hartmann、Reynolds和Prandtl数,以及微极性材料参数、薄膜运动参数、布朗运动、浮力比和热电泳)对传热和传质特性的影响,通过局部和平均努塞尔和舍伍德数、流线、等温线、微旋转和浓度等高线来表达,从而增强对纳米流体中热和质量传递现象的理解。纳米流体被建模为遵循Buongiorno框架的改进形式的两相混合物,其中通过平流-扩散浓度方程和Navier-Stokes方程结合纳米颗粒再分配。控制系统采用无网格点配点法(MPCM)进行数值求解,其中通过离散化校正粒子强度交换(DC PSE)技术计算空间导数,并使用Runge-Kutta-Fehlberg (RKF)格式逼近瞬态项。这项工作是第一次将Buongiorno的两相纳米流体模型与微极效应和磁流体动力(MHD)力在双盖驱动腔中耦合起来。结果表明,浮力增强(更高的Gr)增强对流,而磁阻尼(更高的Ha)通过平坦流线和增厚热层来抑制对流。将磁场向垂直方向倾斜可以恢复循环并增强传热。增加微极性耦合参数(K)可以增强微旋转,改善热量和质量输运,部分抵消磁阻尼。盖子运动参数(λ)控制流动对称性:共向运动增强,而反运动减弱对流,而更高的纳米颗粒浓度(φ)进一步提高热性能,因为增加了有效导电性。
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引用次数: 0
Thermodynamic optimization of magnetic hyperthermia via elasticity tuning in non-Newtonian blood flow 磁热疗在非牛顿血流中的弹性调节热力学优化
Q1 Chemical Engineering Pub Date : 2025-11-19 DOI: 10.1016/j.ijft.2025.101499
Ali Ahmadi Azar, Zahra Poolaei Moziraji
The Weissenberg number (We) quantifies the relative dominance of elastic over viscous forces in tangent‐hyperbolic fluids such as blood and is classically divided into three regimes—low to moderate elasticity (We ≈ 0.01–0.1), transitional elasticity (We ≈ 0.1–1.0), and high elasticity (We ≈ 1.0–2.0). A unified analysis reveals that average velocity decreases by 0.17 %, 1.82 %, and 2.27 % across these regimes (from 0.0968 to 0.0927), skin friction intensifies by 0.23 %, 2.43 %, and 3.10 % (from –1.1616 to –1.0957), Nusselt number rises by 0.06 %–0.86 % (from –5.6063 to –5.5192), entropy‐generation rates grow by 0.14 %–2.08 % (from 0.0233 to 0.0242), and temperature distributions shift by less than 0.05 %. Progressive viscoelasticity restructures velocity profiles via boundary‐layer thinning and 0.17–2.27 % velocity reduction; coupled radiation–magnetic effects leave temperature invariant (<0.05 % variation); skin friction and Nusselt number respond through amplified shear and thermal gradients (increasing by 0.23–3.10 % and 0.06–0.86 %, respectively); entropy generation rises by 0.14–2.08 % with viscous dissipation dominating beyond We ≈ 1.0; the critical We for irreversibility shift is ≈1.0; and entropy minimization in magnetic hyperthermia is achieved in the low elasticity regime (We ≤ 0.1). The novelty of the governing equations necessitates validation via residual error assessment of the computational solutions.
Weissenberg数(We)量化了在正切双曲流体(如血液)中弹性力相对于粘性力的相对优势,通常分为三种状态——低至中等弹性(We≈0.01-0.1)、过渡弹性(We≈0.1-1.0)和高弹性(We≈1.0-2.0)。统一分析表明,在这些区域(从0.0968到0.0927),平均速度分别降低了0.17%、1.82%和2.27%,表面摩擦力分别增强了0.23%、2.43%和3.10%(从-1.1616到-1.0957),努塞尔数增加了0.06% - 0.86%(从-5.6063到-5.5192),熵产率增加了0.14% - 2.08%(从0.0233到0.0242),温度分布变化不到0.05%。渐进粘弹性通过边界层变薄和0.17 - 2.27%的速度降低来重构速度剖面;耦合辐射-磁效应使温度保持不变(<; 0.05%变化);表面摩擦和努塞尔数通过剪切梯度和热梯度的放大来响应(分别增加0.23 - 3.10%和0.06 - 0.86%);当We≈1.0以上时,熵产增加0.14 ~ 2.08%;不可逆性位移的临界We≈1.0;磁热疗的熵最小化在低弹性状态下实现(We≤0.1)。控制方程的新颖性需要通过计算解的残差评估来验证。
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引用次数: 0
Effects of surface heat transfer on the dynamic stall performance of a pitching airfoil in turbulent flow 紊流中表面传热对俯仰翼型动态失速性能的影响
Q1 Chemical Engineering Pub Date : 2025-11-17 DOI: 10.1016/j.ijft.2025.101496
Abbas Dorri, Masoud Darbandi
The dynamic stall phenomenon has been extensively studied in literature. Despite various innovative interventions focused on understanding its behavior, there are few efforts to study the influence of heat transfer on the dynamic stall performance of pitching airfoils, particularly in turbulent flows. This work investigates the effects of surface temperature variations on the dynamic stall of a NACA 0012 pitching airfoil at Re = 135,000. The temperature difference between the airfoil surface and the freestream temperatures was ΔT= 50, 100, and 150 K. The flow field around the airfoil was simulated using the computational fluid dynamics, and solving the Navier-Stokes equations incorporated with the k-ω/SST turbulence model. After validating the thermo-fluid solver, the aerodynamic response of the pitching airfoil was analyzed under upper surface cooling (USC) and upper surface heating (USH). The results showed that despite changes in the surface temperature, the drag coefficient remained nearly unchanged in both cases. However, the lift coefficient increased in USC and decreased in USH. In USC, the aerodynamic performance improved as much as 6.2 % at ΔT = 150 K. However, it was not affected that much in USH by varying ΔT. The USC tended to keep the flow attached to the surface, increasing the skin friction drag and lowering the pressure drag. The local Reynolds number increased since the USC raised the airflow velocity over the airfoil. Conversely, USH led to opposite effects on the flow characteristics. Overall, unlike USH, USC improved the dynamic stall performance of the pitching airfoil in the turbulent flow. The findings indicate that the airfoil’s surface heat transfer can effectively manipulate the dynamic stall behavior, offering a promising strategy for dynamic stall control in aeronautical applications.
动态失速现象在文献中得到了广泛的研究。尽管各种创新的干预措施都集中在了解其行为上,但很少有人研究传热对俯仰翼型动态失速性能的影响,特别是在湍流中。本文研究了在Re = 135,000时,表面温度变化对NACA 0012俯仰翼型动态失速的影响。翼型表面和自由流温度之间的温差ΔT= 50,100和150k。采用计算流体力学方法对翼型周围流场进行了模拟,并结合k-ω/SST湍流模型求解了Navier-Stokes方程。在对热流体求解器进行验证后,对俯仰翼型在上表面冷却(USC)和上表面加热(USH)条件下的气动响应进行了分析。结果表明,尽管表面温度发生了变化,但两种情况下的阻力系数基本保持不变。然而,升力系数在USC增大,在USH减小。在USC中,在ΔT = 150 K时,气动性能提高了6.2%。然而,在USH中,它并没有受到ΔT变化的太大影响。USC倾向于保持流体附着在表面,增加了表面摩擦阻力,降低了压力阻力。由于USC提高了翼型上方的气流速度,因此局部雷诺数增加。相反,USH对流动特性的影响正好相反。总的来说,与USH不同,USC改善了俯仰翼型在湍流中的动态失速性能。研究结果表明,翼型表面换热可以有效地控制飞机的动态失速行为,为航空应用中的动态失速控制提供了一种很有前景的策略。
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引用次数: 0
Heat and mass transmission in Maxwell nanofluid flow over an exponential stretchable surface with swimming of motile gyrotactic microorganisms 麦克斯韦纳米流体在指数可拉伸表面上的传热和传质
Q1 Chemical Engineering Pub Date : 2025-11-01 DOI: 10.1016/j.ijft.2025.101466
Nisha Chouhan , Reema Jain , K. Loganathan , S. Eswaramoorthi
The flow of nanofluid across an exponential stretchable surface becoming a growing topic in past few decades due to its numerous usages in industrial and engineering areas. Particularly, glass blowing, polymer extrusion, wire drawing, hot rolling, annealing, etc. This communication mainly focuses on the flow of Maxwell nanofluid via an exponential stretchable surface with magnetic impact and heat consumption. Thermophoresis and Brownian motion are also considered with the existence of heat radiation and fluid dissipation in a two dimensional model with gyrotactic microorganisms. The nonlinear governing models are changed into an ordinary differential models by incorporating the appropriate translation variables. The remodeled equations are numerically computed by utilizing the bvp4c approach in MATLAB. The impact of the physical features on velocity, temperature, nanofluid concentration, and microorganisms profiles, as well as the skin friction coefficient, Nusselt, Sherwood and motile density numbers are evaluated. Further, findings revealed that the fluid velocity diminishes when enriching the values of the magnetic and material parameters. The thermophoresis parameter causes the nanofluid temperature and concentration profiles to develop. The microorganisms profile declines when enriching the Peclet and Lewis numbers. The radiation parameter improves the heat and mass transference rates. The motile density number develops for greater quantity of the microorganism difference parameter with the presence of the Peclet number.
由于纳米流体在工业和工程领域的广泛应用,在过去的几十年里,纳米流体在指数可拉伸表面上的流动成为一个日益增长的话题。特别是玻璃吹制、聚合物挤出、拉丝、热轧、退火等。本文主要讨论了麦克斯韦纳米流体在具有磁冲击和热消耗的指数可拉伸表面上的流动。在具有回旋性微生物的二维模型中,还考虑了热辐射和流体耗散的存在下的热泳动和布朗运动。通过引入适当的平移变量,将非线性控制模型转化为常微分模型。利用MATLAB中的bvp4c方法对重构方程进行了数值计算。评估了物理特征对速度、温度、纳米流体浓度、微生物分布以及表面摩擦系数、努塞尔、舍伍德和运动密度数的影响。此外,研究结果表明,随着磁性参数和材料参数的增加,流体速度减小。热泳参数引起纳米流体的温度和浓度分布。当增加Peclet和Lewis数时,微生物剖面下降。辐射参数提高了传热传质率。随着Peclet数的存在,微生物差异参数的数量增大,运动密度数也随之增大。
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引用次数: 0
Carbon emission reduction potential calculation method based on rapid selection of carbon emission factors and time series analysis 基于碳排放因子快速选取和时间序列分析的碳减排潜力计算方法
Q1 Chemical Engineering Pub Date : 2025-11-01 DOI: 10.1016/j.ijft.2025.101463
Zhibin Yan , Xuwei Xia , Shuang Zhang , Dongge Zhu
The current calculation method struggles to ensure data integrity and consistency and overlooks the combined effects of other influencing factors, leading to results that fail to fully reflect the actual carbon emission reduction situation. Therefore, a method for calculating carbon emission reduction potential based on rapid selection of carbon emission factors and time series analysis is proposed. A comprehensive and systematic carbon emission inventory is established, carbon emission coefficients are accounted for, carbon emission intensity is calculated, and a real-time carbon emission calculation model is constructed. Using the autoregressive distributed lag model from time series analysis, a model for predicting energy consumption and industrial output based on electricity consumption is developed. Multiple methods for selecting energy carbon emission factors are introduced, the most reasonable carbon emission factor is selected, a carbon emission efficiency evaluation model is constructed, and the carbon reduction potential is calculated. Experimental results indicate that the carbon emissions per 10,000 yuan of output value obtained by the proposed method remain below 0.8 t, demonstrating the highest emission reduction potential across all years. The carbon emission factor remains lower than 65, and the carbon emission efficiency exceeds 0.8, reaching a maximum of 0.98.
目前的计算方法难以保证数据的完整性和一致性,忽略了其他影响因素的综合作用,导致计算结果不能充分反映实际的碳减排情况。为此,提出了一种基于碳排放因子快速选择和时间序列分析的碳减排潜力计算方法。建立全面系统的碳排放清单,核算碳排放系数,计算碳排放强度,构建实时碳排放计算模型。利用时间序列分析的自回归分布滞后模型,建立了基于用电量的能源消耗和工业产出预测模型。介绍了多种选择能源碳排放因子的方法,选取了最合理的碳排放因子,构建了碳排放效率评价模型,计算了碳减排潜力。实验结果表明,采用该方法计算的万元产值碳排放量保持在0.8 t以下,历年减排潜力最大。碳排放系数保持在65以下,碳排放效率超过0.8,最高达到0.98。
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引用次数: 0
Analytical and numerical investigation of MHD viscoelastic flow with heat and mass transfer in an asymmetric wavy channel 非对称波状通道中MHD粘弹性传热传质流动的分析与数值研究
Q1 Chemical Engineering Pub Date : 2025-11-01 DOI: 10.1016/j.ijft.2025.101456
Ali Ahmadi Azar
This study presents a comprehensive analytical and numerical investigation of magnetohydrodynamic (MHD) viscoelastic fluid flow with heat and mass transfer in an asymmetric wavy channel. The primary objective is to explore the behavior of chemically reactive, thermally radiating non-Newtonian fluids under complex boundary conditions and oscillatory pressure gradients. A distinctive feature of this work lies in the formulation and solution of complex differential equations, which are decomposed into real and imaginary components to capture the full dynamics of the system. Three solution techniques—including one exact analytical and two semi-analytical methods—are employed, enabling a robust validation framework. The novelty of the study stems from the comparative analysis of semi-analytical methods against exact solutions, offering a unique benchmark for future modeling efforts. Parametric studies reveal that specific physical parameters selectively influence either the real or imaginary components of velocity, temperature, and concentration fields. These findings have direct relevance to engineering applications such as thermal management, biomedical flows, and porous media transport.
本文对非对称波状通道中具有传热传质特性的磁流体动力学粘弹性流体流动进行了全面的分析和数值研究。主要目的是探索化学反应,热辐射非牛顿流体在复杂边界条件和振荡压力梯度下的行为。这项工作的一个显著特点在于复杂微分方程的公式和解,这些方程被分解为实分量和虚分量,以捕捉系统的全部动态。采用了三种解决方案技术(包括一种精确分析方法和两种半分析方法),从而实现了健壮的验证框架。该研究的新颖性源于对精确解的半解析方法的比较分析,为未来的建模工作提供了独特的基准。参数研究表明,特定的物理参数选择性地影响速度、温度和浓度场的真实或虚构分量。这些发现与热管理、生物医学流动和多孔介质传输等工程应用直接相关。
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引用次数: 0
期刊
International Journal of Thermofluids
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