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In-silico study of intratumoural magnetic hyperthermia in thermoporoelastic liver tissues using Fe3O4 nanoparticles 利用Fe3O4纳米颗粒在热孔弹性肝组织中进行肿瘤内磁热疗的计算机研究
IF 2.6 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-01-15 DOI: 10.1016/j.ijheatfluidflow.2026.110264
Stephon De Souze, Victor M. Job, Mahesha Narayana
In the present study, the effects of magnetic field strength, nanoparticle magnetization, natural convection, tumour blood retention capacity and tumour rigidity on magnetic hyperthermia cancer therapy in malignant liver tissues in a solenoidal magnetic field are considered. The liver tissue region is modelled as a thermoporoelastic healthy liver tissue surrounding a cancerous region. This is achieved by using the Navier–Cauchy equations to describe the deformation of the tissues, Darcy’s law to describe the fluid flow, continuity equation to describe the conservation of mass and the energy equation to describe the temperature distribution within our system. A finite element/finite difference scheme for this system of equations is constructed and implemented via MATLAB R2024a, and the results are simulated graphically. It was found that an increase in magnetic field strength or nanoparticle magnetization significantly increases the tissue temperature and the chance of tissue death within our system. Moreover, it also significantly increases the deformation of the tissues and interstitial blood pressure. Although the blood retention and rigidity of the tumour significantly affect the local blood pressure and the deformation, they have a negligible effect of the temperature and tissue cell death. The major implication of these findings is that the effectiveness of this therapy is not significantly impacted by tumour blood retention capacity or tumour rigidity, but is greatly affected by the magnetic field strength and nanoparticle magnetization.
在本研究中,考虑磁场强度、纳米粒子磁化、自然对流、肿瘤血液潴留能力和肿瘤刚性对电磁磁场下恶性肝组织磁热疗癌症治疗的影响。肝组织区域被建模为围绕癌区域的热孔弹性健康肝组织。这是通过使用纳维-柯西方程来描述组织的变形,达西定律来描述流体流动,连续性方程来描述质量守恒,能量方程来描述系统内的温度分布来实现的。利用MATLAB R2024a构建了该方程组的有限元/有限差分格式,并对结果进行了图形仿真。研究发现,磁场强度或纳米颗粒磁化强度的增加会显著增加我们体内组织的温度和组织死亡的几率。此外,它还显著增加组织变形和间质血压。虽然肿瘤的血液潴留和刚性显著影响局部血压和变形,但它们对温度和组织细胞死亡的影响可以忽略不计。这些发现的主要含义是,这种治疗的有效性不受肿瘤血液潴留能力或肿瘤硬度的显著影响,但受到磁场强度和纳米颗粒磁化的极大影响。
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引用次数: 0
Heat transfer and ablation behaviors of the C/SiC-HfB2-HfC composite leading-edge strut in hypersonic air-breathing engine combustor environment C/SiC-HfB2-HfC复合前缘支板在高超声速吸气式发动机燃烧室环境下的传热与烧蚀行为
IF 2.6 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-01-12 DOI: 10.1016/j.ijheatfluidflow.2026.110261
Zheng Zhao , Jiangyi He , Running Wang , Tingting Jing , Xing Sun , Jiaping Zhang
Struts are usually adopted in hypersonic engines for efficient fuel injection. Sufficient thermal protection is need for injection struts under extremely high temperature gas scouring environment. The objective of this study is to verify the reliability of the C/SiC-HfB2-HfC composite leading-edge strut under Ma6 engine combustor operation conditions. The heat transfer and ablation behaviors of the strut were investigated numerically and experimentally. The experimental results demonstrated that, under conditions of maximum temperature of ∼2800 K and maximum transient heat flux of ∼6 MW/m 2, only minor scouring marks were found at specific locations on the composite leading edge of the strut. Microscopic morphology analysis revealed that the ablation damage to the strut was predominantly concentrated at the leading edge stagnation point, with the maximum ablation depth being approximately 760 μm. Furthermore, the solid-phase HfO2 produced by the oxidation of ultra-high temperature phases such as HfC and HfB2 can effectively fix the SiO2 in the oxide layer, thereby reducing the ablation rate of the leading edge.
高超声速发动机通常采用支板来提高燃油喷射效率。在极高温气体冲刷环境下,喷射支撑需要足够的热防护。本研究的目的是验证C/SiC-HfB2-HfC复合材料前缘支板在Ma6发动机燃烧室工况下的可靠性。对支板的传热和烧蚀行为进行了数值和实验研究。实验结果表明,在最高温度为~ 2800 K,最大瞬态热流密度为~ 6 MW/ m2的条件下,在复合材料前缘的特定位置只发现了轻微的冲刷痕迹。微观形貌分析表明,支板的烧蚀损伤主要集中在前缘驻点处,最大烧蚀深度约为760 μm。此外,超高温相HfC和HfB2氧化生成固相HfO2可以有效地将SiO2固定在氧化层中,从而降低了前缘的烧蚀速率。
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引用次数: 0
Performance prediction and optimization method of DIR-SOFC based on GA-optimized BP neural network: A case study of multi-component fuel 基于ga优化BP神经网络的DIR-SOFC性能预测与优化方法——以多组分燃料为例
IF 2.6 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-01-10 DOI: 10.1016/j.ijheatfluidflow.2026.110254
Jianfei Zhang, Weiwen Chen, Guomeng Wei, Zhiguo Qu
The direct internally reformed solid oxide fuel cell (DIR-SOFC) has the advantages of wide fuel adaptability and high power generation efficiency. Rapid performance prediction and optimization methods play a very important role in reducing performance improvement of SOFC. In this paper, a DIR-SOFC performance prediction and optimization method based on GA-optimized BP neural network was proposed. Using multi-component fuel as a case, 2060 analysis samples were established by 3D numerical simulation, and the current density and temperature of the DIR-SOFC under different fuel components were predicted and optimized by the proposed method. The results show that this method has the advantages of strong generalization ability, high prediction accuracy and fast calculation speed. Aiming for higher current density and lower maximum temperature gradient, the method is applied to achieve optimization combination of fuel components (H2O, NH3, H2, CO, CH4). At an operating voltage of 0.7 V, the optimal fuel ratio is determined as 0.6% H2O, 25.6% H2, 29% CO, 29.4% CH4 and 15.4% NH3. The current density is 3336 A·m−2 and the maximum temperature gradient is 169618 K·m−1. In addition, the weight analysis method was used to study the influence degree of fuel composition on power generation performance. It is found that increasing the volume fraction of H2O and NH3 in the fuel reduces the power generation performance, while increasing the volume fraction of H2, CO and CH4 in the fuel improves the power generation performance. Increasing the volume fraction of H2O decreases the maximum temperature gradient while other gases increase it. These conclusions are consistent with the results obtained by the prediction method, which proves the consistency of the proposed method with the physical mechanism. This study has guiding significance for optimizing the operating conditions of DIR-SOFC.
直接内转化固体氧化物燃料电池(DIR-SOFC)具有燃料适应性广、发电效率高等优点。快速的性能预测和优化方法对降低SOFC的性能改进起着非常重要的作用。提出了一种基于ga优化BP神经网络的DIR-SOFC性能预测与优化方法。以多组分燃料为例,通过三维数值模拟建立了2060个分析样品,并利用该方法对不同燃料组分下DIR-SOFC的电流密度和温度进行了预测和优化。结果表明,该方法具有泛化能力强、预测精度高、计算速度快等优点。以更高的电流密度和更低的最大温度梯度为目标,应用该方法实现了燃料组分(H2O、NH3、H2、CO、CH4)的优化组合。在0.7 V工作电压下,最佳燃料比为:H2O 0.6%、H2 25.6%、CO 29%、CH4 29.4%、NH3 15.4%。电流密度为3336 A·m−2,最大温度梯度为169618 K·m−1。此外,采用权重分析法研究了燃料成分对发电性能的影响程度。研究发现,增加燃料中H2O和NH3的体积分数会降低发电性能,而增加燃料中H2、CO和CH4的体积分数会提高发电性能。增加H2O的体积分数降低了最大温度梯度,而其他气体的体积分数增加了最大温度梯度。这些结论与预测方法的结果一致,证明了所提方法与物理机理的一致性。本研究对优化DIR-SOFC的运行条件具有指导意义。
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引用次数: 0
Investigation of heat transfer and flow structure around a grooved surface cylinder 槽面圆柱的传热与流动结构研究
IF 2.6 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-01-09 DOI: 10.1016/j.ijheatfluidflow.2026.110246
Pooja Thakur , Yugal Sharma , Aruna Thakur
This study investigates the effects of flow and thermal characteristics around a circular cylinder with varying roughness heights, situated in a Bingham plastic fluid. Numerical simulations were performed across the following parameter ranges: 0.1 ≤ Re ≤ 40, 0.7 ≤ Pr ≤ 100, 0 ≤ Bn ≤ 100, and 0 ≤ ε/D ≤ 0.5. The numerical results were validated against existing literature. The analysis includes local and average drag force, streamlines, pressure contours, local and average Nusselt numbers, and isotherms. For ε/D ≤ 0.1, the drag coefficient of the rough-surfaced cylinder exceeds that of the smooth cylinder. Conversely, for ε/D > 0.1, the rough cylinder exhibits a lower drag coefficient than the smooth cylinder. The influence of roughness on the Nusselt number follows a similar pattern. These findings highlight the dependence of conduction and convection heat transfer modes on inertial forces, viscous forces, yield stress effects, and surface texture. A regression technique was employed to develop a correlation for the Nusselt number based on the numerical data, which also reveals discrepancies associated with surface roughness. Additionally, for Bingham plastic fluids, the effect of roughness on drag and the Nusselt number is negligible at low Reynolds numbers. However, for larger roughness and Reynolds numbers (ε/D = 0.1 and Re = 10), significant variations are observed.
本研究探讨了宾厄姆塑性流体中不同粗糙度圆柱周围流动和热特性的影响。在0.1≤Re≤40,0.7≤Pr≤100,0≤Bn≤100,0≤ε/D≤0.5的参数范围内进行了数值模拟。数值结果与已有文献进行了对比验证。分析包括局部和平均阻力、流线、压力轮廓、局部和平均努塞尔数以及等温线。当ε/D≤0.1时,表面粗糙的圆柱体阻力系数大于表面光滑的圆柱体。相反,当ε/D >; 0.1时,粗糙圆柱体的阻力系数低于光滑圆柱体。粗糙度对努塞尔数的影响遵循类似的模式。这些发现强调了传导和对流传热模式对惯性力、粘性力、屈服应力效应和表面纹理的依赖。采用回归技术建立了基于数值数据的努塞尔数的相关性,这也揭示了与表面粗糙度相关的差异。此外,对于Bingham塑性流体,粗糙度对阻力和努塞尔数的影响在低雷诺数下可以忽略不计。然而,对于较大的粗糙度和雷诺数(ε/D = 0.1和Re = 10),可以观察到显著的变化。
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引用次数: 0
Research on modeling In-Hole large scale roughness elements of film cooling holes to replicate film cooling performance 模拟气膜冷却孔内大尺度粗糙度元模拟气膜冷却性能的研究
IF 2.6 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-01-09 DOI: 10.1016/j.ijheatfluidflow.2026.110252
Qian Wang , Pingting Chen , Xiaoqi Sun , Simou Sun , Junkui Mao
Additive manufacturing (AM) enables advanced design freedom for turbine film cooling components but concurrently introduces significant in-hole surface roughness, which critically affects cooling performance. Accurately modeling these large-scale roughness features is essential for predictive simulations, yet the validity of various modeling approaches remains insufficiently explored. This study numerically investigates three distinct roughness modeling methodologies: the equivalent sand-grain roughness (ks) method, a stepped roughness method, and an analog roughness method based on an autocorrelation function. Using Computational Fluid Dynamics (CFD), the performance of these models was benchmarked against a synthetically generated “real roughness” hole at blowing ratios (M) of 0.5, 1.0, and 1.5. Results reveal that the in-hole roughness creates asymmetric velocity distributions, altering downstream vortex structures and, in some cases, enhancing lateral average film cooling effectiveness (ηl) compared to a smooth hole. Notably, only the analog roughness model generated via the autocorrelation function successfully replicated the performance and flow physics of the “real roughness” hole. In contrast, the equivalent sand-grain and stepped roughness models predicted a degradation in cooling effectiveness, failing to capture the complex underlying flow phenomena. This work demonstrates the potential of the autocorrelation function approach as a promising tool for characterizing the aero-thermal impact of large-scale AM-induced roughness, highlighting the limitations of simpler, conventional models.
增材制造(AM)为涡轮气膜冷却部件提供了先进的设计自由度,但同时也引入了显著的孔内表面粗糙度,严重影响冷却性能。准确地模拟这些大尺度粗糙度特征对于预测模拟至关重要,然而各种建模方法的有效性仍然没有得到充分的探索。本文对三种不同的粗糙度建模方法进行了数值研究:等效沙粒粗糙度(ks)法、阶梯粗糙度法和基于自相关函数的模拟粗糙度法。利用计算流体动力学(CFD),在吹气比(M)为0.5、1.0和1.5时,对这些模型的性能进行了基准测试。结果表明,孔内粗糙度造成了不对称的速度分布,改变了下游涡结构,在某些情况下,与光滑孔相比,提高了横向平均气膜冷却效率(ηl)。值得注意的是,只有通过自相关函数生成的模拟粗糙度模型才能成功地复制“真实粗糙度”孔的性能和流动物理。相比之下,等效沙粒和阶梯粗糙度模型预测了冷却效率的下降,未能捕捉复杂的底层流动现象。这项工作证明了自相关函数方法作为表征大规模am诱导粗糙度的气动热影响的有前途的工具的潜力,突出了更简单的传统模型的局限性。
{"title":"Research on modeling In-Hole large scale roughness elements of film cooling holes to replicate film cooling performance","authors":"Qian Wang ,&nbsp;Pingting Chen ,&nbsp;Xiaoqi Sun ,&nbsp;Simou Sun ,&nbsp;Junkui Mao","doi":"10.1016/j.ijheatfluidflow.2026.110252","DOIUrl":"10.1016/j.ijheatfluidflow.2026.110252","url":null,"abstract":"<div><div>Additive manufacturing (AM) enables advanced design freedom for turbine film cooling components but concurrently introduces significant in-hole surface roughness, which critically affects cooling performance. Accurately modeling these large-scale roughness features is essential for predictive simulations, yet the validity of various modeling approaches remains insufficiently explored. This study numerically investigates three distinct roughness modeling methodologies: the equivalent sand-grain roughness (<em>k<sub>s</sub></em>) method, a stepped roughness method, and an analog roughness method based on an autocorrelation function. Using Computational Fluid Dynamics (CFD), the performance of these models was benchmarked against a synthetically generated “real roughness” hole at blowing ratios (<em>M</em>) of 0.5, 1.0, and 1.5. Results reveal that the in-hole roughness creates asymmetric velocity distributions, altering downstream vortex structures and, in some cases, enhancing lateral average film cooling effectiveness (<em>η<sub>l</sub></em>) compared to a smooth hole. Notably, only the analog roughness model generated via the autocorrelation function successfully replicated the performance and flow physics of the “real roughness” hole. In contrast, the equivalent sand-grain and stepped roughness models predicted a degradation in cooling effectiveness, failing to capture the complex underlying flow phenomena. This work demonstrates the potential of the autocorrelation function approach as a promising tool for characterizing the aero-thermal impact of large-scale AM-induced roughness, highlighting the limitations of simpler, conventional models.</div></div>","PeriodicalId":335,"journal":{"name":"International Journal of Heat and Fluid Flow","volume":"119 ","pages":"Article 110252"},"PeriodicalIF":2.6,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145923209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The optimized design and heat transfer characteristics of helical groove tubes: A study based on parameter estimation, continuous adjoint optimization, and physics-informed neural networks 螺旋槽管的优化设计与传热特性:基于参数估计、连续伴随优化和物理信息神经网络的研究
IF 2.6 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-01-09 DOI: 10.1016/j.ijheatfluidflow.2026.110251
Shuo Wang , Lin Wan , Hongchao Wang , Gang Che , Yan Li , Tingbo Du , Chaofan Wang
To enhance the heat transfer performance of heat exchange tubes and address the research gap in the coupling of structural parameters, operating parameters, and energy efficiency indicators between Parameter Estimation (PE) and Continuous Adjoint Optimization (CADJ) in heat exchange tubes, this study focuses on the helical groove tube in a novel gas-phase rotary shell-and-tube heat exchanger. The study sequentially applies PE and CADJ methods for optimization design, resulting in a new type of highly efficient heat exchange tube. Based on the thermal performance-to-pressure drop loss ratio, Computational Fluid Dynamics software is used to quantitatively assess the heat exchange tube’s energy efficiency and systematically analyze its heat transfer characteristics. Additionally, a physics-informed neural network (PINN) is employed to solve the Navier-Stokes equations and reconstruct the two-dimensional temperature field, thereby cross-validating the CFD results in the absence of experimental validation and enhancing the robustness of the optimized design conclusions. The results indicate a strong correlation between various parameters, including tube inner diameter, groove depth, pitch, air velocity, inlet fluid temperature, and tube wall temperature, and the heat transfer characteristics, with correlation coefficients of 0.9799, 0.9957, 0.9897, and 0.9989, respectively. It was found that enhancing the Nusselt number comes at the cost of increased pressure drop. Compared to the helical groove tube, the novel heat exchanger tube exhibits superior performance in both heat transfer efficiency and energy efficiency, with improvements in the Nusselt number, pressure drop, and the ratio of thermal efficiency to pressure drop by 22.03 %, 22.88 %, and 58.51 %, respectively. The superior performance of the new heat exchanger tube is attributed to the continuous optimization of the helical groove tube’s inner wall morphology using the CADJ method, which maintains the basic structure of the internal helical ribs. This optimization strengthens the vortex flow structure while effectively preserving the smooth flow path of the fluid. Additionally, in the absence of experimental validation, the discrepancy between the PINN-reconstructed temperature field and the CFD solution remains on the order of 10−1, indicating that employing PINN for cross-validation and auxiliary assessment of CFD results provides a simple yet efficient alternative approach. This study presents a reasonable, novel, and practical optimization strategy to improve the heat transfer performance and energy efficiency of heat exchange tubes, offering significant practical application value.
为了提高换热管的换热性能,解决换热管中参数估计(PE)与连续伴随优化(CADJ)在结构参数、运行参数和能效指标耦合方面的研究空白,本文以新型气相旋转管壳式换热器中的螺旋槽管为研究对象。本研究依次应用PE和CADJ方法进行优化设计,得到了一种新型高效换热管。基于热工性能与压降损失比,利用计算流体动力学软件定量评估换热管的能效比,系统分析换热管的换热特性。此外,利用物理信息神经网络(PINN)求解Navier-Stokes方程并重构二维温度场,从而在缺乏实验验证的情况下对CFD结果进行交叉验证,增强优化设计结论的鲁棒性。结果表明:管道内径、槽深、节距、风速、进口流体温度和管壁温度等参数与换热特性有较强的相关性,相关系数分别为0.9799、0.9957、0.9897和0.9989。研究发现,提高努塞尔数是以增加压降为代价的。与螺旋槽管相比,新型换热管在换热效率和能量效率方面均表现出优异的性能,努塞尔数、压降和热效率/压降比分别提高了22.03%、22.88%和58.51%。新型换热管的优越性能得益于利用CADJ方法对螺旋槽管内壁形貌进行持续优化,保持了内部螺旋肋的基本结构。这种优化加强了涡流结构,同时有效地保持了流体的平滑流动路径。此外,在没有实验验证的情况下,PINN重建的温度场与CFD解之间的差异仍然在10−1左右,这表明使用PINN进行CFD结果的交叉验证和辅助评估提供了一种简单而有效的替代方法。本研究提出了一种合理、新颖、实用的优化策略,提高换热管的传热性能和能效,具有重要的实际应用价值。
{"title":"The optimized design and heat transfer characteristics of helical groove tubes: A study based on parameter estimation, continuous adjoint optimization, and physics-informed neural networks","authors":"Shuo Wang ,&nbsp;Lin Wan ,&nbsp;Hongchao Wang ,&nbsp;Gang Che ,&nbsp;Yan Li ,&nbsp;Tingbo Du ,&nbsp;Chaofan Wang","doi":"10.1016/j.ijheatfluidflow.2026.110251","DOIUrl":"10.1016/j.ijheatfluidflow.2026.110251","url":null,"abstract":"<div><div>To enhance the heat transfer performance of heat exchange tubes and address the research gap in the coupling of structural parameters, operating parameters, and energy efficiency indicators between Parameter Estimation (PE) and Continuous Adjoint Optimization (CADJ) in heat exchange tubes, this study focuses on the helical groove tube in a novel gas-phase rotary shell-and-tube heat exchanger. The study sequentially applies PE and CADJ methods for optimization design, resulting in a new type of highly efficient heat exchange tube. Based on the thermal performance-to-pressure drop loss ratio, Computational Fluid Dynamics software is used to quantitatively assess the heat exchange tube’s energy efficiency and systematically analyze its heat transfer characteristics. Additionally, a physics-informed neural network (PINN) is employed to solve the Navier-Stokes equations and reconstruct the two-dimensional temperature field, thereby cross-validating the CFD results in the absence of experimental validation and enhancing the robustness of the optimized design conclusions. The results indicate a strong correlation between various parameters, including tube inner diameter, groove depth, pitch, air velocity, inlet fluid temperature, and tube wall temperature, and the heat transfer characteristics, with correlation coefficients of 0.9799, 0.9957, 0.9897, and 0.9989, respectively. It was found that enhancing the Nusselt number comes at the cost of increased pressure drop. Compared to the helical groove tube, the novel heat exchanger tube exhibits superior performance in both heat transfer efficiency and energy efficiency, with improvements in the Nusselt number, pressure drop, and the ratio of thermal efficiency to pressure drop by 22.03 %, 22.88 %, and 58.51 %, respectively. The superior performance of the new heat exchanger tube is attributed to the continuous optimization of the helical groove tube’s inner wall morphology using the CADJ method, which maintains the basic structure of the internal helical ribs. This optimization strengthens the vortex flow structure while effectively preserving the smooth flow path of the fluid. Additionally, in the absence of experimental validation, the discrepancy between the PINN-reconstructed temperature field and the CFD solution remains on the order of 10<sup>−1</sup>, indicating that employing PINN for cross-validation and auxiliary assessment of CFD results provides a simple yet efficient alternative approach. This study presents a reasonable, novel, and practical optimization strategy to improve the heat transfer performance and energy efficiency of heat exchange tubes, offering significant practical application value.</div></div>","PeriodicalId":335,"journal":{"name":"International Journal of Heat and Fluid Flow","volume":"119 ","pages":"Article 110251"},"PeriodicalIF":2.6,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145923210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Numerical investigation on compound heat-transfer enhancement in pin-fin-enhanced double-layer staggered-cavity microchannels 针翅强化双层交错腔微通道复合传热强化的数值研究
IF 2.6 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-01-09 DOI: 10.1016/j.ijheatfluidflow.2026.110250
Tianyu Wu, Yuhao Gao, Xinxin Ren, Jianqiu Zhou
To satisfy the ever-increasing heat flux (>1 kW cm−2) of high-power microelectronics, we perform steady, laminar CFD simulations (validated against existing experiments with friction-factor deviations within 6.9 % and Nusselt-number deviations within 2.4 %) to compare three microchannel architectures: (i) straight rectangular, (ii) double-layer staggered-cavity, and (iii) staggered-cavity with circular pin–fin ribs. For the first time, systematic parametric sweeps (Re = 100–800, cavity depth = 30–70 µm, cavity-pitch-to-hydraulic-diameter ratio = 0.03–0.12) quantify the synergistic boundary-layer disruption generated by cavity-driven vortices and the jet-impingement/recirculation induced by pin fins. Compared with the straight channel, the composite design increases Nu by 9.6–19.8 % while raising the Darcy friction factor by 26–52 %. When both geometries are compared at equal pumping power (PEC), the composite channel yields superior thermo-hydraulic performance below Re ≈ 300 (maximum PEC = 1.13 at Re = 300, depth = 60 µm, pitch/Dh = 0.06), whereas the cavity-only configuration becomes advantageous at higher Reynolds numbers, offering clear design guidelines for practical applications.
为了满足大功率微电子不断增加的热流(>1 kW cm−2),我们进行了稳定的层流CFD模拟(根据现有实验验证,摩擦因子偏差在6.9%以内,努selselt数偏差在2.4%以内)来比较三种微通道架构:(i)直矩形,(ii)双层交错腔,(iii)带圆形鳍状肋的交错腔。系统参数扫描(Re = 100-800,空腔深度= 30-70µm,空腔距-水力-直径比= 0.03-0.12)首次量化了由空腔驱动的涡流和针翼诱导的射流撞击/再循环所产生的协同边界层破坏。与直通道相比,复合设计使Nu提高了9.6 ~ 19.8%,达西摩擦系数提高了26 ~ 52%。当两种几何形状在等泵功率(PEC)下进行比较时,复合通道在Re≈300以下具有优越的热水力性能(Re = 300时最大PEC = 1.13,深度= 60µm,节距/Dh = 0.06),而在更高雷诺数下,仅空腔结构具有优势,为实际应用提供了明确的设计指导。
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引用次数: 0
Numerical study of flow and heat transfer performance in a novel microchannel under pulsating flow conditions 脉动流动条件下新型微通道内流动与换热性能的数值研究
IF 2.6 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-01-08 DOI: 10.1016/j.ijheatfluidflow.2025.110228
Chunquan Li, Jirong Huang, Yilong Hu, Cailin Li, Hongyan Huang
This paper presents a numerical study of the flow and heat transfer performance of a trapezoidal cavity rib-double rectangular circular fin microchannel heat sink (TR-DRRF) combined with a pulsating fluid. The SIMPLEC algorithm is adopted for the pressure–velocity coupling using second order upwind discretization equations. The TR-DRRF microchannel is analyzed in comparison with straight rectangular microchannel (SR), trapezoidal cavity fin microchannel (TR) and trapezoidal cavity fin-single rectangular circular fin microchannel (TR-SRRF). Results indicate that the dual rectangular circular fins of the TR-DRRF significantly increase the fluid–solid interface area, disrupt thermal boundary layer development, and alter flow field distribution. At Reynolds number (Re) = 400, its maximum temperature (Tmax) is reduced by 48 K, 15.8 K, and 5.96 K compared to SR, TR, and TR-SRRF, respectively. while the Nusselt number (Nu) increased by 88.72%, 41.76%, and 13.03%, respectively. The performance evaluation criterion (PEC) improved by over 7% compared to the other three designs. The introduction of pulsating flow significantly enhances the overall thermal performance of TR-DRRF compared to steady flow at the same Re number. The core mechanism involves the sustained development of the flow boundary layer and the generation of secondary flow/counterflow. Among these, square-wave pulsed flow exhibits the most effective heat transfer enhancement. Pulsation parameters exert distinct effects: frequencies in the range of 0.2–5 Hz impair heat transfer, whereas those in the range of 5–70 Hz enhance it. Increasing frequency enhances overall heat dissipation performance (PEC outperforms steady flow at f > 10 Hz). Increasing amplitude (0.2–1.2 m/s) enhances heat transfer (reducing Tmax by up to 2.1 K) but increases pressure loss. Only when amplitude < 0.7 m/s does the overall performance surpass steady flow.
本文对梯形腔肋-双矩形圆鳍微通道散热器(TR-DRRF)与脉动流体结合的流动和换热性能进行了数值研究。采用SIMPLEC算法对二阶迎风离散方程进行压力-速度耦合。将TR- drrf微通道与直矩形微通道(SR)、梯形腔鳍微通道(TR)和梯形腔鳍-单矩形圆鳍微通道(TR- srrf)进行对比分析。结果表明,TR-DRRF的双矩形圆翅片显著增加了流固界面面积,破坏了热边界层的发育,改变了流场分布。在雷诺数(Re) = 400时,其最高温度(Tmax)比SR、TR和TR- srrf分别降低了48 K、15.8 K和5.96 K。努塞尔数(Nu)分别提高了88.72%、41.76%和13.03%。性能评价标准(PEC)比其他三种设计提高了7%以上。与相同雷诺数下的稳态流动相比,脉动流动的引入显著提高了TR-DRRF的整体热性能。其核心机制涉及流动边界层的持续发展和二次流/逆流的产生。其中,方波脉冲流表现出最有效的强化传热。脉动参数对传热的影响明显:0.2-5 Hz范围内的脉动参数对传热不利,而5-70 Hz范围内的脉动参数对传热有促进作用。增加频率提高整体散热性能(PEC优于稳定流在f >; 10赫兹)。增加振幅(0.2-1.2 m/s)可以增强传热(最大热值降低2.1 K),但会增加压力损失。只有当振幅<; 0.7 m/s时,整体性能才会超过稳流。
{"title":"Numerical study of flow and heat transfer performance in a novel microchannel under pulsating flow conditions","authors":"Chunquan Li,&nbsp;Jirong Huang,&nbsp;Yilong Hu,&nbsp;Cailin Li,&nbsp;Hongyan Huang","doi":"10.1016/j.ijheatfluidflow.2025.110228","DOIUrl":"10.1016/j.ijheatfluidflow.2025.110228","url":null,"abstract":"<div><div>This paper presents a numerical study of the flow and heat transfer performance of a trapezoidal cavity rib-double rectangular circular fin microchannel heat sink (TR-DRRF) combined with a pulsating fluid. The SIMPLEC algorithm is adopted for the pressure–velocity coupling using second order upwind discretization equations. The TR-DRRF microchannel is analyzed in comparison with straight rectangular microchannel (SR), trapezoidal cavity fin microchannel (TR) and trapezoidal cavity fin-single rectangular circular fin microchannel (TR-SRRF). Results indicate that the dual rectangular circular fins of the TR-DRRF significantly increase the fluid–solid interface area, disrupt thermal boundary layer development, and alter flow field distribution. At Reynolds number (Re) = 400, its maximum temperature (<span><math><msub><mrow><mi>T</mi></mrow><mrow><msub><mrow></mrow><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></mrow></msub></math></span>) is reduced by 48 K, 15.8 K, and 5.96 K compared to SR, TR, and TR-SRRF, respectively. while the Nusselt number (Nu) increased by 88.72%, 41.76%, and 13.03%, respectively. The performance evaluation criterion (PEC) improved by over 7% compared to the other three designs. The introduction of pulsating flow significantly enhances the overall thermal performance of TR-DRRF compared to steady flow at the same Re number. The core mechanism involves the sustained development of the flow boundary layer and the generation of secondary flow/counterflow. Among these, square-wave pulsed flow exhibits the most effective heat transfer enhancement. Pulsation parameters exert distinct effects: frequencies in the range of 0.2–5 Hz impair heat transfer, whereas those in the range of 5–70 Hz enhance it. Increasing frequency enhances overall heat dissipation performance (PEC outperforms steady flow at f <span><math><mo>&gt;</mo></math></span> 10 Hz). Increasing amplitude (0.2–1.2 m/s) enhances heat transfer (reducing <span><math><msub><mrow><mi>T</mi></mrow><mrow><msub><mrow></mrow><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></mrow></msub></math></span> by up to 2.1 K) but increases pressure loss. Only when amplitude <span><math><mo>&lt;</mo></math></span> 0.7 m/s does the overall performance surpass steady flow.</div></div>","PeriodicalId":335,"journal":{"name":"International Journal of Heat and Fluid Flow","volume":"119 ","pages":"Article 110228"},"PeriodicalIF":2.6,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145923122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Experimental investigation of flow boiling heat transfer characteristics of eco-friendly dielectric liquid in horizontal tubes 环保介质液体水平管内流动沸腾换热特性实验研究
IF 2.6 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-01-08 DOI: 10.1016/j.ijheatfluidflow.2026.110235
Yulin Zhang , Yanwei Wu , Leihu Shen , Zixuan Wang , Xia Weng , Jiaqi Li
Low-saturation pressure dielectric liquids are increasingly used in dielectric cooling systems, such as automotive and data center applications. The development of low-GWP refrigerants has introduced some with higher surface tension, which may significantly affect the heat transfer characteristics of the flow boiling process. This study systematically investigates the flow boiling heat transfer behavior of LC-50, a high surface tension, environmentally friendly dielectric liquid, in smooth horizontal copper tubes under varying heat flux, mass flux, saturation pressure, and tube diameter conditions, comparing its flow regimes and heat transfer performance with HFE-7100. The results show, as vapor quality increases, flow regimes transition from plug flow to slug flow to annular flow. Heat flux significantly influences nucleate boiling intensity, while mass flux accelerates flow regime transitions and enhances flow disturbance. Saturation pressure alters vapor properties, affecting heat transfer. Larger tube diameter weakens thin liquid film evaporation, delaying dryout. Increased surface tension suppresses heat transfer in nucleate boiling, while liquid film stability is key in dryout. Using the experimental database, the Kandlikar correlation was improved, achieving a mean absolute error of 7.37 % over 204 data points under 68 conditions, with 95.09 % of predictions within ± 15 % of experimental values. These results provide a foundation for the study of dielectric Liquids in flow boiling applications and offer guidance for future thermodynamic cycle designs in dielectric scenarios.
低饱和压力介质液体越来越多地用于电介质冷却系统,如汽车和数据中心应用。低gwp制冷剂的发展引入了一些具有较高表面张力的制冷剂,这可能会对流动沸腾过程的传热特性产生重大影响。本研究系统研究了高表面张力环保介质LC-50在不同热流密度、质量流密度、饱和压力和管径条件下在光滑水平铜管中的流动沸腾换热行为,并将其与HFE-7100的流动和换热性能进行了比较。结果表明,随着蒸汽质量的增加,流动形式从塞流到段塞流再到环空流转变。热通量对核沸腾强度有显著影响,而质量通量加速了流态转变,增强了流动扰动。饱和压力改变蒸汽性质,影响传热。较大的管径减弱了薄液膜的蒸发,延缓了干燥。表面张力的增加抑制了核沸腾过程中的传热,而液膜稳定性是干燥过程中的关键。使用实验数据库,改进了Kandlikar相关性,在68个条件下,在204个数据点上实现了7.37%的平均绝对误差,95.09%的预测在实验值的±15%以内。这些结果为研究介质液体在流动沸腾中的应用奠定了基础,并为今后介质环境下的热力学循环设计提供了指导。
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引用次数: 0
Optimizing slot design in pin-fin heat sinks: a numerical approach to lower entropy and pressure drop 翅片散热器槽型优化设计:降低熵和压降的数值方法
IF 2.6 3区 工程技术 Q2 ENGINEERING, MECHANICAL Pub Date : 2026-01-07 DOI: 10.1016/j.ijheatfluidflow.2025.110226
Md Ishtiaque Hossain , Md Samiul Haider Chowdhury , Md. Shahjahan Durjoy , Syed Shaheer Uddin Ahmed , Istiaq Jamil Siddique
Minimizing the entropy generation and pressure drop penalty during heat transfer has been a prime concern in the design of heat sinks. One way to mitigate this is to include slots in the pin fin heat sink design, which not only improves the overall heat transfer but also reduces these penalties. Present study numerically investigates the impact of six different slot designs on the conventional pin fin structure, which are venturi, circular cavity, sudden expansion, sudden contraction, linear divergence, and linear convergence. A three-dimensional computational fluid dynamics (CFD) model is used to validate the experimental investigation of a cylindrical pin–fin heat sink, considering four Reynolds numbers ranging from 8,547 to 21,367. Later, the model is utilized to examine different slot-inserted square-shaped fin structures to study the overall performance based on Nusselt number, pressure drop across the heat sink, hydrothermal performance factor (HTPF), thermal resistance, and total entropy generation. Among the six different slots, the venturi slot (VS) outperformed the rest. This configuration reports a 33.6% increase and a 29.03% decrease in HTPF and total entropy generation, respectively. As a follow-up, the VS is applied in the cylindrical pin fin (CPF) to understand the influence of the principal fin design on effective heat transfer.
在热传递过程中,最小化熵的产生和压降惩罚一直是散热器设计的主要关注点。缓解这种情况的一种方法是在引脚翅片散热器设计中加入插槽,这不仅可以改善整体传热,还可以减少这些损失。本文研究了文丘里腔、圆腔、突然膨胀、突然收缩、线性发散和线性收敛六种不同槽型设计对传统针翅结构的影响。采用三维计算流体力学(CFD)模型验证了圆柱型针翅式散热器的实验研究,考虑了8,547 ~ 21,367四个雷诺数。随后,利用该模型对不同插槽式方形翅片结构进行研究,基于努瑟尔数、散热器压降、热液性能因子(HTPF)、热阻和总熵产等指标对整体性能进行研究。在六个不同的插槽中,文丘里插槽(VS)的表现优于其他插槽。该配置报告HTPF和总熵生成分别增加了33.6%和减少了29.03%。在此基础上,对圆柱针翅(CPF)进行了实验研究,以了解主翅设计对有效传热的影响。
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引用次数: 0
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International Journal of Heat and Fluid Flow
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