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Hydrothermal behaviour of hybrid nanofluid flow in two types of shell and helical coil tube heat exchangers with a new design. Numerical approach 新型设计的两种壳管和螺旋盘管热交换器中混合纳米流体流动的水热效应。数值方法
Q1 Chemical Engineering Pub Date : 2024-10-03 DOI: 10.1016/j.ijft.2024.100902
Dheyaa J. Jasim , Seyed Hossein Hashemi Karouei , Thamer J. Mohammed , Ahmed Salah Al-Shati
High-efficiency thermal energy systems are very important in meeting the growing demand for thermal energy. As a result, several heat transfer improvements have been proposed. Some promising methods include flow heat transfer in shell and spiral tube exchangers.In a shell-and-coil heat exchanger, utilizing a meticulously designed coil instead of a basic one significantly boosts heat transfer and overall thermal efficiency. This is due to the enhanced fluid dynamics and increased turbulence facilitated by the advanced coil design, making it ideal for space-constrained applications. Moreover, the helical configuration helps minimize fouling and maintenance, and may also provide self-cleaning benefits. Consequently, helical coils are highly regarded in industrial contexts for their superior performance, maintenance ease, and design adaptability.This study conducts a numerical evaluation of the heat transfer and fluid flow properties of two distinct shell-and-coil heat exchangers with specialized designs. The fluids analyzed include water-based hybrid nanofluids, specifically Water/MgO-TiO2and Ag-HEG/water, with results compared to those obtained using pure water. The investigation spans Reynolds numbers from 500 to 2000 and is divided into two segments.The first segment examines the influence of spiral coil geometry and fluid type on the heat exchanger's endothermic performance, utilizing nanoparticle volume concentrations of φ1 = φ2 = 0.3. In the second segment, the optimal geometric and fluid model is chosen based on the findings from the first part. Following this, the impact of various hybrid nanofluids on thermal performance is assessed, comparing fluids with volume concentrations of φ1 = φ2 = 0.3 to pure water (φ1 = φ2 = 0).The findings reveal that Case [A], featuring a unique geometry with Water/Ag_HEG, achieves the highest thermal performance across all examined Reynolds numbers. At the lowest Reynolds number, the thermal efficiency improvements for Case [A], Case [B], and Case [C] were 137 %, 113 %, and 56 %, respectively, compared to the baseline. Additionally, the second part of the study demonstrates that at the lowest Reynolds number, the thermal efficiencies of Water/MgO-TiO2 and Water/Ag_HEG nanohybrid fluids increased by 76 % and 49 %, respectively.
高效热能系统对于满足日益增长的热能需求非常重要。因此,人们提出了一些改进传热的方法。在壳盘管式热交换器中,利用精心设计的盘管而不是基本的盘管,可以显著提高传热效率和整体热效率。这是由于先进的盘管设计增强了流体动力学并增加了湍流,使其成为空间受限应用的理想选择。此外,螺旋结构有助于最大限度地减少污垢和维护,还能提供自清洁功能。因此,螺旋盘管因其卓越的性能、易于维护和设计适应性而在工业领域备受推崇。本研究对两种不同的特殊设计的壳盘管式热交换器的传热和流体流动特性进行了数值评估。分析的流体包括水基混合纳米流体,特别是水/MgO-TiO2 和 Ag-HEG/水,并将结果与使用纯水获得的结果进行比较。研究的雷诺数范围从 500 到 2000,分为两个部分。第一部分利用φ1 = φ2 = 0.3 的纳米粒子体积浓度,研究螺旋盘管的几何形状和流体类型对热交换器内热性能的影响。在第二部分,根据第一部分的研究结果选择最佳几何和流体模型。随后,通过比较体积浓度为 φ1 = φ2 = 0.3 的流体和纯水(φ1 = φ2 = 0),评估了各种混合纳米流体对热性能的影响。在最低雷诺数下,与基线相比,情况[A]、情况[B]和情况[C]的热效率分别提高了 137%、113% 和 56%。此外,研究的第二部分表明,在最低雷诺数下,水/氧化镁-二氧化钛和水/银_高纯锗纳米混合流体的热效率分别提高了 76% 和 49%。
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引用次数: 0
Thermo-economic investigation and comparative multi-objective optimization of dual-pressure evaporation ORC using binary zeotropic mixtures as working fluids for geothermal energy application 使用二元各向同性混合物作为地热能应用工作流体的双压蒸发 ORC 的热经济学研究与多目标比较优化
Q1 Chemical Engineering Pub Date : 2024-10-02 DOI: 10.1016/j.ijft.2024.100899
Shahin Akbari , Shahin Faghiri , Ali Mehrparwar Zinjanabi , Mohamad Ali Bijarchi , Mohammad Behshad Shafii , Khashayar Hosseinzadeh
This contribution performs an energy, exergy, and exergoeconomic (3E) analysis of a dual-pressure evaporation organic Rankine cycle system employing twenty different binary zeotropic mixtures as working fluids for power production from a geothermal field. To this end, the designed system is modeled, invoking the mass and energy conservation laws and the exergy and cost balance analyses. Specific Exergy Costing (SPECO) procedure is utilized to provide practical insights into the exergoeconomic aspect of the system. Comparative optimization based on the multi-objective genetic algorithm is accomplished for each mixture in order to simultaneously maximize the exergy efficiency and minimize the total cost rate using the design variables of pressure factor in low-pressure and high-pressure stages, mixture fraction, pinch point temperature differences in low-pressure and high-pressure heat exchangers, and degree of superheat in the high-pressure heat exchanger. In this regard, the Pareto frontiers are drawn for the system with all twenty different binary zeotropic mixtures. The optimal point for each mixture is obtained via the decision-making technique of LINMAP. Subsequently, the LINMAP is re-utilized to find the preferred mixture. The optimization results suggest the R123/C2Butene (96.89/3.11) mixture for this system as the optimum working fluid, considering a trade-off between a low-cost rate of $88.0651 per hr and a high exergy efficiency of 64.07 %. Finally, the exergy flow diagram is plotted to provide the exergy flow rate and the amount of exergy destruction in each segment of the system considering the optimal working fluid. In the proposed system, exergy destruction chiefly occurs within the low-pressure preheater with a value of 1061 kW, followed by the low-pressure turbine and condenser with magnitudes of about 669 kW and 266 kW, respectively.
这篇论文对双压蒸发有机郎肯循环系统进行了能量、放能和放能经济(3E)分析,该系统采用二十种不同的二元各向同性混合物作为工作流体,用于地热田发电。为此,对所设计的系统进行了建模,引用了质量和能量守恒定律,并进行了放能和成本平衡分析。利用特定能耗成本计算(SPECO)程序,对系统的能耗经济性进行了深入分析。基于多目标遗传算法对每种混合物进行了比较优化,以便利用低压和高压阶段的压力系数、混合物分数、低压和高压热交换器的夹点温差以及高压热交换器的过热度等设计变量,同时实现能效最大化和总成本费用最小化。为此,绘制了包含所有 20 种不同二元各向同性混合物的系统的帕累托前沿。通过 LINMAP 决策技术得出每种混合物的最佳点。随后,再次利用 LINMAP 找到首选混合物。优化结果表明,考虑到每小时 88.0651 美元的低成本和 64.07 % 的高能效之间的权衡,该系统的最佳工作流体为 R123/C2Butene (96.89/3.11) 混合物。最后,考虑到最佳工作流体,绘制了放能流程图,以提供系统各部分的放能流量和放能破坏量。在建议的系统中,放能破坏主要发生在低压预热器中,其值为 1061 千瓦,其次是低压涡轮机和冷凝器,分别约为 669 千瓦和 266 千瓦。
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引用次数: 0
Entropy analysis of MHD hybrid nanofluid in a rotating channel filled with porous material 充满多孔材料的旋转通道中的 MHD 混合纳米流体的熵分析
Q1 Chemical Engineering Pub Date : 2024-10-02 DOI: 10.1016/j.ijft.2024.100887
Emaline Joseph Ndelwa , Michael Hamza Mkwizu , Alex Xavery Matofali , Ahmada Omar Ali
This study investigates entropy generation of MHD hybrid nanofluid in a rotating channel filled with porous material. The hybrid nanofluid, which uses Cu and alumina nanoparticles along with water as the base fluid, has been used. The hybrid model equations were solved numerically using MATLAB’s ode15s which employs Runge-Kutta–Fehlberg scheme. Effects of entropy generation and other system variables were investigated. Parametric analysis reveals that, hybrid nanofluids show better heat transport capacities with a higher Nusselt number than Cu–water and alumina-water nanofluids. Thus, because of its improved thermal characteristics, the hybrid nanofluid transfers more heat, which makes it a better option for applications that need effective heat dissipation. The results show that, increasing the Biot number reduces temperature, while hybrid nanofluids yield a higher Bejan number, indicating more efficient heat transfer with minimized entropy generation. The study identifies increased friction between fluid and porous media as the cause of temperature rise with higher porous media resistance and shape factor parameters. It is also depicted that, the rate of entropy generation decreases as the Biot number Bi rises, this happens as a result of the channel’s temperature gradient being less pronounced at higher Bi, which reduces thermal irreversibility and, in turn, entropy generation. The findings also demonstrate that the presence of a magnetic field reduces axial velocity while increasing transverse velocity. Consequently, skin friction increases in the axial direction and decreases in the transverse direction. In addition, the increase of rotational parameter has been found to reduce skin friction to the greatest extent. These findings underscore the potential of hybrid nanofluids in optimizing thermal systems by reducing entropy generation and enhancing heat transfer efficiency.
本研究探讨了在充满多孔材料的旋转通道中 MHD 混合纳米流体的熵产生。混合纳米流体使用铜和氧化铝纳米颗粒以及水作为基础流体。使用 MATLAB 的 ode15s 对混合模型方程进行了数值求解,它采用了 Runge-Kutta-Fehlberg 方案。研究了熵生成和其他系统变量的影响。参数分析表明,与铜水纳米流体和氧化铝水纳米流体相比,混合纳米流体显示出更好的热传输能力和更高的努塞尔特数。因此,由于混合纳米流体具有更好的热特性,它能传递更多的热量,这使其成为需要有效散热的应用领域的更好选择。研究结果表明,提高贝奥特数可降低温度,而混合纳米流体的贝扬数较高,这表明其热传导效率更高,熵的生成量最小。研究发现,随着多孔介质阻力和形状系数参数的增加,流体与多孔介质之间的摩擦力也会增加,这是导致温度上升的原因。研究还表明,随着比奥特数 Bi 的升高,熵的产生率会降低,这是由于 Bi 越高,通道的温度梯度越小,从而降低了热不可逆性,进而降低了熵的产生。研究结果还表明,磁场的存在降低了轴向速度,同时增加了横向速度。因此,轴向表皮摩擦增加,横向表皮摩擦减少。此外,还发现旋转参数的增加在最大程度上减少了表皮摩擦。这些发现强调了混合纳米流体通过减少熵的产生和提高传热效率来优化热系统的潜力。
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引用次数: 0
Enhancing the performance of solar stills using heating components: A comprehensive review 利用加热元件提高太阳能蒸馏器的性能:全面回顾
Q1 Chemical Engineering Pub Date : 2024-10-02 DOI: 10.1016/j.ijft.2024.100900
Ahmed Serag , Maryam Nooman AlMallahi , Mahmoud Elgendi
Addressing the global water scarcity crisis requires innovative solutions in water treatment. Desalination offers a reliable and independent water source; however, challenges such as high energy consumption, environmental impact, and cost need to be addressed. Recent use of solar stills and other renewable energy integrations can significantly mitigate these issues. This review explores the advancements and modifications in solar still designs for heating components to enhance water desalination efficiency and productivity. The components discussed for heating or thermal management systems include nanomaterials, wicks, heat exchangers, phase change materials (PCMs), electric heaters, waste heat recovery systems, and photovoltaic cells. Innovations in cover materials and shapes impact factors such as heat absorption and condensation efficiency, contributing to overall improvements in freshwater yield. Solar stills with rotating cylinders were also used to increase surface area, which increased efficiency. Furthermore, various factors were studied, including wick materials, which contributed to a 27.65 % increase in productivity. Solar setups increase productivity by 214 % by improving heat transfer and energy efficiency. Immersed heaters have significantly increased productivity by 370 % in double-slope stills, 252.4 % in single-slope stills, and 232.9 % in hemispherical stills. Overall, the diverse landscape of innovations showcased in this review underscores the ongoing efforts to optimize solar stills for sustainable and efficient water desalination.
解决全球缺水危机需要创新的水处理解决方案。海水淡化提供了一种可靠而独立的水源;然而,高能耗、环境影响和成本等挑战也亟待解决。最近使用的太阳能蒸馏器和其他可再生能源集成可以大大缓解这些问题。本综述探讨了太阳能蒸馏器加热组件设计的进步和改进,以提高海水淡化效率和生产率。讨论的加热或热管理系统组件包括纳米材料、灯芯、热交换器、相变材料 (PCM)、电加热器、废热回收系统和光伏电池。盖子材料和形状的创新影响着吸热和冷凝效率等因素,有助于全面提高淡水产量。还使用了带有旋转圆筒的太阳能蒸馏器来增加表面积,从而提高效率。此外,还对包括灯芯材料在内的各种因素进行了研究,这些因素使生产率提高了 27.65%。太阳能装置通过提高传热和能源效率,使生产率提高了 214%。浸入式加热器使双斜蒸馏器的生产率大幅提高了 370%,单斜蒸馏器提高了 252.4%,半球蒸馏器提高了 232.9%。总之,本综述中展示的创新成果多种多样,突出表明了人们正在努力优化太阳能蒸馏器,以实现可持续和高效的海水淡化。
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引用次数: 0
Numerical and artificial neural network inspired study on step-like-plenum battery thermal management system 受数值和人工神经网络启发的阶梯式电池热管理系统研究
Q1 Chemical Engineering Pub Date : 2024-10-02 DOI: 10.1016/j.ijft.2024.100897
Olanrewaju M. Oyewola , Emmanuel T. Idowu
This study leverage numerical simulation (NS) and artificial neural network (ANN) capabilities to carry out additional investigations on step-like plenum battery thermal management system (BTMS). Different cooling strategies have been developed over the years in BTMSs’ design. Yet, air-cooling strategies still remains relevant, especially in battery-powered aircrafts, where light-weight is important and air is the preferred cooling fluid. Hence, additional study become necessary especially on the step-like plenum design to provide more insight on the performance of the design by considering several number of step, varied air inlet temperature and velocity. Computational fluid dynamics (CFD) approach was employed to obtained results for different number of step; Ns = 1,  3,  4,  7,  9,  15 and 19, varied air inlet temperature; Ti = 278,  298 and 318 K, and varied air inlet velocity; Vi = 3,  3.5,  4,  5 and 6 m/s. Artificial Neural Network (ANN) approach was then employed to predict the BTMSs’ performance for additional values of Ti and Vi. Minimum temperature (Tmin), maximum temperature (Tmax), maximum temperature difference (ΔTmax) and pressure drop (ΔP) were computed. By comparing the CFD results with the result predicted by the ANN, the percentage difference, for the entire dataset were 0.01 %, 0.005 %, 1 % and 0.14 % for Tmax, Tmin ΔTmax and ΔP, respectively. Based on the optimum design parameters predicted using ANN, for Tmax = 299.24 comprises Ns = 4, Vi = 6 m/s and Ti = 278 K, while for ΔP, comprises Ns = 1, Vi = 3 m/s and Ti = 318 K.
本研究利用数值模拟(NS)和人工神经网络(ANN)的功能,对阶梯式风箱电池热管理系统(BTMS)进行了进一步研究。多年来,在 BTMS 的设计中开发了不同的冷却策略。然而,空气冷却策略仍然适用,特别是在电池驱动的飞机上,因为在这种飞机上,轻量化非常重要,而空气是首选的冷却流体。因此,有必要进行更多的研究,尤其是对阶梯式风箱设计进行研究,以便通过考虑多个阶梯、不同的进气温度和速度,对该设计的性能有更深入的了解。我们采用了计算流体动力学(CFD)方法,以获得不同台阶数(Ns = 1、3、4、7、9、15 和 19)、不同进气温度(Ti = 278、298 和 318 K)和不同进气速度(Vi = 3、3.5、4、5 和 6 m/s)的结果。然后,采用人工神经网络(ANN)方法来预测 BTMS 在 Ti 和 Vi 附加值下的性能。计算了最低温度 (Tmin)、最高温度 (Tmax)、最大温差 (ΔTmax) 和压降 (ΔP)。通过比较 CFD 结果和 ANN 预测结果,在整个数据集中,Tmax、Tmin ΔTmax 和 ΔP 的百分比差异分别为 0.01%、0.005%、1% 和 0.14%。根据 ANN 预测的最佳设计参数,Tmax = 299.24 包括 Ns = 4、Vi = 6 m/s 和 Ti = 278 K,而 ΔP 包括 Ns = 1、Vi = 3 m/s 和 Ti = 318 K。
{"title":"Numerical and artificial neural network inspired study on step-like-plenum battery thermal management system","authors":"Olanrewaju M. Oyewola ,&nbsp;Emmanuel T. Idowu","doi":"10.1016/j.ijft.2024.100897","DOIUrl":"10.1016/j.ijft.2024.100897","url":null,"abstract":"<div><div>This study leverage numerical simulation (NS) and artificial neural network (ANN) capabilities to carry out additional investigations on step-like plenum battery thermal management system (BTMS). Different cooling strategies have been developed over the years in BTMSs’ design. Yet, air-cooling strategies still remains relevant, especially in battery-powered aircrafts, where light-weight is important and air is the preferred cooling fluid. Hence, additional study become necessary especially on the step-like plenum design to provide more insight on the performance of the design by considering several number of step, varied air inlet temperature and velocity. Computational fluid dynamics (CFD) approach was employed to obtained results for different number of step; <em>N<sub>s</sub></em> = 1,  3,  4,  7,  9,  15 and 19, varied air inlet temperature; <em>T<sub>i</sub></em> = 278,  298 and 318 <em>K</em>, and varied air inlet velocity; <em>V<sub>i</sub></em> = 3,  3.5,  4,  5 and 6 <em>m</em>/<em>s</em>. Artificial Neural Network (ANN) approach was then employed to predict the BTMSs’ performance for additional values of <em>T<sub>i</sub></em> and <em>V<sub>i</sub></em>. Minimum temperature (<em>T<sub>min</sub></em>), maximum temperature (<em>T<sub>max</sub></em>), maximum temperature difference (Δ<em>T<sub>max</sub></em>) and pressure drop (Δ<em>P</em>) were computed. By comparing the CFD results with the result predicted by the ANN, the percentage difference, for the entire dataset were 0.01 %, 0.005 %, 1 % and 0.14 % for <em>T<sub>max</sub>, T<sub>min</sub></em> Δ<em>T<sub>max</sub></em> and Δ<em>P</em>, respectively. Based on the optimum design parameters predicted using ANN, for <em>T<sub>max</sub></em> = 299.24 comprises <em>N<sub>s</sub></em> = 4, <em>V<sub>i</sub></em> = 6 <em>m</em>/<em>s</em> and <em>T<sub>i</sub></em> = 278 <em>K</em>, while for Δ<em>P</em>, comprises <em>N<sub>s</sub></em> = 1, <em>V<sub>i</sub></em> = 3 <em>m</em>/<em>s</em> and <em>T<sub>i</sub></em> = 318 <em>K</em>.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"24 ","pages":"Article 100897"},"PeriodicalIF":0.0,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamics of heat transfer in complex fluid systems: Comparative analysis of Jeffrey, Williamson and Maxwell fluids with chemical reactions and mixed convection 复杂流体系统的传热动力学:杰弗里、威廉姆森和麦克斯韦流体与化学反应和混合对流的比较分析
Q1 Chemical Engineering Pub Date : 2024-10-01 DOI: 10.1016/j.ijft.2024.100896
D. Thenmozhi , M. Eswara Rao , RLV. Renuka Devi , Ch. Nagalakshmi , PD. Selvi
This study addresses the complex dynamics of heat transfer in magnetohydrodynamic (MHD) systems involving Jeffrey, Williamson, Maxwell, and Newtonian fluids, focusing on how chemical reactions, activation energy, porosity, and mixed convection impact fluid behavior. The problem is critical due to the significant influence these factors have on industrial processes and applications involving non-Newtonian fluids. The developed a mathematical model represented by partial differential equations (PDEs), which were solved using similarity transformations and the fourth order Runge-Kutta (R-K) method combined with shooting technique, with MATLAB software facilitating the solution process. The results reveal that variations in magnetic field strength, porosity, and buoyancy force significantly affect fluid velocities, while radiation, Brownian motion, and thermophoresis alter temperature profiles. Furthermore, chemical reaction rates, Schmidt number, relaxation constant, and activation energy influence fluid concentrations. Key findings include that increasing porosity and magnetic field strength generally decreases fluid velocity, while higher radiation and Prandtl numbers reduce temperature. Chemical reactions and activation energy decrease fluid concentrations, with non-Newtonian fluids showing more pronounced effects compared to Newtonian fluids. The novelty of this work lies in its comprehensive analysis of multiple interacting parameters and their combined effects on heat transfer in MHD systems, providing insights that extend beyond previous studies in the literature. This research offers valuable implications for optimizing fluid dynamics in various industrial applications, including food processing, ink formulation, and friction reduction.
本研究探讨了涉及杰弗里流体、威廉姆森流体、麦克斯韦流体和牛顿流体的磁流体动力学(MHD)系统中复杂的传热动力学,重点关注化学反应、活化能、孔隙率和混合对流如何影响流体行为。由于这些因素对涉及非牛顿流体的工业过程和应用具有重大影响,因此这个问题非常关键。研究建立了一个由偏微分方程(PDEs)表示的数学模型,并使用相似变换和四阶 Runge-Kutta (R-K) 方法结合射影技术进行求解,MATLAB 软件为求解过程提供了便利。结果表明,磁场强度、孔隙率和浮力的变化会显著影响流体速度,而辐射、布朗运动和热泳会改变温度曲线。此外,化学反应速率、施密特数、弛豫常数和活化能也会影响流体浓度。主要发现包括:增加孔隙率和磁场强度通常会降低流体速度,而较高的辐射和普朗特数则会降低温度。化学反应和活化能会降低流体浓度,与牛顿流体相比,非牛顿流体的影响更为明显。这项研究的新颖之处在于全面分析了多个相互作用的参数及其对 MHD 系统传热的综合影响,提供了超越以往文献研究的见解。这项研究为优化食品加工、油墨配方和减少摩擦等各种工业应用中的流体动力学提供了宝贵的启示。
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引用次数: 0
Ignition and cool flame interactions of DME/H2/air blends in a micro-channel with a wall temperature gradient 壁温梯度微通道中二甲醚/H2/空气混合物的点火和冷焰相互作用
Q1 Chemical Engineering Pub Date : 2024-10-01 DOI: 10.1016/j.ijft.2024.100891
Ratna Kishore Velamati , Akram Mohammad , Sven Eckart , Jithin Edacheri Veetil
Two-dimensional numerical simulations are performed to study the flame dynamics of DME/H2/air mixtures in a microchannel with a controlled wall temperature profile. The characteristics of premixed stoichiometric DME/H2/air flames at various H2 compositions (% by volume) are analyzed in a 1 mm diameter tube of 120 mm length for a mixture inlet velocity of 0.15 m/s at 300 K temperature and 1 bar pressure. For every mixture composition under investigation, flame repetitive extinction and ignition (FREI) instability is noted. When the hydrogen percentage in the mixture rises, the frequency of FREI considerably decreases. The effect of hydrogen addition is nonlinear when the H2 composition in the mixture is above 40 %. Throughout the FREI cycle, a stable, weak flame is observed at the upstream side of the combustor. When the H2 composition in the mixture is increased to 80 %, the hot flame interacts with the weak flame, resulting in an increased rate of weak flame reactions. The weak flame shifts further upstream in this condition. The CH2O and H2O2 produced at the weak flame region are being consumed downstream, resulting in another peak in heat release rate between the cool flame and hot flame regions. This intermediate peak disappears during the propagation phase.
通过二维数值模拟研究了二甲醚/H2/空气混合物在具有受控壁温曲线的微通道中的火焰动力学。在温度为 300 K、压力为 1 bar、混合物入口速度为 0.15 m/s 的情况下,分析了在直径为 1 mm、长度为 120 mm 的管道中不同 H2 成分(体积百分比)的预混合 Stoichiometric DME/H2/air 火焰的特性。对于所研究的每种混合物成分,都注意到了火焰重复熄灭和点燃(FREI)的不稳定性。当氢气在混合物中的比例上升时,FREI 的频率会大大降低。当混合物中的氢含量超过 40% 时,加氢的影响是非线性的。在整个 FREI 循环中,在燃烧器的上游侧观察到稳定而微弱的火焰。当混合物中的 H2 成分增加到 80% 时,热火焰与弱火焰相互作用,导致弱火焰反应速率增加。在这种情况下,弱火焰会进一步向上游移动。弱焰区产生的 CH2O 和 H2O2 在下游被消耗,导致冷焰区和热焰区之间的热释放率出现另一个峰值。这个中间峰值在传播阶段消失。
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引用次数: 0
An experimental and numerical investigation of the thermal performance of phase change materials in different triple-glazed window configurations 不同三层玻璃窗配置中相变材料热性能的实验和数值研究
Q1 Chemical Engineering Pub Date : 2024-09-30 DOI: 10.1016/j.ijft.2024.100889
Mina A. Nsaif , Jalal M. Jalil , Mounir Baccar
Phase Change Materials (PCM) may be excellent thermal insulation due to their poor conductivity and high heat capacity. Researchers are adding PCM to windows. This integration modifies internal surface temperatures and delays peak temperatures to improve indoor thermal comfort. This work investigates experimentally and numerically the impact of the different filling materials in four Triple Glazed Windows (TGW) configurations in an Iraqi environment: the first window filled two cavities with air (standard); the second window has one cavity filled with a PCM and the other with air; the third window has blinders with various tilt angles in one cavity and PCM in the other cavity; and in the fourth window, both cavities are filled with PCM. Numerically utilizing Computational Fluid Dynamics to evaluate the thermal performance of TGW. In August, when the solar radiation was at its maximum (623 W/m2), the results showed that the peak interior surface temperature dropped by 4.51, 13.28 and 11.53 % in the TGW configurations (PCM-air), (blinder-PCM), and (PCM-PCM), compared to the standard TGW. The fourth window increased the time lag by 2 h, effectively shifting the load and in the third window, the best tilt angle blinder is 45°
相变材料(PCM)具有低传导性和高热容量的特点,因此可能是绝佳的隔热材料。研究人员正在将 PCM 添加到窗户中。这种集成可改变内表面温度并延缓温度峰值,从而改善室内热舒适度。这项工作通过实验和数值计算研究了伊拉克环境中四种三层玻璃窗 (TGW) 配置中不同填充材料的影响:第一种窗户的两个空腔填充空气(标准);第二种窗户的一个空腔填充 PCM,另一个填充空气;第三种窗户的一个空腔填充不同倾斜角度的百叶窗,另一个空腔填充 PCM;第四种窗户的两个空腔都填充 PCM。利用计算流体力学对 TGW 的热性能进行数值评估。结果表明,在八月份太阳辐射达到最大值(623 W/m2)时,与标准 TGW 相比,TGW 配置(PCM-空气)、(鼓风机-PCM)和(PCM-PCM)的室内表面温度峰值分别下降了 4.51%、13.28% 和 11.53%。第四个窗口的时滞增加了 2 小时,有效地转移了负荷,而在第三个窗口中,鼓风机的最佳倾斜角度为 45°。
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引用次数: 0
Analysing fluid flow and heat transfer comparatively in flow passage systems: Evaluating thermal impacts and geometric configurations 对流动通道系统中的流体流动和传热进行比较分析:评估热影响和几何结构
Q1 Chemical Engineering Pub Date : 2024-09-30 DOI: 10.1016/j.ijft.2024.100894
Farhan Lafta Rashid , Asseel M.Rasheed Al-Gaheeshi , Mudhar A. Al-Obaidi , Hayder I. Mohammed , Hussein Togun , Ephraim Bonah Agyekum
This research thoroughly examines heat transfer and fluid flow in a passage flow system, highlighting the difficulties posed by different geometric arrangements and temperature conditions that may affect the system's performance. The main aim is to evaluate the impacts of different geometric characteristics on the velocity, pressure, and temperature profiles inside the flow route. These factors encompass cavity dimensions, tube diameter, and input conditions. An inclusive comparison of three different geometric designs at controlled temperatures is conducted using computational fluid dynamics (CFD) simulations. The findings indicate that the optimal geometric parameters improve thermal performance, with certain arrangements displaying improvements in heat transfer rates up to 30 %. In this regard, the higher cavity dimensions and suitable input velocities are exposed as advantages. The first sample exhibited a higher velocity of 0.024 m s-1 due to its simpler geometry and favorable heating conditions, while the third sample demonstrated a higher temperature of 465 K due to its complex cavity shape and multiple heating sources. This study suggests that enhancing efficiency in heat management applications necessitates a strategic design approach for passage flow systems, which must account for flow characteristics and geometric specifications. This research would provide insightful information for designers and engineers looking at enhancing fluid flow systems across a range of industrial applications.
这项研究深入探讨了通道流动系统中的传热和流体流动,强调了不同几何布置和温度条件可能影响系统性能所带来的困难。主要目的是评估不同几何特征对流道内速度、压力和温度曲线的影响。这些因素包括空腔尺寸、管道直径和输入条件。通过计算流体动力学(CFD)模拟,在受控温度下对三种不同的几何设计进行了全面比较。研究结果表明,最佳几何参数可改善热性能,某些排列方式的传热率可提高 30%。在这方面,较高的空腔尺寸和合适的输入速度是其优势所在。第一个样品因其较简单的几何形状和有利的加热条件而显示出 0.024 m s-1 的较高速度,而第三个样品因其复杂的空腔形状和多个加热源而显示出 465 K 的较高温度。这项研究表明,要提高热管理应用的效率,就必须对通道流动系统采取战略性设计方法,其中必须考虑流动特性和几何规格。这项研究将为设计师和工程师在一系列工业应用中改进流体流动系统提供有见地的信息。
{"title":"Analysing fluid flow and heat transfer comparatively in flow passage systems: Evaluating thermal impacts and geometric configurations","authors":"Farhan Lafta Rashid ,&nbsp;Asseel M.Rasheed Al-Gaheeshi ,&nbsp;Mudhar A. Al-Obaidi ,&nbsp;Hayder I. Mohammed ,&nbsp;Hussein Togun ,&nbsp;Ephraim Bonah Agyekum","doi":"10.1016/j.ijft.2024.100894","DOIUrl":"10.1016/j.ijft.2024.100894","url":null,"abstract":"<div><div>This research thoroughly examines heat transfer and fluid flow in a passage flow system, highlighting the difficulties posed by different geometric arrangements and temperature conditions that may affect the system's performance. The main aim is to evaluate the impacts of different geometric characteristics on the velocity, pressure, and temperature profiles inside the flow route. These factors encompass cavity dimensions, tube diameter, and input conditions. An inclusive comparison of three different geometric designs at controlled temperatures is conducted using computational fluid dynamics (CFD) simulations. The findings indicate that the optimal geometric parameters improve thermal performance, with certain arrangements displaying improvements in heat transfer rates up to 30 %. In this regard, the higher cavity dimensions and suitable input velocities are exposed as advantages. The first sample exhibited a higher velocity of 0.024 m s<sup>-1</sup> due to its simpler geometry and favorable heating conditions, while the third sample demonstrated a higher temperature of 465 K due to its complex cavity shape and multiple heating sources. This study suggests that enhancing efficiency in heat management applications necessitates a strategic design approach for passage flow systems, which must account for flow characteristics and geometric specifications. This research would provide insightful information for designers and engineers looking at enhancing fluid flow systems across a range of industrial applications.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"24 ","pages":"Article 100894"},"PeriodicalIF":0.0,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Computational simulation of Casson hybrid nanofluid flow with Rosseland approximation and uneven heat source/sink 采用罗斯兰德近似和不均匀热源/散热的卡松混合纳米流体流动的计算模拟
Q1 Chemical Engineering Pub Date : 2024-09-28 DOI: 10.1016/j.ijft.2024.100893
G. Ramasekhar , F. Mebarek-Oudina , S. Suneetha , H. Vaidya , P.D. Selvi
This article candidly presents the magnetohydrodynamics Casson hybrid nanofluid flow over a stretching surface. In the present study, we added a nonuniform heat source or sink and non-linear thermal radiation. We considered Al2O3 and copper nanoparticles to have antibacterial and antiviral properties without any harmful impacts and used water as the host fluid. We simplified the governing flow equations by using suitable self-similarity variables, which are used to convert PDEs to ODEs. The mathematical equations are numerically solved by using the bvp5c technique in the MATLAB software. Additionally, with higher values of the magnetic field and Casson fluid parameters the velocity profile decreased. The temperature profile is enhanced by increasing the magnetic field and thermal radiation parameters. Increasing the Casson fluid and radiation parameters enhances the skin friction and Nusselt number profiles. Alumina nanoparticles find applications in cosmetic fillers, polishing materials, catalyst carriers, analytical reagents. Copper nanoparticles have high electrical conductivity, which has many uses in electrical circuits and biosensors.
本文坦率地介绍了拉伸表面上的磁流体动力学卡松混合纳米流体流动。在本研究中,我们加入了非均匀热源或散热器以及非线性热辐射。我们认为 Al2O3 和铜纳米粒子具有抗菌和抗病毒特性,不会产生任何有害影响,并使用水作为主流体。我们使用适当的自相似变量简化了流动方程,并将 PDE 转换为 ODE。我们使用 MATLAB 软件中的 bvp5c 技术对数学方程进行了数值求解。此外,磁场和卡松流体参数值越大,速度曲线越小。温度曲线随着磁场和热辐射参数的增加而增强。增加卡松流体和辐射参数会增强皮肤摩擦和努塞尔特数曲线。氧化铝纳米粒子可应用于化妆品填料、抛光材料、催化剂载体和分析试剂。纳米铜粒子具有高导电性,在电路和生物传感器中用途广泛。
{"title":"Computational simulation of Casson hybrid nanofluid flow with Rosseland approximation and uneven heat source/sink","authors":"G. Ramasekhar ,&nbsp;F. Mebarek-Oudina ,&nbsp;S. Suneetha ,&nbsp;H. Vaidya ,&nbsp;P.D. Selvi","doi":"10.1016/j.ijft.2024.100893","DOIUrl":"10.1016/j.ijft.2024.100893","url":null,"abstract":"<div><div>This article candidly presents the magnetohydrodynamics Casson hybrid nanofluid flow over a stretching surface. In the present study, we added a nonuniform heat source or sink and non-linear thermal radiation. We considered Al<sub>2</sub>O<sub>3</sub> and copper nanoparticles to have antibacterial and antiviral properties without any harmful impacts and used water as the host fluid. We simplified the governing flow equations by using suitable self-similarity variables, which are used to convert PDEs to ODEs. The mathematical equations are numerically solved by using the bvp5c technique in the MATLAB software. Additionally, with higher values of the magnetic field and Casson fluid parameters the velocity profile decreased. The temperature profile is enhanced by increasing the magnetic field and thermal radiation parameters. Increasing the Casson fluid and radiation parameters enhances the skin friction and Nusselt number profiles. Alumina nanoparticles find applications in cosmetic fillers, polishing materials, catalyst carriers, analytical reagents. Copper nanoparticles have high electrical conductivity, which has many uses in electrical circuits and biosensors.</div></div>","PeriodicalId":36341,"journal":{"name":"International Journal of Thermofluids","volume":"24 ","pages":"Article 100893"},"PeriodicalIF":0.0,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
International Journal of Thermofluids
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