Journal articles on the topic 'Thermal fluid dynamics computational'

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1

Iaronka, Odirlan, Vitor Cristiano Bender, and Tiago Bandeira Marchesan. "Thermal Management Of Led Luminaires Based On Computational Fluid Dynamic." Eletrônica de Potência 20, no. 1 (February 1, 2015): 76–84. http://dx.doi.org/10.18618/rep.2015.1.076084.

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2

Miller, Brent A., and Jack J. McNamara. "Efficient Fluid-Thermal-Structural Time Marching with Computational Fluid Dynamics." AIAA Journal 56, no. 9 (September 2018): 3610–21. http://dx.doi.org/10.2514/1.j056572.

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3

Ramshaw, J. D., and C. H. Chang. "Computational fluid dynamics modeling of multicomponent thermal plasmas." Plasma Chemistry and Plasma Processing 12, no. 3 (September 1992): 299–325. http://dx.doi.org/10.1007/bf01447028.

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4

Rodríguez-Vázquez, Martin, Iván Hernández-Pérez, Jesus Xamán, Yvonne Chávez, Miguel Gijón-Rivera, and Juan M. Belman-Flores. "Coupling building energy simulation and computational fluid dynamics: An overview." Journal of Building Physics 44, no. 2 (February 2, 2020): 137–80. http://dx.doi.org/10.1177/1744259120901840.

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Building energy simulations coupled with computational fluid dynamics tools have emerged, recently, as an accurate and effective tool to improve the estimation of energy requirements and thermal comfort in buildings. Building modelers and researchers usually implement this coupling in the boundary conditions of both tools (e.g. surface temperature, ambient temperature, and conductive and convective fluxes). This work reviews how the building energy simulation–computational fluid dynamics coupling has evolved since its first implementation to the present day. Moreover, this article also summarizes and discusses the research studies in which the building energy simulation–computational fluid dynamics coupling has been used to analyze building systems, building components, and building urban configurations. Implementing a building energy simulation–computational fluid dynamics coupling brings a series of benefits when compared with the conventional building energy simulation methodology, a building energy simulation–computational fluid dynamics coupling provides an improvement that ranges between 10% and 50% for estimating the building energy requirements. Moreover, the computation time to implement computational fluid dynamics with information obtained from the building energy simulation could be reduced by as well.
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5

Yan, Yihuan, Xiangdong Li, and Jiyuan Tu. "Effects of manikin model simplification on CFD predictions of thermal flow field around human bodies." Indoor and Built Environment 26, no. 9 (June 7, 2016): 1185–97. http://dx.doi.org/10.1177/1420326x16653500.

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Simplified computational thermal manikins are beneficial to the computational efficiency of computational fluid dynamics simulations. However, the criterion of how to simplify a computational thermal manikin is still absent. In this study, three simplified computational thermal manikins (CTMs 2, 3 and 4) were rebuilt based on a detailed 3D scanned manikin (CTM 1) using different simplification approaches. Computational fluid dynamics computations of the human thermal plume in a quiescent indoor environment were conducted. The predicted airflow field using CTM 1 agreed well with the experimental observations from the literature. Although the simplified computational thermal manikins did not significantly affect the airflow predictions in the bulk regions, they strongly influenced the predicted airflow patterns near the computational thermal manikins. The predictive error of the computational thermal manikin was strongly related to the simplification approach. The computational thermal manikins generated from the surface-smoothing approach (CTM 2) was very close to CTM 1, while the required mesh elements for a stable numerical solution dropped by over 75%. Comparatively, the predictive errors of CTMs 3 and 4 were considerable in the near-body regions. This study has illustrated the importance of keeping the key body features when simplifying a computational thermal manikin. The surface-smoothing-based simplification method was shown to be a promising approach.
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Gan, Guohui. "Thermal transmittance of multiple glazing: computational fluid dynamics prediction." Applied Thermal Engineering 21, no. 15 (October 2001): 1583–92. http://dx.doi.org/10.1016/s1359-4311(01)00016-3.

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7

KOTAKE, Susumu. "Evolution and Status of Computational Thermal and Fluid Dynamics." Journal of the Society of Mechanical Engineers 92, no. 847 (1989): 498–502. http://dx.doi.org/10.1299/jsmemag.92.847_498.

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8

Saurabh, Ashish, Deepali Atheaya, and Anil Kumar. "Computational fluid dynamics (CFD) modelling of hybrid photovoltaic thermal system." Vibroengineering PROCEDIA 29 (November 28, 2019): 243–48. http://dx.doi.org/10.21595/vp.2019.21098.

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9

Beom Jo, Young, So-Hyun Park, and Eung Soo Kim. "Lagrangian computational fluid dynamics for nuclear Thermal-Hydraulics & safety." Nuclear Engineering and Design 405 (April 2023): 112228. http://dx.doi.org/10.1016/j.nucengdes.2023.112228.

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10

Xie, Yonghui, Kun Lu, Le Liu, and Gongnan Xie. "Fluid-Thermal-Structural Coupled Analysis of a Radial Inflow Micro Gas Turbine Using Computational Fluid Dynamics and Computational Solid Mechanics." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/640560.

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A three-dimensional fluid-thermal-structural coupled analysis for a radial inflow micro gas turbine is conducted. First, a fluid-thermal coupled analysis of the flow and temperature fields of the nozzle passage and the blade passage is performed by using computational fluid dynamics (CFD). The flow and heat transfer characteristics of different sections are analyzed in detail. The thermal load and the aerodynamic load are then obtained from the temperature field and the pressure distribution. The stress distributions of the blade are finally studied by using computational solid mechanics (CSM) considering three cases of loads: thermal load, aerodynamics load combined with centrifugal load, and all the three types of loads. The detailed parameters of the flow, temperature, and the stress are obtained and analyzed. The numerical results obtained provide a useful knowledge base for further exploration of radial gas turbine design.
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11

Dix, Joseph, and Amir Jokar. "Fluid and thermal analysis of a microchannel electronics cooler using computational fluid dynamics." Applied Thermal Engineering 30, no. 8-9 (June 2010): 948–61. http://dx.doi.org/10.1016/j.applthermaleng.2010.01.007.

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12

Raczkowski, Andrzej, Zbigniew Suchorab, and Przemysław Brzyski. "Computational fluid dynamics simulation of thermal comfort in naturally ventilated room." MATEC Web of Conferences 252 (2019): 04007. http://dx.doi.org/10.1051/matecconf/201925204007.

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The paper presents experimental measurements and numerical simulation of thermal environment in naturally ventilated room by a fresh air valve. For the aim of Computer Fluid Dynamics (CFD) simulations, a model room was created. The fresh air valve is located in an occupied space, at the external wall. It has a major effect on mixing indoor and outdoor air, temperature profiles, thermal condition and indoor air quality of the rooms during the heating period. To determine the thermal condition of a naturally ventilated building, PN-EN 15251:2012 standard was used. According to the standard, using PMV/PPD is suitable for evaluating the thermal environment. In the naturally ventilated buildings, the following criteria are very important for local thermal discomfort: draught, radiant temperature asymmetry and vertical air temperature differences. To compare the simulation results, real air temperatures were measured by the thermocouples in a day room having the same geometry. A series of simulations has been carried out to determine the profiles of temperature and velocity of indoor air. Obtained results prove correlation with calculations of profiles of indoor air temperature, estimated using the thermocouples.
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13

Chew, John W., and Nicholas J. Hills. "Computational fluid dynamics for turbomachinery internal air systems." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1859 (May 22, 2007): 2587–611. http://dx.doi.org/10.1098/rsta.2007.2022.

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Considerable progress in development and application of computational fluid dynamics (CFD) for aeroengine internal flow systems has been made in recent years. CFD is regularly used in industry for assessment of air systems, and the performance of CFD for basic axisymmetric rotor/rotor and stator/rotor disc cavities with radial throughflow is largely understood and documented. Incorporation of three-dimensional geometrical features and calculation of unsteady flows are becoming commonplace. Automation of CFD, coupling with thermal models of the solid components, and extension of CFD models to include both air system and main gas path flows are current areas of development. CFD is also being used as a research tool to investigate a number of flow phenomena that are not yet fully understood. These include buoyancy-affected flows in rotating cavities, rim seal flows and mixed air/oil flows. Large eddy simulation has shown considerable promise for the buoyancy-driven flows and its use for air system flows is expected to expand in the future.
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14

Kwong, Qi Jie, Jim Yexin Yang, Oliver Hoon Leh Ling, and Jamalunlaili Abdullah. "Thermal Environment Analysis of a Scientific Laboratory using Computational Fluid Dynamics." MATEC Web of Conferences 266 (2019): 02004. http://dx.doi.org/10.1051/matecconf/201926602004.

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University staff and students typically spend most of their time indoors. This paper evaluates the thermal environment of an air-conditioned scientific laboratory in a tertiary educational institution in Malaysia using Computational Fluid Dynamics (CFD). This computational technique has been used in analysing the indoor environments and has been found to be useful in aiding facilities management. A pilot survey was conducted to collect the required information such as indoor parameters and boundary conditions for the setting up of a CFD model of the laboratory. The model was then simulated based on the data obtained from field observations. Results indicate that the laboratory users sitting at different rows and work desks would experience different thermal sensations. The mean air temperature was below the recommended comfort zone specified in the local energy standard, but the air velocities were generally within the acceptable range. Based on the calculated predicted mean vote (PMV) and predicted percentage dissatisfied (PPD) indices, most of the users would be thermally uncomfortable, and a warmer environment was preferred. Recommendations were made to regulate the inlet air temperature of the laboratory to improve thermal comfort of laboratory users and for energy saving purposes.
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15

Gautam, Rajnish Kumar, and Ravindra Mohan. "Thermal Comfort Analysis for Office Room Using Computational Fluid Dynamics: A Review." SMART MOVES JOURNAL IJOSCIENCE 4, no. 10 (October 13, 2018): 8. http://dx.doi.org/10.24113/ijoscience.v4i10.168.

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Thermal comfort in the room is achieved by maintaining temperatures between 20 °C to 25 °C, as a result of air temperature. The main objective of the present work to study the thermal comfort in office room by changing the design of inlet and outlet duct position using computational fluid dynamics analysis. The present review includes various factors related with thermal comfort of office room, like temperature and air flow inside the office room, that affect the thermal comfort for the occupants. Areas in which additional information is required are identified and comments are made regarding future research directions. From the above literature study, it has been observed that in the field of thermal comfort for the office room lot of work have been seen in worldwide and still going on so there is a scope to work on this field.
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16

Augusto, Pedro Esteves Duarte, and Marcelo Cristianini. "Computational fluid dynamics evaluation of liquid food thermal process in a brick shaped package." Food Science and Technology 32, no. 1 (February 16, 2012): 134–41. http://dx.doi.org/10.1590/s0101-20612012005000014.

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Food processes must ensure safety and high-quality products for a growing demand consumer creating the need for better knowledge of its unit operations. The Computational Fluid Dynamics (CFD) has been widely used for better understanding the food thermal processes, and it is one of the safest and most frequently used methods for food preservation. However, there is no single study in the literature describing thermal process of liquid foods in a brick shaped package. The present study evaluated such process and the influence of its orientation on the process lethality. It demonstrated the potential of using CFD to evaluate thermal processes of liquid foods and the importance of rheological characterization and convection in thermal processing of liquid foods. It also showed that packaging orientation does not result in different sterilization values during thermal process of the evaluated fluids in the brick shaped package.
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17

Cheng, Pengpeng, Daoling Chen, and Jianping Wang. "Study on the influence of underwear on local thermal and moisture comfort of human body." Thermal Science, no. 00 (2020): 229. http://dx.doi.org/10.2298/tsci190310229c.

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In order to study the influence of underwear on human thermal and moisture comfort in different sports conditions, the objective and subjective evaluation of underwear (including undershirt and underpants) made of three kinds of fabrics were carried out, and the underwear comfort model was established by computational fluid dynamics, and the application prospect of computational fluid dynamics technology in the field of clothing comfort research was prospected. The results show: 1. the underwear combination of different fabrics has certain influence on the thermal and moisture comfort of human body, and the thermal and moisture of fabric of composite fiber is better than that of fabric of single fiber; 2. the temperature and humidity of chest, back, hip and thighs of the human body in different motion states change, and the temperature and humidity of the chest and back change greatly; 3. computational fluid dynamics can accurately predict human skin temperature.
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18

El Hassan, Mouhammad. "Numerical Characterization of the Flow Dynamics and COP Estimation of a Binary Fluid Ejector Ground Source Heat Pump Cooling System." Fluids 7, no. 7 (July 20, 2022): 250. http://dx.doi.org/10.3390/fluids7070250.

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Ejector-based refrigeration systems can make direct use of many forms of thermal energy, such as solar thermal, waste heat, biogas, or natural gas. The present paper describes the estimation of the thermal coefficient of performance (COP) of a binary fluid ejector ground source heat pump (BFE GSHP) cooling system. A method for fluid selection was defined based on the favorable thermo-physical properties of the working fluids. A short list of fluid pairs were selected based on their favorable properties for the BFE GSHP cooling system. Computational Fluid Dynamics (CFD) investigation was conducted for the selected fluid pairs and a suitable ejector geometry is proposed for the high compression ratios encountered in the GSHP applications. The mixing between primary and secondary fluids was investigated using physical analysis of the CFD results. The effect of the fluids’ thermo-physical properties on the system performance was also discussed.
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19

Franchetta, M., K. O. Suen, and T. G. Bancroft. "Pseudo-transient computational fluid dynamics analysis of an underbonnet compartment during thermal soak." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 221, no. 10 (October 1, 2007): 1209–20. http://dx.doi.org/10.1243/09544070jauto555.

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Underbonnet simulations are proving to be crucially important within a vehicle development programme, reducing test work and time-to-market. While computational fluid dynamics (CFD) simulations of steady forced flows have been demonstrated to be reliable, studies of transient convective flows in engine compartments are not yet carried out owing to high computing demands and lack of validated work. The present work assesses the practical feasibility of applying the CFD tool at the initial stage of a vehicle development programme for investigating the thermally driven flow in an engine bay under thermal soak. A computation procedure that enables pseudo time-marching CFD simulations to be performed with significantly reduced central processing unit (CPU) time usage is proposed. The methodology was initially tested on simple geometries and then implemented for investigating a simplified half-scale underbonnet compartment. The numerical results are compared with experimental data taken with thermocouples and with particle image velocimetry (PIV). The novel computation methodology is successful in efficiently providing detailed and time-accurate time-dependent thermal and flow predictions. Its application will extend the use of the CFD tool for transient investigations, enabling improvements to the component packaging of engine bays and the refinement of thermal management strategies with reduced need for in-territory testing.
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20

Yun, Sungil, Matthew Tom, Gerassimos Orkoulas, and Panagiotis D. Christofides. "Multiscale computational fluid dynamics modeling of spatial thermal atomic layer etching." Computers & Chemical Engineering 163 (July 2022): 107861. http://dx.doi.org/10.1016/j.compchemeng.2022.107861.

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21

García-Chávez, R. J., A. U. Chávez-Ramirez, H. I. Villafán-Vidales, J. B. Velázquez-Fernández, and I. P. Hernández Rosales. "Thermal study of a solar distiller using computational fluid dynamics (CFD)." Revista Mexicana de Ingeniería Química 19, no. 2 (August 1, 2019): 677–89. http://dx.doi.org/10.24275/rmiq/ie671.

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22

Schmidt-Traub, H., and T. Hahm. "Application of computational fluid dynamics to solar thermal receiver/reactor modelling." Le Journal de Physique IV 09, PR3 (March 1999): Pr3–147—Pr3–152. http://dx.doi.org/10.1051/jp4:1999323.

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23

Cui, Jiawei, Lei Ni, Juncheng Jiang, Yong Pan, Hao Wu, and Qiang Chen. "Computational Fluid Dynamics Simulation of Thermal Runaway Reaction of Styrene Polymerization." Organic Process Research & Development 23, no. 3 (February 26, 2019): 389–96. http://dx.doi.org/10.1021/acs.oprd.9b00005.

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24

Dimou, A., E. Panagou, N. G. Stoforos, and S. Yanniotis. "Analysis of Thermal Processing of Table Olives Using Computational Fluid Dynamics." Journal of Food Science 78, no. 11 (October 8, 2013): E1695—E1703. http://dx.doi.org/10.1111/1750-3841.12277.

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25

Winwood, R., R. Benstead, R. Edwards, and K. M. Letherman. "Building fabric thermal storage: Use of computational fluid dynamics for modelling." Building Services Engineering Research and Technology 15, no. 3 (August 1994): 171–78. http://dx.doi.org/10.1177/014362449401500308.

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26

Zhu, Yuehan, Tomohiro Fukuda, and Nobuyoshi Yabuki. "Integrating Animated Computational Fluid Dynamics into Mixed Reality for Building-Renovation Design." Technologies 8, no. 1 (December 29, 2019): 4. http://dx.doi.org/10.3390/technologies8010004.

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In advanced society, the existing building stock has a high demand for stock renovation, which gives existing buildings new lives, rather than building new ones. During the renovation process, it is necessary to simultaneously achieve architectural, facilities, structural, and environmental design in order to accomplish a healthy, comfortable, and energy-saving indoor environment, prevent delays in problem-solving, and achieve a timely feedback process. This study tackled the development of an integrated system for stock renovation by considering computational fluid dynamics (CFD) and mixed reality (MR) in order to allow the simultaneous design of a building plan and thermal environment. The CFD analysis enables simulation of the indoor thermal environment, including the entire thermal change process. The MR system, which can be operated by voice command and operated on head-mounted display (HMD), enables intuitive visualization of the thermal change process and, in a very efficient manner, shows how different renovation projects perform for various stakeholders. A prototype system is developed with Unity3D engine and HoloLens HMD. In the integrated system, a new CFD visualization method generating 3D CFD animation sequence for the MR system is proposed that allows stakeholders to consider the entirety of changes in the thermal environment.
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27

Ren, Hai Wei, and Yi Zhang. "Applications of Computational Fluid Dynamics(CFD) in the Food Industry." Advanced Materials Research 236-238 (May 2011): 2273–78. http://dx.doi.org/10.4028/www.scientific.net/amr.236-238.2273.

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The application of computational fluid dynamics(CFD) in the food industry such as drying, thermal sterilization, mixing, refrigeration and humidification of cold storage was reviewed. The results from previous studies have shown that CFD was a powerful numerical tool that is applied to model fluid flow situations and aid in the optimal design of engineering equipment and food process. With the development of computer technology, it is conceivable that CFD will continue to provide more explanations for physical modeling of fluid flow and process system design for the food industry.
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Yang, Yuanlong, Baozhi Sun, Yanjun Li, Liu Yang, and Lusong Zheng. "Computational fluid dynamics investigation of thermal–hydraulic characteristics for a steam generator with and without tube support plates." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 227, no. 12 (March 5, 2013): 2897–911. http://dx.doi.org/10.1177/0954406213479740.

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A three-dimensional computational fluid dynamics model with the thermal phase change model is used to investigate the thermal–hydraulic characteristics of a steam generator with and without quatrefoil tube support plates. The two types of modeled designs are a unit pipe with and one without tube support plates. The computational fluid dynamics simulations capture the boiling phenomena, vortex and recirculation distributions, and the periodic characteristics of the circumferential wall temperature in the regions surrounding the tube support plates. The cross-flow energy responsible for flow-induced vibration damage in the region of the U-bend tubes is obtained with the aid of these localized thermal–hydraulic distributions. A comparison between the key parameters of the unit pipe models with and without tube support plates clearly reveals the influence of tube support plates in guiding flow behavior and alleviating flow-induced vibration damage for a steam generator’s U-bend tube bundle. Therefore, this computational fluid dynamics model can provide technical support for optimizing tube support plate design and improving the thermal–hydraulic characteristics of steam generator.
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29

Grover, Ronald O., Xiaofeng Yang, Scott Parrish, Lorenzo Nocivelli, Katherine J. Asztalos, Sibendu Som, Yanheng Li, et al. "CFD simulations of electric motor end ring cooling for improved thermal management." Science and Technology for Energy Transition 77 (2022): 17. http://dx.doi.org/10.2516/stet/2022015.

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Proper thermal management of an electric motor for vehicle applications extends its operating range. One cooling approach is to impinge Automatic Transmission Fluid (ATF) onto the rotor end ring. Increased ATF coverage correlates to enhanced heat transfer. Computational Fluid Dynamics (CFD) analytical tools provide a mechanism to assess motor thermal management prior to hardware fabrication. The complexity of the fluid flow (e.g., jet atomization, interface tracking, wall impingement) and heat transfer makes these simulations challenging. Computational costs are high when solving these flows on high-speed rotating meshes. Typically, a Volume-of Fluid (VOF) technique (i.e., two-fluid system) is used to resolve ATF dynamics within this rotating framework. Suitable numerical resolution of the relevant physics for thin films under strong inertial forces at high rotor speeds is computationally expensive, further increasing the run times. In this work, a numerical study of rotor-ring cooling by ATF is presented using a patent automated Cartesian cut-cell based method coupled with Automatic Mesh Refinement (AMR). This approach automatically creates the Cartesian mesh on-the-fly and can effectively handle complex rotating geometries by adaptively refining the mesh based on local gradients in the flow field which results in better resolution of the air-ATF interface. A Single non-inertial Reference Frame (SRF) approach is used to account for the rotating geometry and to further improve the overall computational efficiency. Quasi-steady state conditions are targeted in the analysis of the results. Important physics such as ATF jet structure, velocity detail near the air-jet interface, ATF coverage/accumulation on the ring surface, and cooling capacity are presented for a low-resolution Reynolds averaged Navier-Stokes (RANS), high-resolution RANS, and high-resolution Large-Eddy Simulation (LES) models. Computations are scaled over hundreds of cores on a supercomputer to maximize turnaround time. Each numerical approach is shown to capture the general trajectory of the oil jet prior to surface impingement. The high-resolution LES simulation, however, is superior in capturing small scale details and heat transfer between the free jet and surrounding air.
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Yuan, Zhao, Jun-jia He, Yuan Pan, Xiao-gen Yin, Can Ding, Shao-fei Ning, and Hong-lei Li. "Thermal Analysis of Air-Core Power Reactors." ISRN Mechanical Engineering 2013 (March 24, 2013): 1–6. http://dx.doi.org/10.1155/2013/865015.

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A fluid-thermal coupled analysis based on FEM is conducted. The inner structure of the coils is built with consideration of both the structural details and the simplicity; thus, the detailed heat conduction process is coupled with the computational fluid dynamics in the thermal computation of air-core reactors. According to the simulation results, 2D temperature distribution results are given and proved by the thermal test results of a prototype. Then the temperature results are used to calculate the heat flux to predict the detailed heat transfer process in the packages of the reactors. The study in this paper may be useful in the design optimization in air-core reactors.
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Suthahar, S. T. Jaya, and S. Saravanan. "Performance Analysis of Alumina Nanofluids on Flat Plate Solar Collector by Using Computational Fluid Dynamics." Advanced Science, Engineering and Medicine 12, no. 6 (June 1, 2020): 810–14. http://dx.doi.org/10.1166/asem.2020.2563.

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It is essential to find more renewable, sustainable ways of generating energy as the global energy demand is expected to grow by 30% by 2040. This work is concerned with the numerical prediction of thermal performance of flat plate solar collector, professor by varying the diameter of riser tube and changing the working fluid. A solar collector for heating a volume of 10 liters of working fluid is designed and investigated. 3D CAD model of the collector consisting of a fluid zone and two solid zones is generated for solving this conjugate heat transfer problem. Numerical analysis is carried out on the solar collector systems and their performance is predicted. The thermal and flow properties obtained for the solar collector systems are compared with each other to identify the best performing model of the solar collector. It is found from the numerical results that 14 mm riser tube with nano fluids gives comparatively best performance in terms of absorbing solar energy.
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32

Zamora, Blas, Antonio S. Kaiser, and Pedro G. Vicente. "Improvement in Learning on Fluid Mechanics and Heat Transfer Courses Using Computational Fluid Dynamics." International Journal of Mechanical Engineering Education 38, no. 2 (April 2010): 147–66. http://dx.doi.org/10.7227/ijmee.38.2.6.

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This paper is concerned with the teaching of fluid mechanics and heat transfer on courses for the industrial engineer degree at the Polytechnic University of Cartagena (Spain). In order to improve the engineering education, a pedagogical method that involves project-based learning, using computational fluid dynamics (CFD), was applied. The project-based learning works well for mechanical engineering education, since it prepares students for their later professional training. The courses combined applied and advanced concepts of fluid mechanics with the basic numerical aspects of CFD, including validation of the results obtained. In this approach, the physical understanding of practical problems of fluid mechanics and heat transfer played an important role. Satisfactory numerical results were obtained by using both Phoenics and Fluent finite-volume codes. Some cases were solved using the well known Matlab software. Comparisons were made between the results obtained by analytical solutions (if any) with those reached by CFD general-purpose codes and with those obtained by Matlab. This system provides engineering students with a solid comprehension of several aspects of thermal and fluids engineering.
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Selvaraj, P., J. Sarangan, and S. Suresh. "Computational fluid dynamics analysis on heat transfer and friction factor characteristics of a turbulent flow for internally grooved tubes." Thermal Science 17, no. 4 (2013): 1125–37. http://dx.doi.org/10.2298/tsci110404010s.

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The article presents computational fluid dynamics studies on heat transfer, pressure drop, friction factor, Nusselt number and thermal hydraulic performance of a plain tube and tube equipped with the three types of internal grooves (circular, square and trapezoidal).Water was used as the working fluid. Tests were performed for Reynolds number ranges from 5000 to 13500 for plain tube and different geometry inside grooved tubes. The maximum increase of pressure drop was obtained from numerical modeling 74% for circular, 38% for square and 78% for trapezoidal grooved tubes were compared with plain tube. Based on computational fluid dynamics analysis the average Nusselt number was increased up to 37%, 26% and 42% for circular, square and trapezoidal grooved tubes respectively while compared with the plain tube. The thermal hydraulic performance was obtained from computational fluid dynamics analysis up to 38% for circular grooved tube, 27% for square grooved tube and 40% for trapezoidal grooved tube while compared with the plain tube.
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34

Menni, Younes, and Ahmed Azzi. "Numerical Analysis of Thermal and Aerodynamic Fields in a Channel with Cascaded Baffles." Periodica Polytechnica Mechanical Engineering 62, no. 1 (December 21, 2017): 16. http://dx.doi.org/10.3311/ppme.10613.

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A computational fluid dynamic analysis of thermal and aerodynamic fields for an incompressible steady-state flow of a Newtonian fluid through a two-dimensional horizontal rectangular section channel with upper and lower wall-attached, vertical, staggered, transverse, cascaded rectangular-triangular (CRT), solid-type baffles is carried out in the present paper using the Commercial, Computational Fluid Dynamics, software FLUENT. The flow model is governed by the Reynolds averaged Navier-Stokes (RANS) equations with the SST k-ω turbulence model and the energy equation. The finite volume method (FVM) with the SIMPLE-discretization algorithm is applied for the solution of the problem. The computations are carried out in the turbulent regime for different Reynolds numbers. In this study, thermo-aeraulic fields, dimensionless axial profiles of velocity, skin friction coefficients, local and average heat transfer coefficients, and thermal enhancement factor were investigated, at constant surface temperature condition along the heated upper wall of the channel, for all the geometry under investigation and chosen for various stations. The impact of the cascaded rectangular-triangular geometry of the baffle on the thermal and dynamic behavior of air is shown and this in comparing the data of this obstacle type with those of the simple flat rectangular-shaped baffle. This CFD analysis can be a real application in the field of heat exchangers, solar air collectors, and electronic equipments.
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35

Giri, K. C. "Study of Thermal Performance of Closed Loop Pulsating Heat Pipe using Computational Fluid Dynamics." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (September 30, 2021): 1384–88. http://dx.doi.org/10.22214/ijraset.2021.38088.

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Abstract: Pulsating heat pipe is a heat transfer device which works on two principles that is phase transition and thermal conductivity which transfer heat effectively at different temperatures. Different factors affect the thermal performance of pulsating heat pipe. So, various researchers tried to enhance thermal conductivity by changing parameters such as working fluids, filling ratio, etc. Analysis of heat transfer characteristics of closed loop pulsating heat pipe (CLPHP) is to be carried out by using Computational Fluid Dynamics. The CLPHP is to be modelled on ANSYS Workbench, the flow of CLPHP is to be observed under specific boundary conditions by using ANSYS Fluent software. Acetone and Water are taken as the working fluid with 70% filling ratio at ambient temperature 30° C and the heat flux of 200 W is supplied at evaporator. Also, the analysis has been done to know the behaviour of PHPs under varying supply of heat flux at evaporator (inlet), the output heat flux is obtained at condenser (outlet) and find out how the heat flux is varying at different temperatures. CFD results shows the heat transfer characteristics observing the performance of CLPHP is a numerical manner. The obtained CFD results are compared with the experimental. The outputs of the simulations are plotted in graphs and outlines. Keywords: Closed Loop Pulsating Heat Pipe, CFD, Heat Transfer, ANSYS.
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36

Charles, R. E., and G. S. Samuelsen. "An Experimental Data Base for the Computational Fluid Dynamics of Combustors." Journal of Engineering for Gas Turbines and Power 111, no. 1 (January 1, 1989): 11–14. http://dx.doi.org/10.1115/1.3240208.

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A model axisymmetric gas-fired can combustor is used to (1) establish the sensitivity of the aerodynamic and thermal structure to inlet boundary conditions, and (2) thereby establish a demanding and comprehensive data base for the computational fluid dynamics of combustors. The parameters varied include fuel injection angle and inlet configuration. Detailed characterizations of the aerodynamic and thermal flowfields are accomplished using two-color laser anemometry and a Type R thermocouple, respectively. Specific results show that the reactor operation is especially sensitive to modest changes in both the inlet geometry and fuel injection angle. For example, the addition of a step expansion significantly alters the size and location of the swirl-induced toroidal recirculation zone. Further, the use of the step expansion, in combination with the injection of fuel matched to the swirl aerodynamics, transforms the recirculation zone to an on-axis structure. The addition of a divergent inlet further enhances the effectiveness of the backmixing by enlarging the recirculation zone. The data base developed for these conditions is carefully documented and provides a comprehensive challenge for the computational fluid dynamics of combustors.
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37

Ahmed, Syed Naveed, P. Ravinder Reddy, and Sriram Venkatesh. "Study of the Secondary Flow in Aircraft Engine Compressor Disks using Computational Fluid Dynamics." International Journal for Innovation Education and Research 6, no. 1 (January 31, 2018): 85–104. http://dx.doi.org/10.31686/ijier.vol6.iss1.923.

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The compressor disks of an aircraft engine which operate at very high rotational speeds are exposed to significant temperature gradients. These temperature gradients induce thermal stresses into the rotating disks which along with the existing dynamic stresses significantly reduce their useful field life. Hence it becomes essential to reduce the disk temperature gradients by utilizing a certain percentage of the compressor core flow known as the secondary flow for either heating or cooling these rotating parts. But this extraction of the compressor core flow results in a higher engine fuel burn for a given engine thrust. Hence the need arises for a better utilization of the secondary flow to effectively reduce the temperature gradients of the rotating compressor disks. As the secondary flow thermal phenomenon inside the rotating compressor disk cavities is very complex and due to it’s direct impact on the life expectancy of the disks it becomes critical to understand it’s thermo-fluid behaviour by the effective use of available Computational Fluid Dynamic tools. In the current study the secondary flow through the compressor disk cavities is simulated using Computational Fluid Dynamics (CFD) and the results are analysed and reported. The analysis of these results help in a better understanding of the distribution of the flow and the variations of the thermal fluid parameters across the secondary flow system. These results are also later used as thermal boundary conditions in the Finite Element model (FEM) to study the impact of various engine design parameters on the disk temperature gradients after being validated by the experimental results. The findings from this computer aided investigation offers support in make design improvements aimed at lowering the disk temperature gradients and enhancing their useful field life
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38

Gibson, Rebecca L., Mark J. H. Simmons, E. Hugh Stitt, Li Liu, and Robert W. Gallen. "Non-kinetic phenomena in thermal analysis data; Computational fluid dynamics reactor studies." Chemical Engineering Journal 426 (December 2021): 130774. http://dx.doi.org/10.1016/j.cej.2021.130774.

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39

Reynell, Michael. "Advanced thermal analysis of packaged electronic systems using computational fluid dynamics techniques." Computer-Aided Engineering Journal 7, no. 4 (1990): 104. http://dx.doi.org/10.1049/cae.1990.0025.

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40

Krazinski, J. L., S. P. Vanka, J. A. Pearce, and W. M. Roquemore. "A Computational Fluid Dynamics and Chemistry Model for Jet Fuel Thermal Stability." Journal of Engineering for Gas Turbines and Power 114, no. 1 (January 1, 1992): 104–10. http://dx.doi.org/10.1115/1.2906291.

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This paper describes the development of a model for predicting the thermal decomposition rates of aviation fuels. A thermal deposition model was incorporated into FLANELS-2D, an existing computational fluid dynamics (CFD) code that solves the Reynolds-averaged conservation equations of mass, momentum, and energy. The decomposition chemistry is modeled by three global Arrhenius expressions in which the fuel decomposition was assumed to be due to an autoxidation reaction with dissolved oxygen. The deposition process was modeled by assuming that all deposit-forming species transported to the wall adhered and formed a deposit. Calibration of the model required the determination of the following parameters for a given fuel: (1) the pre-exponential constant and activation energy for the wall reaction, (2) the pre-exponential constant and activation energy for the bulk autoxidation reaction, and (3) the pre-exponential constant and activation energy for the precursor decomposition reaction. Values for these parameters were estimated using experimental data from published heated-tube experiments. Results show that the FLANELS-2D code performed well in estimating the fuel temperatures and that the three-equation chemistry model performed reasonably well in accounting for both the rate of deposition and the amount of dissolved oxygen present in the fuel at the end of the heated tube.
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41

SanAndres, Unai, Gaizka Almandoz, Javier Poza, and Gaizka Ugalde. "Design of Cooling Systems Using Computational Fluid Dynamics and Analytical Thermal Models." IEEE Transactions on Industrial Electronics 61, no. 8 (August 2014): 4383–91. http://dx.doi.org/10.1109/tie.2013.2286081.

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42

Beausoleil-Morrison, Ian. "The adaptive conflation of computational fluid dynamics with whole-building thermal simulation." Energy and Buildings 34, no. 9 (October 2002): 857–71. http://dx.doi.org/10.1016/s0378-7788(02)00061-0.

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43

Negrão, Cezar O. R. "Integration of computational fluid dynamics with building thermal and mass flow simulation." Energy and Buildings 27, no. 2 (April 1998): 155–65. http://dx.doi.org/10.1016/s0378-7788(97)00036-4.

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44

Wichangarm, Mana, Anirut Matthujak, Thanarath Sriveerakul, Sedthawatt Sucharitpwatskul, and Sutthisak Phongthanapanich. "Investigation on thermal efficiency of LPG cooking burner using computational fluid dynamics." Energy 203 (July 2020): 117849. http://dx.doi.org/10.1016/j.energy.2020.117849.

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45

SRINIVAS, K. N., and R. ARUMUGAM. "A Novel Thermal Characterization of Switched Reluctance Motors Involving Computational Fluid Dynamics." Electric Power Components and Systems 32, no. 9 (September 2004): 855–67. http://dx.doi.org/10.1080/15325000490253605.

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46

Flamarz, Sherko. "Computational Study of Heat Transfer Behavior in Fluid-Solid Fluidized Beds." Sulaimani Journal for Engineering Sciences 7, no. 3 (December 30, 2020): 25–41. http://dx.doi.org/10.17656/sjes.10132.

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Heat transfer in fluid-solid fluidized beds is investigated using a combined of computational fluid dynamics (CFD) and discrete element method (DEM) approach, incorporated with a thermal model. The approach has taken into account almost all the mechanisms in heat transfer in fluidized beds. A comparison and validation of hydrodynamic and thermal data of fluidized bed obtained using CFD-DEM thermal approach with experimental and numerical results data in the literature is carried out. The simulations results reveal a good thermal steady state during the simulation time for calculating the thermal behaviors of fluidized beds like; the mean particle temperature, bed porosity, heat transfer coefficient and mean particle Reynolds number. The simulations results are showed a good agreement and consistency with the experimental and numerical data in the literatures. Thus, the integration of combined CFD-DEM with the thermal model is a step toward for the prediction, development the heat transfer efficiency in fluid-solid system, and the decrease of energy consumption of the industrial applications.
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47

Jagadeesh, Duraisamy, Ramasamy Venkatachalam, and Gurusamy Nallakumarasamy. "Transient computational fluid dynamics investigations on thermal performance of solar air heater with hollow vertical fins." Thermal Science 22, no. 6 Part A (2018): 2389–99. http://dx.doi.org/10.2298/tsci170531297d.

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Evaluation of experimental thermal performance of a single pass solar air dryer is compared with a transient CFD studies is performed. Vertical hollow plates are placed below the absorber plate and compared against the flat solar absorber plate for its performance improvement. Effect of mass-flow rate, the outlet temperature of air is computationally analyzed in comparison with the experimental work, transient boundary conditions for CFD like ambient temperature, solar insolation are taken from the experimental work, and computational results are in good agreement of with experimental results with maximum error percentage of 10%. Thermal efficiency was increased with increase in mass-flow area for without fin configuration, for a specific mass-flow rate thermal efficiency had a good improvement with fin configuration than the without fin configuration.
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48

Ye, Ting, and Yu Li. "A Comparative Review of Smoothed Particle Hydrodynamics, Dissipative Particle Dynamics and Smoothed Dissipative Particle Dynamics." International Journal of Computational Methods 15, no. 08 (October 31, 2018): 1850083. http://dx.doi.org/10.1142/s0219876218500834.

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Smoothed particle hydrodynamics (SPH), dissipative particle dynamics (DPD) and smoothed dissipative particle dynamics (SDPD) are three typical and related particle-based methods. They have been increasingly attractive for solving fluid flow problems, especially for the biofluid flow, because of their advantages of ease and flexibility in modeling complex structure fluids. This work aims to review what the exact similarities and differences are among them, by studying four simple fluid flows: (i) self-diffusion of quiescent flow, (ii) time-dependent Coutte flow, (iii) time-dependent Poiseuille flow, and (iv) lid-driven cavity flow. The simulations show that SPH, DPD and SDPD can give the similar results. SPH generates quite smooth results and has zero system temperature due to the absence of thermal fluctuations, suitable for macroscale problems. However, DPD and SDPD have fluctuating results around the reference results and nonzero system temperature with considerable thermal fluctuations, suitable for mesoscale problems. SDPD is more convenient than DPD to some extent, because it is not required to pre-define the force coefficients. SDPD can adopt more diverse equation of state (EOS) than DPD, because its EOS is user-defined unlike the EOS of DPD, inbuilt in the formulations.
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49

Soltani, Mehdi, Chris Barringer, and Timothy T. de Bues. "ICONE15-10866 THERMAL STUDIES OF THE CANISTER STAGING PIT IN A HYPOTHETICAL YUCCA MOUNTAIN CANISTER HANDLING FACILITY USING COMPUTATIONAL FLUID DYNAMICS." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2007.15 (2007): _ICONE1510. http://dx.doi.org/10.1299/jsmeicone.2007.15._icone1510_441.

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50

Madana Gopal, Jaya Vignesh, Robert Morgan, Guillaume De Sercey, and Konstantina Vogiatzaki. "Overview of Common Thermophysical Property Modelling Approaches for Cryogenic Fluid Simulations at Supercritical Conditions." Energies 16, no. 2 (January 12, 2023): 885. http://dx.doi.org/10.3390/en16020885.

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Computational Fluid Dynamics (CFD) frameworks of supercritical cryogenic fluids need to employ Real Fluid models such as cubic Equations of State (EoS) to account for thermal and inertial driven mechanisms of fluid evolution and disintegration. Accurate estimation of the non-linear variation in density, thermodynamic and transport properties is required to computationally replicate the relevant thermo and fluid dynamics involved. This article reviews the availability, performance and the implementation of common Real Fluid EoS and data-based models in CFD studies of supercritical cryogenic fluids. A systematic analysis of supercritical cryogenic fluid (N2, O2 and CH4) thermophysical property predictions by cubic (PR and SRK) and non-cubic (SBWR) Real Fluid EoS, along with Chung’s model, reveal that: (a) SRK EoS is much more accurate than PR at low temperatures of liquid phase, whereas PR is more accurate at the pseudoboiling region and (b) SBWR EoS is more accurate than PR and SRK despite requiring the same input parameters; however, it is limited by the complexity in thermodynamic property estimation. Alternative data-based models, such as tabulation and polynomial methods, have also been shown to be reliably employed in CFD. At the end, a brief discussion on the thermophysical modelling of cryogenic fluids affected by quantum effects is included, in which the unsuitability of the common real fluid EoS models for the liquid phase of such fluids is presented.
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