Bibliographies thématiques / Thermal fluid dynamics computational

Littérature scientifique sur le sujet « Thermal fluid dynamics computational »

Auteur : Grafiati
Publié le 14 mars 2023

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Articles de revues sur le sujet "Thermal fluid dynamics computational"

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

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

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

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Rodríguez-Vázquez, Martin, Iván Hernández-Pérez, Jesus Xamán, Yvonne Chávez, Miguel Gijón-Rivera et Juan M. Belman-Flores. « Coupling building energy simulation and computational fluid dynamics : An overview ». Journal of Building Physics 44, no 2 (2 février 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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Yan, Yihuan, Xiangdong Li et Jiyuan Tu. « Effects of manikin model simplification on CFD predictions of thermal flow field around human bodies ». Indoor and Built Environment 26, no 9 (7 juin 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 (octobre 2001) : 1583–92. http://dx.doi.org/10.1016/s1359-4311(01)00016-3.

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

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

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Xie, Yonghui, Kun Lu, Le Liu et 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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Thèses sur le sujet "Thermal fluid dynamics computational"

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Negrão, Cezar O. R. « Conflation of computational fluid dynamics and building thermal simulation ». Thesis, University of Strathclyde, 1995. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21238.

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The present work is a contribution towards the integration of building simulation tools in order to better represent the complexity of the real world. It attempts to overcome certain shortfalls of contemporary simulation applications with respect to indoor air flows. As a result, the evaluation of building energy consumption and indoor air quality is expected to be improved. Advanced fluid flow models (as employed within Building Thermal Simulation - BTS - and Computational Fluid Dynamics - CFD) with different degrees of detail were investigated and their modelling deficiencies identified. The CFD technique which defines the fluid flow on a micro scale was integrated into BTS in which fluid flow is described in a larger scale. The resulting combined approach strengthens the modelling potential of each methodology by overcoming their specific deficiencies. BTS's inability to predict air flow property gradients within a single space was surmounted and the difficult of estimating CFD boundary conditions are now supplied by BTS. The conflation approach is expected to be employed where gradients of indoor air flow properties can be considered crucial to the evaluation of thermal comfort and energy consumption. The BTS environment, ESP-r, was elected to perform the current work and a new CFD program, dfs, was specifically developed for the analysis of three-dimensional, turbulent, transient air flow. Finally, the two approaches were integrated. The integration work focuses on the CFD boundary conditions where the interactions of BTS and CFD take place; these occur at the inside zone surfaces and at the zone openings. Three conflation approaches were devised addressing different degrees of complexity and sophistication. The first one, involving the two types of zone boundaries, corresponds to a simple approach where the BTS and CFD systems exchange information without any direct interaction. The second approach consists of three other schemes to handle the thermal coupling at the internal zone surfaces. The third approach comprises coupling between the nodal network approach as employed by the BTS environment, and the continuity and momentum equations in the CFD technique. A validation methodology consisting of analytical validation, intermodel comparison and empirical validation is described and applied. The technique is shown to be adequate for modelling indoor air flows when compared to existing models. Three situations, covering the different types of air flows encountered within buildings are discussed to demonstrate the combined method's applicability when compared with the nodal network approach. Finally, general conclusions are presented and some possible future work is identified showing that the developed methodology is very promising.
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Lai, Ho-yin Albert. « Artificial intelligence based thermal comfort control with CFD modelling / ». Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21929555.

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Sagerman, Denton Gregory. « Hypersonic Experimental Aero-thermal Capability Study Through Multilevel Fidelity Computational Fluid Dynamics ». University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1499433256220438.

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Badenhorst, Reginald Ivor. « Computational Fluid Dynamics analysis of flow patterns in a thermal tray dryer ». Diss., University of Pretoria, 2010. http://hdl.handle.net/2263/27534.

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Industrial tray air-dryers are increasingly used for the drying of agricultural products. The main drawback of these dryers is the non-uniform velocity distribution in the drying zone resulting in a non-uniform drying of the product. Computational Fluid Dynamics (CFD) software was implemented to predict and decrease the non-uniform velocity distribution of various dryer configurations. Tunnel dryers in commercial use were used to obtain experimental data. The CFD results were correlated with the test data. Trolley and tray tunnel dryers provide a relatively simple, low capital intensive and versatile method for drying a wide range of products. Artificial drying has the advantage of controlled drying conditions compared to traditional sun drying. The main focus of every tunnel design should be the improvement of the quality of the product in terms of colour, texture and aroma. Increasing the evaporation rate without increasing the energy required to do so, should always be done in-line with this main objective. Many studies focus on the mango structure and food dehydration principles that influence the uniform drying product with the assumption that the airflow over the produce is uniform. Few have been conducted on the air movement inside industrial dryers. CFD analysis predicts the airflow without influencing the airflow pattern compared to the measuring equipment inside test dryers. The experimental data were obtained from an empty dryer without a flow diverter. This was compared to dryer with the flow diverter included and compared to a dryer with the trolleys, trays and mango slices included. The test results showed that turbulence created by this configuration, still played a major role in the nonuniform velocity distribution along the drying zone of the tunnel. The inclusion of a flow diverter did however dampen the swirl effect of the main fan. Measuring the velocity distribution was practically difficult with the handheld devices used, which influenced the accuracy of the measurements taken. This justified the CFD analysis in order to better visualise and predict the airflow pattern inside the dryer. The total average speed CFD results of the sections in the drying zone (without mangoes and trolleys) of the dryer without a flow diverter was 11.2% higher compared to the test results. It was 14% higher for the dryer with the flow diverter included. The dryer with the mangoes, trays, trolleys and flow diverter showed a large difference where the total average speed of the CFD analysis was 49% higher compared to the test results. The main reason for the difference of the CFD analysis compared to the measured results are the factors that influenced the uncertainty of the experimental set up. The CFD analysis showed that the coefficient of variance (CV) of the dryer with the flow diverter (mangoes and trolleys included) was 3% lower compared to the dryer without one. Various dryer configurations were analysed using the CFD software to investigate what the best combination of flow diverter, vanes and blanking-off plates would be. A dryer configuration where flow diverters (Up-and-downstream of the main fan) above the false ceiling and inside the drying zone was analysed. A 16% decrease in terms of the CV value was obtained compared to the dryer with just the flow diverter downstream of main fan above the false ceiling. There was however a large region of swirl upstream of the main above the false ceiling resulting in a larger loss of heated air through the outlet fan before it reached the drying zone. The cost of manufacturing a simple vane and flow diverter for an existing dryer is 4% of the initial building costs (excluding the initial cost of the trolleys). The overall drying uniformity of this dryer is improved according to the CFD analysis by 7%. A cost analysis (taking into account the 15 year life cycle of a dryer) in terms of the energy requirement to evaporate water from the drying zone, showed that the dryer with the flow diverter was 6% less expensive to run on a yearly basis. Labour costs will be lower due to man-hours saved in terms of sorting out the wet slices from the dried product. Resources (dryers and trolleys) that would have been used for re-drying the wet produce, could now be implemented to increase the production rate of the plant. Copyright
Dissertation (MEng)--University of Pretoria, 2010.
Mechanical and Aeronautical Engineering
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Paul, Steven Timothy. « A Computational Framework for Fluid-Thermal Coupling of Particle Deposits ». Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83544.

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This thesis presents a computational framework that models the coupled behavior between sand deposits and their surrounding fluid. Particle deposits that form in gas turbine engines and industrial burners, can change flow dynamics and heat transfer, leading to performance degradation and impacting durability. The proposed coupled framework allows insight into the coupled behavior of sand deposits at high temperatures with the flow, which has not been available previously. The coupling is done by using a CFD-DEM framework in which a physics based collision model is used to predict the post-collision state-of-the-sand-particle. The collision model is sensitive to temperature dependent material properties of sand. Particle deposition is determined by the particle's softening temperature and the calculated coefficient of restitution of the collision. The multiphase treatment facilitates conduction through the porous deposit and the coupling between the deposit and the fluid field. The coupled framework was first used to model the behavior of softened sand particles in a laminar impinging jet flow field. The temperature of the jet and the impact surface were varied(T^* = 1000 – 1600 K), to observe particle behavior under different temperature conditions. The Reynolds number(Rejet = 20, 75, 100) and particle Stokes numbers (Stp = 0.53, 0.85, 2.66, 3.19) were also varied to observe any effects the particles' responsiveness had on deposition and the flow field. The coupled framework was found to increase or decrease capture efficiency, when compared to an uncoupled simulation, by as much as 10% depending on the temperature field. Deposits that formed on the impact surface, using the coupled framework, altered the velocity field by as much as 130% but had a limited effect on the temperature field. Simulations were also done that looked at the formation of an equilibrium deposit when a cold jet impinged on a relatively hotter surface, under continuous particle injection. An equilibrium deposit was found to form as deposited particles created a heat barrier on the high temperature surface, limiting more particle deposition. However, due to the transient nature of the system, the deposit temperature increased once deposition was halted. Further particle injection was not performed, but it can be predicted that the formed deposit would begin to grow again. Additionally, a Large-Eddy Simulation (LES) simulation, with the inclusion of the Smagorinsky subgrid model, was performed to observe particle deposition in a turbulent flow field. Deposition of sand particles was observed as a turbulent jet (Re jet=23000,T_jet^*= 1200 K) impinged on a hotter surface(T_surf^*= 1600 K). Differences between the simulated flow field and relevant experiments were attributed to differing jet exit conditions and impact surface thermal conditions. The deposit was not substantive enough to have a significant effect on the flow field. With no difference in the flow field, no difference was found in the capture efficiency between the coupled and decoupled frameworks.
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Sazhina, E. M. « Numerical analysis of autoignition and thermal radiation processes in diesel engines ». Thesis, University of Brighton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299221.

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黎浩然 et Ho-yin Albert Lai. « Artificial intelligence based thermal comfort control with CFD modelling ». Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B3122278X.

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Gowreesunker, Baboo Lesh Singh. « Phase change thermal enery storage for the thermal control of large thermally lightweight indoor spaces ». Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/7649.

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Energy storage using Phase Change Materials (PCMs) offers the advantage of higher heat capacity at specific temperature ranges, compared to single phase storage. Incorporating PCMs in lightweight buildings can therefore improve the thermal mass, and reduce indoor temperature fluctuations and energy demand. Large atrium buildings, such as Airport terminal spaces, are typically thermally lightweight structures, with large open indoor spaces, large glazed envelopes, high ceilings and non-uniform internal heat gains. The Heating, Ventilation and Air-Conditioning (HVAC) systems constitute a major portion of the overall energy demand of such buildings. This study presented a case study of the energy saving potential of three different PCM systems (PCM floor tiles, PCM glazed envelope and a retrofitted PCM-HX system) in an airport terminal space. A quasi-dynamic coupled TRNSYS®-FLUENT® simulation approach was used to evaluate the energy performance of each PCM system in the space. FLUENT® simulated the indoor air-flow and PCM, whilst TRNSYS® simulated the HVAC system. Two novel PCM models were developed in FLUENT® as part of this study. The first model improved the phase change conduction model by accounting for hysteresis and non-linear enthalpy-temperature relationships, and was developed using data from Differential Scanning Calorimetry tests. This model was validated with data obtained in a custom-built test cell with different ambient and internal conditions. The second model analysed the impact of radiation on the phase change behaviour. It was developed using data from spectrophotometry tests, and was validated with data from a custom-built PCM-glazed unit. These developed phase change models were found to improve the prediction errors with respect to conventional models, and together with the enthalpy-porosity model, they were used to simulate the performance of the PCM systems in the airport terminal for different operating conditions. This study generally portrayed the benefits and flexibility of using the coupled simulation approach in evaluating the building performance with PCMs, and showed that employing PCMs in large, open and thermally lightweight spaces can be beneficial, depending on the configuration and mode of operation of the PCM system. The simulation results showed that the relative energy performance of the PCM systems relies mainly on the type and control of the system, the night recharge strategy, the latent heat capacity of the system, and the internal heat gain schedules. Semi-active systems provide more control flexibility and better energy performance than passive systems, and for the case of the airport terminal, the annual energy demands can be reduced when night ventilation of the PCM systems is not employed. The semi-active PCM-HX-8mm configuration without night ventilation, produced the highest annual energy and CO2 emissions savings of 38% and 23%, respectively, relative to a displacement conditioning (DC) system without PCM systems.
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Davies, Gareth Frank. « Development of a predictive model of the performance of domestic gas ovens using computational fluid dynamics ». Thesis, London South Bank University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263995.

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Louw, Andre Du Randt. « Discrete and porous computational fluid dynamics modelling of an air-rock bed thermal energy storage system ». Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86233.

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Thesis (MScEng)--Stellenbosch University, 2014.
ENGLISH ABSTRACT: Concentrating solar power promises to be a potential solution for meeting the worlds energy needs in the future. One of the key features of this type of renewable energy technology is its ability to store energy effectively and relatively cheaply. An air-rock bed thermal energy storage system promises to be an effective and reasonably inexpensive storage system for concentrating solar power plants. Currently there is no such storage system commercially in operation in any concentrating solar power plant, and further research is required before such a system can be implemented. The main research areas to address are the thermal-mechanical behaviour of rocks, rock bed pressure drop correlations and effective and practical system designs. Recent studies have shown that the pressure drop over a packed bed of rocks is dependant on various aspects such as particle orientation relative to the flow direction, particle shape and surface roughness. The irregularity and unpredictability of the particle shapes make it difficult to formulate a general pressure drop correlation. Typical air-rock bed thermal design concepts consist of a large vertical square or cylindrical vessel in which the bed is contained. Such system designs are simple but susceptible to the ratcheting effect and large pressure drops. Several authors have proposed concepts to over-come these issues, but there remains a need for tools to prove the feasibility of the designs. The purpose of this paper is to investigate aDEM-CFD coupled approach that can aid the development of an air-rock bed thermal energy storage system. This study specifically focuses on the use of CFD. A complementary study focusses on DEM. The two areas of focus in this study are the pressure drop and system design. A discrete CFD simulation model is used to predict pressure drop over packed beds containing spherical and irregular particles. DEM is used to create randomly packed beds containing either spherical or irregularly shaped particles. This model is also used to determine the heat transfer between the fluid and particle surface. A porous CFD model is used to model system design concepts. Pressure drop and heat transfer data predicted by the discrete model, is used in the porous model to describe the pressure drop and thermal behaviour of a TES system. Results from the discrete CFD model shows that it can accurately predict the pressure drop over a packed bed of spheres with an average deviation of roughly 10%fromresults found in literature. The heat transfer between the fluid and particle surface also is accurately predicted, with an average deviation of between 13.36 % and 21.83 % from results found in literature. The discrete CFD model for packed beds containing irregular particles presented problems when generating a mesh for the CFD computational domain. The clump logic method was used to represent rock particles in this study. This method was proven by other studies to accurately model the rock particle and the rock packed bed structure using DEM. However, this technique presented problems when generating the surface mesh. As a result a simplified clump model was used to represent the rock particles. This simplified clump model showed characteristics of a packed bed of rocks in terms of pressure drop and heat transfer. However, the results suggest that the particles failed to represent formdrag. This was attributed to absence of blunt surfaces and sharp edges of the simplified clumpmodel normally found on rock particles. The irregular particles presented in this study proved to be inadequate for modelling universal characteristics of a packed bed of rocks in terms of pressure drop. The porous CFD model was validated against experimental measurement to predict the thermal behaviour of rock beds. The application of the porous model demonstrated that it is a useful design tool for system design concepts.
AFRIKAANSE OPSOMMING: Gekonsentreerde sonkrag beloof om ’n potensiële toekomstige oplossing te wees vir die wêreld se groeiende energie behoeftes. Een van die belangrikste eienskappe van hierdie tipe hernubare energie tegnologie is die vermoë om energie doeltreffend en relatief goedkoop te stoor. ’n Lug-klipbed termiese energie stoorstelsel beloof om ’n doeltreffende en redelik goedkoop stoorstelsel vir gekonsentreerde sonkragstasies te wees . Tans is daar geen sodanige stoorstelsel kommersieël in werking in enige gekonsentreerde sonkragstasie nie. Verdere navorsing is nodig voordat so ’n stelsel in werking gestel kan word. Die belangrikste navorsingsgebiede om aan te spreek is die termies-meganiese gedrag van klippe, klipbed drukverlies korrelasies en effektiewe en praktiese stelsel ontwerpe. Onlangse studies het getoon dat die drukverlies oor ’n gepakte bed van klippe afhanklik is van verskeie aspekte soos partikel oriëntasie tot die vloeirigting, partikel vormen oppervlak grofheid. Die onreëlmatigheid en onvoorspelbaarheid van die klip vorms maak dit moeilik om ’n algemene drukverlies korrelasie te formuleer. Tipiese lug-klipbed termiese ontwerp konsepte bestaan uit ’n groot vertikale vierkantige of silindriese houer waarin die gepakte bed is. Sodanige sisteem ontwerpe is eenvoudig, maar vatbaar vir die palrat effek en groot drukverliese. Verskeie studies het voorgestelde konsepte om hierdie kwessies te oorkom, maar daar is steeds ’n behoefte aanmetodes om die haalbaarheid van die ontwerpe te bewys. Die doel van hierdie studie is om ’n Diskreet Element Modelle (DEM) en numeriese vloeidinamika gekoppelde benadering te ontwikkel wat ’n lug-klipbed termiese energie stoorstelsel kan ondersoek. Hierdie studie fokus spesifiek op die gebruik van numeriese vloeidinamika. ’n Aanvullende studie fokus op DEM. Die twee areas van fokus in hierdie studie is die drukverlies en stelsel ontwerp. ’n Diskrete numeriese vloeidinamika simulasie model word gebruik om drukverlies te voorspel oor gepakte beddens met sferiese en onreëlmatige partikels. DEM word gebruik om lukraak gepakte beddens van óf sferiese óf onreëlmatige partikels te skep. Hierdie model is ook gebruik om die hitte-oordrag tussen die vloeistof en partikel oppervlak te bepaal. ’n Poreuse numeriese vloeidinamika model word gebruik omdie stelsel ontwerp konsepte voor te stel. Drukverlies en hitte-oordrag data, voorspel deur die diskrete model, word gebruik in die poreuse model om die drukverlies- en hittegedrag van ’n TES-stelsel te beskryf. Resultate van die diskrete numeriese vloeidinamikamodel toon dat dit akkuraat die drukverlies oor ’n gepakte bed van sfere kan voorspel met ’n gemiddelde afwyking van ongeveer 10%van die resultatewat in die literatuur aangetref word. Die hitte-oordrag tussen die vloeistof en partikel oppervlak is ook akkuraat voorspel, met ’n gemiddelde afwyking van tussen 13.36%en 21.83%van die resultate wat in die literatuur aangetref word. Die diskrete numeriese vloeidinamika model vir gepakte beddens met onreëlmatige partikels bied probleme wanneer ’n maas vir die numeriese vloeidinamika, numeriese domein gegenereer word. Die "clump"logika metode is gebruik om klip partikels te verteenwoordig in hierdie studie. Hierdiemetode is deur ander studies bewys om akkuraat die klip partikel en die klip gepakte bed-struktuur te modelleer deur die gebruik van DEM. Hierdie tegniek het egter probleme gebied toe die oppervlak maas gegenereer is. As gevolg hiervan is ’n vereenvoudigde "clump"model gebruik om die klip partikels te verteenwoordig. Die vereenvoudigde "clump"model vertoon karakteristieke eienskappe van ’n gepakte bed van klippe in terme van drukverlies en hitte oordrag. Die resultate het egter getoon dat die partikels nie vorm weerstand verteenwoordig nie. Hierdie resultate kan toegeskryf word aan die afwesigheid van gladde oppervlaktes en skerp kante, wat normaalweg op klip partikels gevind word, in die vereenvoudigde "clump"model. Die oneweredige partikels wat in hierdie studie voorgestel word, blykomnie geskik tewees vir die modellering van die universele karakteristieke eienskappe van ’n gepakte bed van klippe in terme van drukverlies nie. Die poreuse numeriese vloeidinamika model is met eksperimentele metings bevestig omdie termiese gedrag van klipbeddens te voorspel. Die toepassing van die poreuse model demonstreer dat dit ’n nuttige ontwerp metode is vir stelsel ontwerp konsepte.
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Livres sur le sujet "Thermal fluid dynamics computational"

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Bottoni, Maurizio. Physical Modeling and Computational Techniques for Thermal and Fluid-dynamics. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-79717-1.

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Antonio, Naviglio, dir. Thermal hydraulics. Boca Raton, Fla : CRC Press, 1988.

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Kuhn, Gary D. Postflight aerothermodynamic analysis of Pegasus[copyright] using computational fluid dynamic techniques. Edwards, Calif : National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1992.

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V, Kudriavtsev Vladimir, Kleijn Chris R. 1960-, Kawano Satoyuki, American Society of Mechanical Engineers. Pressure Vessels and Piping Division. et Pressure Vessels and Piping Conference (1999 : Boston, Mass.), dir. Computational technologies for fluid/thermal/structural/chemical systems with industrial applications : Presented at the 1999 ASME Pressure Vessels and Piping Conference, Boston, Massachusetts, August 1-5, 1999. New York, N.Y : American Society of Mechanical Engineers, 1999.

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Center, Langley Research, dir. Evaluation of an adaptive unstructured remeshing technique for integrated fluid-thermal-structural analysis. Hampton, Va : National Aeronautics and Space Administration, Langley Research Center ; a [Springfield, Va., 1990.

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V, Kudriavtsev Vladimir, Kawano Satoyuki, Kleijn Chris R. 1960-, American Society of Mechanical Engineers. Pressure Vessels and Piping Division. et Pressure Vessels and Piping Conference (2001 : Atlanta, Ga.), dir. Computational technologies for fluid/thermal/structural/chemical systems with industrial applications, 2001 : Presented at the 2001 ASME Pressure Vessels and Piping Conference, Atlanta, Georgia, July 22-26, 2001. New York, N.Y : American Society of Mechanical Engineers, 2001.

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Center, NASA Glenn Research, dir. Ninth Thermal and Fluids Analysis Workshop proceedings : Proceedings of a conference held at ... NASA Glenn Research Center, Cleveland, Ohio, August 31-September 4, 1998. [Cleveland, Ohio] : National Aeronautics and Space Administration, Glenn Research Center, 1999.

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1960-, Kleijn Chris R., Kawano Satoyuki, Kudriavtsev Vladimir V, American Society of Mechanical Engineers. Pressure Vessels and Piping Division. et Pressure Vessels and Piping Conference (2002 : Vancouver, British Columbia), dir. Computational technologies for fluid/thermal/structural/chemical systems with industrial applications : Presented at the 2002 ASME Pressure Vessels and Piping Conference : Vancouver, British Columbia, Canada, August 5-9, 2002. New York, New York : American Society of Mechanical Engineers, 2002.

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D, Vijayaraghavan, United States. National Aeronautics and Space Administration. et U.S. Army Research Laboratory., dir. Film temperatures in the presence of cavitation. [Washington, D.C.] : National Aeronautics and Space Administration, 1995.

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D, Vijayaraghavan, United States. National Aeronautics and Space Administration. et U.S. Army Research Laboratory., dir. Film temperatures in the presence of cavitation. [Washington, D.C.] : National Aeronautics and Space Administration, 1995.

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Plus de sources

Chapitres de livres sur le sujet "Thermal fluid dynamics computational"

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Bärwolff, Günter. « Optimization of a Thermal Coupled Flow Problem ». Dans Computational Fluid Dynamics 2002, 337–42. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59334-5_49.

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Hannemann, Volker. « Numerical investigation of an effusion cooled thermal protection material ». Dans Computational Fluid Dynamics 2006, 671–76. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92779-2_105.

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Markov, Andrey, Igor Filimonov et Karen Martirosyan. « Thermal Reaction Wave Simulation Using Micro and Macro Scale Interaction Model ». Dans Computational Fluid Dynamics 2010, 929–36. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17884-9_126.

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Lei, Chengwang, John C. Patterson et Duncan E. Farrow. « Thermal Layer Instability in a Shallow Wedge Subject to Solar Radiation ». Dans Computational Fluid Dynamics 2002, 797–98. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59334-5_132.

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Holdsworth, S. Donald, et Ricardo Simpson. « Computational Fluid Dynamics in Thermal Food Processing ». Dans Food Engineering Series, 369–81. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24904-9_18.

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Reddy, Mula Venkata Ramana, S. D. Ravi, P. S. Kulkarni et N. K. S. Rajan. « Numerical Model for the Analysis of the Thermal-Hydraulic Behaviors in the Calandria Based Reactor ». Dans Computational Fluid Dynamics 2010, 669–76. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17884-9_85.

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Kadowaki, Satoshi, et Shin-ichirow Goma. « The Numerical Analysis of Cellular Premixed Flames Based on the Diffusive—Thermal and Navier—Stokes Equations ». Dans Computational Fluid Dynamics 2000, 201–6. Berlin, Heidelberg : Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56535-9_28.

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Younis, O., J. Pallares et F. X. Grau. « Effect of the thermal boundary conditions and physical properties variation on transient natural convection of high Prandtl number fluids ». Dans Computational Fluid Dynamics 2006, 813–18. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92779-2_128.

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Sinai, Yehuda. « Fundamentals of Thermal Radiation ». Dans Radiation Heat Transfer Modelling with Computational Fluid Dynamics, 25–63. Boca Raton : CRC Press, 2022. http://dx.doi.org/10.1201/9781003168560-4.

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Sinai, Yehuda. « Fundamentals of Thermal Radiation ». Dans Radiation Heat Transfer Modelling with Computational Fluid Dynamics, 25–63. Boca Raton : CRC Press, 2022. http://dx.doi.org/10.1201/9781003168560-4.

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Actes de conférences sur le sujet "Thermal fluid dynamics computational"

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Hassan, Basil, William Oberkampf, Richard Neiser, Amalia Lopez et Timothy Roemer. « Computational and experimental investigation of High-Velocity Oxygen-Fuel (HVOF) thermal spraying ». Dans Fluid Dynamics Conference. Reston, Virigina : American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1939.

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Wismer, Samantha E., Lee A. Dosse et Matthew M. Barry. « INTEGRATION OF COMPUTATIONAL FLUID DYNAMICS INTO AN INTRODUCTORY FLUID MECHANICS COURSE ». Dans 7th Thermal and Fluids Engineering Conference (TFEC). Connecticut : Begellhouse, 2022. http://dx.doi.org/10.1615/tfec2022.emt.040708.

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ZHANG, JAMES, et SAMIM ANGHAIE. « Numerical simulation of thermal and flow field in Ultrahigh Temperature Vapor Core Reactor ». Dans 9th Computational Fluid Dynamics Conference. Reston, Virigina : American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-1990.

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Tekriwal, Prabhat. « Optimum Range Thermal Design With Computational Fluid Dynamics ». Dans ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-43361.

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Résumé :
A typical cooking range design requires that UL temperature requirements be met on outside surfaces for consumer safety. Another important consumer preference is that the range oven cavity be large in capacity so that it provides more cooking flexibility to consumers. These two requirements are in conflict with each other from design standpoint. CFD (Computational Fluid Dynamics) has proven to be a good design tool in balancing these opposing requirements and providing a optimum design without having to experiment with several design options and prototyping. The width of the air-wash that is used to cool the cooking range door through natural convection has been optimized with the aid of computational fluid dynamics. Increasing the air-wash width helps reduce the door surface temperature up to certain point, beyond which no gains in temperature reduction are realized.
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Karlsson, Rolf, Paul Van Benthem et Monirul Islam. « Vehicle Underbody Thermal Simulation Using Computational Fluid Dynamics ». Dans International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States : SAE International, 1999. http://dx.doi.org/10.4271/1999-01-0579.

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Black, Amalia, Michael Hobbs, Kevin Dowding et Thomas Blanchat. « Uncertainty Quantification and Model Validation of Fire/Thermal Response Predictions ». Dans 18th AIAA Computational Fluid Dynamics Conference. Reston, Virigina : American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-4204.

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Agonafer, Keduse P., Nikhil Lakhkar, Dereje Agonafer et Andrew Morrison. « Solar shroud design using Computational Fluid Dynamics ». Dans 2010 12th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm). IEEE, 2010. http://dx.doi.org/10.1109/itherm.2010.5501399.

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Cartwright, Michael, et Lin-Jie Huang. « HVAC System Design and Optimization Utilizing Computational Fluid Dynamics ». Dans 1995 Vehicle Thermal Management Systems Conference and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States : SAE International, 1997. http://dx.doi.org/10.4271/971853.

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Aguilar Sanchez, Herly, Cesar Celis et Marcio Carmo Lopes Pontes. « COMPUTATIONAL FLUID DYNAMICS (CFD) BASED APPROACHES FOR MODELING AIRCRAFT TURBOFANS ». Dans Brazilian Congress of Thermal Sciences and Engineering. ABCM, 2018. http://dx.doi.org/10.26678/abcm.encit2018.cit18-0300.

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« Computational Fluid Dynamics Model of thermal microenvironments of corals ». Dans 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.a7.ong.

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Rapports d'organisations sur le sujet "Thermal fluid dynamics computational"

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Mays, Brian, et R. Brian Jackson. Thermal Hydraulic Computational Fluid Dynamics Simulations and Experimental Investigation of Deformed Fuel Assemblies. Office of Scientific and Technical Information (OSTI), mars 2017. http://dx.doi.org/10.2172/1346027.

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Froehle, P., A. Tentner et C. Wang. Modeling and analysis of transient vehicle underhood thermo - hydrodynamic events using computational fluid dynamics and high performance computing. Office of Scientific and Technical Information (OSTI), septembre 2003. http://dx.doi.org/10.2172/834718.

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Hall, Charles A. Computational Fluid Dynamics. Fort Belvoir, VA : Defense Technical Information Center, juin 1986. http://dx.doi.org/10.21236/ada177171.

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Hall, Charles A., et Thomas A. Porsching. Computational Fluid Dynamics. Fort Belvoir, VA : Defense Technical Information Center, janvier 1990. http://dx.doi.org/10.21236/ada219557.

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Haworth, D. C., P. J. O'Rourke et R. Ranganathan. Three-Dimensional Computational Fluid Dynamics. Office of Scientific and Technical Information (OSTI), septembre 1998. http://dx.doi.org/10.2172/1186.

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Calahan, D. A. Massively-Parallel Computational Fluid Dynamics. Fort Belvoir, VA : Defense Technical Information Center, octobre 1989. http://dx.doi.org/10.21236/ada217732.

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Garabedian, Paul R. Computational Fluid Dynamics and Transonic Flow. Fort Belvoir, VA : Defense Technical Information Center, octobre 1994. http://dx.doi.org/10.21236/ada288962.

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Garabedian, Paul R. Computational Fluid Dynamics and Transonic Flow. Fort Belvoir, VA : Defense Technical Information Center, octobre 1994. http://dx.doi.org/10.21236/ada292797.

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Wagner, Matthew, et Marianne M. Francois. Computational Fluid Dynamics of rising droplets. Office of Scientific and Technical Information (OSTI), septembre 2012. http://dx.doi.org/10.2172/1050489.

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OBERKAMPF, WILLIAM L., et TIMOTHY G. TRUCANO. Verification and Validation in Computational Fluid Dynamics. Office of Scientific and Technical Information (OSTI), mars 2002. http://dx.doi.org/10.2172/793406.

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