Low Prandtl Number Thermal-Hydraulics*
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Convection Heat Transfer
Convection Heat Transfer Heat transfer from a solid to the surrounding fluid Consider fluid motion Recall flow of water in a pipe Thermal Boundary Layer • A temperature profile similar to velocity profile. Temperature of pipe surface is kept constant. At the end of the thermal entry region, the boundary layer extends to the center of the pipe. Therefore, two boundary layers: hydrodynamic boundary layer and a thermal boundary layer. Analytical treatment is beyond the scope of this course. Instead we will use an empirical approach. Drawback of empirical approach: need to collect large amount of data. Reynolds Number: Nusselt Number: it is the dimensionless form of convective heat transfer coefficient. Consider a layer of fluid as shown If the fluid is stationary, then And Dividing Replacing l with a more general term for dimension, called the characteristic dimension, dc, we get hd N ≡ c Nu k Nusselt number is the enhancement in the rate of heat transfer caused by convection over the conduction mode. If NNu =1, then there is no improvement of heat transfer by convection over conduction. On the other hand, if NNu =10, then rate of convective heat transfer is 10 times the rate of heat transfer if the fluid was stagnant. Prandtl Number: It describes the thickness of the hydrodynamic boundary layer compared with the thermal boundary layer. It is the ratio between the molecular diffusivity of momentum to the molecular diffusivity of heat. kinematic viscosity υ N == Pr thermal diffusivity α μcp N = Pr k If NPr =1 then the thickness of the hydrodynamic and thermal boundary layers will be the same. -
Laws of Similarity in Fluid Mechanics 21
Laws of similarity in fluid mechanics B. Weigand1 & V. Simon2 1Institut für Thermodynamik der Luft- und Raumfahrt (ITLR), Universität Stuttgart, Germany. 2Isringhausen GmbH & Co KG, Lemgo, Germany. Abstract All processes, in nature as well as in technical systems, can be described by fundamental equations—the conservation equations. These equations can be derived using conservation princi- ples and have to be solved for the situation under consideration. This can be done without explicitly investigating the dimensions of the quantities involved. However, an important consideration in all equations used in fluid mechanics and thermodynamics is dimensional homogeneity. One can use the idea of dimensional consistency in order to group variables together into dimensionless parameters which are less numerous than the original variables. This method is known as dimen- sional analysis. This paper starts with a discussion on dimensions and about the pi theorem of Buckingham. This theorem relates the number of quantities with dimensions to the number of dimensionless groups needed to describe a situation. After establishing this basic relationship between quantities with dimensions and dimensionless groups, the conservation equations for processes in fluid mechanics (Cauchy and Navier–Stokes equations, continuity equation, energy equation) are explained. By non-dimensionalizing these equations, certain dimensionless groups appear (e.g. Reynolds number, Froude number, Grashof number, Weber number, Prandtl number). The physical significance and importance of these groups are explained and the simplifications of the underlying equations for large or small dimensionless parameters are described. Finally, some examples for selected processes in nature and engineering are given to illustrate the method. 1 Introduction If we compare a small leaf with a large one, or a child with its parents, we have the feeling that a ‘similarity’ of some sort exists. -
Separation Points of Magnetohydrodynamic Boundary
Journal of Naval Architecture and Marine Engineering June,2018 http://dx.doi.org/10.3329/jname.v15i2.29966 http://www.banglajol.info MATHEMATICAL ANALYSIS OF NON-NEWTONIAN NANOFLUID TRANSPORT PHENOMENA PAST A TRUNCATED CONE WITH NEWTONIAN HEATING N. Nagendra1*, C. H. Amanulla2 and M. Suryanarayana Reddy3 1Department of Mathematics, Madanapalle Institute of Technology and Science, Madanapalle-517325, India. *Email: [email protected] 2Department of Mathematics, Jawaharlal Nehru Technological University, Anantapur, Anantapuramu-515002, India. Email: [email protected] 3Department of Mathematics, JNTUA College of Engineering, Pulivendula-516390, India. Email: [email protected] Abstract: In the present study, we analyze the heat, momentum and mass (species) transfer in external boundary layer flow of Casson nanofluid past a truncated cone surface with Biot Number effect is studied theoretically. The effects of Brownian motion and thermophoresis are incorporated in the model in the presence of both heat and nanoparticle mass transfer Biot Number effect. The governing partial differential equations (PDEs) are transformed into highly nonlinear, coupled, multi-degree non-similar partial differential equations consisting of the momentum, energy and concentration equations via appropriate non-similarity transformations. These transformed conservation equations are solved subject to appropriate boundary conditions with a second order accurate finite difference method of the implicit type. The influences of the emerging parameters i.e. Casson fluid parameter (β)(≥ 1), Brownian motion parameter (Nb) thermophoresis parameter (Nt), Lewis number (Le)(≥ 5), Buoyancy ratio parameter (N )( ≥ 0) Prandtl number (Pr) (7≤ Pr ≤ 100) and Biot number (Bi) (0.25 ≤ Bi ≤ 1)on velocity, temperature and nano-particle concentration distributions is illustrated graphically and interpreted at length. -
Arevas Thermal-Hydraulic Platform Content
Focus on Technology AREVAs Thermal-Hydraulic Platform Content Infrastructure and Technology • Thermal-Hydraulic Platform - Unique in the World • Infrastructure for Full-Scale Thermal-Hydraulic Test Facilities • Fluid-Dynamic and Thermal-Hydraulic Analysis • Similitude Tests, Optimization of Components and Processes • BENSON - Thermal-Hydraulic Separate Effect Tests • Vibrations and Mechanical Tests, Optimization of Power Plant Components • Seismic and Vibration Testing • Flow-Induced Vibration Tests, Optimization of Power Plant Components • Flow Model Tests, Optimization of Power Plant Components and Processes • Test Facilities for Power and Process Industry Applications Integral Loops • INKA - Karlstein Integral Test Stand • PKL - PWR Integral System Test Facility Qualification of Components • KOPRA - Component Test Facility, Qualification and Testing of Components at Full Scale • KOPRA - Core Component Test Section, Qualification of Primary-System Components • KOPRA - Test Section for Control Rod Drive Mechanisms • KOPRA - Valve Test Section • KOPRA - Special Valve Analyzing and Testing • KATHY Loop for Critical Heat Flux (CHF) Tests • PETER - PWR Fuel Element Tests at Erlangen • Fuel Assembly’s Components Testing • Reactor Steam Generator Component Testing • GAP The World’s largest Valve Test Facility • APPEL - AREVA Pump Test Loop • DEREST - Debris Retention System Test Facility • JAVAPlus Test Facility for Qualifying FCVSPlus • KADYSS - Test Facility for Qualifying Pump Seal System • Environmental Qualification of Containment Components -
Experimental Determination of Heat Transfer Coefficients in Uranium Zirconium Hydride Fuel Rod
2005 International Nuclear Atlantic Conference - INAC 2005 Santos, SP, Brazil, August 28 to September 2, 2005 ASSOCIAÇÃO BRASILEIRA DE ENERGIA NUCLEAR - ABEN ISBN: 85-99141-01-5 EXPERIMENTAL DETERMINATION OF HEAT TRANSFER COEFFICIENTS IN URANIUM ZIRCONIUM HYDRIDE FUEL ROD Amir Z. Mesquita, Hugo C. Rezende e Antônio Carlos L. da Costa Centro de Desenvolvimento da Tecnologia Nuclear (CDTN / CNEN – MG) Campus da UFMG - Pampulha 30.123-970 Belo Horizonte, MG [email protected] , [email protected] e [email protected] ABSTRACT This work presents the experiments and theoretical analysis to determine the temperature parameter of the uranium zirconium hydride fuel elements, used in the TRIGA IPR-R1 Research Nuclear Reactor. The fuel thermal conductivity and the heat transfer coefficient from the cladding to the coolant were evaluated experimentally. It was also presented a correlation for the gap conductance between the fuel and the cladding. In the case of nuclear fuels the heat parameters become functions of the irradiation as a result of change in the chemical and physical composition. The value of the heat transfer coefficients should be determined experimentally. 1. INTRUDUCTION The TRIGA IPR-R1 Nuclear Research Reactor, of the Nuclear Technology Development Center - CDTN, localized in Belo Horizonte (Brazil) is a Mark I type, manufactured by General Atomic, cooling by light water, open-pool design and having as fuel an alloy of zirconium hydride and uranium enriched at 20% in 235 U. The heat, generated by the fissions is transferred from fuel elements to the cooling system through the interface fuel/cladding (gap) and the cladding to the coolant. -
An Experimental Approach to Determine the Heat Transfer Coefficient in Directional Solidification Furnaces
Journal of Crystal Growth 113 (1991) 557-565 PRECEDING p_GE B,LA(]'_,,_O'_7FILMED North-Holland N9 Y. An experimental approach to determine the heat transfer coefficient in directional solidification furnaces Mohsen Banan, Ross T. Gray and William R. Wilcox Center for Co,stal Growth in Space and School of Engineering, Clarkson University, Potsdam, New York 13699, USA Received 13 November 1990; manuscript received in final form 22 April 1991 f : The heat transfer coefficient between a molten charge and its surroundings in a Bridgman furnace was experimentally determined using m-sttu temperature measurement. The ampoule containing an isothermal melt was suddenly moved from a higher temperature ' zone to a lower temperature zone. The temperature-time history was used in a lumped-capacity cooling model to evaluate the heat i transfer coefficient between the charge and the furnace. The experimentally determined heat transfer coefficient was of the same i order of magnitude as the theoretical value estimated by standard heat transfer calculations. 1. Introduction Chang and Wilcox [1] showed that increasing the Biot number in Bridgman growth affects the A variety of directional solidification tech- position and shape of the isotherms in the furnace. niques are used for preparation of materials, espe- The sensitivity of interface position to the hot and cially for growth of single crystals. These tech- cold zone temperatures is greater for small Blot niques include the vertical Bridgman-Stockbarger, number. horizontal Bridgman, zone-melting, and gradient Fu and Wilcox [2] showed that decreasing the freeze methods. It is time consuming and costly to Biot numbers in the hot and cold zones of a experimentally determine the optimal thermal vertical Bridgman-Stockbarger system results in conditions of a furnace utifized to grow a specific isotherms becoming less curved. -
Turbulent-Prandtl-Number.Pdf
Atmospheric Research 216 (2019) 86–105 Contents lists available at ScienceDirect Atmospheric Research journal homepage: www.elsevier.com/locate/atmosres Invited review article Turbulent Prandtl number in the atmospheric boundary layer - where are we T now? ⁎ Dan Li Department of Earth and Environment, Boston University, Boston, MA 02215, USA ARTICLE INFO ABSTRACT Keywords: First-order turbulence closure schemes continue to be work-horse models for weather and climate simulations. Atmospheric boundary layer The turbulent Prandtl number, which represents the dissimilarity between turbulent transport of momentum and Cospectral budget model heat, is a key parameter in such schemes. This paper reviews recent advances in our understanding and modeling Thermal stratification of the turbulent Prandtl number in high-Reynolds number and thermally stratified atmospheric boundary layer Turbulent Prandtl number (ABL) flows. Multiple lines of evidence suggest that there are strong linkages between the mean flowproperties such as the turbulent Prandtl number in the atmospheric surface layer (ASL) and the energy spectra in the inertial subrange governed by the Kolmogorov theory. Such linkages are formalized by a recently developed cospectral budget model, which provides a unifying framework for the turbulent Prandtl number in the ASL. The model demonstrates that the stability-dependence of the turbulent Prandtl number can be essentially captured with only two phenomenological constants. The model further explains the stability- and scale-dependences -
A Two-Layer Turbulence Model for Simulating Indoor Airflow Part I
Energy and Buildings 33 +2001) 613±625 A two-layer turbulence model for simulating indoor air¯ow Part I. Model development Weiran Xu, Qingyan Chen* Department of Architecture, Massachusetts Institute of Technology, 77 Massachusetts Avenue, MA 02139, USA Received 2 August 2000; accepted 7 October 2000 Abstract Energy ef®cient buildings should provide a thermally comfortable and healthy indoor environment. Most indoor air¯ows involve combined forced and natural convection +mixed convection). In order to simulate the ¯ows accurately and ef®ciently, this paper proposes a two-layer turbulence model for predicting forced, natural and mixed convection. The model combines a near-wall one-equation model [J. Fluid Eng. 115 +1993) 196] and a near-wall natural convection model [Int. J. Heat Mass Transfer 41 +1998) 3161] with the aid of direct numerical simulation +DNS) data [Int. J. Heat Fluid Flow 18 +1997) 88]. # 2001 Published by Elsevier Science B.V. Keywords: Two-layer turbulence model; Low-Reynolds-number +LRN); k±e Model +KEM) 1. Introduction This paper presents a new two-layer turbulence model that performs two tasks: 1.1. Objectives 1. It can accurately predict flows under various conditions, i.e. from purely forced to purely natural convection. This Energy ef®cient buildings should provide a thermally model allows building ventilation designers to use one comfortable and healthy indoor environment. The comfort single model to calculate flows instead of selecting and health parameters in indoor environment include the different turbulence models empirically from many distributions of velocity, air temperature, relative humidity, available models. and contaminant concentrations. These parameters can be 2. -
Chapter 5 Dimensional Analysis and Similarity
Chapter 5 Dimensional Analysis and Similarity Motivation. In this chapter we discuss the planning, presentation, and interpretation of experimental data. We shall try to convince you that such data are best presented in dimensionless form. Experiments which might result in tables of output, or even mul- tiple volumes of tables, might be reduced to a single set of curves—or even a single curve—when suitably nondimensionalized. The technique for doing this is dimensional analysis. Chapter 3 presented gross control-volume balances of mass, momentum, and en- ergy which led to estimates of global parameters: mass flow, force, torque, total heat transfer. Chapter 4 presented infinitesimal balances which led to the basic partial dif- ferential equations of fluid flow and some particular solutions. These two chapters cov- ered analytical techniques, which are limited to fairly simple geometries and well- defined boundary conditions. Probably one-third of fluid-flow problems can be attacked in this analytical or theoretical manner. The other two-thirds of all fluid problems are too complex, both geometrically and physically, to be solved analytically. They must be tested by experiment. Their behav- ior is reported as experimental data. Such data are much more useful if they are ex- pressed in compact, economic form. Graphs are especially useful, since tabulated data cannot be absorbed, nor can the trends and rates of change be observed, by most en- gineering eyes. These are the motivations for dimensional analysis. The technique is traditional in fluid mechanics and is useful in all engineering and physical sciences, with notable uses also seen in the biological and social sciences. -
Chemically Reactive MHD Micropolar Nanofluid Flow with Velocity Slips
www.nature.com/scientificreports OPEN Chemically reactive MHD micropolar nanofuid fow with velocity slips and variable heat source/sink Abdullah Dawar1, Zahir Shah 2,3*, Poom Kumam 4,5*, Hussam Alrabaiah 6,7, Waris Khan 8, Saeed Islam1,9,10 & Nusrat Shaheen11 The two-dimensional electrically conducting magnetohydrodynamic fow of micropolar nanofuid over an extending surface with chemical reaction and secondary slips conditions is deliberated in this article. The fow of nanofuid is treated with heat source/sink and nonlinear thermal radiation impacts. The system of equations is solved analytically and numerically. Both analytical and numerical approaches are compared with the help of fgures and tables. In order to improve the validity of the solutions and the method convergence, a descriptive demonstration of residual errors for various factors is presented. Also the convergence of an analytical approach is shown. The impacts of relevance parameters on velocity, micro-rotation, thermal, and concentration felds for frst- and second-order velocity slips are accessible through fgures. The velocity feld heightens with the rise in micropolar, micro-rotation, and primary order velocity parameters, while other parameters have reducing impact on the velocity feld. The micro-rotation feld reduces with micro-rotation, secondary order velocity slip, and micropolar parameters but escalates with the primary order velocity slip parameter. The thermal feld heightens with escalating non-uniform heat sink/source, Biot number, temperature ratio factor, and thermal radiation factor. The concentration feld escalates with the increasing Biot number, while reduces with heightening chemical reaction and Schmidt number. The assessment of skin factor, thermal transfer, and mass transfer are calculated through tables. -
Turbulent Prandtl Number and Its Use in Prediction of Heat Transfer Coefficient for Liquids
Nahrain University, College of Engineering Journal (NUCEJ) Vol.10, No.1, 2007 pp.53-64 Basim O. Hasan Chemistry. Engineering Dept.- Nahrain University Turbulent Prandtl Number and its Use in Prediction of Heat Transfer Coefficient for Liquids Basim O. Hasan, Ph.D Abstract: eddy conductivity is unspecified in the case of heat transfer. The classical approach for obtaining the A theoretical study is performed to determine the transport mechanism for the heat transfer problem turbulent Prandtl number (Prt ) for liquids of wide follows the laminar approach, namely, the momentum range of molecular Prandtl number (Pr=1 to 600) and thermal transport mechanisms are related by a under turbulent flow conditions of Reynolds number factor, the Prandtl number, hence combining the range 10000- 100000 by analysis of experimental molecular and eddy viscosities one obtain the momentum and heat transfer data of other authors. A Boussinesq relation for shear stress: semi empirical correlation for Prt is obtained and employed to predict the heat transfer coefficient for du the investigated range of Re and molecular Prandtl ( ) 1 number (Pr). Also an expression for momentum eddy m dy diffusivity is developed. The results revealed that the Prt is less than 0.7 and is function of both Re and Pr according to the following relation: and the analogous relation for heat flux: Prt=6.374Re-0.238 Pr-0.161 q dT The capability of many previously proposed models of ( h ) 2 Prt in predicting the heat transfer coefficient is c p dy examined. Cebeci [1973] model is found to give good The turbulent Prandtl number is the ratio between the accuracy when used with the momentum eddy momentum and thermal eddy diffusivities, i.e., Prt= m/ diffusivity developed in the present analysis. -
Strongly-Coupled Conjugate Heat Transfer Investigation of Internal Cooling of Turbine Blades Using the Immersed Boundary Method
Strongly-Coupled Conjugate Heat Transfer Investigation of Internal Cooling of Turbine Blades using the Immersed Boundary Method Tae Kyung Oh Thesis submitted to the faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Master of Science In Mechanical Engineering Danesh K. Tafti – Chair Roop L. Mahajan Wing F. Ng May 13th 2019 Blacksburg, Virginia, USA Keywords: Conjugate heat transfer, immersed boundary method, internal cooling, fully developed assumption Strongly-Coupled Conjugate Heat Transfer Investigation of Internal Cooling of Turbine Blades using the Immersed Boundary Method Tae Kyung Oh ABSTRACT The present thesis focuses on evaluating a conjugate heat transfer (CHT) simulation in a ribbed cooling passage with a fully developed flow assumption using LES with the immersed boundary method (IBM-LES-CHT). The IBM with the LES model (IBM-LES) and the IBM with CHT boundary condition (IBM-CHT) frameworks are validated prior to the main simulations by simulating purely convective heat transfer (iso-flux) in the ribbed duct, and a developing laminar boundary layer flow over a two dimensional flat plate with heat conduction, respectively. For the main conjugate simulations, a ribbed duct geometry with a blockage ratio of 0.3 is simulated at a bulk Reynolds number of 10,000 with a conjugate boundary condition applied to the rib surface. The nominal Biot number is kept at 1, which is similar to the comparative experiment. As a means to overcome a large time scale disparity between the fluid and the solid regions, the use of a high artificial solid thermal diffusivity is compared to the physical diffusivity.