The Properties of Helium: Density, Specific Heats, Viscosity, and Thermal Conductivity at Pressures from 1 to 100 Bar and from Room Temperature to About 1800 K
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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. -
Solutes and Solution
Solutes and Solution The first rule of solubility is “likes dissolve likes” Polar or ionic substances are soluble in polar solvents Non-polar substances are soluble in non- polar solvents Solutes and Solution There must be a reason why a substance is soluble in a solvent: either the solution process lowers the overall enthalpy of the system (Hrxn < 0) Or the solution process increases the overall entropy of the system (Srxn > 0) Entropy is a measure of the amount of disorder in a system—entropy must increase for any spontaneous change 1 Solutes and Solution The forces that drive the dissolution of a solute usually involve both enthalpy and entropy terms Hsoln < 0 for most species The creation of a solution takes a more ordered system (solid phase or pure liquid phase) and makes more disordered system (solute molecules are more randomly distributed throughout the solution) Saturation and Equilibrium If we have enough solute available, a solution can become saturated—the point when no more solute may be accepted into the solvent Saturation indicates an equilibrium between the pure solute and solvent and the solution solute + solvent solution KC 2 Saturation and Equilibrium solute + solvent solution KC The magnitude of KC indicates how soluble a solute is in that particular solvent If KC is large, the solute is very soluble If KC is small, the solute is only slightly soluble Saturation and Equilibrium Examples: + - NaCl(s) + H2O(l) Na (aq) + Cl (aq) KC = 37.3 A saturated solution of NaCl has a [Na+] = 6.11 M and [Cl-] = -
Effect of Glass Transition: Density and Thermal Conductivity Measurements of B2O3
High Temperatures-High Pressures, Vol. 49, pp. 125–142 ©2020 Old City Publishing, Inc. Reprints available directly from the publisher Published by license under the OCP Science imprint, Photocopying permitted by license only a member of the Old City Publishing Group DOI: 10.32908/hthp.v49.801 Effect of glass transition: density and thermal conductivity measurements of B2O3 DMITRY CHEBYKIN1*, HANS-PETER HELLER1, IVAN SAENKO2, GERT BARTZSCH1, RIE ENDO3 AND OLENA VOLKOVA1 1Institute of Iron and Steel Technology, TU Bergakademie Freiberg, Leipziger Straße 34, 09599 Freiberg, Germany 2Institute of Materials Science, TU Bergakademie Freiberg, Gustav-Zeuner-Straße 5, 09599 Freiberg, Germany 3Department of Materials Science and Engineering, Tokyo Institute of Technology, 152–8552 Tokyo, Japan Received: May 28, 2019; Accepted: October 11, 2019. The role of B2O3 as a fluxing agent for developing fluoride free fluxes has been accentuated in the recent years. Therefore, knowledge about thermo- physical properties of the oxide are essential to find the optimal chemical composition of the mold fluxes. In the present study, the density and ther- mal conductivity of B2O3 were measured by means of the buoyancy method, the maximal bubble pressure (MBP) method and the hot-wire method in the temperature range of 295–1573 K. The results are discussed in the context of the chemical stability of the B2O3 as well as the effect of glass transition on the thermal conductivity. The density of the B2O3 decreases non-linearly with increasing temperature in the temperature range of 973–1573 K. The MBP method was successfully applied for the density measurements with a viscosity up to 91 Pa.s. -
R09 SI: Thermal Properties of Foods
Related Commercial Resources CHAPTER 9 THERMAL PROPERTIES OF FOODS Thermal Properties of Food Constituents ................................. 9.1 Enthalpy .................................................................................... 9.7 Thermal Properties of Foods ..................................................... 9.1 Thermal Conductivity ................................................................ 9.9 Water Content ........................................................................... 9.2 Thermal Diffusivity .................................................................. 9.17 Initial Freezing Point ................................................................. 9.2 Heat of Respiration ................................................................. 9.18 Ice Fraction ............................................................................... 9.2 Transpiration of Fresh Fruits and Vegetables ......................... 9.19 Density ...................................................................................... 9.6 Surface Heat Transfer Coefficient ........................................... 9.25 Specific Heat ............................................................................. 9.6 Symbols ................................................................................... 9.28 HERMAL properties of foods and beverages must be known rizes prediction methods for estimating these thermophysical proper- Tto perform the various heat transfer calculations involved in de- ties and includes examples on the -
THERMAL CONDUCTIVITY of CONTINUOUS CARBON FIBRE REINFORCED COPPER MATRIX COMPOSITES J.Koráb1, P.Šebo1, P.Štefánik 1, S.Kavecký 1 and G.Korb 2
1. THERMAL CONDUCTIVITY OF CONTINUOUS CARBON FIBRE REINFORCED COPPER MATRIX COMPOSITES J.Koráb1, P.Šebo1, P.Štefánik 1, S.Kavecký 1 and G.Korb 2 1 Institute of Materials and Machine Mechanics of the Slovak Academy of Sciences, Racianska 75, 836 06 Bratislava, Slovak Republic 2 Austrian Research Centre Seibersdorf, A-2444 Seibersdorf, Austria SUMMARY: The paper deals with thermal conductivity of the continuous carbon fibre reinforced - copper matrix composite that can be applied in the field of electric and electronic industry as a heat sink material. The copper matrix - carbon fibre composite with different fibre orientation and fibre content was produced by diffusion bonding of copper-coated carbon fibres. Laser flash technique was used for thermal conductivity characterisation in direction parallel and transverse to fibre orientation. The results revealed decreasing thermal conductivity as the volume content of fibre increased and independence of through thickness conductivity on fibre orientation. Achieved results were compared with the materials that are currently used as heat sinks and possibility of the copper- based composite application was analysed. KEYWORDS: thermal conductivity, copper matrix, carbon fibre, metal matrix composite, heat sink, thermal management, heat dissipation INTRODUCTION Carbon fibre reinforced - copper matrix composite (Cu-Cf MMC) offer thermomechanical properties (TMP) which are now required in electronic and electric industry. Their advantages are low density, very good thermal conductivity and tailorable coefficient of thermal expansion (CTE). These properties are important in the applications where especially thermal conductivity plays large role to solve the problems of heat dissipation due to the usage of increasingly powerful electronic components. In devices, where high density mounting technology is applied thermal management is crucial for the reliability and long life performance. -
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 -
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. -
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. -
Anomalous Viscosity, Resistivity, and Thermal Diffusivity of the Solar
Anomalous Viscosity, Resistivity, and Thermal Diffusivity of the Solar Wind Plasma Mahendra K. Verma Department of Physics, Indian Institute of Technology, Kanpur 208016, India November 12, 2018 Abstract In this paper we have estimated typical anomalous viscosity, re- sistivity, and thermal difffusivity of the solar wind plasma. Since the solar wind is collsionless plasma, we have assumed that the dissipation in the solar wind occurs at proton gyro radius through wave-particle interactions. Using this dissipation length-scale and the dissipation rates calculated using MHD turbulence phenomenology [Verma et al., 1995a], we estimate the viscosity and proton thermal diffusivity. The resistivity and electron’s thermal diffusivity have also been estimated. We find that all our transport quantities are several orders of mag- nitude higher than those calculated earlier using classical transport theories of Braginskii. In this paper we have also estimated the eddy turbulent viscosity. arXiv:chao-dyn/9509002v1 5 Sep 1995 1 1 Introduction The solar wind is a collisionless plasma; the distance travelled by protons between two consecutive Coulomb collisions is approximately 3 AU [Barnes, 1979]. Therefore, the dissipation in the solar wind involves wave-particle interactions rather than particle-particle collisions. For the observational evidence of the wave-particle interactions in the solar wind refer to the review articles by Gurnett [1991], Marsch [1991] and references therein. Due to these reasons for the calculations of transport coefficients in the solar wind, the scales of wave-particle interactions appear more appropriate than those of particle-particle interactions [Braginskii, 1965]. Note that the viscosity in a turbulent fluid is scale dependent. -
Prandtl Number and Thermoacoustic Refrigerators M
Prandtl number and thermoacoustic refrigerators M. E. H. Tijani, J. C. H. Zeegers, and A. T. A. M. de Waele Department of Applied Physics, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands ͑Received 28 November 2001; revised 25 April 2002; accepted 4 May 2002͒ From kinetic gas theory, it is known that the Prandtl number for hard-sphere monatomic gases is 2/3. Lower values can be realized using gas mixtures of heavy and light monatomic gases. Prandtl numbers varying between 0.2 and 0.67 are obtained by using gas mixtures of helium–argon, helium–krypton, and helium–xenon. This paper presents the results of an experimental investigation into the effect of Prandtl number on the performance of a thermoacoustic refrigerator using gas mixtures. The measurements show that the performance of the refrigerator improves as the Prandtl number decreases. The lowest Prandtl number of 0.2, obtained with a mixture containing 30% xenon, leads to a coefficient of performance relative to Carnot which is 70% higher than with pure helium. © 2002 Acoustical Society of America. ͓DOI: 10.1121/1.1489451͔ PACS numbers: 43.35.Ud, 43.35.Ty ͓RR͔ I. INTRODUCTION while compressing and expanding. The interaction of the moving gas in the stack with the stack surface generates heat The basic understanding of the physical principles un- transport.2 A detailed description of the refrigerator can be derlying the thermoacoustic effect is well established and has found in the literature.3,6 been discussed in many papers.1,2 However, a quantitative experimental investigation of the effect of some important parameters on the behavior of the thermoacoustic devices is II. -
Numerical Calculations of Two-Dimensional Large Prandtl Number Convection in a Box
J. Fluid Mech. (2013), vol. 729, pp. 584–602. c Cambridge University Press 2013 584 doi:10.1017/jfm.2013.330 Numerical calculations of two-dimensional large Prandtl number convection in a box J. A. Whitehead1,†, A. Cotel2, S. Hart3, C. Lithgow-Bertelloni4 and W. Newsome5 1Physical Oceanography Department, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA 2Civil and Environmental Engineering Department, University of Michigan, 1351 Beal Avenue, Ann Arbor, MI 48109, USA 3Geology and Geophysics Department, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA 4Department of Earth Sciences, University College London, Gower Street, London WC1E 6BT, UK 5Geological Sciences Department, University of Michigan, 1100 North University Avenue, Ann Arbor, MI 48109, USA (Received 30 August 2012; revised 17 June 2013; accepted 22 June 2013; first published online 24 July 2013) Convection from an isolated heat source in a chamber has been previously studied numerically, experimentally and analytically. These have not covered long time spans for wide ranges of Rayleigh number Ra and Prandtl number Pr. Numerical calculations of constant viscosity convection partially fill the gap in the ranges Ra 103–106 and Pr 1; 10; 100; 1000 and . Calculations begin with cold fluid everywhereD and localizedD hot temperature at1 the centre of the bottom of a square two-dimensional chamber. For Ra > 20 000, temperature increases above the hot bottom and forms a rising plume head. The head has small internal recirculation and minor outward conduction of heat during ascent. The head approaches the top, flattens, splits and the two remnants are swept to the sidewalls and diffused away. -
Ideal Gas Law PV = Nrt R = Universal Gas Constant R = 0.08206 L-Atm R = 8.314 J Mol-K Mol-K Example
Ideal gas law PV = nRT R = universal gas constant R = 0.08206 L-atm R = 8.314 J mol-K mol-K Example: In the reaction of oxygen with carbon to produce carbon dioxide, how many liters of oxygen at 747 mm Hg and 21.0 °C are needed to react with 24.022 g of carbon? CHEM 102 Winter 2011 Practice: In the reaction of oxygen and hydrogen to make water, how many liters of hydrogen at exactly 0 °C and 1 atm are needed to react with 10.0 g of oxygen? 2 CHEM 102 Winter 2011 Combined gas law V decreases with pressure (V α 1/P). V increases with temperature (V α T). V increases with particles (V α n). Combining these ideas: V α n x T P For a given amount of gas (constant number of particles, ninitial = nafter) that changes in volume, temperature, or pressure: Vinitial α ninitial x Tinitial Pinitial Vafter α nafter x Tafter Pafter ninitial = n after Vinitial x Pinitial = Vafter x Pafter Tinitial Tafter 3 CHEM 102 Winter 2011 Example: A sample of gas is pressurized to 1.80 atm and volume of 90.0 cm3. What volume would the gas have if it were pressurized to 4.00 atm without a change in temperature? 4 CHEM 102 Winter 2011 Example: A 2547-mL sample of gas is at 421 °C. What is the new gas temperature if the gas is cooled at constant pressure until it has a volume of 1616 mL? 5 CHEM 102 Winter 2011 Practice: A balloon is filled with helium.