Convection Heat Transfer Introduction
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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. -
Heat Transfer Model of a Rotary Compressor S
Purdue University Purdue e-Pubs International Compressor Engineering Conference School of Mechanical Engineering 1992 Heat Transfer Model of a Rotary Compressor S. K. Padhy General Electric Company Follow this and additional works at: https://docs.lib.purdue.edu/icec Padhy, S. K., "Heat Transfer Model of a Rotary Compressor" (1992). International Compressor Engineering Conference. Paper 935. https://docs.lib.purdue.edu/icec/935 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. Complete proceedings may be acquired in print and on CD-ROM directly from the Ray W. Herrick Laboratories at https://engineering.purdue.edu/ Herrick/Events/orderlit.html HEAT TRANSFER MODEL OF A ROTARY COMPRESSOR Sisir K. Padhy General Electric C_ompany Appliance Park 5-2North, Louisville, KY 40225 ABSTRACT Energy improvements for a rotary compressor can be achieved in several ways such as: reduction of various electrical and mechanical losses, reduction of gas leakage, better lubrication, better surface cooling, reduction of suction gas heating and by improving other parameters. To have a ' better understanding analytical/numerical analysis is needed. Although various mechanical models are presented to understand the mechanical losses, dynamics, thermodynamics etc.; little work has been done to understand the compressor from a heat uansfer stand point In this paper a lumped heat transfer model for the rotary compressor is described. Various heat sources and heat sinks are analyzed and the temperature profile of the compressor is generated. A good agreement is found between theoretical and experimental results. NOMENCLATURE D, inner diameter D. -
Investigation of Compressor Heat Dispersion Model Da Shi Shanghai Hitachi Electronic Appliances, China, People's Republic Of, [email protected]
Purdue University Purdue e-Pubs International Compressor Engineering Conference School of Mechanical Engineering 2014 Investigation Of Compressor Heat Dispersion Model Da Shi Shanghai Hitachi Electronic Appliances, China, People's Republic of, [email protected] Hong Tao Shanghai Hitachi Electronic Appliances, China, People's Republic of, [email protected] Min Yang Shanghai Hitachi Electronic Appliances, China, People's Republic of, [email protected] Follow this and additional works at: https://docs.lib.purdue.edu/icec Shi, Da; Tao, Hong; and Yang, Min, "Investigation Of Compressor Heat Dispersion Model" (2014). International Compressor Engineering Conference. Paper 2314. https://docs.lib.purdue.edu/icec/2314 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. Complete proceedings may be acquired in print and on CD-ROM directly from the Ray W. Herrick Laboratories at https://engineering.purdue.edu/ Herrick/Events/orderlit.html 1336, Page 1 Investigation of Rotary Compressor Heat Dissipation Model Da SHI 1, Hong TAO2, Min YANG 3* 1SHEC, R&D Centre, Shanghai, China Contact Information (+8621-13564483789, [email protected]) 2SHEC, R&D Centre, Shanghai, China Contact Information (+8621-13501728323,[email protected]) 3SHEC, R&D Centre, Shanghai, China Contact Information (+8621-15900963244, [email protected]) * Corresponding Author ABSTRACT This paper presented a model of rotary compressor heat dissipation, which can be used to calculate heat dissipation under forced-convective/natural-convective and heat radiation mode respectively. The comparison, between calculated and experimental result for both constant speed compressor and variable speed one, shows that the average heat dissipation error is below 20% and discharge temperature deflection is less than 4 ℃。 1. -
Convective Heat Transfer Coefficient for Indoor Forced Convection Drying of Corn Kernels
Int. J. Mech. Eng. & Rob. Res. 2013 Ravinder Kumar Sahdev et al., 2013 ISSN 2278 – 0149 www.ijmerr.com Vol. 2, No. 4, October 2013 © 2013 IJMERR. All Rights Reserved Research Paper CONVECTIVE HEAT TRANSFER COEFFICIENT FOR INDOOR FORCED CONVECTION DRYING OF CORN KERNELS Ravinder Kumar Sahdev1*, Chinu Rathi Saroha1 and Mahesh Kumar2 *Corresponding Author: Ravinder Kumar Sahdev, [email protected] In this present research paper, an attempt has been made to determine the convective heat transfer coefficient of corn kernels under indoor forced convection drying mode. The experiments were conducted in the month of May 2013 in the climatic conditions of Rohtak (28° 40': 29 05'N 76° 13': 76° 51'E). Corn kernels were dried from initial moisture content 43% dry-basis. Experimental data was used to evaluate the values of constants (C and n) in Nusselt number expression by using linear regression analysis and consequently convective heat transfer coefficient was determined. The convective heat transfer coefficient for corn kernels was found to be 1.04 W/m2 °C. The experimental error in terms of percent uncertainty has also been calculated. Keywords: Corn kernels, Convective heat transfer coefficient, Indoor forced convection drying INTRODUCTION the interior of the corn kernels takes place due Corn is one of the main agricultural products to induced vapor pressure difference between in many countries. It is an important industrial the corn kernels and surrounding medium. raw material in the starch industry (Haros and The convective heat transfer coefficient is Surez, 1997; and Soponronnarit et al., 1997a). an important parameter in drying rate It is also a grain that can be eaten raw off the simulation since the temperature difference cob. -
Heat Transfer in Flat-Plate Solar Air-Heating Collectors
Advanced Computational Methods in Heat Transfer VI, C.A. Brebbia & B. Sunden (Editors) © 2000 WIT Press, www.witpress.com, ISBN 1-85312-818-X Heat transfer in flat-plate solar air-heating collectors Y. Nassar & E. Sergievsky Abstract All energy systems involve processes of heat transfer. Solar energy is obviously a field where heat transfer plays crucial role. Solar collector represents a heat exchanger, in which receive solar radiation, transform it to heat and transfer this heat to the working fluid in the collector's channel The radiation and convection heat transfer processes inside the collectors depend on the temperatures of the collector components and on the hydrodynamic characteristics of the working fluid. Economically, solar energy systems are at best marginal in most cases. In order to realize the potential of solar energy, a combination of better design and performance and of environmental considerations would be necessary. This paper describes the thermal behavior of several types of flat-plate solar air-heating collectors. 1 Introduction Nowadays the problem of utilization of solar energy is very important. By economic estimations, for the regions of annual incident solar radiation not less than 4300 MJ/m^ pear a year (i.e. lower 60 latitude), it will be possible to cover - by using an effective flat-plate solar collector- up to 25% energy demand in hot water supply systems and up to 75% in space heating systems. Solar collector is the main element of any thermal solar system. Besides of large number of scientific publications, on the problem of solar energy utilization, for today there is no common satisfactory technique to evaluate the thermal behaviors of solar systems, especially the local characteristics of the solar collector. -
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. -
Heat Transfer (Heat and Thermodynamics)
Heat Transfer (Heat and Thermodynamics) Wasif Zia, Sohaib Shamim and Muhammad Sabieh Anwar LUMS School of Science and Engineering August 7, 2011 If you put one end of a spoon on the stove and wait for a while, your nger tips start feeling the burn. So how do you explain this simple observation in terms of physics? Heat is generally considered to be thermal energy in transit, owing between two objects that are kept at di erent temperatures. Thermodynamics is mainly con- cerned with objects in a state of equilibrium, while the subject of heat transfer probes matter in a state of disequilibrium. Heat transfer is a beautiful and astound- ingly rich subject. For example, heat transfer is inextricably linked with atomic and molecular vibrations; marrying thermal physics with solid state physics|the study of the structure of matter. We all know that owing matter (such as air) in contact with a heated object can help `carry the heat away'. The motion of the uid, its turbulence, the ow pattern and the shape, size and surface of the object can have a pronounced e ect on how heat is transferred. These heat ow mechanisms are also an essential part of our ventilation and air conditioning mechanisms, adding comfort to our lives. Importantly, without heat exchange in power plants it is impossible to think of any power generation, without heat transfer the internal combustion engine could not drive our automobiles and without it, we would not be able to use our computer for long and do lengthy experiments (like this one!), without overheating and frying our electronics. -
(CFD) Modelling and Application for Sterilization of Foods: a Review
processes Review Computational Fluid Dynamics (CFD) Modelling and Application for Sterilization of Foods: A Review Hyeon Woo Park and Won Byong Yoon * ID Department of Food Science and Biotechnology, College of Agricultural and Life Science, Kangwon National University, Chuncheon 24341, Korea; [email protected] * Correspondence: [email protected]; Tel.: +82-33-250-6459 Received: 30 March 2018; Accepted: 23 May 2018; Published: 24 May 2018 Abstract: Computational fluid dynamics (CFD) is a powerful tool to model fluid flow motions for momentum, mass and energy transfer. CFD has been widely used to simulate the flow pattern and temperature distribution during the thermal processing of foods. This paper discusses the background of the thermal processing of food, and the fundamentals in developing CFD models. The constitution of simulation models is provided to enable the design of effective and efficient CFD modeling. An overview of the current CFD modeling studies of thermal processing in solid, liquid, and liquid-solid mixtures is also provided. Some limitations and unrealistic assumptions faced by CFD modelers are also discussed. Keywords: computational fluid dynamics; CFD; thermal processing; sterilization; computer simulation 1. Introduction In the food industry, thermal processing, including sterilization and pasteurization, is defined as the process by which there is the application of heat to a food product in a container, in an effort to guarantee food safety, and extend the shelf-life of processed foods [1]. Thermal processing is the most widely used preservation technology to safely produce long shelf-lives in many kinds of food, such as fruits, vegetables, milk, fish, meat and poultry, which would otherwise be quite perishable. -
Recent Developments in Heat Transfer Fluids Used for Solar
enewa f R bl o e ls E a n t e n r e g Journal of y m a a n d d n u A Srivastva et al., J Fundam Renewable Energy Appl 2015, 5:6 F p f p Fundamentals of Renewable Energy o l i l ISSN: 2090-4541c a a n t r i DOI: 10.4172/2090-4541.1000189 o u n o s J and Applications Review Article Open Access Recent Developments in Heat Transfer Fluids Used for Solar Thermal Energy Applications Umish Srivastva1*, RK Malhotra2 and SC Kaushik3 1Indian Oil Corporation Limited, RandD Centre, Faridabad, Haryana, India 2MREI, Faridabad, Haryana, India 3Indian Institute of Technology Delhi, New Delhi, India Abstract Solar thermal collectors are emerging as a prime mode of harnessing the solar radiations for generation of alternate energy. Heat transfer fluids (HTFs) are employed for transferring and utilizing the solar heat collected via solar thermal energy collectors. Solar thermal collectors are commonly categorized into low temperature collectors, medium temperature collectors and high temperature collectors. Low temperature solar collectors use phase changing refrigerants and water as heat transfer fluids. Degrading water quality in certain geographic locations and high freezing point is hampering its suitability and hence use of water-glycol mixtures as well as water-based nano fluids are gaining momentum in low temperature solar collector applications. Hydrocarbons like propane, pentane and butane are also used as refrigerants in many cases. HTFs used in medium temperature solar collectors include water, water- glycol mixtures – the emerging “green glycol” i.e., trimethylene glycol and also a whole range of naturally occurring hydrocarbon oils in various compositions such as aromatic oils, naphthenic oils and paraffinic oils in their increasing order of operating temperatures. -
Archives of Thermodynamics
POLISH ACADEMY OF SCIENCES THERMODYNAMICS AND COMBUSTION COMMITTEE archives of thermodynamics QUARTERLY Vol. 38 2017 Wydawnictwo IMP No. 3 Gdańsk Editorial Office Archives of Thermodynamics The Szewalski Institute of Fluid Flow Machinery, Fiszera 14, 80-231 Gdańsk, Poland, Tel.: (+48) 58-341-12-71 int. 141, E-mail: [email protected] http://www.imp.gda.pl/archives-of-thermodynamics/ http://at.czasopisma.pan.pl/ © by the Polish Academy of Science Publication funding of this journal is provided by resources of the Polish Academy of Sciences and the Szewalski Institute of Fluid-Flow Machinery PASci Terms of subscription outside Poland Annual subscription rate outside Poland (2017) is 120 EUR. Price of single issue is 30 EUR. Back of previously published volumes are available on request. Subscription orders should be sent directly to IMP PAN Publishers, The Szewalski Institute of Fluid-Flow Machinery PASci, ul. Fiszera 14, 80-231 Gdansk, Poland; fax: (+48) 58-341-61-44; e-mail: [email protected]. Payments should be transferred to the bank account of IMP PAN: IBAN 28 1130 1121 0006 5498 9520 0011 at Bank Gospo- darstwa Krajowego; Code SWIFT: GOSKPLPW Warunki prenumeraty w Polsce Roczna prenumerata (2017 r.) wynosi 168 PLN. Cena pojedynczego numeru wynosi 42 PLN. Osiągalne są również wydania archiwalne. Zamówienia z określeniem okresu prenumeraty, nazwiskiem i adresem odbiorcy należy kierować bezpośrednio do Wydawcy (Instytut Maszyn Przepływowych im. R. Szewalskiego PAN, ul. Fiszera 14, 80-231 Gdańsk, Aleksandra Nowaczewska, e-mail: [email protected]).