Entrance Length Effects on Graetz Number Scaling in Laminar Duct
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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. -
Static Mixing Spacers for Spiral Wound Modules
Desalination and Water Purification Research and Development Program Report No. 161 Static Mixing Spacers for Spiral Wound Modules U.S. Department of the Interior Bureau of Reclamation Technical Service Center Denver, Colorado November 2012 Form Approved REPORT DOCUMENTATION PAGE OMB No. 0704-0188 The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. 1. REPORT DATE (DD-MM-YYYY) 2. REPORT TYPE 3. DATES COVERED (From - To) November 2012 Final 2010-2012 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Static Mixing Spacers for Spiral Wound Modules Agreement No.R10AP81213 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER Glenn Lipscomb 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT NUMBER Chemical Engineering Task Identification Number University of Toledo Task IV: Expanding Scientific 3048 Nitschke Hall (MS 305) Understanding of Desalination Processes 1610 N Westwood Ave Subtask: Increase of rates of mass transfer Toledo, OH 43607 to membrane or to heat transfer surfaces. -
Experimental Heat Transfer and Friction Factor of Fe3o4 Magnetic Nanofluids Flow in a Tube Under Laminar Flow at High Prandtl Numbers
International Journal of Heat and Technology Vol. 38, No. 2, June, 2020, pp. 301-313 Journal homepage: http://iieta.org/journals/ijht Experimental Heat Transfer and Friction Factor of Fe3O4 Magnetic Nanofluids Flow in a Tube under Laminar Flow at High Prandtl Numbers Lingala Syam Sundar1*, Hailu Misganaw Abebaw2, Manoj K. Singh3, António M.B. Pereira1, António C.M. Sousa1 1 Centre for Mechanical Technology and Automation (TEMA–UA), Department of Mechanical Engineering, University of Aveiro, Aveiro 3810-131, Portugal 2 Department of Mechanical Engineering, University of Gondar, Gondar, Ethiopia 3 Department of Physics – School of Engineering and Technology (SOET), Central University of Haryana, Haryana 123031, India Corresponding Author Email: [email protected] https://doi.org/10.18280/ijht.380204 ABSTRACT Received: 15 February 2020 The work is focused on the estimation of convective heat transfer and friction factor of Accepted: 23 April 2020 vacuum pump oil/Fe3O4 magnetic nanofluids flow in a tube under laminar flow at high Prandtl numbers experimentally. The thermophysical properties also studied Keywords: experimentally at different particle concentrations and temperatures. The Fe3O4 heat transfer enhancement, friction factor, nanoparticles were synthesized using the chemical reaction method and characterized using laminar flow, high Prandtl number, magnetic X-ray powder diffraction (XRD) and vibrating sample magnetometer (VSM) techniques. nanofluid The experiments were conducted at mass flow rate from 0.04 kg/s to 0.208 kg/s, volume concentration from 0.05% to 0.5%, Prandtl numbers from 440 to 2534 and Graetz numbers from 500 to 3000. The results reveal that, the thermal conductivity and viscosity enhancements are 9% and 1.75-times for 0.5 vol. -
Exact Solution of Boundary Value Problem Describing the Convective Heat Transfer in Fully-Developed Laminar Flow Through a Circular Conduit
Songklanakarin J. Sci. Technol. 40 (4), 840-853, Jul - Aug. 2018 Original Article Exact solution of boundary value problem describing the convective heat transfer in fully-developed laminar flow through a circular conduit Ali Belhocine1* and Wan Zaidi Wan Omar2 1Faculty of Mechanical Engineering, University of Sciences and the Technology of Oran, L. P. 1505 El – Mnaouer, Oran, 31000 Algeria 2Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, UTM Skudai, Johor, 81310 Malaysia Received: 17 September 2016; Revised: 2 March 2017; Accepted: 8 May 2017 Abstract This paper proposes anexact solution in terms of an infinite series to the classical Graetz problem represented by a nonlinear partial differential equation considering two space variables, two boundary conditions and one initial condition. The mathematical derivation is based on the method of separation of variables whose several stages are elaborated to reach the solution of the Graetz problem. MATLAB was used to compute the eigenvalues of the differential equation as well as the coefficient series. However, both the Nusselt number as an infinite series solution and the Graetz number are based on the heat transfer coefficient and the heat flux from the wall to the fluid. In addition, the analytical solution was compared to the numerical values obtained by the same author using a FORTRAN program, showing that the orthogonal collocation method gave better results. It is important to note that the analytical solution is in good agreement with published numerical data. Keywords: -
Constant-Wall-Temperature Nusselt Number in Micro and Nano-Channels1
Constant-Wall-Temperature Nusselt Number in Micro and Nano-Channels1 We investigate the constant-wall-temperature convective heat-transfer characteristics of a model gaseous flow in two-dimensional micro and nano-channels under hydrodynamically Nicolas G. and thermally fully developed conditions. Our investigation covers both the slip-flow Hadjiconstantinou regime 0рKnр0.1, and most of the transition regime 0.1ϽKnр10, where Kn, the Knud- sen number, is defined as the ratio between the molecular mean free path and the channel Olga Simek height. We use slip-flow theory in the presence of axial heat conduction to calculate the Nusselt number in the range 0рKnр0.2, and a stochastic molecular simulation technique Mechanical Engineering Department, known as the direct simulation Monte Carlo (DSMC) to calculate the Nusselt number in Massachusetts Institute of Technology, the range 0.02ϽKnϽ2. Inclusion of the effects of axial heat conduction in the continuum Cambridge, MA 02139 model is necessary since small-scale internal flows are typically characterized by finite Peclet numbers. Our results show that the slip-flow prediction is in good agreement with the DSMC results for Knр0.1, but also remains a good approximation beyond its ex- pected range of applicability. We also show that the Nusselt number decreases monotoni- cally with increasing Knudsen number in the fully accommodating case, both in the slip-flow and transition regimes. In the slip-flow regime, axial heat conduction is found to increase the Nusselt number; this effect is largest at Knϭ0 and is of the order of 10 percent. Qualitatively similar results are obtained for slip-flow heat transfer in circular tubes. -
Heat Transfer Data
Appendix A HEAT TRANSFER DATA This appendix contains data for use with problems in the text. Data have been gathered from various primary sources and text compilations as listed in the references. Emphasis is on presentation of the data in a manner suitable for computerized database manipulation. Properties of solids at room temperature are provided in a common framework. Parameters can be compared directly. Upon entrance into a database program, data can be sorted, for example, by rank order of thermal conductivity. Gases, liquids, and liquid metals are treated in a common way. Attention is given to providing properties at common temperatures (although some materials are provided with more detail than others). In addition, where numbers are multiplied by a factor of a power of 10 for display (as with viscosity) that same power is used for all materials for ease of comparison. For gases, coefficients of expansion are taken as the reciprocal of absolute temper ature in degrees kelvin. For liquids, actual values are used. For liquid metals, the first temperature entry corresponds to the melting point. The reader should note that there can be considerable variation in properties for classes of materials, especially for commercial products that may vary in composition from vendor to vendor, and natural materials (e.g., soil) for which variation in composition is expected. In addition, the reader may note some variations in quoted properties of common materials in different compilations. Thus, at the time the reader enters into serious profes sional work, he or she may find it advantageous to verify that data used correspond to the specific materials being used and are up to date. -
Fluid Dynamics Analysis and Numerical Study of a Fluid Running Down a Flat Surface
29TH DAAAM INTERNATIONAL SYMPOSIUM ON INTELLIGENT MANUFACTURING AND AUTOMATION DOI: 10.2507/29th.daaam.proceedings.116 FLUID DYNAMICS ANALYSIS AND NUMERICAL STUDY OF A FLUID RUNNING DOWN A FLAT SURFACE Juan Carlos Beltrán-Prieto & Karel Kolomazník This Publication has to be referred as: Beltran-Prieto, J[uan] C[arlos] & Kolomaznik, K[arel] (2018). Fluid Dynamics Analysis and Numerical Study of a Fluid Running Down a Flat Surface, Proceedings of the 29th DAAAM International Symposium, pp.0801-0810, B. Katalinic (Ed.), Published by DAAAM International, ISBN 978-3-902734- 20-4, ISSN 1726-9679, Vienna, Austria DOI: 10.2507/29th.daaam.proceedings.116 Abstract The case of fluid flowing down a plate is applied in several industrial, chemical and engineering systems and equipments. The mathematical modeling and simulation of this type of system is important from the process engineering point of view because an adequate understanding is required to control important parameters like falling film thickness, mass rate flow, velocity distribution and even suitable fluid selection. In this paper we address the numerical simulation and mathematical modeling of this process. We derived equations that allow us to understand the correlation between different physical chemical properties of the fluid and the system namely fluid mass flow, dynamic viscosity, thermal conductivity and specific heat and studied their influence on thermal diffusivity, kinematic viscosity, Prandtl number, flow velocity, fluid thickness, Reynolds number, Nusselt number, and heat transfer coefficient using numerical simulation. The results of this research can be applied in computational fluid dynamics to easily identify the expected behavior of a fluid that is flowing down a flat plate to determine the velocity distribution and values range of specific dimensionless parameters and to help in the decision-making process of pumping systems design, fluid selection, drainage of liquids, transport of fluids, condensation and in gas absorption experiments. -
Forced Convection Heat Transfer Convection Is the Mechanism of Heat Transfer Through a Fluid in the Presence of Bulk Fluid Motion
Forced Convection Heat Transfer Convection is the mechanism of heat transfer through a fluid in the presence of bulk fluid motion. Convection is classified as natural (or free) and forced convection depending on how the fluid motion is initiated. In natural convection, any fluid motion is caused by natural means such as the buoyancy effect, i.e. the rise of warmer fluid and fall the cooler fluid. Whereas in forced convection, the fluid is forced to flow over a surface or in a tube by external means such as a pump or fan. Mechanism of Forced Convection Convection heat transfer is complicated since it involves fluid motion as well as heat conduction. The fluid motion enhances heat transfer (the higher the velocity the higher the heat transfer rate). The rate of convection heat transfer is expressed by Newton’s law of cooling: q hT T W / m 2 conv s Qconv hATs T W The convective heat transfer coefficient h strongly depends on the fluid properties and roughness of the solid surface, and the type of the fluid flow (laminar or turbulent). V∞ V∞ T∞ Zero velocity Qconv at the surface. Qcond Solid hot surface, Ts Fig. 1: Forced convection. It is assumed that the velocity of the fluid is zero at the wall, this assumption is called no‐ slip condition. As a result, the heat transfer from the solid surface to the fluid layer adjacent to the surface is by pure conduction, since the fluid is motionless. Thus, M. Bahrami ENSC 388 (F09) Forced Convection Heat Transfer 1 T T k fluid y qconv qcond k fluid y0 2 y h W / m .K y0 T T s qconv hTs T The convection heat transfer coefficient, in general, varies along the flow direction. -
5 Laminar Internal Flow
5 Laminar Internal Flow 5.1 Governing Equations These notes will cover the general topic of heat transfer to a laminar flow of fluid that is moving through an enclosed channel. This channel can take the form of a simple circular pipe, or more complicated geometries such as a rectangular duct or an annulus. It will be assumed that the flow has constant thermophysical properties (including density). We will ¯rst examine the case where the flow is fully developed. This condition implies that the flow and temperature ¯elds retain no history of the inlet of the pipe. In regard to momentum conservation, FDF corresponds to a velocity pro¯le that is independent of axial position x in the pipe. In the case of a circular pipe, u = u(r) where u is the axial component of velocity and r is the radial position. The momentum and continuity equations will show that there can only be an axial component to velocity (i.e., zero radial component), and that µ ¶ ³ r ´2 u(r) = 2u 1 ¡ (1) m R with the mean velocity given by Z Z 1 2 R um = u dA = u r dr (2) A A R 0 The mean velocity provides a characteristic velocity based on the mass flow rate; m_ = ½ um A (3) where A is the cross sectional area of the pipe. The thermally FDF condition implies that the dimensionless temperature pro¯le is independent of axial position. The dimensionless temperature T is de¯ned by T ¡ T T = s = func(r); TFDF (4) Tm ¡ Ts in which Ts is the surface temperature (which can be a function of position x) and Tm is the mean temper- ature, de¯ned by Z 1 Tm = u T dA (5) um A A This de¯nition is consistent with a global 1st law statement, in that m_ CP (Tm;2 ¡ Tm;1) = Q_ 1¡2 (6) with CP being the speci¯c heat of the fluid. -
Similitude of Forced Convection Heat Transfer of Dowtherm a and of Li2bef4 Molten Salt in Cylindrical Tubes
Similitude of forced convection heat transfer of Dowtherm A and of Li2BeF4 molten salt in cylindrical tubes By Dajie Sun A thesis submitted in partial satisfaction of the requirements for the degree of Master of Science in Nuclear Engineering in the Graduate Division of the University of California, Berkeley Committee in charge: Prof. Per Peterson, Chair Prof. Karl van Bibber Prof. Jasmina Vujic Summer 2017 The University of California Berkeley Department of Nuclear Engineering Content Symbols ......................................................................................................................................................................................... ii Abstract .......................................................................................................................................................................................... 1 Chapter 1 Introduction ............................................................................................................................................................. 1 Chapter 2 Description of Experiments ................................................................................................................................ 4 Chapter 3 Theoretical model for data reduction ............................................................................................................. 7 Chapter 4 Fitting Method ....................................................................................................................................................... -
Heat Transfer to Droplets in Developing Boundary Layers at Low Capillary Numbers
Heat Transfer to Droplets in Developing Boundary Layers at Low Capillary Numbers A THESIS SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY Everett A. Wenzel IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE Professor Francis A. Kulacki August, 2014 c Everett A. Wenzel 2014 ALL RIGHTS RESERVED Acknowledgements I would like to express my gratitude to Professor Frank Kulacki for providing me with the opportunity to pursue graduate education, for his continued support of my research interests, and for the guidance under which I have developed over the past two years. I am similarly grateful to Professor Sean Garrick for the generous use of his computational resources, and for the many hours of discussion that have been fundamental to my development as a computationalist. Professors Kulacki, Garrick, and Joseph Nichols have generously served on my committee, and I appreciate all of their time. Additional acknowledgement is due to the professors who have either provided me with assistantships, or have hosted me in their laboratories: Professors Van de Ven, Li, Heberlein, Nagasaki, and Ito. I would finally like to thank my family and friends for their encouragement. This work was supported in part by the University of Minnesota Supercom- puting Institute. i Abstract This thesis describes the heating rate of a small liquid droplet in a develop- ing boundary layer wherein the boundary layer thickness scales with the droplet radius. Surface tension modifies the nature of thermal and hydrodynamic bound- ary layer development, and consequently the droplet heating rate. A physical and mathematical description precedes a reduction of the complete problem to droplet heat transfer in an analogy to Stokes' first problem, which is numerically solved by means of the Lagrangian volume of fluid methodology. -
On Dimensionless Numbers
chemical engineering research and design 8 6 (2008) 835–868 Contents lists available at ScienceDirect Chemical Engineering Research and Design journal homepage: www.elsevier.com/locate/cherd Review On dimensionless numbers M.C. Ruzicka ∗ Department of Multiphase Reactors, Institute of Chemical Process Fundamentals, Czech Academy of Sciences, Rozvojova 135, 16502 Prague, Czech Republic This contribution is dedicated to Kamil Admiral´ Wichterle, a professor of chemical engineering, who admitted to feel a bit lost in the jungle of the dimensionless numbers, in our seminar at “Za Plıhalovic´ ohradou” abstract The goal is to provide a little review on dimensionless numbers, commonly encountered in chemical engineering. Both their sources are considered: dimensional analysis and scaling of governing equations with boundary con- ditions. The numbers produced by scaling of equation are presented for transport of momentum, heat and mass. Momentum transport is considered in both single-phase and multi-phase flows. The numbers obtained are assigned the physical meaning, and their mutual relations are highlighted. Certain drawbacks of building correlations based on dimensionless numbers are pointed out. © 2008 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved. Keywords: Dimensionless numbers; Dimensional analysis; Scaling of equations; Scaling of boundary conditions; Single-phase flow; Multi-phase flow; Correlations Contents 1. Introduction .................................................................................................................