Turbulent Heat Transfer Modelling in a Vessel Stirred by a Pitched Blade Turbine Impeller

Similar documents
A Numerical Study of Heat Transfer and Fluid Flow past Single Tube

STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS

CFD VALIDATION OF STRATIFIED TWO-PHASE FLOWS IN A HORIZONTAL CHANNEL

Numerical Analysis of Heat Transfer and Pressure Drop in a Channel Equipped with Triangular Bodies in Side-By-Side Arrangement

Introduction to Computational Fluid Dynamics

An Experimental and Numerical Study on Pressure Drop Coefficient of Ball Valves

A Comparative Investigation into Aerodynamic Performances of Two Set Finned Bodies with Circular and Non Circular Cross Sections

Computational investigation of the external excitation frequency effect on liquid sloshing phenomenon

Numerical simulation of flow past circular duct

Turbulent Flow in Curved Square Duct: Prediction of Fluid flow and Heat transfer Characteristics

Lecture 12. Modeling of Turbulent Combustion

Energy configuration optimization of submerged propeller in oxidation ditch based on CFD

Flow equations To simulate the flow, the Navier-Stokes system that includes continuity and momentum equations is solved

FORCED CONVECTION HEAT TRANSFER FROM A RECTANGULAR CYLINDER: EFFECT OF ASPECT RATIO

Turbulence and its Modelling

IC Engine Flow Simulation using KIVA code and A Modified Reynolds Stress Turbulence Model

Numerical Heat and Mass Transfer

INTERROGATING THE FLOW BEHAVIOUR IN A NOVEL MAGNETIC DESICCANT VENTILATION SYSTEM USING COMPUTATIONAL FLUID DYNAMICS (CFD)

Simulation and experiment of the effect of clearance of impeller wear-rings on the performance of centrifugal pump

Calculation of Aerodynamic Characteristics of NACA 2415, 23012, Airfoils Using Computational Fluid Dynamics (CFD)

A Study on Responces of Premixed Flames of Hydrogen, Methane and Propane having the same Adiabatic Flame Temperature to Flame Stretch

Study of transonic separated flows with zonal-des based on weakly non-linear turbulence model

THE NEAR-WALL INFLUENCE ON THE FLOW AROUND A SINGLE SQUARE CYLINDER.

Numerical Study of Propane-Air Mixture Combustion in a Burner Element

Basic concept of reactive flows. Basic concept of reactive flows Combustion Mixing and reaction in high viscous fluid Application of Chaos

Turbulent Flow. Turbulent Flow

Research & Reviews: Journal of Engineering and Technology

Computational Fluid Dynamics. Smoothed Particle Hydrodynamics. Simulations. Smoothing Kernels and Basis of SPH

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD

A NEW FILTERED DYNAMIC SUBGRID-SCALE MODEL FOR LARGE EDDY SIMULATION OF INDOOR AIRFLOW

Numerical Studies on Supersonic Turbulent Flow over a Backward Facing Sharp Edge Step Using Hybrid RANS-LES

A New Method to Calculate Centrifugal Pump Performance Parameters for Industrial Oils

EFFECT OF THE SIZE OF GRADED BAFFLES ON THE PERFORMANCE OF CHANNEL HEAT EXCHANGERS

NUMERICAL SIMULATION OF FLOW OVER STEPPED SPILLWAYS

Four Parameter Heat Transfer Turbulence Models for Heavy Liquid Metals

A numerical study on the shell-side turbulent heat transfer enhancement of shell-and-tube heat exchanger with trefoilhole

Effect of Different Near-Wall Treatments on Indoor Airflow Simulations

CFD Study of the Fluid Viscosity Variation and Effect on the Flow in a Stirred Tank Achouri Ryma, Hatem Dhaouadi, Hatem Mhiri, Philippe Bournot

Numerical Studies on Flow Features past a Backward Facing Sharp Edge Step Introducing Hybrid RANS-LES

Numerical simulation of water flow in an axial flow pump with adjustable guide vanes

Publication 2006/01. Transport Equations in Incompressible. Lars Davidson

REAL TIME AIRFLOW SIMULATION IN BUILDINGS

NUMERICAL MODEL FOR NON-DARCY FLOW THROUGH COARSE POROUS MEDIA USING THE MOVING PARTICLE SIMULATION METHOD

Simulation of Flow Pattern in Open Channels with Sudden Expansions

International Journal of ChemTech Research

Computational simulation of fluid dynamics in a tubular stirred reactor

A large scale tsunami run-up simulation and numerical evaluation of fluid force during tsunami by using a particle method

One-sided finite-difference approximations suitable for use with Richardson extrapolation

Investigation of a New Monte Carlo Method for the Transitional Gas Flow

RELATIVE PARTICLE TO FLUID VELOCITY IN TURBULENT FLUID

Study on Effect of Different Porosity on Thermally Driven Heat Transfer in a Centrifugal Force Field

Simulation of Turbulent Flow Using FEM

Application of the Adjoint Method for Vehicle Aerodynamic Optimization. Dr. Thomas Blacha, Audi AG

Computational Analysis of Cavitating Marine Propeller Performance using OpenFOAM

Electrical double layer: revisit based on boundary conditions

The unsteady flow characteristic research on the initial period flow of micro channel

3-D Numerical computations of turbulence in a partially vegetated shallow channel

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed

FEATURES OF TURBULENT TRANSPORT OF MOMENTUM AND HEAT IN STABLY STRATIFIED BOUNDARY LAYERS AND THEIR REPRODUCTION IN ATMOSPHERIC MESOSCALE MODELS

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity

Numerical simulation of the combustion of strong swirling confined reacting flow (natural gas /air) in gas turbine combustor

arxiv: v1 [physics.flu-dyn] 16 Sep 2013

Introduction to Turbulence Modeling

Investigation of the effects of various parameters on mixing time in pilot stirred tank equipped single and dual rushton impeller

OPTIMIZATION ANALYSIS FOR LOUVER-FINNED HEAT EXCHANGERS

PERMEABILITY-POROSITY RELATIONSHIP ASSESSMENT BY 2-D NUMERICAL SIMULATIONS

Lecture 5.8 Flux Vector Splitting

Numerical Transient Heat Conduction Experiment

A Particle Filter Algorithm based on Mixing of Prior probability density and UKF as Generate Importance Function

Handout: Large Eddy Simulation I. Introduction to Subgrid-Scale (SGS) Models

829. An adaptive method for inertia force identification in cantilever under moving mass

The Tangential Force Distribution on Inner Cylinder of Power Law Fluid Flowing in Eccentric Annuli with the Inner Cylinder Reciprocating Axially

A NUMERICAL COMPARISON OF LANGRANGE AND KANE S METHODS OF AN ARM SEGMENT

Heat Transfer and Turbulent Nanofluid Flow over a Double Forward- Facing Step

Natural Convection in a Rectangular Enclosure with Colliding Boundary Layers

High resolution entropy stable scheme for shallow water equations

Available online at ScienceDirect. International Conference on Design and Manufacturing 2013 (IConDM 2013)

The Finite Element Method

Significance of Dirichlet Series Solution for a Boundary Value Problem

Performance Evaluation of a Model Thermocompressor using Computational Fluid Dynamics

Survey of applications of discrete vortex method in civil engineering

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests

TURBULENT WALL JET OVER A FORWARD-BACKWARD FACING STEP PAIR

HEAT TRANSFER IN ELECTRONIC PACKAGE SUBMITTED TO TIME-DEPENDANT CLIMATIC CONDITIONS

Design optimization of a high specific speed Francis turbine runner

Lattice Boltzmann simulation of nucleate boiling in micro-pillar structured surface

The Analysis of Convection Experiment

Nomenclature. I. Introduction

NUMERICAL ANALYSIS OF TURBULENT FLOW WITH HEAT TRANSFER IN A SQUARE DUCT WITH 45 DEGREE RIBS

NUMERICAL RESULTS QUALITY IN DEPENDENCE ON ABAQUS PLANE STRESS ELEMENTS TYPE IN BIG DISPLACEMENTS COMPRESSION TEST

Optimal Control of Temperature in Fluid Flow

GeoSteamNet: 2. STEAM FLOW SIMULATION IN A PIPELINE

Principles of Food and Bioprocess Engineering (FS 231) Solutions to Example Problems on Heat Transfer

CONTROLLED FLOW SIMULATION USING SPH METHOD

NUMERICAL SIMULATION OF CONDENSATION ON A CAPILLARY GROOVED STRUCTURE

Numerical Modelling and Experimental Validation of a Turbulent Separated Reattached Flow

Numerical Simulation of Lid-Driven Cavity Flow Using the Lattice Boltzmann Method

Back Analysis of Self-Compacting Concrete Rheological Parameters Based on H-B Model

Natural Convection with Localized Heating and Cooling on Opposite Vertical Walls in an Enclosure

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products

Transcription:

Turbulent Heat Transfer Modellng n a Vessel Strred by a Ptched Blade Turbne Impeller BARBARA ZAKRZEWSKA, ZDZISŁAW JAWORSKI Chemcal Engneerng Faculty Szczecn Unversty of Technology Al. Pastó 42, 70-065 Szczecn POLAND aorsk@ps.pl zakrzeska@ps.pl http://.pmg.ps.pl Abstract: - The CFD modellng of the turbulent heat transfer n a strred vessel has been presented. Four turbulence models,.e. the standard and optmzed Chen-Km k-ε and also the standard and shear-stress transport k-ω models along th to near-all regon models ere used n the modellng. The predcted local values of the heat transfer coeffcent favourably compared th the expermental data from lterature. Key-Words: - CFD modellng, heat transfer, turbulent flo, strred tank, PBT mpeller, turbulence models. 1 Introducton Numercal modellng of heat transfer th the use of CFD codes has been dely appled n process engneerng. Hoever, only fe papers ere publshed on that modellng n strred vessels. Kamnoyama et al. [1] and Kuncecz et al. [2] obtaned a good agreement beteen the predcted and the expermental results n the lamnar flo regme. Hoever, n the turbulent flo regme ths agreement as poor [3, 4]. In the earler publcaton [5], concernng the CFD modellng n the Rushton turbne strred vessel, to possble reasons of the underpredcton of the heat transfer coeffcent ere gven. One of them as lo accuracy of the turbulent momentum transfer smulaton n the vessel, especally n terms of the turbulence characterstcs n the all et. In ths paper a heat transfer modellng methodology as proposed, hch has led to better agreement beteen the CFD and expermental data, beng close to the expermental error level. The same methodology as used n the present nvestgatons. 2 Modellng methodology The computatonal flud dynamcs (CFD) method as appled to the heat transfer modellng n a acketed strred tank. The vessel th a dshed bottom had the dameter, T = 58m, and as equpped th a ptched blade turbne mpeller and four standard baffles. The vessel as flled th strred flud to the heght H = T and the flud had physcal propertes smlar to those of ater. The four bladed mpeller had the dameter D = 83T and as stuated axally at the off-bottom dstance, C = 33H, and had the rotatonal speed, N, resultng n Re = 3.4x10 4. The vessel geometry and operatng condtons ere dentcal to those used n the experments publshed by Post [6]. The standard Reynolds averaged Naver-Stokes (RANS) equatons (Eq. (1)) along th the contnuty (Eq. (2)) and energy transport (Eq. (3)) equatons ere numercally solved th the help of the Fluent 6.0 code. The source term S T on the left-hand sde of Eq. (3) represents the vscous and turbulent energy dsspaton functon. It s usually omtted, except for the systems hen the large vscosty and the large velocty gradents appear. The values of the turbulent thermal conductvty, λ t, n Eq. (3) ere calculated from turbulent Prandtl number (Eq. 4), hch as assumed to be equal to 5. ( ρv ) ( ρv v ) t v + = 0 ( ρc T) = ( µ + µ ) t v p + ρf (1) p T ( c p v T) + ρ = ( λ + λ t ) + ST (3) t x µ Pr c t t = p (4) λt Based on the prevous numercal nvestgatons [5], four selected turbulence models ere used n order to close the equaton set. The follong models ere tested: the standard [7] and optmzed Chen-Km [8] k-ε models and also the standard k-ω [9] and the shear-stress transport k-ω (k-ω SST) [10]. The standard logarthmc all functons ere appled to descrbe the boundary flo at the vessel all. In addton, the standard k-ε (2)

model along th the enhanced all treatment as used n the CFD smulatons. Good predcton of the flo feld and turbulence ntensty, especally near the all regon s very mportant for the numercal heat transfer modellng. The effect of both the numercal grd densty and also the turbulence model on the turbulent momentum transfer modellng n the all et regon as reported elsehere [11, 12] for the standard strred tank equpped th ptched blade turbne mpeller and four baffles. The effect of the turbulence models from the k-ω famly for the same geometry as also nvestgated [13]. It as concluded that the flo feld as predcted qute ell, hereas the turbulence knetc energy as underpredcted, hen the 100K cells grd and the standard and optmzed Chen-Km k-ε models ere used. The k-ω models gave a loer accuracy of the predcted mean velocty and turbulence knetc energy than the standard k-ε model. The fne grd (340K cells) as reected, because the values of the nondmensonal dstance from the tank all, y +, ere belo 20. Ths meant that recommendatons for usng all functons ere not fulflled. In the present study to numercal grds of dfferent densty ere employed. The number of grd cells as ether about 100K or 340K. It as decded to use the fne grd, because the mpeller nvestgated n ths paper dd not have standard dameter (D = 83T) and generated bgger turbulence than the standard mpeller. The values of y + ere checked after the smulatons. propertes ere defned n the Fluent code. The tank all, ncludng the dshed bottom, as dvded nto 4 quarters. One of them played the role of the heatng all. The opposte one as the coolng all. The mposed all temperatures ere equal to 308 and 288 K for the heatng and coolng alls, respectvely. To other quarters ere assumed adabatc and had the same temperature as the strred flud before the heat transfer process. Other boundary condtons ere the same for all the tank all quarters. The arrangement of the heatng, coolng and neutral alls s shon n Fg. 1. The segregated solver as employed to carry out the steady-state smulatons. The numercal computaton of the Reynolds equatons (1) along th the contnuty equaton (2) and th the selected turbulence model as the frst stage of the CFD smulatons. The flo feld and the turbulence quanttes ere obtaned. Next, the energy transport equaton (3) as solved, untl the normalzed sum of resduals decreased belo 10-8. The local values of the heat transfer rate,, ere obtaned as the result of the heat transfer smulatons and the local heat transfer coeffcent, h, as calculated from Eq. (5). The dfference beteen the temperature of the heatng (coolng) all, T, and the flud bulk temperature, T bulk, as the drvng temperature dfference. h = (T T bulk ) (5) neutral all, T n = 298K heatng all, T = 308K coolng all, T = 288K Fg. 1. Heat transfer boundary condtons The MxSm 1.7 preprocessor as used to generate to unstructured, hexahedral grds of dfferent densty. In order to smulate the acton of the ptched blade turbne mpeller, the opton of the multple frames of reference as used. The no-slp condtons at all fludsold boundares and the symmetry condtons at the free surface of the strred lqud ere chosen. All the heat transfer boundary condtons as ell as the flud 3 Results The contours of the computed heat transfer rate,, for all the turbulence models and grd denstes used are shon n Fg. 2. The hghest values of ere obtaned for the standard k-ε model th enhanced all treatment. Slghtly loer values of ere acheved for the other turbulence models tested. These values ere close to each other n the vertcal part of the heatng (coolng) alls. Large dscrepances beteen the predcted values of the heat transfer rate ere obtaned for the k-ε and the k-ω models n the bottom of the tank. The average values ere equal to 43000 and 33000 W/m 2, for the models from the k-ε and k-ω famles, respectvely. The local values of hgher than 39000 W/m 2 n the bottom of the tank ere shon as a hte places n the contours of n Fg. 2. The strred flud temperature, averaged n the hole tank volume as equal to 298.00 for all tested cases. The maxmum dfferences beteen the local and the average temperature ere equal to ± %. Therefore, n the calculatons of the local heat transfer coeffcent, the

Fne grd ~ 340K cells + WF + EWT Optmzed Chen-Km k-ε Standard k-ω k-ω SST 3.90 3.52 3.14 2.76 2.38 2.00 1.62 1.24 6 8 0 10 [W/m 2 ] 4 Coarse grd ~ 100Kcells + WF + EWT Optmzed Chen-Km k-ε Standard k-ω k-ω SST Fg. 2. Contours of the heat transfer rate at the heatng all for all turbulence models tested. WF all functons, EWT enhanced all treatment averaged value of temperature as used as the bulk flud temperature, T bulk n Eq. (5). The same results ere obtaned n prevous nvestgatons [5] hen the heat transfer modellng n a standard Rushton turbne strred tank as carred out usng the same thermal boundary condtons. The predcted local values of the heat transfer coeffcent, h, calculated from Eq. (5) ere compared th the expermental [6]. The comparson as performed at nne axal postons and for the angular poston of θ = 45 beteen the adacent baffles. The axal profles of the h coeffcent for all the turbulence models and grd denstes are shon n Fg. 3. A good agreement beteen the predcted and expermental values of h, th dscrepances of about 8% (fne grd) and 12% (coarse grd) as obtaned for the axal postons = to 5. Near to the free surface of the strred lqud the dfference n the h values from CFD and experment as about 35% for the fne grd and 28% for the coarse grd. Smlarly, n the loer part of the vessel, belo the mpeller level, the h values ere underpredcted, especally by the standard k-ω model hen the dscrepances ere equal to 44%. For the other cases tested, they ere about 35% beng roughly the same for the to tested grds. 4 Conclusons CFD modellng of the turbulent heat transfer n strred tank equpped th the non-standard ptch blade turbne mpeller and four flat baffles as carred out. The follong conclusons ere dran from the analyss of the modellng results: 1. The best agreement beteen the predcted and expermental [6] values of the local heat transfer coeffcent, h, as obtaned for the fne grd and standard k-ε turbulence model along th the enhanced all treatment. The dfferences ere equal to 12.2%. 2. The smulated values of h ere underpredcted near to the free surface of the strred lqud and to the tank bottom n all the tested cases. 3. The same methodology used n the present and prevous [5] nvestgatons resulted n a good

340K cells Post, 1983 k-epslon + WF k-epslon + EWT optmzed Chen-Km Post, 1983 k-epslon + WF k-omega k-omega SST 100K cells Fg. 3. Axal profles of heat transfer coeffcent for all turbulence models and grd denstes. WF all functons, EWT enhanced all treatment agreement beteen the CFD and expermental values of h for the standard and non-standard geometry of the strred tank. ACKNOWLEDGEMENTS The State Commttee for Scentfc Research s gratefully acknoledged for fnancal support thn the grant No. 4 T09C 003 22 and thanks are also due to Fluent Inc. for usng the MxSm softare. References: [1] M. Kamnoyama, M. Watanabe, K. Nsh, M. Kamano, Numercal smulaton of local heat transfer coeffcents n strred vessel th mpeller for hghly vscous fluds, Journal of Chemcal Engneerng of Japan, Vol. 32 No. 1, 1999, pp. 23-30. [2] Cz. Kuncecz., A. Nedzelska, M. Petrzykosk, Formulaton and soluton of a heat transfer model for rbbon mpellers (n Polsh), In Ŝ ynera Chemczna Procesoa, Vol. 25, No. 3/2, 2004, pp. 1225-1230. [3] Z. Jaorsk, Numercal studes on acket heat transfer n strred tanks, CHISA Congress, Prague, 31 August 2000, G7 Symposum on CFD, 2000. [4] A.J. Mannng, R. Mann, M. Colley, CFD model of the flo from a heated mpeller n a strred vessel, In: IChemE Symp. Ser., 140, Flud Mxng 5 Conference, 4-5 July 1996, Bradford, UK, pp. 95-105. [5] B. Zakrzeska, Z. Jaorsk, CFD modellng of turbulent acket heat transfer n a Ruston turbne

strred vessel, Chemcal Engneerng and Technology, Vol. 27, No. 3, 2004, pp. 237-242. [6] T. A. Post, Geometrcal nfluences on local and total mass and heat transfer n an agtated tank. PhD thess. Sss Federal Insttute of Technology, Zurch, 1983. [7] B. E. Launder, D. B. Spaldng, The numercal computaton of turbulent flos, Computer Methods n Appled Mechancs and Engneerng, Vol. 3, 1974, pp. 269-289. [8] M. Jenne, M. Reuss, A crtcal assessment on the use of k-ε turbulence models for smulaton of the turbulent lqud flo nduced by a Rushton-turbne n baffled strred-tank reactors, Chemcal Engneerng Scence, Vol. 54, 1999, pp. 3921-3941. [9] D.C. Wlcox, Reassessment of the scale-determnng equaton for advanced turbulence models, Amercan Insttuton of Aeronautcs and Astronautcs Journal, Vol. 26, No. 11, 1988, pp. 1299-1310. [10] F.R. Menter, To-equaton eddy-vscosty turbulence models for engneerng applcatons, Amercan Insttuton of Aeronautcs and Astronautcs Journal, Vol. 32, No. 8, 1999, pp. 1598-1605. [11] Z. Jaorsk Z., B. Zakrzeska, Modellng of the turbulent all et generated by a ptched blade turbne mpeller. The effect of turbulence model, Trans IChemE Part A, Vol. 80, 2002, pp. 846-854. [12] B. Zakrzeska, Z. Jaorsk, Modellng of the turbulent all et generated by a ptched blade turbne mpeller. The effect of numercal grd densty (n Polsh), In Ŝ ynera Aparatura Chemczna, Vol. 4S, 2002, pp. 149-150. [13] B. Zakrzeska, Numercal heat transfer modellng n strred tanks. PhD thess. Szczecn Unversty of Technology, Poland, 2003.