Ivan Fořt1, Bohuš Kysela2, Jiří Konfršt2

Slides:



Advertisements
Similar presentations
Technical Investigation Department. METHOD FOR 3-D MODELLING OF A MIXED FLOW PUMP USING PHOENICS D Radosavljevic.
Advertisements

Dominic Hudson, Simon Lewis, Stephen Turnock
Blade Element Momentum Theory for Tidal Turbine Simulation with Wave Effects: A Validation Study * H. C. Buckland, I. Masters and J. A. C. Orme
Svetlana Marmutova Laminar flow simulation around circular cylinder 11 of March 2013, Espoo Faculty of Technology.
Master’s Dissertation Defense Carlos M. Teixeira Supervisors: Prof. José Carlos Lopes Eng. Matthieu Rolland Direct Numerical Simulation of Fixed-Bed Reactors:
Convection in Flat Plate Turbulent Boundary Layers P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi An Extra Effect For.
FEMLAB Conference Stockholm 2005 UNIVERSITY OF CATANIA Department of Industrial and Mechanical Engineering Authors : M. ALECCI, G. CAMMARATA, G. PETRONE.
University of Western Ontario
Rotating Wall/ Centrifugal Separation John Bollinger, NIST-Boulder Outline ● Penning-Malmberg trap – radial confinement due to angular momentum ● Methods.
CBE 465 4/15/2017 Heuristics 19 Oct 12.
CBE 465 4/19/2017 Heuristics 19 Oct 12.
FUNDAMENTAL EQUATIONS, CONCEPTS AND IMPLEMENTATION
AIAA SciTech 2015 Objective The objective of the present study is to model the turbulent air flow around a horizontal axis wind turbine using a modified.
CHEMICAL REACTION ENGINEERING LABORATORY Characterization of Flow Patterns in Stirred Tank Reactors (STR) Aravind R. Rammohan Chemical Reaction Engineering.
Abolfazl SHIRI Feb. 19 th, Turbulence Measurements in: Natural Convection Boundary Layer Swirling Jet by Abolfazl Shiri Thesis Supervisor William.
Modeling of Two-Phase Flow in RH Vacuum Degassing Vessel With the Effect of Rotating Magnetic field Baokuan Li Northeastern University, China Fumitaka.
1 Modeling Flow Fields in Stirred Tanks Reacting Flows - Lecture 7 Instructor: André Bakker © André Bakker (2006)
CENTRAL AEROHYDRODYNAMIC INSTITUTE named after Prof. N.E. Zhukovsky (TsAGI) Multigrid accelerated numerical methods based on implicit scheme for moving.
MODELLING OF HYDROCYCLONES CFD Modelling Group Department of Mechanical Engineering University of British Columbia Process Simulations Limited.
Modeling Flow Fields in Stirred Tanks Reacting Flows – Homework 4
1 Turbulence Characteristics in a Rushton & Dorr-Oliver Stirring Vessel: A numerical investigation Vasileios N Vlachakis 06/16/2006.
LIQUID MIXING.
Chapter 5: BIOREACTOR DESIGN & SCALE-UP
Improving of Refining Efficiency Using Electromagnetic Force Driven Swirling Flow in Metallurgical Reactor Baokuan Li (Speaker) Fengsheng Qi Northeastern.
School of Aerospace Engineering MITE Numerical Modeling of Compressor and Combustor Flows Suresh Menon, Lakshmi N. Sankar Won Wook Kim S. Pannala, S.
Introduction 1. Similarity 1.1. Mechanism and mathematical description 1.2. Generalized variables 1.3. Qualitative analysis 1.4. Generalized individual.
University of Illinois at Urbana-Champaign Computational Fluid Dynamics Lab Bin Zhao 1 LES Simulation of Transient Fluid Flow and Heat Transfer in Continuous.
UPWIND, Aerodynamics and aero-elasticity
Computational Fluid Dynamics Applied to the Analysis of 10-mm Hydrocyclone Solids Separation Performance S. A. Grady, M. M. Abdullah, and G. D. Wesson.
Compressor Cascade Pressure Rise Prediction
Convection in Flat Plate Boundary Layers P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi A Universal Similarity Law ……
Conference on PDE Methods in Applied Mathematics and Image Processing, Sunny Beach, Bulgaria, 2004 NUMERICAL APPROACH IN SOLVING THE PDE FOR PARTICULAR.
Lecture 12 - Large Eddy Simulation Applied Computational Fluid Dynamics Instructor: André Bakker © André Bakker ( ) © Fluent Inc. (2002)
Turbulence Models Validation in a Ventilated Room by a Wall Jet Guangyu Cao Laboratory of Heating, Ventilating and Air-Conditioning,
Lecture Objectives: Define 1) Reynolds stresses and
Equipment Batch Mixing: When the material to be mixed is limited in volume to that which may be conveniently contained in a suitable mixer, batch mixing.
School of Aerospace Engineering MITE Numerical Simulation of Centrifugal Compressor Stall and Surge Saeid NiaziAlex SteinLakshmi N. Sankar School of Aerospace.
Tony Arts Carlo Benocci Patrick Rambaud
Heat Transfer Su Yongkang School of Mechanical Engineering # 1 HEAT TRANSFER CHAPTER 8 Internal flow.
CFD Simulation Investigation of Natural Gas Components through a Drilling Pipe RASEL A SULTAN HOUSSEMEDDINE LEULMI.
Neda HASHEMI Gaëtan GILLES Rúben António TOMÉ JARDIN Hoang Hoang Son TRAN Raoul CARRUS Anne Marie HABRAKEN 2D Thermal model of powder injection laser cladding.
FLUID FLOW FOR CHEMICAL ENGINEERING
Agitation & Mixing of fluids
CFD ANALYSIS OF MULTIPHASE TRANSIENT FLOW IN A CFB RISER
From: Hydraulic Loss of Finite Length Dividing Junctions
Introduction to the Turbulence Models
Study of the Performance Characteristics of a Stirred Tank Reactor Suitable for Diffusion Controlled Liquid-Solid Catalytic Reactions M.M. Taha, M.H. Abdel-Aziz,
WATER AND LEAD-BISMUTH EXPERIMENTS: FLUENT AND STAR-CD SIMULATION
Swirl intensity influence on interaction between non-swirling and swirling co-axial jets in a combustor configuration: LES and modelling study S. Šarić,
Chamber Dynamic Response Modeling
Chapter 5: BIOREACTOR DESIGN & SCALE-UP
Investigation of Heat Transfer in Stationary and Rotating Internal Cooling Channels with High Rotation Numbers Mandana Sheikhzad Saravani Saman Beyhaghi.
UPWIND, Aerodynamics and aero-elasticity
Xiaomin Pang, Yanyan Chen, Xiaotao Wang, Wei Dai, Ercang Luo
FACULTY OF ENGINEERING TECHNOLOGY AND RESEARCH
GOVERNMENT ENGINEERING COLLEGE, VALSAD
FACULTY OF ENGINEERING TECHNOLOGY & RESEARCH
Machine Elements, Luleå University of Technology
TURBOMACHINES Chapter 1 INTRODUCTION
Experimental study of the wake regions in wind farms
From: Modeling of Particle-Laden Cold Flow in a Cyclone Gasifier
Hui Wu Advanced Manufacturing Technology Research Laboratory
Vasileios Vlachakis 03/05/2006
Fundamentals of Convection
Lecture 4 Mixing.
E. Papanikolaou, D. Baraldi
Conjugate Heat Transfer simulation of Argon Gas Heater for Argon Recirculation and Purification System in Pyroprocessing facility Sourabh Agarwal, K. Revathy.
Mixing (2) Lab -8-.
  5.6 Rapid mix Rapid mixers should provide sufficient agitation to disperse the coagulant in raw water. Rapid mixing units can be classified according.
Mixing (2) Lab -8-.
Presentation transcript:

Ivan Fořt1, Bohuš Kysela2, Jiří Konfršt2 CFD SIMULATION OF TURBULENT VELOCITY FIELD IN THE DISCHARGE STREAM FROM A STANDARD RUSHTON TURBINE IMPELLER Ivan Fořt1, Bohuš Kysela2, Jiří Konfršt2 1)Department of Process Engineering, Faculty of Mechanical Engineering, CTU in Prague, Czech Republic 2)Institute of Hydrodynamics AS CR, v.v.i. Prague, Czech Republic

Introduction The flow inside the agitated vessel has a key role in the mixing process. Only the CFD modeling gives us the complex information about the whole flow field in contrary with the results of the experimental measurements. The enormous progress of the computational equipment has allowed using exacting turbulence models for the solution of the flow in the agitated vessel. The aim of our study is the description of the turbulent velocity field in the discharge stream from the standard Rushton turbine impeller in pilot plant mixing vessel with baffles at the wall. Investigation has been carried out experimentally (LDA technique) as well as by means of CFD simulation, where the Large Eddy Simulation (LES) approach has been used with a Sliding Mesh (SM) model for the impeller movement. 2

Calculated instantaneous turbulent flow field in the plane between adjacent baffles (the standard Rushton turbine impeller in asymmetrical vertical (axial) position). 3

CFD calculations A commercial ANSYS FLUENT v.13.0 solver of the finite volume method was employed. The turbulence was modelled by LES with SM simulation for the impeller movement. The sub-grid-scale aproach was used: Smagorinsky-Lilly model (Smagorinsky parameter C = 0.17) with Second Order Implicit scheme. The boundary conditions: water level to symmetry and others to no slip wall (shaft with impeller speed velocity). The walls of the vessel and baffles were provided by the boundary layer mesh. Mesh in the baffles vicinity and on the impeller surface. 4

Sliding region – cylindrical shape (distance D/10 from the cylindrical envelope) Solved hexahedral mesh consist of either 2.5∙106 cells (LES1) or 7.5∙106 cells (LES2). Finer mesh corresponds to the maximal cell size under 2 mm (measuring LDA volume). Time step: 1/1000 s (must not exceed 1/60 of one impeller revolution). Calculation time: 60 s (20 s necessary for the flow development), results were time averaged for ensemble-averaging. Mesh (LES1) on the vessel wall and impeller with depicted sliding region around the impeller. 5

Experimental Pilot plant mixing vessel (T = 300 mm) with four baffles at its wall. Water at room temperature as the working liquid. Impeller speed n = 300 rpm (impeller Reynolds number ReM =5.0∙104 ). Impeller: a standard Rushton turbine. Pilot plant mixing equipment: (H/T = 1; D/T = 1/3; C/D = 3/4; b/T = 1/10; four baffles). Standard Rushton turbine: (w/D=1/5; D1/D=3/4; C/D=3/4; l/D = 1/4; t/D = 1/50; six blades). 6

Photo of pilot plant mixing equipment with a six-blade standard Rushton turbine impeller (motor 2.2 kW, impeller speed n ∈<50;1500> min-1). Photo of laser beams LDA setup (adjusted for two-component measurement: radial and tangential). 7

Photo of pilot plant glass cylindrical mixing vessel with rotating six-blade standard Rushton turbine impeller (n = 300 min-1). 8

Laser Doppler Anemometry (LDA) One component measurements of the radial instantaneous velocity were performed in the impeller discharge stream: the vertical plane between two adjacent baffles. Dimensionless radial coordinates r*=2r/D: 1.2; 1.4; 1.6; 1.8; 2.0; 2.2. One component LDA system: Coherent INNOVA 305 Ion-Argon supply (power 5 W), DANTEC fiberflow transmiting optics, P80 DANTEC BSA processor, BSA Flow software v3.0 installed on standard PC, S-HGS (Silver coated – Hollow Glass Spheres) - mean diameter 10 mm, density 1.1 g/cm3 – trace particles. The measurement was performed through the glass flat bottom of the vessel with back scattering mode – length of measurement: 3 min in each measuring position of the optical probe (ellipsoid with characteristic dimension approx. 2 mm). 9

Results and Discussion 1. Axial profiles of the dimensionless radial mean ensemble- averaged velocity component in the discharge stream from a standard Rushton turbine impeller. (w – height of impeller blade, pDn – impeller tip speed): (𝑟 ∗ = 2𝑟 𝐷 =𝑐𝑜𝑛𝑠𝑡.) vers. 2. Axial profiles of the ensemble-averaged dimensionless r.m.s. of the radial fluctuation velocity in the discharge stream from a standard Rushton turbine impeller: (𝑟 ∗ = 2𝑟 𝐷 =𝑐𝑜𝑛𝑠𝑡.) vers. 10

Axial profiles of the dimensionless ensemble-averaged radial component of the mean velocity in the discharge stream from a standard Rushton turbine impeller (C/T = 1/3): Zone of Flow Establishment (ZFE) 𝑟 ∗ <1.8. 11

Axial profiles of the dimensionless ensemble-averaged radial component of the mean velocity in the discharge stream from a standard Rushton turbine impeller (C/T = 1/3): Zone of Established Flow (ZEF) 𝑟 ∗ ≥1.8. 12

𝜎 𝑊 𝑟 ∗ = 1 𝑁 𝑖=1 𝑁 𝑊 𝑟,𝐿𝐷𝐴 ∗ −𝑊 𝑟,𝐶𝐹𝐷 ∗ 2 1/2 Mean square difference s beween the measured 𝑊 𝑟,𝐿𝐷𝐴 ∗ and calculated 𝑊 𝑟,𝐶𝐹𝐷 ∗ data of dimensionless radial component of the mean ensemble-averaged velocity (number of measurement points in one axial profile z*: N = 24) 𝜎 𝑊 𝑟 ∗ = 1 𝑁 𝑖=1 𝑁 𝑊 𝑟,𝐿𝐷𝐴 ∗ −𝑊 𝑟,𝐶𝐹𝐷 ∗ 2 1/2 r* s LES1 sLES2 Zone 1.2 0.074 0.042 ZFE 1.4 0.090 0.051 1.6 0.075 0.049 1.8 0.065 0.057 ZEF 2.0 0.024 2.2 0.052 0.041 Note: 2.5∙106 cells 7.5 ∙106 cells 13

Axial profiles of the dimensionless r. m Axial profiles of the dimensionless r.m.s of the radial fluctuation velocity in the discharge stream from a standard Rushton turbine impeller in the Zone of Flow Establishment (ZFE) with influence of periodic pseudoturbulence (frequency of impeller blades: n·NB; (n – impeller speed, NB – number of impeller blades). 14

Axial profiles of the dimensionless r. m Axial profiles of the dimensionless r.m.s of the radial fluctuation velocity in the discharge stream from a standard Rushton turbine impeller in the Zone of Established Flow (ZEF) – random turbulence, only. 15

16 Zone of Flow Establishment (ZFE) r* < 1.8 Zone of Established Flow (ZEF) r* > 1.8 Power spectral density of the radial component of fluctuation velocity in the impeller discharge stream (Rushton turbine). 16

Power spectral density of the radial component of fluctuation velocity in the impeller discharge stream (Rushton turbine). 16b

Axial profiles of the dimensionless r. m Axial profiles of the dimensionless r.m.s of the radial fluctuation velocity in the discharge stream from a standard Rushton turbine impeller in the Zone of Flow Establishment (ZFE) and in the Zone of Established Flow (ZEF). 17

18 Impeller power input: 𝑷=𝟐𝝅𝒏 𝑴 𝒌 Mk – impeller torque obtained from the force balance in the impeller surface provided by the CFD calculations n – impeller speed r – density of agitated liquid 𝑷𝒐= 𝑷 𝝆 𝒏 𝟑 𝑫 𝟓 = 𝟓.𝟑𝟐 Impeller power number: (from CFD calculation, LES2) Experimental correlation (Bujalski et al., Chem. Eng. Sci. 42(2), 317-326, 1987) for turbulent regime of flow of agitated liquid: 𝑷𝒐=𝟐.𝟓𝟏𝟐 𝒕 𝑫 −𝟎.𝟏𝟗𝟓 𝑻 𝑻 𝒐 𝟎.𝟎𝟔𝟑 = 𝟓.𝟎𝟎 (from correlation) t = 2 mm (thickness of the separating disc of Rushton turbine impeller) D = 100 mm (impeller diameter) T = 300 mm (vessel diameter); To = 1 m 18

Conclusions LES approach can be successfully used for description of the turbulent velocity field in the discharge flow from a standard Rushton turbine impeller. Axial profiles of the radial component of the mean ensemble-averaged velocity in the discharge stream from a standard Rushton turbine impeller correspond to the idea of the impeller considered as a submerged tangentially symmetrical jet. Discharge flow from a standard Rushton turbine impeller can be divided to the Zone of Flow Establishment adjacent to the impeller and the Zone of Established Flow where the periodic portion of turbulence from rotating impeller blades disappears. The impeller power number derived from the impeller torque calculations of the presented LES numerical modeling is very close to the value of this quantity (Po) estimated from empirical correlation based on the results of experimental determination. LES approach of description of the turbulent velocity field in mechanically agitated system is strongly dependent on the density of grid of the solved mesh. 19

ACKNOWLEDGEMENT This research has been subsidized by the research projects GA ČR P101/12/2274, RVO 67985874 and INGO LG 13036. 20