LATTICE-BOLTZMANN METHOD FOR THE SIMULATION OF LAMINAR MIXERS
|
|
- Veronica Wiggins
- 6 years ago
- Views:
Transcription
1 14 th European Conference on Mixing Warszawa, September 2012 LATTICE-BOLTZMANN METHOD FOR THE SIMULATION OF LAMINAR MIXERS Felix Muggli a, Laurent Chatagny a, Jonas Lätt b a Sulzer Markets & Technology Ltd., Sulzer Innotec, Sulzer Allee 25, CH-8404 Winterthur, Switzerland; b FlowKit Ltd., Route d'oron 2, CH-1010 Lausanne, Switzerland Felix.Muggli@Sulzer.com Abstract. A lattice Boltzmann method is used to simulate the blending of two fluids in static, laminar mixers. The method uses a mesh-based algorithm to solve for the fluid flow, and a meshless technique to trace the interface between the blended fluids. This hybrid approach is highly accurate, because the position of the interface can be traced beyond the resolution of the grid. The numerical diffusion is negligible in this model, and it is possible to reproduce mixing patterns that contain more than one hundred striations with high fidelity. Compared to other methods, this approach makes no assumptions on the used geometry: the subsequent mixer units are for example not required to be identical. Furthermore, although this article focuses on static fluid mixers, the approach naturally extends to fluid mixing in time-dependent flows. Keywords: Laminar Mixer, CFD, Lattice Boltzmann Method, Particle Method. 1. INTRODUCTION Flow simulations are well established within the design and development processes for static laminar mixers. Continuous development of the numerical models and validation of the computational fluid dynamics (CFD) codes against test data did lead to quite reliable simulation tools for the prediction of the pressure loss. However, the correct prediction of the quantitative mixing quality is still quite a challenge. The standard Navier-Stokes solvers usually employed in the industrial design environment tend to predict too optimistic mixing qualities. The reason for this so-called numerical diffusion is well known: the very thin fluid layers, common in laminar mixing, cannot be adequately resolved by a computational mesh of reasonable dimensions. Hence, these fluid layers are actually thinner than the mesh spacing and the computed mixing is then smeared. An alternative to the Reynolds Averaged Navier-Stokes approach is the Lattice- Boltzmann method (LBM). This relatively new method in the field of CFD is based on the Boltzmann equation which describes statistical properties of a gas by means of a velocity distribution function. It basically expresses a balance between transport and collision of molecules. The Boltzmann equation is discretized on a regular grid where the numerical variables are stored on the nodes. At each time step during the simulation a collision term is evaluated and the results are then propagated to the neighboring nodes (streaming). In this article, the LBM is applied to commercially developed static laminar mixers. The code computes the flow pattern in the mixer with high accuracy, and high efficiency thanks to the excellent scalability of the LBM for parallel computing, during the actual computation as well as during pre- and post-processing. Comparisons of the pressure drop show that the flow pattern is computed with an accuracy comparable to that of commercial solvers. 317
2 The real strength of the method is however found in its ability to include meshless techniques that are used to predict accurate mixing patterns. This article focuses on mixing patterns predicted for the Sulzer SMX mixer and two types of Sulzer helical mixers. In the first case, the computed mixing patterns are shown to match well with results from laboratory experiment. In the second case, the quality of mixing is assessed quantitatively throughout the mixer and compared between two mixer models. 2. NUMERICAL METHOD The numerical approach adopted in this work assumes that the blended fluids have equal viscosity. The fluid motion is therefore simulated through a single-fluid equation, modelled by means of a lattice Boltzmann method. The mixing pattern is computed by tracking the path of passive scalar particles of two species. A sufficient number of particles (of the order of ) is injected in order to achieve a continuum approximation. The particles have a Lagrangian movement and are not tied to the fluid grid. In a given control volume, the number of particles n1 and n2 of species 1 and 2 are counted, and the concentration c of fluid 1 is defined as n1 c = n1 + n2 The coefficient of variation COV indicates the mixing quality, and is defined across a slice perpendicular to the mixer tube as ( c c) COV = where c is the average of c c A The numerical models used in the simulations are summarized in the following table: Fluid Lattice Boltzmann BGK model with D3Q19 lattice [1]. Boundary Condition (mixer) Particles Guo off-lattice model [2]. Second-order Verlet time integration, with linear interpolation of the velocity field in a cell. 3. COMPUTATION OF MIXING QUALITY IN A 4-ELEMENT SMX MIXER The first simulation presented here has been applied to a 4-element SMX mixer, the geometry of which is presented in the image below: Fig. 1: Representation of the 4-element SMX mixer For better visualization, the mixer has been cut in two, and only the lower half is displayed. All four elements of this mixer are identical, and each element is rotated by a 90 angle with respect to the previous one. Further details on SMX mixer can be found in [3,4]. 318
3 The obtained mixing pattern is displayed in the image below in four sequences, taken at given positions in each of the four mixer units. The left image corresponds to experimental data, which has been obtained through the injection of two hardening, colored fluids. The right image displays the results of lattice Boltzmann simulations. Fig. 2: Comparison of experimental and numerical mixing patterns in the 4-el. SMX mixer a) 1 st mixer unit b) 2 nd mixer unit c) 3 rd mixer unit 319
4 d) 4 th mixer unit A particularly striking agreement between the mixing patterns obtained in experiment and simulation is observed, and the agreement appears to improve, rather than decrease, along the downstream direction in the mixer. A clear disagreement appears in the central area of the image of the first mixer unit, in which the mixing pattern in the experimental image is not fully symmetric. This must however be associated to the conditions of the experimental setup, in which the flow pattern is not exactly controlled at the point of injection of the fluids in the mixer. It should be mentioned that results of similar quality are also obtained with a different numerical method, based on a so-called trajectory mapping scheme (see [4]). An important relative advantage of the lattice Boltzmann is however provided by its high speed of computation, obtained through efficient parallelization. The mixing pattern shown in the images above where for example computed within 24 hours on a 64-core, Intel-based parallel computer. This leads to a high productivity and interactivity which is not achieved with the non-parallel codes for the trajectory mapping scheme available to the authors. Furthermore, the trajectory mapping scheme relies on the assumption that all mixer elements are identical. It therefore computes the actual mixing pattern for a single mixer element only which then is reapplied to every subsequent element after an adequate rotation. In a long mixer with non-repetitive elements, like the helical mixers described in the next section, this method would therefore be not possible. 4. COMPUTATION OF MIXING QUALITY IN TWO HELICAL MIXERS In this section, simulations for the mixing pattern in two helical mixers are presented. In the first helical mixer (referred to as the long helical mixer in the following), a spacing is introduced between subsequent mixer elements, a fact by which the total mixer length is artificially enhanced. In the second mixer (which we refer to as the short helical mixer ), these additional spaces are skipped. While the tubes of both mixers are of the same length, the tube of the shorter mixer contains an empty space in the outflow area. The number of elements is the same in the two mixers. In both mixers, the successive elements are close to identical, but contain small differences that break the repetitive pattern. The mixers are presented in Fig. 3. As in the previous case, they have been cut in two halves for visualization purposes, and only the lower part is shown. The mixing process is smoother in a helical mixer than in a SMX mixer. The mixing patterns computed in the long helical mixer are shown in Fig. 4, first on a slice in the middle of the mixer (left image), and then on a slice at the mixer exit (right image). In this case, experimental data for a direct comparison was not available. 320
5 Fig. 3: Representation of the two helical mixers used in the simulations a) long helical mixer b) short helical mixer Fig. 4: Mixing pattern in the long helical mixer, obtained by numerical simulation. We compared the quality of mixing in these two helical mixers, by computing the COV value according to the definition proposed in Section 2. The results are presented in Fig. 5. The value of the COV drops as expected throughout the mixers, as the fluids are blended. At the end of each mixer unit, the COV increases slightly but noticeably. This can be explained by the fact that the fluids, after leaving a mixer element, need to fill the empty space left behind by the central solid structure of the element. In the process, they are dilated (as seen on the left picture of Fig. 4), and the COV increases locally. It can be seen that due to its condensed structure, the short helix mixer blends the two fluids faster, as the slope of the COV curve is steeper. The long helix mixer on the other hand produces a lower COV value at the mixer exit, and provides therefore all in all a blending mechanism of higher quality. 321
6 Fig. 5: Quality of mixing, represented through the COV value, throughout the long and the short helical mixers. 5. CONCLUSION AND OUTLOOK With the lattice Boltzmann method, a new numerical tool is available which seems particularly adequate for the simulation of static mixing processes. The method easily incorporates meshless techniques to represent fluid mixing with patterns at sub-grid accuracy, and is particularly fast thanks to massive parallelism. It is therefore concluded that this method is quite advantageous for the performance assessment of laminar mixers during the design process in industry. While the results presented in this paper all apply to static mixers, the presented method can be applied without modifications to dynamic mixing processes, because the mesh-based fluid solver and the meshless passive tracers of fluid mixing are dynamically coupled and executed synchronously. Results in dynamic mixers will be presented in future publications. 6. REFERENCES [1] Chen S., Doolen G. D., Lattice Boltzmann Method for Fluid Flows, Ann. Rev. Fluid Mech., 30, [2] Guo Z., Zheng G., Shi B, An extrapolation method for boundary conditions in lattice Boltzmann method, Phys. Fluids, 14, [3] Visser J. E., Rozendal P. F., Hoogstraten W., Beenackers A. A. C. M., Three dimensional numerical simulation of flow and heat transfer in the Sulzer SMX static mixer, Ch. Eng. Sc., 54, [4] Hirschberg S., Koubek R., Moser F., Schöck J., An improvement of the Sulzer SMX static mixer significantly reducing the pressure drop, Proceedings of 13 th European Conference on Mixing,
Modeling of Laminar Flow Static Mixers
Modeling of Laminar Flow Static Mixers Nagi Elabbasi, Xiaohu Liu, Stuart Brown ( ) Mike Vidal, Matthew Pappalardo (Nordson EFD) COMSOL Conference 2012, Boston, MA Excerpt from the Proceedings of the 2012
More informationThree Dimensional Numerical Simulation of Turbulent Flow Over Spillways
Three Dimensional Numerical Simulation of Turbulent Flow Over Spillways Latif Bouhadji ASL-AQFlow Inc., Sidney, British Columbia, Canada Email: lbouhadji@aslenv.com ABSTRACT Turbulent flows over a spillway
More informationIntroduction to C omputational F luid Dynamics. D. Murrin
Introduction to C omputational F luid Dynamics D. Murrin Computational fluid dynamics (CFD) is the science of predicting fluid flow, heat transfer, mass transfer, chemical reactions, and related phenomena
More informationSolved with COMSOL Multiphysics 4.2
Laminar Static Mixer Introduction In static mixers, also called motionless or in-line mixers, a fluid is pumped through a pipe containing stationary blades. This mixing technique is particularly well suited
More informationInfluence of mesh quality and density on numerical calculation of heat exchanger with undulation in herringbone pattern
Influence of mesh quality and density on numerical calculation of heat exchanger with undulation in herringbone pattern Václav Dvořák, Jan Novosád Abstract Research of devices for heat recovery is currently
More informationFaculty of Mechanical and Manufacturing Engineering, University Tun Hussein Onn Malaysia (UTHM), Parit Raja, Batu Pahat, Johor, Malaysia
Applied Mechanics and Materials Vol. 393 (2013) pp 305-310 (2013) Trans Tech Publications, Switzerland doi:10.4028/www.scientific.net/amm.393.305 The Implementation of Cell-Centred Finite Volume Method
More informationExample 13 - Shock Tube
Example 13 - Shock Tube Summary This famous experiment is interesting for observing the shock-wave propagation. Moreover, this case uses the representation of perfect gas and compares the different formulations:
More informationFLOWING FLUIDS AND PRESSURE VARIATION
Chapter 4 Pressure differences are (often) the forces that move fluids FLOWING FLUIDS AND PRESSURE VARIATION Fluid Mechanics, Spring Term 2011 e.g., pressure is low at the center of a hurricane. For your
More informationComputation of Velocity, Pressure and Temperature Distributions near a Stagnation Point in Planar Laminar Viscous Incompressible Flow
Excerpt from the Proceedings of the COMSOL Conference 8 Boston Computation of Velocity, Pressure and Temperature Distributions near a Stagnation Point in Planar Laminar Viscous Incompressible Flow E. Kaufman
More informationComputational Modeling and Simulation of the Human Duodenum
Computational Modeling and Simulation of the Human Duodenum Bostjan Hari 1, Serafim Bakalis 1, Peter Fryer 1 1 The University of Birmingham, School of Chemical Engineering, Edgbaston, Birmingham, United
More informationNumerical studies for Flow Around a Sphere regarding different flow regimes caused by various Reynolds numbers
Numerical studies for Flow Around a Sphere regarding different flow regimes caused by various Reynolds numbers R. Jendrny, H. Damanik, O. Mierka, S. Turek Institute of Applied Mathematics (LS III), TU
More informationCFD-1. Introduction: What is CFD? T. J. Craft. Msc CFD-1. CFD: Computational Fluid Dynamics
School of Mechanical Aerospace and Civil Engineering CFD-1 T. J. Craft George Begg Building, C41 Msc CFD-1 Reading: J. Ferziger, M. Peric, Computational Methods for Fluid Dynamics H.K. Versteeg, W. Malalasekara,
More informationParallel Direct Simulation Monte Carlo Computation Using CUDA on GPUs
Parallel Direct Simulation Monte Carlo Computation Using CUDA on GPUs C.-C. Su a, C.-W. Hsieh b, M. R. Smith b, M. C. Jermy c and J.-S. Wu a a Department of Mechanical Engineering, National Chiao Tung
More informationENERGY-224 Reservoir Simulation Project Report. Ala Alzayer
ENERGY-224 Reservoir Simulation Project Report Ala Alzayer Autumn Quarter December 3, 2014 Contents 1 Objective 2 2 Governing Equations 2 3 Methodolgy 3 3.1 BlockMesh.........................................
More informationComputational Fluid Dynamics PRODUCT SHEET
TM 2014 Computational Fluid Dynamics PRODUCT SHEET 1 Breaking Limitations The Challenge of Traditional CFD In the traditional mesh-based approach, the reliability highly depends on the quality of the mesh,
More informationNUMERICAL VISCOSITY. Convergent Science White Paper. COPYRIGHT 2017 CONVERGENT SCIENCE. All rights reserved.
Convergent Science White Paper COPYRIGHT 2017 CONVERGENT SCIENCE. All rights reserved. This document contains information that is proprietary to Convergent Science. Public dissemination of this document
More informationDriven Cavity Example
BMAppendixI.qxd 11/14/12 6:55 PM Page I-1 I CFD Driven Cavity Example I.1 Problem One of the classic benchmarks in CFD is the driven cavity problem. Consider steady, incompressible, viscous flow in a square
More informationWebinar #3 Lattice Boltzmann method for CompBioMed (incl. Palabos)
Webinar series A Centre of Excellence in Computational Biomedicine Webinar #3 Lattice Boltzmann method for CompBioMed (incl. Palabos) 19 March 2018 The webinar will start at 12pm CET / 11am GMT Dr Jonas
More informationFlow and Heat Transfer in a Mixing Elbow
Flow and Heat Transfer in a Mixing Elbow Objectives The main objectives of the project are to learn (i) how to set up and perform flow simulations with heat transfer and mixing, (ii) post-processing and
More informationInvestigation of cross flow over a circular cylinder at low Re using the Immersed Boundary Method (IBM)
Computational Methods and Experimental Measurements XVII 235 Investigation of cross flow over a circular cylinder at low Re using the Immersed Boundary Method (IBM) K. Rehman Department of Mechanical Engineering,
More informationLagrangian methods and Smoothed Particle Hydrodynamics (SPH) Computation in Astrophysics Seminar (Spring 2006) L. J. Dursi
Lagrangian methods and Smoothed Particle Hydrodynamics (SPH) Eulerian Grid Methods The methods covered so far in this course use an Eulerian grid: Prescribed coordinates In `lab frame' Fluid elements flow
More information(LSS Erlangen, Simon Bogner, Ulrich Rüde, Thomas Pohl, Nils Thürey in collaboration with many more
Parallel Free-Surface Extension of the Lattice-Boltzmann Method A Lattice-Boltzmann Approach for Simulation of Two-Phase Flows Stefan Donath (LSS Erlangen, stefan.donath@informatik.uni-erlangen.de) Simon
More informationPossibility of Implicit LES for Two-Dimensional Incompressible Lid-Driven Cavity Flow Based on COMSOL Multiphysics
Possibility of Implicit LES for Two-Dimensional Incompressible Lid-Driven Cavity Flow Based on COMSOL Multiphysics Masanori Hashiguchi 1 1 Keisoku Engineering System Co., Ltd. 1-9-5 Uchikanda, Chiyoda-ku,
More informationNavier-Stokes & Flow Simulation
Last Time? Navier-Stokes & Flow Simulation Pop Worksheet! Teams of 2. Hand in to Jeramey after we discuss. Sketch the first few frames of a 2D explicit Euler mass-spring simulation for a 2x3 cloth network
More informationDesign optimization method for Francis turbine
IOP Conference Series: Earth and Environmental Science OPEN ACCESS Design optimization method for Francis turbine To cite this article: H Kawajiri et al 2014 IOP Conf. Ser.: Earth Environ. Sci. 22 012026
More informationsimulation framework for piecewise regular grids
WALBERLA, an ultra-scalable multiphysics simulation framework for piecewise regular grids ParCo 2015, Edinburgh September 3rd, 2015 Christian Godenschwager, Florian Schornbaum, Martin Bauer, Harald Köstler
More informationLattice Boltzmann with CUDA
Lattice Boltzmann with CUDA Lan Shi, Li Yi & Liyuan Zhang Hauptseminar: Multicore Architectures and Programming Page 1 Outline Overview of LBM An usage of LBM Algorithm Implementation in CUDA and Optimization
More informationSPC 307 Aerodynamics. Lecture 1. February 10, 2018
SPC 307 Aerodynamics Lecture 1 February 10, 2018 Sep. 18, 2016 1 Course Materials drahmednagib.com 2 COURSE OUTLINE Introduction to Aerodynamics Review on the Fundamentals of Fluid Mechanics Euler and
More informationCFD Modelling in the Cement Industry
CFD Modelling in the Cement Industry Victor J. Turnell, P.E., Turnell Corp., USA, describes computational fluid dynamics (CFD) simulation and its benefits in applications in the cement industry. Introduction
More informationThe Lattice Boltzmann Method used for fluid flow modeling in hydraulic components
The 15th Scandinavian International Conference on Fluid Power, SICFP 17, June 7-9, 2017, Linköping, Sweden The Lattice Boltzmann Method used for fluid flow modeling in hydraulic components Bernhard Manhartsgruber
More informationVelocity and Concentration Properties of Porous Medium in a Microfluidic Device
Velocity and Concentration Properties of Porous Medium in a Microfluidic Device Rachel Freeman Department of Chemical Engineering University of Washington ChemE 499 Undergraduate Research December 14,
More informationComputational Fluid Dynamics with the Lattice Boltzmann Method KTH SCI, Stockholm
Computational Fluid Dynamics with the Lattice Boltzmann Method KTH SCI, Stockholm March 17 March 21, 2014 Florian Schornbaum, Martin Bauer, Simon Bogner Chair for System Simulation Friedrich-Alexander-Universität
More informationPost Processing, Visualization, and Sample Output
Chapter 7 Post Processing, Visualization, and Sample Output Upon successful execution of an ADCIRC run, a number of output files will be created. Specifically which files are created depends upon how the
More informationIntroduction to Computational Fluid Dynamics Mech 122 D. Fabris, K. Lynch, D. Rich
Introduction to Computational Fluid Dynamics Mech 122 D. Fabris, K. Lynch, D. Rich 1 Computational Fluid dynamics Computational fluid dynamics (CFD) is the analysis of systems involving fluid flow, heat
More informationA STUDY ON THE UNSTEADY AERODYNAMICS OF PROJECTILES IN OVERTAKING BLAST FLOWFIELDS
HEFAT2012 9 th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics 16 18 July 2012 Malta A STUDY ON THE UNSTEADY AERODYNAMICS OF PROJECTILES IN OVERTAKING BLAST FLOWFIELDS Muthukumaran.C.K.
More informationNUMERICAL 3D TRANSONIC FLOW SIMULATION OVER A WING
Review of the Air Force Academy No.3 (35)/2017 NUMERICAL 3D TRANSONIC FLOW SIMULATION OVER A WING Cvetelina VELKOVA Department of Technical Mechanics, Naval Academy Nikola Vaptsarov,Varna, Bulgaria (cvetelina.velkova1985@gmail.com)
More informationCFD modelling of thickened tailings Final project report
26.11.2018 RESEM Remote sensing supporting surveillance and operation of mines CFD modelling of thickened tailings Final project report Lic.Sc.(Tech.) Reeta Tolonen and Docent Esa Muurinen University of
More informationMeshing of flow and heat transfer problems
Meshing of flow and heat transfer problems Luyao Zou a, Zhe Li b, Qiqi Fu c and Lujie Sun d School of, Shandong University of science and technology, Shandong 266590, China. a zouluyaoxf@163.com, b 1214164853@qq.com,
More informationMultiphase flow metrology in oil and gas production: Case study of multiphase flow in horizontal tube
Multiphase flow metrology in oil and gas production: Case study of multiphase flow in horizontal tube Deliverable 5.1.2 of Work Package WP5 (Creating Impact) Authors: Stanislav Knotek Czech Metrology Institute
More informationMESHLESS SOLUTION OF INCOMPRESSIBLE FLOW OVER BACKWARD-FACING STEP
Vol. 12, Issue 1/2016, 63-68 DOI: 10.1515/cee-2016-0009 MESHLESS SOLUTION OF INCOMPRESSIBLE FLOW OVER BACKWARD-FACING STEP Juraj MUŽÍK 1,* 1 Department of Geotechnics, Faculty of Civil Engineering, University
More informationµ = Pa s m 3 The Reynolds number based on hydraulic diameter, D h = 2W h/(w + h) = 3.2 mm for the main inlet duct is = 359
Laminar Mixer Tutorial for STAR-CCM+ ME 448/548 March 30, 2014 Gerald Recktenwald gerry@pdx.edu 1 Overview Imagine that you are part of a team developing a medical diagnostic device. The device has a millimeter
More informationThe viscous forces on the cylinder are proportional to the gradient of the velocity field at the
Fluid Dynamics Models : Flow Past a Cylinder Flow Past a Cylinder Introduction The flow of fluid behind a blunt body such as an automobile is difficult to compute due to the unsteady flows. The wake behind
More informationThe Spalart Allmaras turbulence model
The Spalart Allmaras turbulence model The main equation The Spallart Allmaras turbulence model is a one equation model designed especially for aerospace applications; it solves a modelled transport equation
More informationALE Seamless Immersed Boundary Method with Overset Grid System for Multiple Moving Objects
Tenth International Conference on Computational Fluid Dynamics (ICCFD10), Barcelona,Spain, July 9-13, 2018 ICCFD10-047 ALE Seamless Immersed Boundary Method with Overset Grid System for Multiple Moving
More informationNumerical and theoretical analysis of shock waves interaction and reflection
Fluid Structure Interaction and Moving Boundary Problems IV 299 Numerical and theoretical analysis of shock waves interaction and reflection K. Alhussan Space Research Institute, King Abdulaziz City for
More informationCFD Analysis of 2-D Unsteady Flow Past a Square Cylinder at an Angle of Incidence
CFD Analysis of 2-D Unsteady Flow Past a Square Cylinder at an Angle of Incidence Kavya H.P, Banjara Kotresha 2, Kishan Naik 3 Dept. of Studies in Mechanical Engineering, University BDT College of Engineering,
More informationParallel Computation of Industrial Flows on the Cray T3D
Parallel Computation of Industrial Flows on the Cray T3D Olivier Byrde, David Cobut and Mark L. Sawley, Institut de Machines Hydrauliques et de Mécanique des Fluides, Ecole Polytechnique Fédérale de Lausanne,
More informationInvestigation of mixing chamber for experimental FGD reactor
Investigation of mixing chamber for experimental FGD reactor Jan Novosád 1,a, Petra Danová 1 and Tomáš Vít 1 1 Department of Power Engineering Equipment, Faculty of Mechanical Engineering, Technical University
More informationCFD in COMSOL Multiphysics
CFD in COMSOL Multiphysics Christian Wollblad Copyright 2017 COMSOL. Any of the images, text, and equations here may be copied and modified for your own internal use. All trademarks are the property of
More informationContinued Investigation of Small-Scale Air-Sea Coupled Dynamics Using CBLAST Data
Continued Investigation of Small-Scale Air-Sea Coupled Dynamics Using CBLAST Data Dick K.P. Yue Center for Ocean Engineering Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge,
More informationCFD design tool for industrial applications
Sixth LACCEI International Latin American and Caribbean Conference for Engineering and Technology (LACCEI 2008) Partnering to Success: Engineering, Education, Research and Development June 4 June 6 2008,
More informationSimulation of moving Particles in 3D with the Lattice Boltzmann Method
Simulation of moving Particles in 3D with the Lattice Boltzmann Method, Nils Thürey, Christian Feichtinger, Hans-Joachim Schmid Chair for System Simulation University Erlangen/Nuremberg Chair for Particle
More informationVerification and Validation in CFD and Heat Transfer: ANSYS Practice and the New ASME Standard
Verification and Validation in CFD and Heat Transfer: ANSYS Practice and the New ASME Standard Dimitri P. Tselepidakis & Lewis Collins ASME 2012 Verification and Validation Symposium May 3 rd, 2012 1 Outline
More informationModeling Evaporating Liquid Spray
Tutorial 16. Modeling Evaporating Liquid Spray Introduction In this tutorial, FLUENT s air-blast atomizer model is used to predict the behavior of an evaporating methanol spray. Initially, the air flow
More informationAshwin Shridhar et al. Int. Journal of Engineering Research and Applications ISSN : , Vol. 5, Issue 6, ( Part - 5) June 2015, pp.
RESEARCH ARTICLE OPEN ACCESS Conjugate Heat transfer Analysis of helical fins with airfoil crosssection and its comparison with existing circular fin design for air cooled engines employing constant rectangular
More informationOptimizing Bio-Inspired Flow Channel Design on Bipolar Plates of PEM Fuel Cells
Excerpt from the Proceedings of the COMSOL Conference 2010 Boston Optimizing Bio-Inspired Flow Channel Design on Bipolar Plates of PEM Fuel Cells James A. Peitzmeier *1, Steven Kapturowski 2 and Xia Wang
More informationCOMPUTATIONAL FLUID DYNAMICS ANALYSIS OF ORIFICE PLATE METERING SITUATIONS UNDER ABNORMAL CONFIGURATIONS
COMPUTATIONAL FLUID DYNAMICS ANALYSIS OF ORIFICE PLATE METERING SITUATIONS UNDER ABNORMAL CONFIGURATIONS Dr W. Malalasekera Version 3.0 August 2013 1 COMPUTATIONAL FLUID DYNAMICS ANALYSIS OF ORIFICE PLATE
More informationCFD Project Workflow Guide
CFD Project Workflow Guide Contents Select a problem with known results for proof-of-concept testing... 1 Set up and run a coarse test case... 2 Select and calibrate numerical methods... 3 Minimize & quantify
More informationCFD MODELING FOR PNEUMATIC CONVEYING
CFD MODELING FOR PNEUMATIC CONVEYING Arvind Kumar 1, D.R. Kaushal 2, Navneet Kumar 3 1 Associate Professor YMCAUST, Faridabad 2 Associate Professor, IIT, Delhi 3 Research Scholar IIT, Delhi e-mail: arvindeem@yahoo.co.in
More informationReproducibility of Complex Turbulent Flow Using Commercially-Available CFD Software
Reports of Research Institute for Applied Mechanics, Kyushu University No.150 (47 59) March 2016 Reproducibility of Complex Turbulent Using Commercially-Available CFD Software Report 1: For the Case of
More informationSimulation of Turbulent Axisymmetric Waterjet Using Computational Fluid Dynamics (CFD)
Simulation of Turbulent Axisymmetric Waterjet Using Computational Fluid Dynamics (CFD) PhD. Eng. Nicolae MEDAN 1 1 Technical University Cluj-Napoca, North University Center Baia Mare, Nicolae.Medan@cunbm.utcluj.ro
More informationPulsating flow around a stationary cylinder: An experimental study
Proceedings of the 3rd IASME/WSEAS Int. Conf. on FLUID DYNAMICS & AERODYNAMICS, Corfu, Greece, August 2-22, 2 (pp24-244) Pulsating flow around a stationary cylinder: An experimental study A. DOUNI & D.
More informationDirections: 1) Delete this text box 2) Insert desired picture here
Directions: 1) Delete this text box 2) Insert desired picture here Multi-Disciplinary Applications using Overset Grid Technology in STAR-CCM+ CD-adapco Dmitry Pinaev, Frank Schäfer, Eberhard Schreck Outline
More informationPreliminary Spray Cooling Simulations Using a Full-Cone Water Spray
39th Dayton-Cincinnati Aerospace Sciences Symposium Preliminary Spray Cooling Simulations Using a Full-Cone Water Spray Murat Dinc Prof. Donald D. Gray (advisor), Prof. John M. Kuhlman, Nicholas L. Hillen,
More informationDYNAMICS OF A VORTEX RING AROUND A MAIN ROTOR HELICOPTER
DYNAMICS OF A VORTEX RING AROUND A MAIN ROTOR HELICOPTER Katarzyna Surmacz Instytut Lotnictwa Keywords: VORTEX RING STATE, HELICOPTER DESCENT, NUMERICAL ANALYSIS, FLOW VISUALIZATION Abstract The main goal
More informationCS 231. Fluid simulation
CS 231 Fluid simulation Why Simulate Fluids? Feature film special effects Computer games Medicine (e.g. blood flow in heart) Because it s fun Fluid Simulation Called Computational Fluid Dynamics (CFD)
More informationCFD STUDY OF MIXING PROCESS IN RUSHTON TURBINE STIRRED TANKS
Third International Conference on CFD in the Minerals and Process Industries CSIRO, Melbourne, Australia 10-12 December 2003 CFD STUDY OF MIXING PROCESS IN RUSHTON TURBINE STIRRED TANKS Guozhong ZHOU 1,2,
More informationRealistic Animation of Fluids
1 Realistic Animation of Fluids Nick Foster and Dimitris Metaxas Presented by Alex Liberman April 19, 2005 2 Previous Work Used non physics-based methods (mostly in 2D) Hard to simulate effects that rely
More informationCIBSE Application Manual AM11 Building Performance Modelling Chapter 6: Ventilation Modelling
Contents Background Ventilation modelling tool categories Simple tools and estimation techniques Analytical methods Zonal network methods Computational Fluid Dynamics (CFD) Semi-external spaces Summary
More informationOn the numerical accuracy of particle dispersion simulation in operating theatres
On the numerical accuracy of particle dispersion simulation in operating theatres Wiebe Zoon 1,*, Marcel Loomans 1 and Jan Hensen 1 1 Eindhoven University of Technology, Eindhoven, the Netherlands * Corresponding
More informationDevelopment of a Maxwell Equation Solver for Application to Two Fluid Plasma Models. C. Aberle, A. Hakim, and U. Shumlak
Development of a Maxwell Equation Solver for Application to Two Fluid Plasma Models C. Aberle, A. Hakim, and U. Shumlak Aerospace and Astronautics University of Washington, Seattle American Physical Society
More informationCoupling of STAR-CCM+ to Other Theoretical or Numerical Solutions. Milovan Perić
Coupling of STAR-CCM+ to Other Theoretical or Numerical Solutions Milovan Perić Contents The need to couple STAR-CCM+ with other theoretical or numerical solutions Coupling approaches: surface and volume
More informationSimulations of the vortex in the Dellenback abrupt expansion, resembling a hydro turbine draft tube operating at part-load
Simulations of the vortex in the Dellenback abrupt expansion, resembling a hydro turbine draft tube operating at part-load H Nilsson Chalmers University of Technology, SE-412 96 Gothenburg, Sweden E-mail:
More informationModeling Evaporating Liquid Spray
Tutorial 17. Modeling Evaporating Liquid Spray Introduction In this tutorial, the air-blast atomizer model in ANSYS FLUENT is used to predict the behavior of an evaporating methanol spray. Initially, the
More informationPorous Reactor with Injection Needle
Porous Reactor with Injection Needle Introduction This model treats the flow field and species distribution in an experimental reactor for studies of heterogeneous catalysis. The model exemplifies the
More informationNavier-Stokes & Flow Simulation
Last Time? Navier-Stokes & Flow Simulation Optional Reading for Last Time: Spring-Mass Systems Numerical Integration (Euler, Midpoint, Runge-Kutta) Modeling string, hair, & cloth HW2: Cloth & Fluid Simulation
More informationAn Embedded Boundary Method with Adaptive Mesh Refinements
An Embedded Boundary Method with Adaptive Mesh Refinements Marcos Vanella and Elias Balaras 8 th World Congress on Computational Mechanics, WCCM8 5 th European Congress on Computational Methods in Applied
More informationIntroduction to ANSYS CFX
Workshop 03 Fluid flow around the NACA0012 Airfoil 16.0 Release Introduction to ANSYS CFX 2015 ANSYS, Inc. March 13, 2015 1 Release 16.0 Workshop Description: The flow simulated is an external aerodynamics
More informationNumerical Simulation Study on Aerodynamic Characteristics of the High Speed Train under Crosswind
2017 2nd International Conference on Industrial Aerodynamics (ICIA 2017) ISBN: 978-1-60595-481-3 Numerical Simulation Study on Aerodynamic Characteristics of the High Speed Train under Crosswind Fan Zhao,
More informationNumerical Investigation of Non-Newtonian Laminar Flow in Curved Tube with Insert
Numerical Investigation of Non-Newtonian Laminar Flow in Curved Tube with Insert A. Kadyyrov 1 1 Research center for power engineering problems Federal government budgetary institution of science Kazan
More informationc Fluent Inc. May 16,
Tutorial 1. Office Ventilation Introduction: This tutorial demonstrates how to model an office shared by two people working at computers, using Airpak. In this tutorial, you will learn how to: Open a new
More informationA Contact Angle Model for the Parallel Free Surface Lattice Boltzmann Method in walberla Stefan Donath (stefan.donath@informatik.uni-erlangen.de) Computer Science 10 (System Simulation) University of Erlangen-Nuremberg
More informationNUMERICAL MODELING STUDY FOR FLOW PATTERN CHANGES INDUCED BY SINGLE GROYNE
NUMERICAL MODELING STUDY FOR FLOW PATTERN CHANGES INDUCED BY SINGLE GROYNE Jungseok Ho 1, Hong Koo Yeo 2, Julie Coonrod 3, and Won-Sik Ahn 4 1 Research Assistant Professor, Dept. of Civil Engineering,
More informationNumerical Modeling Study for Fish Screen at River Intake Channel ; PH (505) ; FAX (505) ;
Numerical Modeling Study for Fish Screen at River Intake Channel Jungseok Ho 1, Leslie Hanna 2, Brent Mefford 3, and Julie Coonrod 4 1 Department of Civil Engineering, University of New Mexico, Albuquerque,
More informationHIGH PERFORMANCE COMPUTATION (HPC) FOR THE
HIGH PERFORMANCE COMPUTATION (HPC) FOR THE DEVELOPMENT OF FLUIDIZED BED TECHNOLOGIES FOR BIOMASS GASIFICATION AND CO2 CAPTURE P. Fede, H. Neau, O. Simonin Université de Toulouse; INPT, UPS ; IMFT ; 31400
More informationKeywords: CFD, aerofoil, URANS modeling, flapping, reciprocating movement
L.I. Garipova *, A.N. Kusyumov *, G. Barakos ** * Kazan National Research Technical University n.a. A.N.Tupolev, ** School of Engineering - The University of Liverpool Keywords: CFD, aerofoil, URANS modeling,
More informationA Particle Cellular Automata Model for Fluid Simulations
Annals of University of Craiova, Math. Comp. Sci. Ser. Volume 36(2), 2009, Pages 35 41 ISSN: 1223-6934 A Particle Cellular Automata Model for Fluid Simulations Costin-Radu Boldea Abstract. A new cellular-automaton
More informationSteady Flow: Lid-Driven Cavity Flow
STAR-CCM+ User Guide Steady Flow: Lid-Driven Cavity Flow 2 Steady Flow: Lid-Driven Cavity Flow This tutorial demonstrates the performance of STAR-CCM+ in solving a traditional square lid-driven cavity
More informationPreliminary investigation into two-way fluid structure interaction of heliostat wind loads Josh Wolmarans
Preliminary investigation into two-way fluid structure interaction of heliostat wind loads Josh Wolmarans Supervisor: Prof Ken Craig Clean Energy Research Group (CERG), Department of Mechanical and Aeronautical
More informationINNOVATIVE CFD FOR SUPER-COMPUTER RESULTS ON YOUR DESKTOP
INNOVATIVE CFD FOR SUPER-COMPUTER RESULTS ON YOUR DESKTOP XFlow is a next generation CFD software that uses a proprietary, particle-based, meshless approach which can easily handle traditionally complex
More informationAurélien Thinat Stéphane Cordier 1, François Cany
SimHydro 2012:New trends in simulation - Hydroinformatics and 3D modeling, 12-14 September 2012, Nice Aurélien Thinat, Stéphane Cordier, François Cany Application of OpenFOAM to the study of wave loads
More informationAdarsh Krishnamurthy (cs184-bb) Bela Stepanova (cs184-bs)
OBJECTIVE FLUID SIMULATIONS Adarsh Krishnamurthy (cs184-bb) Bela Stepanova (cs184-bs) The basic objective of the project is the implementation of the paper Stable Fluids (Jos Stam, SIGGRAPH 99). The final
More informationAn Object-Oriented Serial and Parallel DSMC Simulation Package
An Object-Oriented Serial and Parallel DSMC Simulation Package Hongli Liu and Chunpei Cai Department of Mechanical and Aerospace Engineering, New Mexico State University, Las Cruces, New Mexico, 88, USA
More informationStrömningslära Fluid Dynamics. Computer laboratories using COMSOL v4.4
UMEÅ UNIVERSITY Department of Physics Claude Dion Olexii Iukhymenko May 15, 2015 Strömningslära Fluid Dynamics (5FY144) Computer laboratories using COMSOL v4.4!! Report requirements Computer labs must
More informationMicrowell Mixing with Surface Tension
Microwell Mixing with Surface Tension Nick Cox Supervised by Professor Bruce Finlayson University of Washington Department of Chemical Engineering June 6, 2007 Abstract For many applications in the pharmaceutical
More informationHigh Performance Computing
High Performance Computing ADVANCED SCIENTIFIC COMPUTING Dr. Ing. Morris Riedel Adjunct Associated Professor School of Engineering and Natural Sciences, University of Iceland Research Group Leader, Juelich
More informationDevelopment of an Integrated Computational Simulation Method for Fluid Driven Structure Movement and Acoustics
Development of an Integrated Computational Simulation Method for Fluid Driven Structure Movement and Acoustics I. Pantle Fachgebiet Strömungsmaschinen Karlsruher Institut für Technologie KIT Motivation
More informationINVESTIGATION OF HYDRAULIC PERFORMANCE OF A FLAP TYPE CHECK VALVE USING CFD AND EXPERIMENTAL TECHNIQUE
International Journal of Mechanical Engineering and Technology (IJMET) Volume 10, Issue 1, January 2019, pp. 409 413, Article ID: IJMET_10_01_042 Available online at http://www.ia aeme.com/ijmet/issues.asp?jtype=ijmet&vtype=
More informationSolution Recording and Playback: Vortex Shedding
STAR-CCM+ User Guide 6663 Solution Recording and Playback: Vortex Shedding This tutorial demonstrates how to use the solution recording and playback module for capturing the results of transient phenomena.
More informationHigh Scalability of Lattice Boltzmann Simulations with Turbulence Models using Heterogeneous Clusters
SIAM PP 2014 High Scalability of Lattice Boltzmann Simulations with Turbulence Models using Heterogeneous Clusters C. Riesinger, A. Bakhtiari, M. Schreiber Technische Universität München February 20, 2014
More information