Materials: Droz, Chopard (book) FHP paper (print)
|
|
- Clarissa Gaines
- 7 years ago
- Views:
Transcription
1 Materials: Droz, Chopard (book) FHP paper (print)
2 Computer simulations of fluid dynamics Lecture 2: HPP, FHP Models Maciej Matyka
3 Announcement Today's class: 12:15, 518 ***be there***
4 FHP model (cellular automata) LatticeGasCUDA.mp4 By Lucas Campos
5 Poll results CFD 4/10 People know math well Connection to fluid dynamics is loose One person knows ~Navier-Stokes eqs. Archimedes Law is more or less known Visualization software is not known (Mathematica, Gnuplot, Python?) 1 VisIt Motivations: various, from nothing, coupled fluid-dem solvers to general want to learn fluid solvers
6 Lecture goal In: I don't know what CFD is, and I have no idea how to write simple fluid solver. Out: I know how to write fluid solver using CFD, techniques, I know a few methods, I know how they work and what they are capable of. I know how to use visualization tool(s), I have two codes ready to use (written by myself). I know there are more sophisticated methods and software around that I can use for more complicated problems.
7 Lecture list 1 Motivation (part 1): Fluid dynamics, Turbulence, Lattice Gas automata (our work, technical): FHP5 (Diffusion), HPP, FHP models, part 1, Lattice Gas automata (technical, review): FHP, review, part 2, (17.03 Lecture cancelled) 4 Motivation (part 2): Review fluid dynamics & effects (24.03) 5 CFD in Wrocław, Workshop, 31 double lecture ( 9:30 14:00 ) 6 Navier-Stokes equations (origin, math, analytics, millenium problem) 7 Motivation, Navier-Stokes solvers: review 8 Classification of PDE + solutions (Waves, Laplace, Poisson, Finite Differences) 9 Motivation,The MAC Method (Finite Difference scheme + review) The MAC Method (Implementation) 12 Finite Volume Methods (Overview, discretization, Algorithms, SIMPLE(R)) 14 Motivation, Smoothed Particle Hydrodynamics (SPH), Review, Theory Implementation 15 Motivation, LBM, Review, Theory Implementation 16 Motivation, Software: Paraview, VisIT, OpenFOAM, Palabos, Sailfish etc. (Review) The MAC Method (Free surfaces, markers, boundary conditions)
8 Lecture list 1 Motivation (part 1): Fluid dynamics, Turbulence, Lattice Gas automata (our work, technical): FHP5 (Diffusion), HPP, FHP models, part 1, Lattice Gas automata (technical, review): FHP, review, part 2, (17.03 class cancelled) 4 Motivation (part 2): Review fluid dynamics & effects (24.03) 5 CFD in Wrocław, Workshop, 31 double lecture ( 9:30 14:00 ) 6 Navier-Stokes equations (origin, math, analytics, millenium problem) 7 Motivation, Navier-Stokes solvers: review 8 Classification of PDE + solutions (Waves, Laplace, Poisson, Finite Differences) 9 Motivation,The MAC Method (Finite Difference scheme + review) The MAC Method (Implementation) 12 Finite Volume Methods (Overview, discretization, Algorithms, SIMPLE(R)) 14 Motivation, Smoothed Particle Hydrodynamics (SPH), Review, Theory Implementation 15 Motivation, LBM, Review, Theory Implementation 16 Motivation, Software: Paraview, VisIT, OpenFOAM, Palabos, Sailfish etc. (Review) The MAC Method (Free surfaces, markers, boundary conditions)
9 Lecture list 1 Motivation (part 1): Fluid dynamics, Turbulence, Lattice Gas automata (our work, technical): FHP5 (Diffusion), HPP, FHP models, part 1, Lattice Gas automata (technical, review): FHP, review, part 2, (17.03 class cancelled) 4 Motivation (part 2): Review fluid dynamics & effects (24.03) 5 CFD in Wrocław, Workshop, 31 double lecture ( 9:30 14:00 ) 6 Navier-Stokes equations (origin, math, analytics, millenium problem) 7 Motivation, Navier-Stokes solvers: review 8 Classification of PDE + solutions (Waves, Laplace, Poisson, Finite Differences) 9 Motivation,The MAC Method (Finite Difference scheme + review) The MAC Method (Implementation) 12 Finite Volume Methods (Overview, discretization, Algorithms, SIMPLE(R)) 14 Motivation, Smoothed Particle Hydrodynamics (SPH), Review, Theory Implementation 15 Motivation, LBM, Review, Theory Implementation 16 Motivation, Software: Paraview, VisIT, OpenFOAM, Palabos, Sailfish etc. (Review) The MAC Method (Free surfaces, markers, boundary conditions)
10 Lecture list 1 Motivation (part 1): Fluid dynamics, Turbulence, Lattice Gas automata (our work, technical): FHP5 (Diffusion), HPP, FHP models, part 1, Lattice Gas automata (technical, review): FHP, review, part 2, (17.03 class cancelled) 4 Motivation (part 2): Review fluid dynamics & effects (24.03) 5 CFD in Wrocław, Workshop, 31 double lecture ( 9:30 14:00 ) 6 Navier-Stokes equations (origin, math, analytics, millenium problem) 7 Motivation, Navier-Stokes solvers: review 8 Classification of PDE + solutions (Waves, Laplace, Poisson, Finite Differences) 9 Motivation,The MAC Method (Finite Difference scheme + review) The MAC Method (Implementation) 12 Finite Volume Methods (Overview, discretization, Algorithms, SIMPLE(R)) 14 Motivation, Smoothed Particle Hydrodynamics (SPH), Review, Theory Implementation 15 Motivation, LBM, Review, Theory Implementation 16 Motivation, Software: Paraview, VisIT, OpenFOAM, Palabos, Sailfish etc. (Review) The MAC Method (Free surfaces, markers, boundary conditions)
11 Lecture list 1 Motivation (part 1): Fluid dynamics, Turbulence, Lattice Gas automata (our work, technical): FHP5 (Diffusion), HPP, FHP models, part 1, Lattice Gas automata (technical, review): FHP, review, part 2, (17.03 class cancelled) 4 Motivation (part 2): Review fluid dynamics & effects (24.03) 5 CFD in Wrocław, Workshop, 31 double lecture ( 9:30 14:00 ) 6 Navier-Stokes equations (origin, math, analytics, millenium problem) 7 Motivation, Navier-Stokes solvers: review 8 Classification of PDE + solutions (Waves, Laplace, Poisson, Finite Differences) 9 Motivation,The MAC Method (Finite Difference scheme + review) The MAC Method (Implementation) 12 Finite Volume Methods (Overview, discretization, Algorithms, SIMPLE(R)) 14 Motivation, Smoothed Particle Hydrodynamics (SPH), Review, Theory Implementation 15 Motivation, LBM, Review, Theory Implementation 16 Motivation, Software: Paraview, VisIT, OpenFOAM, Palabos, Sailfish etc. (Review) The MAC Method (Free surfaces, markers, boundary conditions)
12 Lecture list 1 Motivation (part 1): Fluid dynamics, Turbulence, Lattice Gas automata (our work, technical): FHP5 (Diffusion), HPP, FHP models, part 1, Lattice Gas automata (technical, review): FHP, review, part 2, (17.03 class cancelled) 4 Motivation (part 2): Review fluid dynamics & effects (24.03) 5 CFD in Wrocław, Workshop, 31 double lecture ( 9:30 14:00 ) 6 Navier-Stokes equations (origin, math, analytics, millenium problem) 7 Motivation, Navier-Stokes solvers: review 8 Classification of PDE + solutions (Waves, Laplace, Poisson, Finite Differences) 9 Motivation,The MAC Method (Finite Difference scheme + review) The MAC Method (Implementation) 12 Finite Volume Methods (Overview, discretization, Algorithms, SIMPLE(R)) 14 Motivation, Smoothed Particle Hydrodynamics (SPH), Review, Theory Implementation 15 Motivation, LBM, Review, Theory Implementation 16 Motivation, Software: Paraview, VisIT, OpenFOAM, Palabos, Sailfish etc. (Review) The MAC Method (Free surfaces, markers, boundary conditions)
13 Lecture list 1 Motivation (part 1): Fluid dynamics, Turbulence, Lattice Gas automata (our work, technical): FHP5 (Diffusion), HPP, FHP models, part 1, Lattice Gas automata (technical, review): FHP, review, part 2, (17.03 class cancelled) 4 Motivation (part 2): Review fluid dynamics & effects (24.03) 5 CFD in Wrocław, Workshop, 31 double lecture ( 9:30 14:00 ) 6 Navier-Stokes equations (origin, math, analytics, millenium problem) 7 Motivation, Navier-Stokes solvers: review 8 Classification of PDE + solutions (Waves, Laplace, Poisson, Finite Differences) 9 Motivation,The MAC Method (Finite Difference scheme + review) The MAC Method (Implementation) 12 Finite Volume Methods (Overview, discretization, Algorithms, SIMPLE(R)) 14 Motivation, Smoothed Particle Hydrodynamics (SPH), Review, Theory Implementation 15 Motivation, LBM, Review, Theory Implementation 16 Motivation, Software: Paraview, VisIT, OpenFOAM, Palabos, Sailfish etc. (Review) The MAC Method (Free surfaces, markers, boundary conditions)
14 Lecture list 1 Motivation (part 1): Fluid dynamics, Turbulence, Lattice Gas automata (our work, technical): FHP5 (Diffusion), HPP, FHP models, part 1, Lattice Gas automata (technical, review): FHP, review, part 2, (17.03 class cancelled) 4 Motivation (part 2): Review fluid dynamics & effects (24.03) 5 CFD in Wrocław, Workshop, 31 double lecture ( 9:30 14:00 ) 6 Navier-Stokes equations (origin, math, analytics, millenium problem) 7 Motivation, Navier-Stokes solvers: review 8 Classification of PDE + solutions (Waves, Laplace, Poisson, Finite Differences) 9 Motivation,The MAC Method (Finite Difference scheme + review) The MAC Method (Implementation) 12 Finite Volume Methods (Overview, discretization, Algorithms, SIMPLE(R)) 14 Motivation, Smoothed Particle Hydrodynamics (SPH), Review, Theory Implementation 15 Motivation, LBM, Review, Theory Implementation 16 Motivation, Software: Paraview, VisIT, OpenFOAM, Palabos, Sailfish etc. (Review) The MAC Method (Free surfaces, markers, boundary conditions)
15 CFD in Wrocław 31. March, Room:?, M. Borna 9
16 5 speakers 4 hours What, who, where? (CFD in Wrocław) 1st event of this kind here! UWr, PIG, PWr, Vratis
17 Organization: Maciej Matyka, Jarosław Gołembiewski (WfiA, UWr) Ziemowit Malecha (Pwr) Andrzej Kosior (Pwr, Vratis)
18 CFD Course details 6 ECTS 165 hours (60 lecture + class) That gives 105 hours of self study 7 hours / week 1 working day each week for CFD course (!)
19 Classes Projects 1st project: FHP + fluid flow problem (solution + report) Deadline 1: 23. March (working prototype) Deadline 2: 13. April (hydrodynamics + report) 2nd project: One of: MAC, SIMPLE, LBM, SPH fluid flow problem (solution + report) Deadline: 8. June (report) Presentations (visits): Date: 9. June ( 15 minutes: aim, solver, tech, results)
20 Exam Oral exam, 16th June, 9am, 521 With hand (detailed questions)
21 Today Lattice Gas Methods
22 CFD Methods Macroscale (continuum) Navier Stokes Equations (NSE) Finite Difference Method (FDM) Finite Volume Method (FVM) Finite Element Method (FEM) Smoothed Particle Hydrodynamics (SPH) Dissipative Particle Dynamics (DPD) The Lattice Boltzmann Method (LBM) Lattice Gas Automata (LGA) Molecular Dynamics (MD) Microscale (atoms)
23 CFD Methods Macroscale (continuum) Navier Stokes Equations (NSE) Finite Difference Method (FDM) Finite Volume Method (FVM) Finite Element Method (FEM) Smoothed Particle Hydrodynamics (SPH) Dissipative Particle Dynamics (DPD) The Lattice Boltzmann Method (LBM) Lattice Gas Automata (LGA) Molecular Dynamics (MD) Microscale (atoms)
24 Navier-Stokes equations
25 Molecular dynamics (interactions) Too many atoms required
26 CFD Methods Macroscale (continuum) Navier Stokes Equations (NSE) Finite Difference Method (FDM) Finite Volume Method (FVM) Finite Element Method (FEM) Smoothed Particle Hydrodynamics (SPH) Dissipative Particle Dynamics (DPD) The Lattice Boltzmann Method (LBM) Lattice Gas Automata, HPP, FHP (LGA) Molecular Dynamics (MD) Microscale (atoms)
27 Metody CFD Navier Stokes Equations (NSE) Finite Difference Method (FDM) Finite Volume Method (FVM) Finite Element Method (FEM) Smoothed Particle Hydrodynamics (SPH) Dissipative Particle Dynamics (DPD) The Lattice Boltzmann Method (LBM) Lattice Gas Automata, HPP, FHP (LGA) Molecular Dynamics (MD) Lecture 2
28 Lagrangian and Eulerian description of Fluids. (movie MIT B&W)
29 turning point :)
30
31 Our work (2007 paper, J. Appl. Phys.) Use of FHP in research Applications in building materials Simple model yet complex analysis (anomalous diffusion) Our early work in CFD area Fired-clay brick saturation
32 (** fig Świerk **)
33
34 - Profiles do not collapse into one curve with ^ 0.5 scaling - They represent process faster than diffusion
35 Problem
36 (ang. moisture pol. wilgoć)
37 Our questions: is the process diffusive with changing C? Hydrodynamics?
38
39 - study concentration front dynamics - scatterers - time evolution (LGA)
40 Brief description of the model - LGA (here FHP5) rules - Steps: 1. Propagation. 2. Collisions.
41 Collision with scatterers
42 C front propagation time
43 Concentration profiles Matyka, M. and Koza, Z., Spreading of a density front in the Kuentz-Lavallee model of porous media, J. Phys. D: Appl. Phys. 40, (2007)
44 Concentration profiles Matyka, M. and Koza, Z., Spreading of a density front in the Kuentz-Lavallee model of porous media, J. Phys. D: Appl. Phys. 40, (2007)
45 (shortcut) Matyka, M. and Koza, Z., Spreading of a density front in the Kuentz-Lavallee model of porous media, J. Phys. D: Appl. Phys. 40, (2007)
46
47 Metody CFD Navier Stokes Equations (NSE) Finite Difference Method (FDM) Finite Volume Method (FVM) Finite Element Method (FEM) Smoothed Particle Hydrodynamics (SPH) Dissipative Particle Dynamics (DPD) The Lattice Boltzmann Method (LBM) Lattice Gas Automata, HPP, FHP (LGA) Molecular Dynamics (MD)
48 HPP gas model Gas of interacting particles Momentum conservation (collisions) Mass conservation Ballistic motion inbetween collisions
49 Cellular Automata Wolfram rules Sand model Game of Life +sand wikipedia, GameOfLife
50 HPP in physics (137 citations at pra.aps.org)
51 Review Chopard B., Droz. M. Cellular automata of physical systems, Cambridge University Press, 1998 (show printed)
52 Discrete lattice & velocities 1 particle traveling towards node from a given direction
53 Microscopic HPP rules Ballistic motion Collision 1 Collision 2
54 Basics HPP Two dimensional lattice (discrete) 1 particle from one direction gives 4 bit information at a node s(r,t) = (1011) s(r,t) = (1000) s(r,t) = (0110) 4 bits is a number 0-16
55 Byte code
56 HPP Algorithm Collision step Translation step ballistic motion along discrete velocity vectors
57 Model HPP - zjawisko rozchodzenia się fali gęstości ( Animacja?)
58 HPP (simularion + u field) HPP liquid simulation.mp4
59 Results HPP ( program WINDOWS)
60 Wyniki HPP problemy
61 Model HPP problem (symmetry)
62 Model HPP problem (symmetry)
63 Model HPP - zjawisko rozchodzenia się fali gęstości
64 Model FHP (1198 cytowań wg prl.aps.org) (2748 wg google scholar)
65 Model FHP Wprowadzenie sieci trójkątnej
66 Model FHP Wprowadzenie sieci trójkątnej
67 FHP models vary Different collision set: FHP I, II, III FHP5 (+ rest particle) Collision number affects model viscosity James Maxwell Buick (1997), Lattice Boltzmann Methods in Interfacial Wave Modelling. PhD Thesis, University of Edinburgh.
68 Boundaries James Maxwell Buick (1997), Lattice Boltzmann Methods in Interfacial Wave Modelling. PhD Thesis, University of Edinburgh.
69 HPP, a FHP Sebastian Szczecina, Własności hydrodynamiczne modelu gazu sieciowego FHP-III, Praca Magisterska 2008
70 FHP cellular automata.mp4 Samo Kralj
71 FHP (CUDA) LatticeGasCUDA.mp4 By Lucas Campos
72 End of part 1 next week : - FHP implementation details - applications of FHP (review)
FLUID MECHANICS IM0235 DIFFERENTIAL EQUATIONS - CB0235 2014_1
COURSE CODE INTENSITY PRE-REQUISITE CO-REQUISITE CREDITS ACTUALIZATION DATE FLUID MECHANICS IM0235 3 LECTURE HOURS PER WEEK 48 HOURS CLASSROOM ON 16 WEEKS, 32 HOURS LABORATORY, 112 HOURS OF INDEPENDENT
More informationOpenFOAM Optimization Tools
OpenFOAM Optimization Tools Henrik Rusche and Aleks Jemcov h.rusche@wikki-gmbh.de and a.jemcov@wikki.co.uk Wikki, Germany and United Kingdom OpenFOAM Optimization Tools p. 1 Agenda Objective Review optimisation
More informationNUMERICAL SIMULATION OF REGULAR WAVES RUN-UP OVER SLOPPING BEACH BY OPEN FOAM
NUMERICAL SIMULATION OF REGULAR WAVES RUN-UP OVER SLOPPING BEACH BY OPEN FOAM Parviz Ghadimi 1*, Mohammad Ghandali 2, Mohammad Reza Ahmadi Balootaki 3 1*, 2, 3 Department of Marine Technology, Amirkabir
More informationHydrodynamics of stellar explosions
Some basic hydrodynamics The art of CFD Hydrodynamic challenges in stellar explosions Hydrodynamics of stellar explosions General: Literature L.D.Landau & E.M.Lifshitz, Fluid Mechanics, Pergamon (1959)
More informationContents. Microfluidics - Jens Ducrée Physics: Navier-Stokes Equation 1
Contents 1. Introduction 2. Fluids 3. Physics of Microfluidic Systems 4. Microfabrication Technologies 5. Flow Control 6. Micropumps 7. Sensors 8. Ink-Jet Technology 9. Liquid Handling 10.Microarrays 11.Microreactors
More informationTWO-DIMENSIONAL FINITE ELEMENT ANALYSIS OF FORCED CONVECTION FLOW AND HEAT TRANSFER IN A LAMINAR CHANNEL FLOW
TWO-DIMENSIONAL FINITE ELEMENT ANALYSIS OF FORCED CONVECTION FLOW AND HEAT TRANSFER IN A LAMINAR CHANNEL FLOW Rajesh Khatri 1, 1 M.Tech Scholar, Department of Mechanical Engineering, S.A.T.I., vidisha
More informationDifferential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation
Differential Relations for Fluid Flow In this approach, we apply our four basic conservation laws to an infinitesimally small control volume. The differential approach provides point by point details of
More informationModel of a flow in intersecting microchannels. Denis Semyonov
Model of a flow in intersecting microchannels Denis Semyonov LUT 2012 Content Objectives Motivation Model implementation Simulation Results Conclusion Objectives A flow and a reaction model is required
More informationNUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES
Vol. XX 2012 No. 4 28 34 J. ŠIMIČEK O. HUBOVÁ NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES Jozef ŠIMIČEK email: jozef.simicek@stuba.sk Research field: Statics and Dynamics Fluids mechanics
More informationUse of OpenFoam in a CFD analysis of a finger type slug catcher. Dynaflow Conference 2011 January 13 2011, Rotterdam, the Netherlands
Use of OpenFoam in a CFD analysis of a finger type slug catcher Dynaflow Conference 2011 January 13 2011, Rotterdam, the Netherlands Agenda Project background Analytical analysis of two-phase flow regimes
More informationParallel 3D Image Segmentation of Large Data Sets on a GPU Cluster
Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster Aaron Hagan and Ye Zhao Kent State University Abstract. In this paper, we propose an inherent parallel scheme for 3D image segmentation
More informationCurriculum Vitae. George Breyiannis. Mechanical Engineer, PhD
Curriculum Vitae George Breyiannis Mechanical Engineer, PhD Sep 2006 Personal Nationality: Greek/Australian Place/Date of birth: Melbourne Australia, March 13, 1968. Marital status: Married, two children.
More informationExpress Introductory Training in ANSYS Fluent Lecture 1 Introduction to the CFD Methodology
Express Introductory Training in ANSYS Fluent Lecture 1 Introduction to the CFD Methodology Dimitrios Sofialidis Technical Manager, SimTec Ltd. Mechanical Engineer, PhD PRACE Autumn School 2013 - Industry
More informationModeling of Earth Surface Dynamics and Related Problems Using OpenFOAM
CSDMS 2013 Meeting Modeling of Earth Surface Dynamics and Related Problems Using OpenFOAM Xiaofeng Liu, Ph.D., P.E. Assistant Professor Department of Civil and Environmental Engineering University of Texas
More informationGraduate Certificate Program in Energy Conversion & Transport Offered by the Department of Mechanical and Aerospace Engineering
Graduate Certificate Program in Energy Conversion & Transport Offered by the Department of Mechanical and Aerospace Engineering Intended Audience: Main Campus Students Distance (online students) Both Purpose:
More informationME6130 An introduction to CFD 1-1
ME6130 An introduction to CFD 1-1 What is CFD? Computational fluid dynamics (CFD) is the science of predicting fluid flow, heat and mass transfer, chemical reactions, and related phenomena by solving numerically
More informationContents. Microfluidics - Jens Ducrée Physics: Fluid Dynamics 1
Contents 1. Introduction 2. Fluids 3. Physics of Microfluidic Systems 4. Microfabrication Technologies 5. Flow Control 6. Micropumps 7. Sensors 8. Ink-Jet Technology 9. Liquid Handling 10.Microarrays 11.Microreactors
More informationCFD and wave and current induced loads on offshore wind turbines
CFD and wave and current induced loads on offshore wind turbines O. M. Faltinsen and M. Greco, CeSOS, NTNU SPH predictions by CNR-Insean Relevant offshore wind turbines Relevant hydrodynamic problems are
More informationBasic Principles in Microfluidics
Basic Principles in Microfluidics 1 Newton s Second Law for Fluidics Newton s 2 nd Law (F= ma) : Time rate of change of momentum of a system equal to net force acting on system!f = dp dt Sum of forces
More informationFluid Dynamics and the Navier-Stokes Equation
Fluid Dynamics and the Navier-Stokes Equation CMSC498A: Spring 12 Semester By: Steven Dobek 5/17/2012 Introduction I began this project through a desire to simulate smoke and fire through the use of programming
More informationOpenFOAM Workshop. Yağmur Gülkanat Res.Assist.
OpenFOAM Workshop Yağmur Gülkanat Res.Assist. Introduction to OpenFOAM What is OpenFOAM? FOAM = Field Operation And Manipulation OpenFOAM is a free-to-use open-source numerical simulation software with
More informationwalberla: A software framework for CFD applications
walberla: A software framework for CFD applications U. Rüde, S. Donath, C. Feichtinger, K. Iglberger, F. Deserno, M. Stürmer, C. Mihoubi, T. Preclic, D. Haspel (all LSS Erlangen), N. Thürey (LSS Erlangen/
More informationAnalysis and its Applications. A unique opportunity for fully funded PhD study in Edinburgh in all areas of analysis and its applications.
A unique opportunity for fully funded PhD study in Edinburgh in all areas of analysis and its applications. A collaborative programme with joint degree from both Edinburgh and Heriot-Watt Universities.
More informationComputational Fluid Dynamics (CFD) and Multiphase Flow Modelling. Associate Professor Britt M. Halvorsen (Dr. Ing) Amaranath S.
Computational Fluid Dynamics (CFD) and Multiphase Flow Modelling Associate Professor Britt M. Halvorsen (Dr. Ing) Amaranath S. Kumara (PhD Student), PO. Box 203, N-3901, N Porsgrunn, Norway What is CFD?
More informationMathematics Discrete Mathematics (F06-S07), Finite Mathematics (F00-S01, S07), Intermediate Algebra
Curriculum Vitae J.F. (Jim) Nystrom, Ph.D. Visiting Assistant Professor School of Natural Sciences and Mathematics Shepherd University Shepherdstown, WV 25443-3210 Research Interest Areas Algorithm design
More information240EQ014 - Transportation Science
Coordinating unit: 240 - ETSEIB - Barcelona School of Industrial Engineering Teaching unit: 713 - EQ - Department of Chemical Engineering Academic year: Degree: 2015 MASTER'S DEGREE IN CHEMICAL ENGINEERING
More informationSelf Financed One Week Training
Self Financed One Week Training On Computational Fluid Dynamics (CFD) with OpenFOAM December 14 20, 2015 (Basic Training: 3days, Advanced Training: 5days and Programmer Training: 7days) Organized by Department
More informationBoundary Conditions in lattice Boltzmann method
Boundar Conditions in lattice Boltzmann method Goncalo Silva Department of Mechanical Engineering Instituto Superior Técnico (IST) Lisbon, Portugal Outline Introduction 1 Introduction Boundar Value Problems
More informationMEL 807 Computational Heat Transfer (2-0-4) Dr. Prabal Talukdar Assistant Professor Department of Mechanical Engineering IIT Delhi
MEL 807 Computational Heat Transfer (2-0-4) Dr. Prabal Talukdar Assistant Professor Department of Mechanical Engineering IIT Delhi Time and Venue Course Coordinator: Dr. Prabal Talukdar Room No: III, 357
More informationWhich strategy to move the mesh in the Computational Fluid Dynamic code OpenFOAM
Which strategy to move the mesh in the Computational Fluid Dynamic code OpenFOAM Christophe Kassiotis April 12, 2008 École Normale Supérieure de Cachan, Laboratoire de Mécanique et Technologies (LMT) Secteur
More informationTHE CFD SIMULATION OF THE FLOW AROUND THE AIRCRAFT USING OPENFOAM AND ANSA
THE CFD SIMULATION OF THE FLOW AROUND THE AIRCRAFT USING OPENFOAM AND ANSA Adam Kosík Evektor s.r.o., Czech Republic KEYWORDS CFD simulation, mesh generation, OpenFOAM, ANSA ABSTRACT In this paper we describe
More informationFluid-Induced Material Transport: A Volume Averaged Approach to Modelling in SPH
Fluid-Induced Material Transport: A Volume Averaged Approach to Modelling in SPH Vinay Kumar SPH Workshop, 30.06. 01.07.2014, Karlsruhe www.baw.de Outline Motivation Model concept Groundwater model SPH
More informationO.F.Wind Wind Site Assessment Simulation in complex terrain based on OpenFOAM. Darmstadt, 27.06.2012
O.F.Wind Wind Site Assessment Simulation in complex terrain based on OpenFOAM Darmstadt, 27.06.2012 Michael Ehlen IB Fischer CFD+engineering GmbH Lipowskystr. 12 81373 München Tel. 089/74118743 Fax 089/74118749
More informationDivergence-Free Elements for Incompressible Flow on Cartesian Grids
Divergence-Free Elements for Incompressible Flow on Cartesian Grids Tobias Neckel, Marion Bendig, Hans-Joachim Bungartz, Miriam Mehl, and Christoph Zenger, Fakultät für Informatik TU München Outline The
More informationCFD modelling of floating body response to regular waves
CFD modelling of floating body response to regular waves Dr Yann Delauré School of Mechanical and Manufacturing Engineering Dublin City University Ocean Energy Workshop NUI Maynooth, October 21, 2010 Table
More informationHEAT AND MASS TRANSFER
MEL242 HEAT AND MASS TRANSFER Prabal Talukdar Associate Professor Department of Mechanical Engineering g IIT Delhi prabal@mech.iitd.ac.in MECH/IITD Course Coordinator: Dr. Prabal Talukdar Room No: III,
More informationN 1. (q k+1 q k ) 2 + α 3. k=0
Teoretisk Fysik Hand-in problem B, SI1142, Spring 2010 In 1955 Fermi, Pasta and Ulam 1 numerically studied a simple model for a one dimensional chain of non-linear oscillators to see how the energy distribution
More informationCFD Based Air Flow and Contamination Modeling of Subway Stations
CFD Based Air Flow and Contamination Modeling of Subway Stations Greg Byrne Center for Nonlinear Science, Georgia Institute of Technology Fernando Camelli Center for Computational Fluid Dynamics, George
More informationOpenFOAM simulations of the Turbulent Flow in a Rod Bundle with Mixing Vanes
OpenFOAM simulations of the Turbulent Flow in a Rod Bundle with Mixing Vanes ABSTRACT Blaž Mikuž Reactor Engineering Division, Jozef Stefan Institute, Jamova cesta 39 SI-1000 Ljubljana, Slovenia blaz.mikuz@ijs.si
More informationDistance Learning Program
Distance Learning Program Leading To Master of Engineering or Master of Science In Mechanical Engineering Typical Course Presentation Format Program Description Clarkson University currently offers a Distance
More informationApplication of a Tightly-Coupled CFD/6-DOF Solver For Simulating Offshore Wind Turbine Platforms
Application of a Tightly-Coupled CFD/6-DOF Solver For Simulating Offshore Wind Turbine Platforms Alexander J. Dunbar 1, Brent A. Craven 1, Eric G. Paterson 2, and James G. Brasseur 1 1 Penn State University;
More informationPHYS 1624 University Physics I. PHYS 2644 University Physics II
PHYS 1624 Physics I An introduction to mechanics, heat, and wave motion. This is a calculus- based course for Scientists and Engineers. 4 hours (3 lecture/3 lab) Prerequisites: Credit for MATH 2413 (Calculus
More informationCFD Application on Food Industry; Energy Saving on the Bread Oven
Middle-East Journal of Scientific Research 13 (8): 1095-1100, 2013 ISSN 1990-9233 IDOSI Publications, 2013 DOI: 10.5829/idosi.mejsr.2013.13.8.548 CFD Application on Food Industry; Energy Saving on the
More informationDifferential Balance Equations (DBE)
Differential Balance Equations (DBE) Differential Balance Equations Differential balances, although more complex to solve, can yield a tremendous wealth of information about ChE processes. General balance
More informationQuality and Reliability in CFD
Quality and Reliability in CFD Open Source Challenges Hrvoje Jasak Wikki Ltd, United Kingdom Faculty of Mechanical Engineering and Naval Architecture University of Zagreb, Croatia Quality and Reliability
More informationAerodynamic Department Institute of Aviation. Adam Dziubiński CFD group FLUENT
Adam Dziubiński CFD group IoA FLUENT Content Fluent CFD software 1. Short description of main features of Fluent 2. Examples of usage in CESAR Analysis of flow around an airfoil with a flap: VZLU + ILL4xx
More informationInteractive simulation of an ash cloud of the volcano Grímsvötn
Interactive simulation of an ash cloud of the volcano Grímsvötn 1 MATHEMATICAL BACKGROUND Simulating flows in the atmosphere, being part of CFD, is on of the research areas considered in the working group
More informationGraphics. Computer Animation 고려대학교 컴퓨터 그래픽스 연구실. kucg.korea.ac.kr 1
Graphics Computer Animation 고려대학교 컴퓨터 그래픽스 연구실 kucg.korea.ac.kr 1 Computer Animation What is Animation? Make objects change over time according to scripted actions What is Simulation? Predict how objects
More informationCFD Simulation of Subcooled Flow Boiling using OpenFOAM
Research Article International Journal of Current Engineering and Technology E-ISSN 2277 4106, P-ISSN 2347-5161 2014 INPRESSCO, All Rights Reserved Available at http://inpressco.com/category/ijcet CFD
More informationComputational fluid dynamics (CFD) 9 th SIMLAB Course
Computational fluid dnamics (CFD) 9 th SIMLAB Course Janos Benk October 3-9, Janos Benk: Computational fluid dnamics (CFD) www5.in.tum.de/wiki/inde.php/lab_course_computational_fluid_dnamics_-_summer_
More informationCFD: What is it good for?
CFD: What is it good for? Tom O Mahoney TNO Fluid Dynamics Introduction to CFD CFD - Computational Fluid Dynamics Computational the using of computers to simulate the physics of fluids Fluid Either gas
More informationDevelopment of Numerical Algorithm Based on a Modified Equation of Fluid Motion with Application to Turbomachinery Flow
Development of Numerical Algorithm Based on a Modified Equation of Fluid Motion with Application to Turbomachinery Flow Von der Fakultät für Ingenieurwissenschaften, Abteilung Maschinenbau der Universität
More informationScalable coupling of Molecular Dynamics (MD) and Direct Numerical Simulation (DNS) of multi-scale flows
Scalable coupling of Molecular Dynamics (MD) and Direct Numerical Simulation (DNS) of multi-scale flows Lucian Anton 1, Edward Smith 2 1 Numerical Algorithms Group Ltd, Wilkinson House, Jordan Hill Road,
More informationFLUID DYNAMICS. Intrinsic properties of fluids. Fluids behavior under various conditions
FLUID DYNAMICS Intrinsic properties of fluids Fluids behavior under various conditions Methods by which we can manipulate and utilize the fluids to produce desired results TYPES OF FLUID FLOW Laminar or
More informationAn Introduction to Hydrocode Modeling. Gareth S. Collins
An Introduction to Hydrocode Modeling Gareth S. Collins August 2, 2002 1 Introduction The hydrocode is a computational tool for modeling the behavior of continuous media. In its purest sense, a hydrocode
More informationDesign and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms
Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms Amani AlOnazi, David E. Keyes, Alexey Lastovetsky, Vladimir Rychkov Extreme Computing Research Center,
More informationEnergy Transport. Focus on heat transfer. Heat Transfer Mechanisms: Conduction Radiation Convection (mass movement of fluids)
Energy Transport Focus on heat transfer Heat Transfer Mechanisms: Conduction Radiation Convection (mass movement of fluids) Conduction Conduction heat transfer occurs only when there is physical contact
More informationLecture 16 - Free Surface Flows. Applied Computational Fluid Dynamics
Lecture 16 - Free Surface Flows Applied Computational Fluid Dynamics Instructor: André Bakker http://www.bakker.org André Bakker (2002-2006) Fluent Inc. (2002) 1 Example: spinning bowl Example: flow in
More informationHPC Deployment of OpenFOAM in an Industrial Setting
HPC Deployment of OpenFOAM in an Industrial Setting Hrvoje Jasak h.jasak@wikki.co.uk Wikki Ltd, United Kingdom PRACE Seminar: Industrial Usage of HPC Stockholm, Sweden, 28-29 March 2011 HPC Deployment
More informationCFD SIMULATION OF IPR-R1 TRIGA SUBCHANNELS FLUID FLOW
2013 International Nuclear Atlantic Conference - INAC 2013 Recife, PE, Brazil, November 24-29, 2013 ASSOCIAÇÃO BRASILEIRA DE ENERGIA NUCLEAR - ABEN ISBN: 978-85-99141-05-2 CFD SIMULATION OF IPR-R1 TRIGA
More informationLecture 6 - Boundary Conditions. Applied Computational Fluid Dynamics
Lecture 6 - Boundary Conditions Applied Computational Fluid Dynamics Instructor: André Bakker http://www.bakker.org André Bakker (2002-2006) Fluent Inc. (2002) 1 Outline Overview. Inlet and outlet boundaries.
More informationOpenFOAM Opensource and CFD
OpenFOAM Opensource and CFD Andrew King Department of Mechanical Engineering Curtin University Outline What is Opensource Software OpenFOAM Overview Utilities, Libraries and Solvers Data Formats The CFD
More informationINTRODUCTION TO FLUID MECHANICS
INTRODUCTION TO FLUID MECHANICS SIXTH EDITION ROBERT W. FOX Purdue University ALAN T. MCDONALD Purdue University PHILIP J. PRITCHARD Manhattan College JOHN WILEY & SONS, INC. CONTENTS CHAPTER 1 INTRODUCTION
More informationA Guide to the free mesh program Discretizer with OpenFOAM for CFD (Computational Fluid Dynamics)
Discretizer Manual Release date 09/01/10 Side 1 of 13 A Guide to the free mesh program Discretizer with OpenFOAM for CFD (Computational Fluid Dynamics) Homepage: http://www.discretizer.org/ Creator of
More informationComputational Modeling of Wind Turbines in OpenFOAM
Computational Modeling of Wind Turbines in OpenFOAM Hamid Rahimi hamid.rahimi@uni-oldenburg.de ForWind - Center for Wind Energy Research Institute of Physics, University of Oldenburg, Germany Outline Computational
More informationNumerical Analysis of the Jeans Instability
June 15, 2010 Background Goal Refine our understanding of Jeans Length and its relation to astrophysical simulations. Currently, it is widely accepted that one needs four cells per Jeans Length to get
More informationPaper Pulp Dewatering
Paper Pulp Dewatering Dr. Stefan Rief stefan.rief@itwm.fraunhofer.de Flow and Transport in Industrial Porous Media November 12-16, 2007 Utrecht University Overview Introduction and Motivation Derivation
More informationNumerical Wave Generation In OpenFOAM R
Numerical Wave Generation In OpenFOAM R Master of Science Thesis MOSTAFA AMINI AFSHAR Department of Shipping and Marine Technology CHALMERS UNIVERSITY OF TECHNOLOGY Göteborg, Sweden, 2010 Report No. X-10/252
More informationDesign and Optimization of a Portable Lattice Boltzmann Code for Heterogeneous Architectures
Design and Optimization of a Portable Lattice Boltzmann Code for Heterogeneous Architectures E Calore, S F Schifano, R Tripiccione Enrico Calore INFN Ferrara, Italy Perspectives of GPU Computing in Physics
More informationCBE 6333, R. Levicky 1 Review of Fluid Mechanics Terminology
CBE 6333, R. Levicky 1 Review of Fluid Mechanics Terminology The Continuum Hypothesis: We will regard macroscopic behavior of fluids as if the fluids are perfectly continuous in structure. In reality,
More information4 Microscopic dynamics
4 Microscopic dynamics In this section we will look at the first model that people came up with when they started to model polymers from the microscopic level. It s called the Oldroyd B model. We will
More informationLBM BASED FLOW SIMULATION USING GPU COMPUTING PROCESSOR
LBM BASED FLOW SIMULATION USING GPU COMPUTING PROCESSOR Frédéric Kuznik, frederic.kuznik@insa lyon.fr 1 Framework Introduction Hardware architecture CUDA overview Implementation details A simple case:
More informationCFD Applications using CFD++ Paul Batten & Vedat Akdag
CFD Applications using CFD++ Paul Batten & Vedat Akdag Metacomp Products available under Altair Partner Program CFD++ Introduction Accurate multi dimensional polynomial framework Robust on wide variety
More informationDISTANCE DEGREE PROGRAM CURRICULUM NOTE:
Bachelor of Science in Electrical Engineering DISTANCE DEGREE PROGRAM CURRICULUM NOTE: Some Courses May Not Be Offered At A Distance Every Semester. Chem 121C General Chemistry I 3 Credits Online Fall
More informationAdaptation and validation of OpenFOAM CFD-solvers for nuclear safety related flow simulations
Adaptation and validation of OpenFOAM CFD-solvers for nuclear safety related flow simulations SAFIR2010 Seminar, 10.-11.3.2011, Espoo Juho Peltola, Timo Pättikangas (VTT) Tomas Brockmann, Timo Siikonen
More informationRECENT RESEARCH IN COMPUTATIONAL FLUID MECHANICS
RECENT RESEARCH IN COMPUTATIONAL FLUID MECHANICS Dr. Nor Azwadi bin Che Sidik Faculty of Mechanical Engineering Universiti Teknologi Malaysia 1 OBJECTIVE 1. To inform current research topics in the field
More informationSimulation of magneto-hydrodynamic (MHD) flows: electric potential formulation
Simulation of magneto-hdrodnamic (MHD) flows: electric potential formulation, Ola Widlund 5th OpenFOAM workshop Göteborg, June 22-24, 2010 Outline Motivations for studing MHD flows Wh a formulation with
More informationCustomer Training Material. Lecture 2. Introduction to. Methodology ANSYS FLUENT. ANSYS, Inc. Proprietary 2010 ANSYS, Inc. All rights reserved.
Lecture 2 Introduction to CFD Methodology Introduction to ANSYS FLUENT L2-1 What is CFD? Computational Fluid Dynamics (CFD) is the science of predicting fluid flow, heat and mass transfer, chemical reactions,
More informationAeroacoustic Analogy for the Computation of Aeroacoustic Fields in Partially Closed Domains
INSTITUT FÜR MECHANIK UND MECHATRONIK Messtechnik und Aktorik Aeroacoustic Analogy for the Computation of Aeroacoustic Fields in Partially Closed Domains A. Hüppe 1, M. Kaltenbacher 1, A. Reppenhagen 2,
More informationAN EFFECT OF GRID QUALITY ON THE RESULTS OF NUMERICAL SIMULATIONS OF THE FLUID FLOW FIELD IN AN AGITATED VESSEL
14 th European Conference on Mixing Warszawa, 10-13 September 2012 AN EFFECT OF GRID QUALITY ON THE RESULTS OF NUMERICAL SIMULATIONS OF THE FLUID FLOW FIELD IN AN AGITATED VESSEL Joanna Karcz, Lukasz Kacperski
More informationMASTER OF SCIENCE IN PHYSICS MASTER OF SCIENCES IN PHYSICS (MS PHYS) (LIST OF COURSES BY SEMESTER, THESIS OPTION)
MASTER OF SCIENCE IN PHYSICS Admission Requirements 1. Possession of a BS degree from a reputable institution or, for non-physics majors, a GPA of 2.5 or better in at least 15 units in the following advanced
More informationCHAPTER 4 4 NUMERICAL ANALYSIS
41 CHAPTER 4 4 NUMERICAL ANALYSIS Simulation is a powerful tool that engineers use to predict the result of a phenomenon or to simulate the working situation in which a part or machine will perform in
More information- momentum conservation equation ρ = ρf. These are equivalent to four scalar equations with four unknowns: - pressure p - velocity components
J. Szantyr Lecture No. 14 The closed system of equations of the fluid mechanics The above presented equations form the closed system of the fluid mechanics equations, which may be employed for description
More informationDimensional Analysis
Dimensional Analysis An Important Example from Fluid Mechanics: Viscous Shear Forces V d t / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / Ƭ = F/A = μ V/d More generally, the viscous
More informationwalberla: A software framework for CFD applications on 300.000 Compute Cores
walberla: A software framework for CFD applications on 300.000 Compute Cores J. Götz (LSS Erlangen, jan.goetz@cs.fau.de), K. Iglberger, S. Donath, C. Feichtinger, U. Rüde Lehrstuhl für Informatik 10 (Systemsimulation)
More informationNumerical prediction of steel fiber orientation and distribution
Numerical prediction of steel fiber orientation and distribution Author: Oldřich Švec Supervisors: Henrik Stang John Forbes Olesen Lars Nyholm Thrane Three point bending test Source: internet 2 DTU Civil
More informationHeat Transfer Prof. Dr. Ale Kumar Ghosal Department of Chemical Engineering Indian Institute of Technology, Guwahati
Heat Transfer Prof. Dr. Ale Kumar Ghosal Department of Chemical Engineering Indian Institute of Technology, Guwahati Module No. # 04 Convective Heat Transfer Lecture No. # 03 Heat Transfer Correlation
More informationPyFR: Bringing Next Generation Computational Fluid Dynamics to GPU Platforms
PyFR: Bringing Next Generation Computational Fluid Dynamics to GPU Platforms P. E. Vincent! Department of Aeronautics Imperial College London! 25 th March 2014 Overview Motivation Flux Reconstruction Many-Core
More informationEfficient numerical simulation of time-harmonic wave equations
Efficient numerical simulation of time-harmonic wave equations Prof. Tuomo Rossi Dr. Dirk Pauly Ph.Lic. Sami Kähkönen Ph.Lic. Sanna Mönkölä M.Sc. Tuomas Airaksinen M.Sc. Anssi Pennanen M.Sc. Jukka Räbinä
More informationLecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2)
Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2) In this lecture How does turbulence affect the ensemble-mean equations of fluid motion/transport? Force balance in a quasi-steady turbulent boundary
More informationDispersion diagrams of a water-loaded cylindrical shell obtained from the structural and acoustic responses of the sensor array along the shell
Dispersion diagrams of a water-loaded cylindrical shell obtained from the structural and acoustic responses of the sensor array along the shell B.K. Jung ; J. Ryue ; C.S. Hong 3 ; W.B. Jeong ; K.K. Shin
More informationPrerequisite: High School Chemistry.
ACT 101 Financial Accounting The course will provide the student with a fundamental understanding of accounting as a means for decision making by integrating preparation of financial information and written
More informationTHE EFFECTS OF UNIFORM TRANSVERSE MAGNETIC FIELD ON LOCAL FLOW AND VELOCITY PROFILE
International Journal of Civil Engineering and Technology (IJCIET) Volume 7, Issue 2, March-April 2016, pp. 140 151, Article ID: IJCIET_07_02_011 Available online at http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=7&itype=2
More informationCFD simulations using an AMR-like approach in the PDE Framework Peano
CFD simulations using an AMR-like approach in the PDE Framework Peano, Fakultät für Informatik Technische Universität München Germany Miriam Mehl, Hans-Joachim Bungartz, Takayuki Aoki Outline PDE Framework
More informationHow To Calculate Turbulent Collision
Impact of turbulent collisions on cloud development Ryo Onishi and Keiko Takahashi Earth Simulator Center (ESC), Japan Agency of Marine-Earth Science and Technology (JAMSTEC) Turbulent collision kernel
More informationA. Ricci, E. Giuri. Materials and Microsystems Laboratory
Presented at the COMSOL Conference 2009 Milan FSI Analysis of Microcantilevers Vibrating in Fluid Environment Materials and Microsystems Laboratory Politecnico di Torino Outline Brief Presentation of Materials
More informationNUMERICAL INVESTIGATIONS ON HEAT TRANSFER IN FALLING FILMS AROUND TURBULENCE WIRES
NUMERICAL INVESTIGATIONS ON HEAT TRANSFER IN FALLING FILMS AROUND TURBULENCE WIRES Abstract H. Raach and S. Somasundaram Thermal Process Engineering, University of Paderborn, Paderborn, Germany Turbulence
More informationOpenFOAM: Introduction, Capabilities and HPC Needs
OpenFOAM: Introduction, Capabilities and HPC Needs Hrvoje Jasak hrvoje.jasak@fsb.hr Faculty of Mechanical Engineering and Naval Architecture University of Zagreb, Croatia OpenFOAM: Introduction, Capabilities
More informationVacuum Evaporation Recap
Sputtering Vacuum Evaporation Recap Use high temperatures at high vacuum to evaporate (eject) atoms or molecules off a material surface. Use ballistic flow to transport them to a substrate and deposit.
More information