Nóbrega / Jasak OpenFOAM®

Selected Papers of the 11th Workshop
1. Auflage 2019
ISBN: 978-3-319-60846-4
Verlag: Springer Nature Switzerland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 527 Seiten

This book contains selected papers of the 11th OpenFOAM® Workshop that was held in Guimarães, Portugal, June 26 - 30, 2016. The 11th OpenFOAM® Workshop had more than 140 technical/scientific presentations and 30 courses, and was attended by circa 300 individuals, representing 180 institutions and 30 countries, from all continents.The OpenFOAM® Workshop provided a forum for researchers, industrial users, software developers, consultants and academics working with OpenFOAM® technology. The central part of the Workshop was the two-day conference, where presentations and posters on industrial applications and academic research were shown. OpenFOAM® (Open Source Field Operation and Manipulation) is a free, open source computational toolbox that has a larger user base across most areas of engineering and science, from both commercial and academic organizations. As a technology, OpenFOAM® provides an extensive range of features to solve anything from complex fluid flows involving chemical reactions, turbulence and heat transfer, to solid dynamics and electromagnetics, among several others. Additionally, the OpenFOAM technology offers complete freedom to customize and extend its functionalities.

Autoren/Hrsg.

Nóbrega, J. Miguel

Jasak, Hrvoje

Inhaltsverzeichnis

1;Preface;5
2;Contents;7
3;Added Mass Partitioned Fluid–Structure Interaction Solver Based on a Robin Boundary Condition for Pressure;11
3.1;1 Introduction;12
3.2;2 Mathematical Model;13
3.2.1;2.1 Fluid Governing Equations;13
3.2.2;2.2 Solid Governing Equations;14
3.2.3;2.3 Conditions at the Fluid–Solid Interface;15
3.2.4;2.4 Robin Boundary Condition for Pressure;16
3.3;3 Numerical Model;18
3.3.1;3.1 Discretisation of the Computational Domain;18
3.3.2;3.2 Discretisation of the Governing Equations;19
3.3.3;3.3 Solution Procedure for Fluid and Solid Models;23
3.3.4;3.4 Solution Procedure for Fluid–Structure Interaction;23
3.4;4 Numerical Results;25
3.4.1;4.1 Wave Propagation in an Elastic Tube;25
3.4.2;4.2 Enclosed Domain: A Balloon-Type Problem;29
3.5;5 Conclusions;30
3.6;References;31
4;CAD-Based Parameterization for Adjoint Optimization;33
4.1;1 Introduction;33
4.1.1;1.1 Boundary Representation;34
4.1.2;1.2 NURBS Curves and Surfaces;35
4.1.3;1.3 Connecting CAD to CFD;36
4.2;2 Meshing of the CAD Surfaces;37
4.2.1;2.1 Using Dimensionless Parameters;37
4.2.2;2.2 Using an Octree Mesh as a Background Mesh;38
4.2.3;2.3 Using the Advancing Front Method for Meshing the Surfaces;38
4.3;3 Changing the Shape of BRep Models;39
4.3.1;3.1 Adjoint-Based Optimization and the Continuous Adjoint Technique;42
4.3.2;3.2 Volumetric NURBS Free Form Deformation;44
4.3.3;3.3 Fitting the Displaced Surface Mesh;44
4.4;4 Conclusions;46
4.5;References;47
5;Cavitating Flow in a 3D Globe Valve;49
5.1;1 Introduction;49
5.2;2 Numerical Approach;50
5.2.1;2.1 Governing Equations;50
5.2.2;2.2 Cavitation Model;51
5.2.3;2.3 Turbulence Model;52
5.2.4;2.4 Computational Domain;53
5.2.5;2.5 Numerical Methodology;54
5.3;3 Results;55
5.3.1;3.1 Operating Conditions;55
5.3.2;3.2 Influence of Turbulence on pv;56
5.3.3;3.3 Flow Topology;56
5.3.4;3.4 Flow Curve;57
5.3.5;3.5 Forces on the Stem;58
5.4;4 Conclusions;59
5.5;References;59
6;CFD Analysis and Optimisation of Tidal Turbine Arrays Using OpenFOAM®;61
6.1;1 Introduction;61
6.1.1;1.1 Esturine Tidal Energy;62
6.1.2;1.2 Lift/Drag Turbine;63
6.1.3;1.3 Project Aims;64
6.2;2 Detailed CFD;65
6.3;3 Immersed Body Force Method;67
6.3.1;3.1 Validation;68
6.3.2;3.2 Farm Modelling;70
6.4;4 Optimisation;70
6.5;5 Conclusions;73
6.6;References;73
7;Combining an OpenFOAM®-Based Adjoint Solver with RBF Morphing for Shape Optimization Problems on the RBF4AERO Platform;75
7.1;1 Introduction;76
7.2;2 Continuous Adjoint Formulation;77
7.3;3 RBF-Based Morphing;80
7.4;4 Optimization Algorithm;81
7.5;5 Applications;82
7.6;6 Conclusions;84
7.7;References;85
8;Development of a Combined Euler-Euler Euler-Lagrange Slurry Model;86
8.1;1 Introduction;87
8.2;2 Current OpenFOAM Models;88
8.3;3 Solver Development;88
8.3.1;3.1 Mesh/Baffles/Regions;89
8.3.2;3.2 Interpolation;90
8.3.3;3.3 Addition of Particles to the Solver;92
8.4;4 Initial Test of Model;93
8.4.1;4.1 First Phase Velocity Comparison;94
8.4.2;4.2 Particle Comparison;97
8.5;5 Future Development and Conclusion;98
8.6;References;98
9;Development of Data-Driven Turbulence Models in OpenFOAM®: Application to Liquid Fuel Nuclear Reactors;101
9.1;1 Introduction;102
9.2;2 Application of State-of-the-Art Turbulence Models for the BFS;103
9.3;3 Optimization of a k–? Model with GEATFOAM;109
9.4;4 A Nonlinear Quadratic Closure for the Anisotropy Tensor Developed with the GEATFOAM Tool;111
9.5;5 Conclusions;113
9.6;References;115
10;Differential Heating as a Strategy for Controlling the Flow Distribution in Profile Extrusion Dies;117
10.1;1 Introduction;117
10.2;2 Die-Design Methodology;118
10.3;3 Numerical Modeling;120
10.3.1;3.1 Governing Equations;120
10.4;4 Case Study;121
10.4.1;4.1 Material Characterization;122
10.4.2;4.2 Geometry and Mesh;122
10.4.3;4.3 Numerical Trials and Results;124
10.4.4;4.4 Experimental Assessment;126
10.5;5 Conclusions;127
10.6;References;127
11;Drag Model for Coupled CFD-DEM Simulations of Non-spherical Particles;129
11.1;1 Introduction;129
11.2;2 Modeling of Non-spherical Particles;130
11.2.1;2.1 Drag Forces on Non-spherical Particles;130
11.3;3 Drag Model Development;133
11.4;4 Application;136
11.5;5 Conclusions;138
11.6;References;138
12;Effects of Surface Textures on Gravity-Driven Liquid Flow on an Inclined Plate;140
12.1;1 Introduction;140
12.2;2 Numerical Model;143
12.2.1;2.1 Model Equations;143
12.2.2;2.2 Computational Domain and Simulation Set-Up;144
12.3;3 Results and Discussion;147
12.4;4 Conclusion;150
12.5;References;151
13;Enhanced Turbomachinery Capabilities for Foam-Extend: Development and Validation;152
13.1;1 Introduction;153
13.2;2 Mathematical Model;154
13.3;3 Validation and Discussion;155
13.3.1;3.1 Aachen Test Case: Partial Overlap GGI Approach;156
13.3.2;3.2 Aachen Test Case: Mixing Plane Approach;156
13.3.3;3.3 Global Pump Parameters Comparison;158
13.4;4 Conclusion;160
13.5;References;161
14;Evaluation of Energy Maximising Control Systems for Wave Energy Converters Using OpenFOAM®;163
14.1;1 Introduction;163
14.1.1;1.1 Outline of Chapter;164
14.2;2 OpenFOAM® in Wave Energy Applications;165
14.3;3 Evaluating Energy Maximisation Control Systems;167
14.4;4 Illustrative Example;168
14.4.1;4.1 Implementation;169
14.4.2;4.2 Results;171
14.5;5 Conclusion;174
14.6;References;175
15;Floating Potential Boundary Condition in OpenFOAM®;178
15.1;1 Introduction;178
15.2;2 Theoretical Background;179
15.3;3 Implementation in OpenFOAM®;183
15.4;4 Examples;183
15.5;5 Conclusions;185
15.6;References;185
16;Fluid Dynamic and Thermal Modeling of the Injection Molding Process in OpenFOAM®;187
16.1;1 Introduction;187
16.2;2 Governing Equations;188
16.2.1;2.1 Fluid Dynamic Equations;188
16.2.2;2.2 Thermal Modeling;189
16.2.3;2.3 Multiphase Modeling;190
16.2.4;2.4 Material Models;191
16.2.5;2.5 Modeling Processing Steps of Injection Molding;192
16.3;3 Experiments;193
16.3.1;3.1 Processing Conditions;193
16.3.2;3.2 Measurement Errors;194
16.4;4 Validation;195
16.4.1;4.1 Filling Phase;195
16.4.2;4.2 Packing Phase;196
16.4.3;4.3 Cooling Phase;196
16.4.4;4.4 Parameter study;198
16.5;5 Conclusion;198
16.6;References;199
17;Free-Surface Dynamics in Induction Processing Applications;201
17.1;1 Introduction;201
17.2;2 Magnetodynamics;202
17.3;3 Hydrodynamics;204
17.4;4 Mesh Motion;205
17.5;5 Multi-mesh Multi-physics;206
17.5.1;5.1 Parallelisation;207
17.5.2;5.2 Magnetohydrodynamic Solution;207
17.5.3;5.3 Improved Surface-Tracking Method;209
17.6;6 Application Examples;211
17.7;7 Conclusion;213
17.8;References;213
18;GEN-FOAM: An OpenFOAM®-Based Multi-physics Solver for Nuclear Reactor Analysis;215
18.1;1 Introduction;215
18.2;2 The GeN-Foam Multi-physics Solver;217
18.2.1;2.1 Neutron Transport;218
18.2.2;2.2 Thermal-Mechanics;219
18.2.3;2.3 Thermal-Hydraulics;220
18.2.4;2.4 Fuel Temperatures;221
18.2.5;2.5 Coupling Strategy;222
18.3;3 Discussion and Conclusions;222
18.4;References;225
19;Harmonic Balance Method for Turbomachinery Applications;226
19.1;1 Introduction;227
19.2;2 Mathematical Model;229
19.2.1;2.1 Passive Scalar Transport;229
19.2.2;2.2 Incompressible Fluid Flow;231
19.3;3 Results;232
19.4;4 Conclusion;234
19.5;References;235
20;Implementation of a Flexible and Modular Multiphase Framework for the Analysis of Surface-Tension-Driven Flows Based on a Hybrid LS-VOF Approach;237
20.1;1 Introduction;237
20.2;2 Mathematical Formulation;239
20.2.1;2.1 Governing Equations;239
20.2.2;2.2 The Simplified LS-VOF Method;240
20.2.3;2.3 Implementation of the Thermal Marangoni Migration Method in OpenFOAM®;242
20.3;3 Solver Validation;244
20.4;4 Conclusions and Future Directions;247
20.5;References;248
21;Implicitly Coupled Pressure–Velocity Solver;250
21.1;1 Introduction;250
21.2;2 Mathematical and Numerical Model;252
21.2.1;2.1 Incompressible Formulation;252
21.2.2;2.2 Compressible Formulation;254
21.3;3 Validation and Benchmarking;258
21.3.1;3.1 Validation of the Compressible Coupled Solver;259
21.3.2;3.2 Validation and Benchmarking of the Incompressible Coupled Solver;262
21.4;4 Conclusion;267
21.5;References;267
22;Improving the Numerical Stability of Steady-State Differential Viscoelastic Flow Solvers in OpenFOAM®;269
22.1;1 Introduction;269
22.2;2 Governing Equations and Numerical Procedure;270
22.3;3 Case Studies;272
22.3.1;3.1 Flow in a 4:1 Planar Sudden Contraction;272
22.3.2;3.2 Flow Around a Confined Cylinder;275
22.4;4 Conclusions;279
22.5;References;280
23;IsoAdvector: Geometric VOF on General Meshes;281
23.1;1 The Interfacial Flow Equations;282
23.2;2 IsoAdvector for Interface Advection;282
23.2.1;2.1 Interface Reconstruction;284
23.2.2;2.2 Interface Advection;285
23.2.3;2.3 Bounding;287
23.3;3 Pure Advection Tests;288
23.3.1;3.1 Notched Disc in Solid Body Rotation;288
23.3.2;3.2 Sphere in Shear Flow;290
23.4;4 Using isoAdvector in interFoam;290
23.5;5 The damBreak Case;292
23.6;6 Steady Stream Function Wave;293
23.7;7 Summary;295
23.8;References;296
24;Liquid Atomization Modeling in OpenFOAM®;297
24.1;1 Introduction;298
24.2;2 ELSA-Base;299
24.3;3 Quasi-Multiphase Eulerian Approach;301
24.4;4 ELSA-ICM Approach;304
24.5;References;307
25;Lubricated Contact Model for Cold Metal Rolling Processes;309
25.1;1 Introduction;309
25.2;2 Mathematical Model;310
25.2.1;2.1 Asperity Contact Model;311
25.2.2;2.2 Lubricant Flow Model;315
25.2.3;2.3 Implementation of Numerical Models;316
25.3;3 Results and Discussion;317
25.3.1;3.1 Sheet Rolling;317
25.3.2;3.2 Wire Rolling;320
25.4;4 Conclusion;321
25.5;References;323
26;Modeling of Turbulent Flows in Rectangular Ducts Using OpenFOAM®;324
26.1;1 Introduction;325
26.2;2 Experimental Setup;326
26.2.1;2.1 Preston Tube;327
26.2.2;2.2 Irwin Probes;327
26.3;3 Numerical Setup;328
26.4;4 Results and Discussion;329
26.4.1;4.1 Experimental Results;331
26.4.2;4.2 Calibration of the Irwin Probes;332
26.4.3;4.3 Numerical Results;332
26.5;5 Velocity Influence;335
26.5.1;5.1 Preliminary Results of the Rectangular Duct with Variable Section;336
26.6;6 Conclusions;337
26.7;References;338
27;Numerical Approach for Possible Identification of the Noisiest Zones on the Surface of a Centrifugal Fan Blade;340
27.1;1 Introduction;341
27.2;2 Theory;342
27.2.1;2.1 Geometry of the Problem;342
27.2.2;2.2 Estimation of the Acoustic Field (FW&H Analogy);342
27.2.3;2.3 Proper Orthogonal Decomposition;343
27.2.4;2.4 Singular Value Decomposition (SVD);346
27.3;3 Application;347
27.3.1;3.1 Geometry, Spatial Discretization, and Boundary Conditions;347
27.3.2;3.2 Governing Equations and Time Discretization;348
27.3.3;3.3 POD Analysis and Interpretation;349
27.3.4;3.4 SVD Analysis and Interpretation;350
27.3.5;3.5 Conclusion;352
27.4;References;352
28;Numerical Modeling of Flame Acceleration and Transition from Deflagration to Detonation Using OpenFOAM®;355
28.1;1 Introduction;356
28.2;2 Governing Equations;357
28.2.1;2.1 Solution Algorithms;358
28.2.2;2.2 Transition from Low Mach Number to High Mach Number Flows;361
28.3;3 Case Study;361
28.4;4 Results and Discussion;362
28.4.1;4.1 Predictions Using the Pressure-Based Solver;362
28.4.2;4.2 Predictions Using the Density-Based Solver;364
28.5;5 Conclusion;368
28.6;References;369
29;Open-Source 3D CFD of a Quadrotor Cyclogyro Aircraft;371
29.1;1 Background;372
29.2;2 CFD Model;373
29.2.1;2.1 Mesh Generation;375
29.2.2;2.2 Isolated Airframe Mesh;375
29.2.3;2.3 Rotor Model;376
29.2.4;2.4 Entire Aircraft Mesh;377
29.2.5;2.5 Final Mesh Tuning;378
29.2.6;2.6 Validation;380
29.3;3 Domain Decomposition Parallelization;381
29.4;4 Closing Remarks;383
29.5;References;384
30;A Review of Shape Distortion Methods Available in the OpenFOAM® Framework for Automated Design Optimisation;387
30.1;1 Introduction;387
30.2;2 Grid Deformation and Regeneration Techniques;391
30.2.1;2.1 snappyHexMesh;391
30.2.2;2.2 Grid Distortion Methods;393
30.2.3;2.3 Immersed Boundary Method (IBM);394
30.3;3 Conclusions;396
30.4;References;396
31;Simulating Polyurethane Foams Using the MoDeNa Multi-scale Simulation Framework;398
31.1;1 Introduction;399
31.2;2 Governing Equations;400
31.2.1;2.1 Reaction Kinetics;400
31.2.2;2.2 Bubble-Scale Model;400
31.2.3;2.3 Modeling the Macroscopic Scale;402
31.3;3 The MoDeNa Software Framework;404
31.3.1;3.1 Design Philosophy;404
31.3.2;3.2 Scale Coupling;404
31.3.3;3.3 Software Components;405
31.3.4;3.4 Coupling of Macro- and Bubble-Scale Models;406
31.4;4 MoDeNa as a Functional Piece in Applications;407
31.4.1;4.1 Defining Surrogate Models;407
31.4.2;4.2 Embedding Surrogate Models into OpenFOAM®;408
31.4.3;4.3 Overall Simulation Workflow;409
31.5;5 Physical Properties and Operating Conditions;409
31.6;6 Results and Discussion;410
31.7;7 Conclusions;412
31.8;References;412
32;Simulation of a Moving-Bed Reactor and a Fluidized-Bed Reactor by DPM and MPPIC in OpenFOAM®;415
32.1;1 Introduction;415
32.2;2 Physical Models;416
32.2.1;2.1 Discrete Particle Method (DPM);416
32.2.2;2.2 Multiphase Particle-In-Cell (MPPIC);418
32.3;3 Implementation Strategy in OpenFOAM®;418
32.4;4 Results for the Moving-Bed Reactor;419
32.4.1;4.1 Case Setup;419
32.4.2;4.2 Results and Discussion;421
32.5;5 Results for the Fluidized-Bed Reactor;423
32.5.1;5.1 Lab-Scale Fluidized-Bed Reactor;423
32.5.2;5.2 Industrial-Scale Fluidized-Bed Reactor;426
32.6;6 Conclusion;428
32.7;References;430
33;Simulation of Particulate Fouling and its Influence on Friction Loss and Heat Transfer on Structured Surfaces using Phase-Changing Mechanism;432
33.1;1 Introduction;432
33.2;2 Multiphase Approach for the Simulation of Particulate Fouling;433
33.2.1;2.1 Lagrangian Branch;433
33.2.2;2.2 Eulerian Branch;438
33.2.3;2.3 Computational Grid and Boundary Conditions;439
33.3;3 Results;440
33.3.1;3.1 Validation;440
33.3.2;3.2 Particulate Fouling on Structured Heat Transfer Surfaces;444
33.4;4 Conclusion;447
33.5;References;447
34;solidificationMeltingSource: A Built-in fvOption in OpenFOAM® for Simulating Isothermal Solidification;449
34.1;1 Introduction;449
34.1.1;1.1 fvOptions;449
34.1.2;1.2 Background on Isothermal Solidification;450
34.2;2 Governing Equations;451
34.2.1;2.1 Conservation Equations;451
34.2.2;2.2 Derivation of the Equations for Source Terms;452
34.3;3 Implementation in solidificationMeltingSource;454
34.4;4 Problem Statement and Simulation Setup;455
34.5;5 Results;456
34.6;6 Conclusions;456
34.7;References;457
35;Study of OpenFOAM® Efficiency for Solving Fluid–Structure Interaction Problems;459
35.1;1 Introduction;460
35.2;2 Governing Equations;461
35.3;3 Numerical Methods;462
35.3.1;3.1 OpenFOAM®: A Fluid–Structure Interaction Analysis Using the Finite Volume Method;462
35.3.2;3.2 Kratos: Particle Finite Element Method with Fixed Mesh;463
35.3.3;3.3 Vortex Element Method;463
35.3.4;3.4 LS-STAG Method;465
35.4;4 Numerical Simulation;467
35.4.1;4.1 Flow Simulation Around the Fixed Airfoil;468
35.4.2;4.2 Wind Resonance Simulation;468
35.4.3;4.3 Hysteresis Simulation;470
35.5;5 Comparison of the Considered Numerical Methods;470
35.6;6 Conclusion;471
35.7;References;471
36;The Harmonic Balance Method for Temporally Periodic Free Surface Flows;474
36.1;1 Introduction;474
36.2;2 Harmonic Balance Method;475
36.2.1;2.1 Mathematical Model;475
36.2.2;2.2 Coupling of Steady-State Equations;476
36.3;3 Test Cases;476
36.3.1;3.1 2D Ramp Test Case;477
36.3.2;3.2 DTMB Wave Diffraction Test Case;477
36.4;4 Conclusion;481
36.5;References;481
37;Two-Way Coupled Eulerian–Eulerian Simulations of a Viscous Snow Phase with Turbulent Drag;483
37.1;1 Introduction;483
37.2;2 The Drifting Snow Viscosity Model;488
37.3;3 Validation;490
37.3.1;3.1 Validation Experiment;490
37.3.2;3.2 Simulation Setup;492
37.3.3;3.3 Results and Discussion;495
37.4;4 Conclusions and Future Work;498
37.5;References;498
38;Use of OpenFOAM® for the Investigation of Mixing Time in Agitated Vessels with Immersed Helical Coils;501
38.1;1 Computational Fluid Dynamics in the Chemical Industry;501
38.1.1;1.1 Agitated Vessels in the Chemical Industry;502
38.2;2 Heat Exchange in Stirred Vessels;502
38.3;3 Investigated Object;503
38.4;4 Measurement Approach;504
38.4.1;4.1 Velocity Field via Particle Image Velocimetry (PIV);504
38.4.2;4.2 Concentration Field via Laser-Induced Fluorescence (LIF);505
38.5;5 Mixing Time;506
38.5.1;5.1 Definition of Mixing Time;506
38.5.2;5.2 Simulation of Mixing Processes;507
38.6;6 Velocity Field;507
38.7;7 Tracing via Passive Scalar Transport on Existing Velocity Fields;508
38.8;8 Determination of Mixing Time at Probe Locations;509
38.9;9 Determination of Global Mixing Time;509
38.10;10 Time Resolution for Scalar Transport;510
38.11;11 Validation of CFD Results;510
38.12;12 Conclusions and Outlook;510
38.13;References;511
39;Wind Turbine Diffuser Aerodynamic Study with OpenFOAM®;513
39.1;1 Introduction;513
39.2;2 Analytical Framework;514
39.3;3 Numerical Setup;515
39.4;4 Results;518
39.5;5 Conclusions;522
39.6;References;522
40;Index;524