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Simulation of granular matter

Simulation of granular matter. Martin Servin Department of Physics / UMIT Research Lab. Agenda i Malmberget 20-21 april. Tisdag 20/1 besök i kulrullningsverket frågor och diskussion med Kjell-Ove arbete i FoU-huset Onsdag 21/1

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Simulation of granular matter

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  1. Simulation of granular matter Martin Servin Department of Physics / UMIT Research Lab

  2. Agenda i Malmberget 20-21 april • Tisdag 20/1 • besök i kulrullningsverket • frågor och diskussion med Kjell-Ove • arbete i FoU-huset • Onsdag 21/1 • möte Martin och Kent kring doktorandprojektet(kontrakt, kommunikation, urval kandidater mm) [1 timme] • möte alla [1-2 timme] • status & plan för PellIT-projektet (ProcessIT) • idéer kring rullkretssimulator, modell, beräkning • validering och utdata • målsättning under 2010 • arbete i FoU-huset

  3. Status och plan PellIT 2009 - förstudie • resurs: 9 manmån, M Servin, C Lacoursière, K Bodin, ProcessIT • resultat: PhD förslag, Volvo CE + Algoryx, balling plant simulator, nyametoderochmodeller, modsim granular network Tekniskautmaning:geometrier (trimesh, distance fields) adaptivupplösning ( -> merge/split)☐integrera constraint fluid iAgX ☐ GPGPU och PCG-lösareiAgX -> AgX 2.0☐viskoplasticitetsmodell

  4. Status och plan PellIT 2009 - förstudie Nya resultat • merge/split: 2-200 times speedup • hybrid direct-iterative solver through new LCP splitting method

  5. Status och plan PellIT 2009 - förstudie Nya resultat • merge/split: 2-20 times speedup • hybrid direct-iterative solver through new LCP splitting method

  6. Status och plan PellIT 2010 - FoU-projekt • resurs 9 manmån + 75% projektassistent, ProcessIT • övrigresurs doktorand, LKAB + UmUföretagsforskarskola projektass, examensarbete 6 manmån, UMU X manmån, Algoryx/Oryx/Volvo CE • Personal – UMIT Protolab • Forskare: Kenneth Bodin, Claude Lacoursière, Kenneth Bodin • Projektass: Mona Forsman, Stefan Hedman • Examensarbete: John Nordberg, OlofSabelström, Adam Serhnheim, KalleSjöström? • doktorand:… • AgX: Anders Backman, NiklasMelin, Nils Hjelte, Martin Nilsson,…

  7. Status och plan PellIT 2010 - FoU-projekt • målsättning 2010 • preliminäraflödesstudieri simulator – flödesmönsteridelsystem • re-design avutlägg?analysrullsikt? slutenprocess? • kritiskanalysavpseudo-partikel-modell • anpassadviskoplasticitetsmodell (SPH, rigid DEM) • integrera constraint-SPH i simulator – 100K partiklar, 10 Hz • numeriskametoderförattaccelererasimulering (PCG, multicore, GPGPU, splitting, merge/split, kontaktreducering) • produkt?

  8. Status och plan PellIT 2010 - FoU-projekt • Aktiviteter • systematiska studier avflöden (Mona F, Martin S) • kritiskanalysavpseudo-partikel-modell (Mona F, Martin S) • re-design avutlägg?analysrullsikt? slutenprocess? • simulator experiment-pipeline (Mona F, Stefan H) • materialparametrisering & validering (Martin S, Mona F + LTU) • utvecklingnyamodellerochberäkningstekniker • anpassadviskoplasticitetsmodell (Martin S, Kenneth B, John N + LTU) • merge/split (Martin S) • PCG-lösareförmulticoreoch GPGPU (Kenneth B, Claude L, Adam S, Stefan H) • parallelization of sparse-block computations (Claude L, OlofSabelström) • kontaktreducering (Claude L) • implementation avnyametoderiAgX (Algoryx) • integrera constraint-SPH i simulator – 100K partiklar, 10 Hz (Algoryx) • produktplan?

  9. Ideas on balling plant simulator, models, numerical computations Balling plant simulator • User philosophy: fixed - flexible - full user control • Sub-systems: balling drum, feeder, input transporters, exit transporter, roller screen, other transporters • Functionality: visualization, instantaneous data report, processed data report, optimization tools, load & save Models • Rigid body-based DEM • Constraint based SPH • Merge/split, viscoplastic flow • Adaptive hybrid model • Computational techniques • Direct • Iterative • Hybrid • GPGPU/OpenCL

  10. Ideas on balling plant simulator, models, numerical computations Adaptive DEM-SPH hybrid models for particulate flow P

  11. Ideas on balling plant simulator, models, numerical computations Adapt Jop’s viscoplastic model (Nature 2006) to constraint based model -> produce constraint based interaction model for SPH or H/P-particle model

  12. Ideas on balling plant simulator, models, numerical computations

  13. Balling plant – measuring zones • Particle data • kinematics • dynamics • Measuring zone • 2D layer with thickness d • Post-processing in Matlab • sampling of fields: density, velocity, pressure, shear • particle statistics • sample trajectories • Data and visualization • automatic report generation • data plots • Matlab / VTK / Asymptote

  14. Balling plant – measuring zones

  15. Balling plant – measuring zones

  16. Balling plant – measuring zones

  17. Balling plant – measuring zones

  18. Questions Product? Purpose and use of software? • UmU research for developing methods and models • Algoryx – code library sold to customers realizing various simulators • Joint research for studying flow behavior and the balling process • LKAB or 3rd party research for re-designing balling process and equipment • LKAB for internal education around balling process • 3rd party for R&D -> demands on flexibility, usability and visualization techniques -> fix simulator vs coupling to CAD/CAE vs interactive 3D tool (Algodoo 3D) -> who wants to own and maintain software tool? Primary sub-system for 2010 • balling drum flow – recreate, analyze, “control” ? • feeder – recreate, analyze, “re-design”? • Roller screen? – imperfect flow, pellet quality, “re-design”?

  19. Questions Questions to simulator 2010 • Quasiparticles – how much does size varies? • Quasiparticles – error vs timestep? • Quasiparticles – parametrization of particle interactions? • Rheology and trajectories – dependency on rotation speed and material parameters Material parameters & model validation • single green pellet: restitution, friction, rolling friction, adhesion, viscoelasticity, plasticity, adhesion – Agglolab? • slurry: friction angle, yeild function, compaction ratio • pellets slab: friction angle, yeild function – construct Jop’s setup? UmU – LKAB collaboration • continuously involved in analysis? – data exchange server, video meetings • 6-12 months reports

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