1 / 19

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

jalila
Download Presentation

Simulation of granular matter

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  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

More Related