PARTICLES Fully Coupled Multiphase Simulation of a Bottom-spray Wurster-Coater using a hybrid CPU/GPU CFD/DEM Approach

Transcription

1 PARTICLES 2013 Fully Ced Multiphase Simulation of a Bottom-spray Wurster-Coater usg a hybrid CPU/GPU CFD/DEM Approach D. Jajcevic, A.C. Radeke, E. Siegmann, G. Neubauer, J.G. Khast K1 Competence Center - Initiated by the Federal Mistry of Economy, Family and Yth (BMWFJ) and the Federal Mistry of Transport, Innovation and Technology (BMVIT). Funded by FFG, Land Steiermark and Steirische Wirtschaftsförderung (SFG).

2 Outle Motivation & Introduction Hybrid approach Validation problem Simulations at larger scale Apication to a Wurster coatg device Conclusions & tlook RCPE Präsentationstitel 2

3 DEM CFD Cg liquids / air flow : CFD runs on multi-co CPUs solids / particles : DEM runs on sgle GPU XPS L Cg 3

4 Ced simulation CFD:DEM XPS L Cg 4

5 DEM CFD Cg Methodology PC CFD L- ACCI L-Code-Cg-Interface DEM XPS Data Mappg To DEM-grid Data Mappg To CFD-grid XPS L Cg 5

6 DEM CFD Cg Validation Validation Setup: Pseudo 2D spt fluidized bed Sgle, dble and trie possibilities Particle image velocimetry (PIV) Number of particles: S: / D: / T: Sgle Dble Trie Srce: Numerical and experimental study on multie-spt fluidized beds, Buijtenen et al. XPS L Cg 6

7 DEM CFD Cg Validation Pseudo 2D Spt Fluidized Bed XPS L Cg 7

8 DEM CFD Cg Validation Pseudo 2D Sgle Spt Fluidized Bed XPS L Cg 8

9 DEM CFD Cg Validation Sgle Spt Fluidized Bed XPS L Cg 9

10 DEM CFD Cg Validation Sgle Spt Fluidized Bed XPS L Cg 10

11 DEM CFD Cg Validation Pseudo 2D Dble Spt Fluidized Bed XPS L Cg 11

12 DEM CFD Cg Dble Spt Fluidized Bed XPS L Cg 12

13 DEM CFD Cg Validation Trie 2D Dble Spt Fluidized Bed XPS L Cg 13

14 DEM CFD Cg Trie Spt Fluidized Bed XPS L Cg 14

15 DEM CFD Cg Trie Spt Fluidized Bed XPS L Cg 15

16 Large-Scale CFD-DEM Simulation The Trie bed time = 1s XPS L Cg 16

17 Large-scale attempts N = = 0.38mm dt (CFD)= 1e-3 dt(dem)= 1e-5 XPS L Cg 17

18 XPS L Cg 18 Large-Scale CFD-DEM Simulation The Trie bed time = 1s XPS L C l g

19 Large-Scale CFD-DEM Simulation Intel Co i x3.20GHz CPU Computer A sgle NVIDIA GeForce GTX 580 graphical card with 3GB of memory XPS L Cg 19

20 Wurster coater setup CFD mesh > cells Porosity: 0.15 Porosity: 0.1 Porosity: Bndary conditons Mass flow ramp: kg/s XPS L Cg 20

21 Wurster coater: bottom spray Spray nozzle Geometric, spatial volume Spray rate: 20 ml/m Spray angle: 20deg Particles get coatg accordg to RTD Particles grow & case mass high efficiency 1e6 particles/time step) => -processg apication! v XPS L Cg Seite 21

22 Wurster coater: bottom spray N = = mm ~1kg solids 0.02 kg coatg total Process time 70s. (last 10s: flow ramp down) dt (CFD)= 1e-3 dt(dem)= 1e-5 Wall clock time: 3s/day 8CPUs,1GPU (Fermi class) XPS L Cg Seite 22

23 Wurster coater: bottom spray N = = mm ~1kg solids 0.02 kg coatg total Process time 70s. (last 10s: flow ramp down) dt (CFD)= 1e-3 dt(dem)= 1e-5 Wall clock time: 3s/day 8CPUs,1GPU (Fermi class) XPS L Cg Seite 23

24 Wurster coater: sults Ced hybrid CFD/DEM simulation + spray N = = mm ~1kg solids 0.02 kg coatg total Process time 70s. (last 10s: flow ramp down) dt (CFD)= 1e-3 dt(dem)= 1e-5 Wall clock time: 3s/day 8CPUs,1GPU (Fermi class) XPS L Cg Seite 24

25 Wurster coater: sults Ced hybrid CFD/DEM simulation + spray N = = mm ~1kg solids 0.02 kg coatg total Process time 70s. (last 10s: flow ramp down) dt (CFD)= 1e-3 dt(dem)= 1e-5 Wall clock time: 3s/day 8CPUs,1GPU (Fermi class) XPS L Cg Seite 25

26 Wurster coater: sults Ced hybrid CFD/DEM simulation + spray N = = mm ~1kg solids 0.02 kg coatg total Process time 70s. (last 10s: flow ramp down) dt (CFD)= 1e-3 dt(dem)= 1e-5 Wall clock time: 3s/day 8CPUs,1GPU (Fermi class) XPS L Cg Seite 26

27 Conclusions and Outlook Xtended Partice System (XPS) Achievments / conclusions Validated CFD/DEM cg Modelg of rotation/rollg can be neglegted for highly dynamic systems? (sphes) Solid/fluid teraction for comex geometries Spray modelg (coatg, impgnation) System solution N: => => => => Efficiency: deskside simulations: workstation, multi-cpu + sgle GPU Outlook Heat transfer liquid phase solid phase <= spray modelg Agglomeration Validated polydisperse particles Non-spherical particles, true shape: tablets, crystals Multi-GPU: N > particles XPS L Cg Seite 27