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ST STAR AR-CCM+ / Optimate Kynan Maley ey Optimate Descr crip iptio ion Proce cess ss Study exampl ples Toke ken based licensi sing Summary Optimate STAR-CCM+ M+ add-on on Easy y to use! Pan anel to setup multip iple ST


  1. ST STAR AR-CCM+ / Optimate Kynan Maley ey

  2. Optimate Descr crip iptio ion Proce cess ss Study exampl ples Toke ken based licensi sing Summary

  3. Optimate STAR-CCM+ M+ add-on on Easy y to use! Pan anel to setup multip iple ST STAR-CCM+ + analys yses – Scriptless Automation – Leverage STAR-CCM+ design space Five ava availab able study y types – Design Exploration – Design of Experiment – Robustness – Optimization – Pareto Optimization Setup is all done within in STAR-CCM+ + envir vironment Optimat ate performs the fo followin ing – Creates all necessary scripting – Submits and monitors jobs – Collects the simulation data – Post-process the study

  4. Study dy Type pes Desig sign Explor loration on – Supplied inputs – Test replication Optimization on – Global and local design space exploration – Identify important variables – Pareto optimization • Identify set of optimal designs – Uses SHERPA algorithm Desi sign of Experiment – Local design space exploration – Response surface models Robust stness s Analysis lysis – Characterize design due to input variation – User supplies probability distribution

  5. Curr rren ently y Suppor orted ed Variabl bles es 3D-CAD 3D AD Design Parameters Boundary Physics cs Values – Any scalar quantity – Velocity magnitude – Translation Components – Mass flow rate Motion ons – Static temperature – Rotation rate – Static pressure – Translational velocity – Total temperature Part Swapp pping – Total pressure – CAD parts – Mach number Region ion Physics ics Values – Flow angles (modifies ‘wind’ CS) – Volumetric heat source – Mass fractions Mesh Settings – Wall roughness – Base size – Turbulence scalars Field ld Function ons – Thermal scalars – User scalar field functions

  6. Design gn Explora oration on Exampl ple Proble blem External aerodynamics Imported CAD combined with 3D-CAD model Goals ls Investigate mirror placement effects on vehicle aerodynamics Modify position of side view mirrors

  7. Design gn Explora oration on Exampl ple

  8. Design gn Explora oration on Post-pr processi essing

  9. Extern ernal Ae Aerodyn rodynamics Joint Common Missile

  10. Design gn Explora oration on

  11. Design gn of Experi erimen ent Exampl ple Pipe Flow ow – Investigate blockage size on pressure drop Bloc ocka kage created in 3D-CAD AD – Thickness – Depth Latin in hypercu cube be sampli pling Ran 10 cases

  12. Design gn of Experi erimen ent Exampl ple

  13. Optimization on Algori orithm Propr prie ietary SHERPA A / MO-SHE HERPA algor orith ithm Effici icient – Fewer evaluations required – Rapid setup – No iterating to find best method – Solution first time more often Easy sy to use: – Simply define problem and number of evaluations – No tuning – No optimization expertise required Robust st – Finds better solutions more often for broad classes of problems

  14. Paret eto o Optimization on Exampl ple Util iliz ize pow ower of MO-SHE HERPA A algor orith ithm – Better solutions in fewer iterations Elect ctron onics cs cooling – Conjugate heat transfer Pin config iguratio ion parameteriz ized – Spacing – Height – Diameter – Taper Optim imiz ization ion object ctiv ives – Minimize pressure drop – Minimize chip temperature Ran 100 cases

  15. Paret eto o Optimization on Exampl ple

  16. Optimate e Licensi sing Enable bles many concurrent jobs s all derived from same parent sim file STAR ST AR-CCM+/ +/Opt ptim imate – Design Exploration, Design of Experiment, Robustness modes ST STAR AR-CCM+/Optim ptimate+ – All modes (including Optimization and Pareto Optimization) STAR ST AR-CCM+/ +/Power Toke kens – Used only during run – Counts as STAR-CCM+ Session or STAR-HPC – ex. 100 tokens • 1 concurrent job on 100 cpus, 10 concurrent jobs on 10 cpus, 100 concurrent jobs on 1 cpu

  17. Learn rn More Know owled ledge Databa base se – suppor ort.cd-ada dapco. o.com om – Evaluation Mode Demonstration – Pareto Optimization Mode Demonstration

  18. Summary Optim imate is a ST STAR-CCM+ + add-on on Five avail ilable ble study types – Design Exploration – Design of Experiment – Robustness – Optimization – Pareto Optimization Optim imate licensin sing scheme – Designed to run lots of similar jobs concurrently Tutor orial l videos os on Know owled ledge Base se Av Avail ilable le now ow

  19. Thank yo you

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