1. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ CFD-based Shape Optimisation Using Geodise Toolkits Application Demo of Grid Technologies in Engineering Design Optimisaiton Wenbin Song, Hakki Eres and Graeme Pound Southampton e-Science Center 12 May, 2003

2. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ CFD-based shape optimisation using Geodise toolkits Introduction Overall Structure, Dataflow and Geodise toolkits Modelling and Simulation Parametric CAD modelling Solving the flow problem Optimisation using DOE and RSP methods Archiving of metadata and files Summary and Future work

3. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ CFD-based shape optimisation using Geodise toolkits Introduction CFD is both computation and data intensive Automation and integration is the key Grid provides both the environment and technology Consistent and open standard interfacing provides easy integration of various tools across platforms Matlab provides a flexible scripting environments Application demo Motivation Shape optimisation of 3D Engine intake Integration of CAD, Meshing tool and Solver Design of experiments and Response surface modeling Search strategies

4. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ CFD-based shape optimisation using Geodise toolkits Nacelle Optimisation Problem – problem definition The aim is to understand the effect of various geometry parameters on the aerodynamic performance of engine nacelle, there is no attempt at this stage to calculate the radiated noise from fan, it is simply assumed that the bigger the scarf angle, more reduction in noise will be achieved. Two parameters were first chosen: scarf angle and axial offset Performance is measured using Total Pressure Recovery Negative Scarf Inlet Conventional Inlet 0 12 Total Pressure Recovery (TPR) =

5. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ Globus Middleware Matlab Environment OPTIONS Data Repository FLUENT MODEL Fluent Journal file (.jou ) Model Metadata GAMBIT MODEL Gambit Journal file (.jou ) Model Metadata CAD MODEL ProEngineer Part file (.prt ) Input Parameter file (.inp) Command Script file (.txt) Geodise Computation and Database Toolkits.NET Webservice to Condor CFD-based shape optimisation using Geodise toolkits Next

6. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ Parametric Geometry generation -.NET Webservice interface to Condor 1.Generate a proxy using user’s credentials; 2.Retrieve the ProEngineer Model files from repository; 3.Submit ProE job(s) to Condor pool using grid_submit; 4.Poll submitted jobs; 5.Retrieve results CFD-based shape optimisation using Geodise toolkits

7. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ Procedure: Generate a proxy using user’s credentials; Retrieve the Gambit Journal file from repository; Submit Gambit jobs to Grid-enabled Computing server; CFD-based shape optimisation using Geodise toolkits Methods adopted in the mesh generation Mesh Generation – using Grid-enabled Computing Servers (1) automatic mesh generation is essential relying on the highest level entities in the model (face in the nacelle geometry); decide node spacing based on relative length of the edges in a particular part or the whole model size functions used to control local mesh pattern 3D boundary layers

8. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ Mesh Generation – using Grid-enabled Computing Servers (2) CFD-based shape optimisation using Geodise toolkits 1.Determine the ref_edge_node_spacing (D): Choose ref_edge_node_spacing If (ref_edge_node_spacing > shortest_edge) ref_edge_node_spacing (D) = shortest_edge; End 2.Determine the nominal edge_node_spacing for each edge based on the following formula: if pow(2,i)*D<edge_length<pow(2,i+1)*D norm_edge_node_spacing = alpha1*D*pow(I,alpha2) end 3.Determine the edge_node_spacing at the end vertex for each edge based on the nominal edge_node_spacing of all edges connected to it at that vertex, in order to obtain smooth mesh for connected large/short edges; 4.Apply boundary layers to the faces; 5.Mesh the edge using double-sided, asymmetric mesh; 6.Apply vertex-centered size function to faces; 7.Mesh the faces; 8.Mesh the volumes 9.Specify boundary types and export the mesh in required format

9. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ CFD-based shape optimisation using Geodise toolkits Mesh Generation – using Grid-enabled Computing Servers (3)

10. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ Solving the flow problem on Grid-enabled computing resources (1) 1.Generate a proxy using user’s credentials; 2.Retrieve the Fluent journal file from repository; 3.Submit Fluent jobs to Grid-enabled computing resources; 4.Poll the submitted jobs; 5.Retrieve results CFD-based shape optimisation using Geodise toolkits 1.Nacelle Placed in a pressure far-field box; 2.Extended to the far-field from maximum exterior radius; 3.Pressure outlet just behind the fan exit face; 4.Cruise condition (Mach =0.85, ); 5.Symmetry conditions applied Boundary conditions

11. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ CFD-based shape optimisation using Geodise toolkits Solving the flow problem on Grid-enabled computing resources (2)

12. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ Scarf angle Axial offset DoE using OPTIONS CFD-based shape optimisation using Geodise toolkits Optimisation using DoE/RSP methods – workflow and results Problem definition Design of Experiment Response surface modelling Optimisation on Response surface Validation

13. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ CFD-based shape optimisation using Geodise toolkits Validation run using Fluent.com

14. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ Fluent Remote Simulation Facility (RSF) All data is fully backed-up, secured, and protected using 128 bit encryption techniques Managed by experts in the field of Computational Fluid Dynamics and optimized for implementation on high performance computational systems Global access to the facility on a 24x7 basis from a desktop browser Continuous monitoring of all operations for secure operation Full 128 bit data communication encryption HTTPS access with full SSL technology Optional VPN and dedicated communication connections Optional "private" dedicated systems and services Modular, scalable, reliable, secure Redundant internet connections Secure monitoring, backup, back office connections https://rsolve.fluent.com/ Features :

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19. © Geodise Project, University of Southampton, 2001-2003. http://www.geodise.org/ Summary Design automation using Grid-enabled Matlab environment; Parametric Modelling methods; Optimisation using DoE/RSP methods Future work Computation Monitoring, Steering Methods in Optimisation Multi-objective Optimisation Multi-disciplinary Optimisation (CFD, Structure, cost modelling, etc) Optimisation as Grid services CFD-based shape optimisation using Geodise toolkits