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Multidisciplinary Computation and Numerical Simulation V. Selmin. Role of the Numerical Simulation. Flight Test / Real World. Numerical Simulation. Wind Tunnel Experiment. Reduce Flight Test and Wind Tunnel costs Reduce Product Development Costs Reduce Time to Market.
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Multidisciplinary Computation and Numerical Simulation V. Selmin
Role of the Numerical Simulation Flight Test / Real World Numerical Simulation Wind Tunnel Experiment • Reduce Flight Test and Wind Tunnel costs • Reduce Product Development Costs • Reduce Time to Market Simulation Chain
Numerical Simulation Process Real World Physical system Mathematical Model Set of PDE, gas properties Space discretisation (Grid) Numerical scheme (FD,FV,FE) Discretisation Pre-processing of data Execution of numerical code Simulation Approximated Solution Post-processing of data Analysis of results Simulation Chain
Simulation Chain CAD representation Grid generation Solver (CFD) • Turn-around time as low as possible • High level of confidence of the numerical simulation • Correct use of the numerical simulation • (Choice of the model and its limitations) Simulation Chain
CAD Representation • Features: • Reduce as much as possible hand work to prepare the model for • simulation • CAD repair • Geometry parametrisation at the CAD level • Automatic Design, Optimisation • CAD model recovery • Update geometry to be used for other simulations/applications Simulation Chain
Grid Generation • Features: • Highly integrated with the CAD system • Standard inputs (IGES,STEP, …)? • High flexibility for the discretisation of complex geometries • Different element types, anisotropic elements, … • Highly automatised and fast grid generation process • Unstructured grid approach (for complex geometries) • High quality grids • Mesh refinement and mesh deformation capabilities Simulation Chain
CFD Solvers • Features: • Versatility/Flexibility of the approach • Unstructured vs Structured Data Structure • Fast and accurate solvers • Design of numerical schemes! Verification & Validation! • User friendliness and easiness • GUI, postprocessing & user education • Choice of the algorithm and interpretation of results • Knowledge of the methods limitations, user education & • experience Simulation Chain
Basic Equations in CFD Navier-Stokes Equations If viscous effects are negligible Euler Equations If the flow is isentropic and irrotational Mathematical Complexity Increasing Full Potential Equations If the non-linearity is removed Linearised Potential Equations Simulation Chain