#NACA 0012 AIRFOIL GENERATOR MATLAB DOWNLOAD#

If you have yet to complete these requirements, please see the Download and Installation pages. The design loop is driven by the shape_optimization.py script, and thus Python along with the NumPy and SciPy Python modules are required for this tutorial. It is assumed that you have already obtained and compiled SU2_CFD, SU2_DOT, and SU2_DEF. The following tutorial will walk you through the steps required when performing shape design for the transonic airfoil using SU2. You will need the mesh file mesh_NACA0012_inv.su2 and the config file inv_NACA0012_basic.cfg. You can find the resources for this tutorial in the folder design/Inviscid_2D_Unconstrained_NACA0012 in the project website repository. We will walk through the shape design process and highlight several options related to the continuous adjoint in SU2 and the configuration options for shape design. shape_optimization.py - automates the entire shape design process by executing the SU2 tools and optimizer.SU2_DEF - deforms the geometry and mesh with changes in the design variables during the shape optimization process.

SU2_DOT - projects the adjoint surface sensitivities into the design space to obtain the gradient.SU2_CFD - performs the direct and the adjoint flow simulations.Consequently, the following SU2 tools will be showcased in this tutorial: This tutorial is meant to be an introduction for using the components of SU2 for shape design in the context of a simple, unconstrained optimization problem. The initial geometry chosen for the tutorial is the NACA 0012 airfoil in transonic, inviscid flow. Upon completing this tutorial, the user will be familiar with performing an optimal shape design of a 2D geometry. For this tutorial, we return to the classic NACA 0012 test case that was the subject of the Quick Start and perform aerodynamic shape design.

Naca 0012 airfoil generator matlab