A novel concept for non-linear multidisciplinary aerodynamic design optimization

A fundamental approach is presented here in order to define a comprehensive property that overwhelms the limitations of existing aerodynamic design/optimization practice. A novel parameter is derived extending the loss model accounted by the second law of thermodynamics. The given approach attempts to quantitatively relate the finite-time thermodynamic irreversibilities associated with a particular shape class of a body across a flow field. It is then studied analytically by applications in external and internal aerodynamics. Further, the physical behavior of the function is explored using a case study for aero-structural optimization along with other physical quantities with established behavior (Multi-Disciplinary-Optimization). A baseline model of aerodynamically twisted wing profile entailing NACA 1412 and NACA 621112 airfoils is optimized using Elite member selection based Multi-Objective Genetic Algorithm (MOGA). The proposed function is proven to be more computationally economical and comprehensive for optimization.