Abstract:
This paper explores the simulation and optimization of shape-adaptive airfoils for turbomachinery applications, focusing on novel structural and material concepts that enable dynamic airfoil morphing. Two shape adaptation mechanisms are studied: one using a segmented kinematic chain and another using volume stretching via internal pressurized channels embedded in hyperelastic material. Parametric modeling via TrueGrid® enables detailed control over geometry variations, while LS-OPT is employed for shape optimization using response surface methodologies. Optimization targets specific airfoil deformations to enhance aerodynamic performance, demonstrating how different design variables—especially the ratio of elliptical cross-section dimensions—impact deformation under structural and aerodynamic loads. The study confirms that intelligent parametric modeling combined with optimization techniques can effectively guide the development of efficient, adaptable airfoil designs in turbomachinery.
