A 3D Inverse Design Based Rapid Multidisciplinary Optimization Strategy for Radial-inflow Turbines
Radial-inflow turbines have seen extensive use in turbocharger applications, presenting various challenges in achieving optimal efficiencies for both design and off-design points, meeting mass flow requirements and maintaining low moment of inertia while managing high stress levels.
Traditionally, addressing these complex issues involved conducting a large number of CFD/FEA analysis, creating RSM/surrogate models, and utilizing optimizers to identify the best solution.
In this paper, we introduce an alternative approach, leveraging the 3D inviscid design method for turbomachinery blades, known as the inverse design method. Our proposed method integrates aerodynamic and mechanical performance parameters from the inverse design solution with direct optimization techniques, resulting in a final optimized design that demonstrates comparable performance to the baseline design optimized through traditional methods, while significantly reducing the number of CFD/FEA simulations required.
