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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.
The event addresses all engineers, developers or researchers dealing with Turbomachinery Design.
Flowchart of the Optimization Methodology
Meridional Geometry of the Baseline Design
Computational Domain for Turbine Nozzle and Rotor
Baseline Normalised Von-Misses Stress Contour (left - suction side | right: pressure side)
Pareto Front and Selected Optimal Design
Comparison of Wrap Angle Between Baseline and Design 543
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