The discrepancy between manufactured and design geometry of turbomachinery blades has a detrimental effect on the performance variability. In this work, the authors propose a methodology to reduce the impact of the randomness induced by the manufacturing process: a tolerance optimization is carried out by resorting to an efficient robust optimization method based on quantile regression. Its application to a typical two-dimensional supersonic nozzle cascade for ORC showcases promising preliminary results.
Tolerance Optimization of Supersonic ORC Turbine Stator
Persico G.;
2021-01-01
Abstract
The discrepancy between manufactured and design geometry of turbomachinery blades has a detrimental effect on the performance variability. In this work, the authors propose a methodology to reduce the impact of the randomness induced by the manufacturing process: a tolerance optimization is carried out by resorting to an efficient robust optimization method based on quantile regression. Its application to a typical two-dimensional supersonic nozzle cascade for ORC showcases promising preliminary results.File in questo prodotto:
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