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.
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Razaaly, N., Persico, G., Congedo, P.M. (2021). Tolerance Optimization of Supersonic ORC Turbine Stator. In: Pini, M., De Servi, C., Spinelli, A., di Mare, F., Guardone, A. (eds) Proceedings of the 3rd International Seminar on Non-Ideal Compressible Fluid Dynamics for Propulsion and Power. NICFD 2020. ERCOFTAC Series, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-030-69306-0_9
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DOI: https://doi.org/10.1007/978-3-030-69306-0_9
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