RANS-Based Aerothermal Database of LS89 Transonic Turbine Cascade Under Adiabatic and Cooled Wall Conditions

Davide Fornasari, Stefano Regazzo, Ernesto Benini and Francesco De Vanna ()
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Davide Fornasari: Department of Industrial Engineering, Università degli Studi di Padova, Via Venezia 1, 35121 Padova, Italy
Stefano Regazzo: Department of Industrial Engineering, Università degli Studi di Padova, Via Venezia 1, 35121 Padova, Italy
Ernesto Benini: Department of Industrial Engineering, Università degli Studi di Padova, Via Venezia 1, 35121 Padova, Italy
Francesco De Vanna: Department of Industrial Engineering, Università degli Studi di Padova, Via Venezia 1, 35121 Padova, Italy

Energies, 2025, vol. 18, issue 19, 1-24

Abstract: Modern gas turbines for aeroengines operate at ever-increasing inlet temperatures to maximize thermal efficiency, power, output and thrust, subjecting turbine blades to severe thermal and mechanical stresses. To ensure component durability, effective cooling strategies are indispensable, yet they strongly influence the underlying aerothermal behavior, particularly in transonic regimes where shock–boundary layer interactions are critical. In this work, a comprehensive Reynolds-Averaged Navier–Stokes (RANS) investigation is carried out on the LS89 transonic turbine cascade, considering both adiabatic and cooled wall conditions. Three operating cases, spanning progressively higher outlet Mach numbers (0.84, 0.875, and 1.020), are analyzed using multiple turbulence closures. To mitigate the well-known model dependence of RANS predictions, a model-averaging strategy is introduced, providing a more robust prediction framework and reducing the uncertainty associated with single-model results. A systematic mesh convergence study is also performed to ensure grid-independent solutions. The results show that while wall pressure and isentropic Mach number remain largely unaffected by wall cooling, viscous near-wall quantities and wake characteristics exhibit a pronounced sensitivity to the wall-to-recovery temperature ratio. To support further research and model benchmarking, the complete RANS database generated in this work is released as an open-source resource and made publicly.

Keywords: gas turbines; aeroengines; open-source; wall cooling; transonic flows; LS89 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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