Biblio

Found 157 results
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machine learning; multi-objective optimization; low pressure turbine; transition; turbulence modeling
Akolekar H, Waschkowski F, Zhao Y, Pacciani R, Sandberg R.  2021.  Transition Modeling for Low Pressure Turbines Using Computational Fluid Dynamics Driven Machine Learning. Energies. 14(15):4680.
mistuning
Biagiotti S, Pinelli L, Poli F, Vanti F, Pacciani R.  2018.  Numerical Study of Flutter Stabilization in Low Pressure Turbine Rotor with Intentional Mistuning. ATI 2018 - 73rd Conference of the Italian Thermal Machines Engineering Association.. Energy Procedia 148:98-105.
Navier–Stokes
Cavazzini A, Campobasso MS, Marconcini M, Pacciani R, Arnone A.  2019.  Harmonic balance Navier-Stokes analysis of tidal stream turbine wave loads. Recent Advances in CFD for Wind and​ Tidal Offshore Turbines. :pp37-49.
Optimization
Arnone A, Bonaiuti D, Focacci A, Pacciani R, Scotti Del Greco A, Spano E.  2004.  Parametric Optimization of a High-Lift Turbine Vane. Conf. Proc. Vol. 5: Turbo Expo 2004, Parts A and B. :1469–1479.
June 14–17, Vienna, Austria, ASME paper GT2004-54308
radial mixing
Ricci M, Pacciani R, Marconcini M, Arnone A.  2018.  Secondary flow and radial mixing modelling for CFD-based Through-Flow method: an axial turbine application. ATI 2018 - 73rd Conference of the Italian Thermal Machines Engineering Association. Energy Procedia 148:218-225.
Roughness
Pacciani R, Spano E.  2006.  Numerical Investigation of the Effect of Roughness and Passing Wakes on LP Turbine Blades Performance. ASME Turbo Expo. Conf. Proc. Vol. 6: Turbomachinery, Parts A and B:1713–1722.
May 8–11, Barcelona, Spain, ASME paper GT2006-90221
S2 stream surface
Pacciani R, Rubechini F, Marconcini M, Arnone A, Cecchi S, Daccà F.  2016.  A CFD-Based Throughflow Method With An Adaptive Formulation For The S2 Streamsurface. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy. 230(1):16-28.

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