NUMERICAL DESIGN OF EXPERIMENTS FOR REPEATING LOW-PRESSURE TURBINE STAGES PART II: EFFECT OF REYNOLDS NUMBER ON DIFFERENT BLADE GEOMETRIES

Abstract The complex transitional and turbulent nature of unsteady flows seen in Low-Pressure Turbines (LPTs) often demands high-order methods such as Large Eddy Simulations (LES) for accurate predictions of turbine efficiency and loss generation. This study presents results from a highly resolved LES and state-of-the art Unsteady Reynolds-Averaged Navier-Stokes (URANS) database for three newly designed LPT profiles. These are a conventional standard lift profile, a front-loaded high-lift profile, and an aft-loaded profile. Each profile is evaluated individually within a repeating 1.5-stage LPT configuration operating under engine-like conditions at an isentropic exit Mach number of 0.3. A Reynolds number sweep, ranging from 70,000 to 320,000, captures a broad spectrum of engine-relevant flow conditions. The LES study incorporates time-resolved, time-averaged, and phase-locked averaged results, enabling a detailed examination of unsteady flow phenomena such as blade-wake interactions, unsteady boundary layer evolution, and loss generation mechanisms. Complementary URANS calculations of the same configurations are undertaken and compared with the LES data. While trends are largely recovered, important differences with the LES data can be identified. These are especially present for the aft-loaded profile, it being a radical blade design compared to conventional profiles, highlighting the necessity for turbulence and transition modelling improvements when considering more aggressive blade designs. Ultimately, this work advances the understanding of unsteady aerodynamic phenomena in LPTs via LES and lays the foundation for the development of more accurate URANS models.

Authors

Institutions

Publication Details

Journal
Journal of Turbomachinery
Published
2025-10-24
DOI
https://doi.org/10.1115/1.4070236
Primary Topic
Turbomachinery Performance and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

NUMERICAL DESIGN OF EXPERIMENTS FOR REPEATING LOW-PRESSURE TURBINE STAGES PART II: EFFECT OF REYNOLDS NUMBER ON DIFFERENT BLADE GEOMETRIES

Ennio Spano, Richard D. Sandberg, Francesco Bertini, Melissa Kožul et al.
Journal of Turbomachinery
Turbomachinery Performance and Optimization
article

NUMERICAL DESIGN OF EXPERIMENTS FOR REPEATING LOW-PRESSURE TURBINE STAGES PART II: EFFECT OF REYNOLDS NUMBER ON DIFFERENT BLADE GEOMETRIES

Ennio Spano, Richard D. Sandberg, Francesco Bertini, Melissa Kožul, Giovanni Giannini, Roberto Pacciani, Michele Marconcini, Andrea Arnone, Marco Rosenzweig
article en

Abstract

Abstract The complex transitional and turbulent nature of unsteady flows seen in Low-Pressure Turbines (LPTs) often demands high-order methods such as Large Eddy Simulations (LES) for accurate predictions of turbine efficiency and loss generation. This study presents results from a highly resolved LES and state-of-the art Unsteady Reynolds-Averaged Navier-Stokes (URANS) database for three newly designed LPT profiles. These are a conventional standard lift profile, a front-loaded high-lift profile, and an aft-loaded profile. Each profile is evaluated individually within a repeating 1.5-stage LPT configuration operating under engine-like conditions at an isentropic exit Mach number of 0.3. A Reynolds number sweep, ranging from 70,000 to 320,000, captures a broad spectrum of engine-relevant flow conditions. The LES study incorporates time-resolved, time-averaged, and phase-locked averaged results, enabling a detailed examination of unsteady flow phenomena such as blade-wake interactions, unsteady boundary layer evolution, and loss generation mechanisms. Complementary URANS calculations of the same configurations are undertaken and compared with the LES data. While trends are largely recovered, important differences with the LES data can be identified. These are especially present for the aft-loaded profile, it being a radical blade design compared to conventional profiles, highlighting the necessity for turbulence and transition modelling improvements when considering more aggressive blade designs. Ultimately, this work advances the understanding of unsteady aerodynamic phenomena in LPTs via LES and lays the foundation for the development of more accurate URANS models.

Journal of Turbomachinery
The University of Melbourne (AU), Parks Victoria (AU), University of Florence (IT), University of Turin (IT)
Australian Government, European Commission, Government of Western Australia
Openalex Percentile: Top 58%
Turbomachinery Performance and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.