Performance of Adjoint-Optimized Contoured Endwalls for Multiple Off-Design Purge Flow Rates in Axial Turbines

Abstract Endwall contouring in gas turbines has become a critical area of research aimed at improving aerodynamic efficiency and reducing secondary flow losses. As modern gas turbine designs push the boundaries of performance, secondary flows — generated by pressure gradients between rotor and stator components and wall-bounded viscous effects — contribute significantly to overall efficiency losses. By optimizing the endwall geometry, particularly through non-axisymmetric contouring, it is possible to mitigate these detrimental flows and enhance turbine performance. In this paper, an adjoint-based optimization approach is utilized within commercially available software to aerodynamically optimize the blade endwall of a cooled high-pressure turbine through targeted contouring. A series of computational fluid dynamics (CFD) simulations has been conducted on a full turbine stage in a high-pressure production engine to assess the effects of these optimizations when the turbine is operating at a different condition than that used for optimization. Particular emphasis is placed on the performance of the endwall optimization at off-design rim seal purge conditions. Comparisons between an array of optimized endwalls and the baseline geometry are made, providing insight into how endwall contouring decreases aerodynamic loss across the purge rate range tested. A maximum efficiency improvement of 0.58% was achieved, and it was found that all contours optimized for a given purge condition improved efficiency across all purge conditions, with contours optimized for higher purge conditions decreasing the sensitivity of efficiency with purge flow rate. This was true for contours tested at each of their converged optimums, and when held at equal optimization passes.

Authors

Institutions

Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1115/gt2025-154078
Primary Topic
Turbomachinery Performance and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance of Adjoint-Optimized Contoured Endwalls for Multiple Off-Design Purge Flow Rates in Axial Turbines

Spencer Sperling, Ronald Mathison, Jong Liu, Richard Celestina et al.
Turbomachinery Performance and Optimization
article

Performance of Adjoint-Optimized Contoured Endwalls for Multiple Off-Design Purge Flow Rates in Axial Turbines

Spencer Sperling, Ronald Mathison, Jong Liu, Richard Celestina, Hakan Aksoy, Jeremy Nickol, Bao Q. Nguyen, ED Sears, Austin Hendrickson
article en

Abstract

Abstract Endwall contouring in gas turbines has become a critical area of research aimed at improving aerodynamic efficiency and reducing secondary flow losses. As modern gas turbine designs push the boundaries of performance, secondary flows — generated by pressure gradients between rotor and stator components and wall-bounded viscous effects — contribute significantly to overall efficiency losses. By optimizing the endwall geometry, particularly through non-axisymmetric contouring, it is possible to mitigate these detrimental flows and enhance turbine performance. In this paper, an adjoint-based optimization approach is utilized within commercially available software to aerodynamically optimize the blade endwall of a cooled high-pressure turbine through targeted contouring. A series of computational fluid dynamics (CFD) simulations has been conducted on a full turbine stage in a high-pressure production engine to assess the effects of these optimizations when the turbine is operating at a different condition than that used for optimization. Particular emphasis is placed on the performance of the endwall optimization at off-design rim seal purge conditions. Comparisons between an array of optimized endwalls and the baseline geometry are made, providing insight into how endwall contouring decreases aerodynamic loss across the purge rate range tested. A maximum efficiency improvement of 0.58% was achieved, and it was found that all contours optimized for a given purge condition improved efficiency across all purge conditions, with contours optimized for higher purge conditions decreasing the sensitivity of efficiency with purge flow rate. This was true for contours tested at each of their converged optimums, and when held at equal optimization passes.

State Library of Ohio (US), The Ohio State University (US), Honeywell (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 71%
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.