David Gregory-Smith
Using Profiled Endwalls, Blade Lean and Leading Edge Extensions to Minimize Secondary Flow.
Gregory-Smith, David; Bagshaw, David; Ingram, Grant; Stokes, Mark
Abstract
Methods to reduce secondary flows and losses in turbines have been studied for many years. This paper presents the latest results from a series of projects using profiled end walls, blade lean and modifying the blade profile near the end wall. In addition a review is made of the series of designs and experiments with the aim of improving our understanding of these methods. Three distinct mechanisms are identified, the first reducing the cross passage pressure gradient in the early part of the blade passage by the wall profiling. The second uses reversed compound lean which reduces mid-span losses and forces the secondary flow region closer to the end wall by inducing spanwise pressure gradients. The third uses a leading edge extension, resulting in local sweep at the end wall which reduces the blade loading at the leading edge, and hence the early cross passage pressure gradient. The results are shown not to be additive, and although large reductions in secondary flow can be achieved, these do not always result in reduced losses. Computational based design techniques, backed up by experiment are essential to produce optimal designs.
Citation
Gregory-Smith, D., Bagshaw, D., Ingram, G., & Stokes, M. (2008, June). Using Profiled Endwalls, Blade Lean and Leading Edge Extensions to Minimize Secondary Flow. Presented at Proceedings of ASME Turbo Expo 2008: Power for Land, Sea and Air, Berlin, Germany
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | Proceedings of ASME Turbo Expo 2008: Power for Land, Sea and Air |
Publication Date | 2008-06 |
Volume | 6 |
Pages | 1301-1311 |
DOI | https://doi.org/10.1115/gt2008-50811 |
Public URL | https://durham-repository.worktribe.com/output/1161518 |
Additional Information | Paper number: GT2008-50811 |
You might also like
Entropy generation rate optimisation for profiled endwall design for axial turbines
(2024)
Presentation / Conference Contribution
Extracting Quantitative Streamline Information from Surface Flow Visualization Images in a Linear Cascade using Convolutional Neural Networks
(2024)
Presentation / Conference Contribution
Using Fluid Curtains to Improve Sealing Performance in Turbomachinery Applications
(2024)
Journal Article