Assessment of Loss Correlations for Performance Prediction of Low Reaction Gas Turbine Stages

Abstract

In spite of the remarkable advances in the field of the Computational Fluid Dynamics, algebraic models built upon empirical loss and deviation correlations are still one of the most reliable and effective tools to predict the performance of gas turbine stages with reasonable accuracy, especially when low-reaction, multi-stage architectures are considered. This paper deals with a comparison among some of the most popular loss correlations used by gas turbine manufacturers; such comparison is performed on a two-stage low-reaction turbine for which detailed experimental data are available. An overall assessment on the validity of loss correlations is carried out to help the designer/analyst using the most accurate model when both on- and off-design are to be carried out.

Statistical and Computational Evaluation of Axial Loss Correlations Applied to Centrifugal Turbines

“…Surprisingly, there are only few references that addresses this topic in details. Wei [33] and Benini et al [34] provided a comparison between the measured loss on a low aspect ratio two stages turbine rig and several loss model predictions. Among these, the KO model could overestimate up to 33% and 200% above the stator and rotor benchmark values respectively and it is inferred by loss breakdown that the secondary loss has the largest contribution at near design conditions.…”

Axial Turbine Cascade Correlation

“…Computational implementation for reference and proposed loss calculation methods were implemented by the author in Matlab 2011b. Traditional estimation models implementation were checked against published results [33,34]. proposed loss calculation methods were implemented by the author in Matlab 2011b.…”

“…proposed loss calculation methods were implemented by the author in Matlab 2011b. Traditional estimation models implementation were checked against published results [33,34].…”