This second paper presents the aerothermal optimization of the first stage rotor blade of an axial high pressure (HP) turbine by means of the conjugate heat transfer (CHT) method and lifetime model described in Paper I. The optimization system defines the position and diameter of the cooling channels leading to the maximum lifetime of the blade while limiting the amount of cooling flow. It is driven by the results of a CHT and subsequent stress analysis of each newly designed geometry. Both temperature and stress distributions are the input for the Larson–Miller material model to predict the lifetime of the blade. The optimization procedure makes use of a genetic algorithm (GA) and requires the aerothermal analysis of a large number of geometries. Because of the large computational cost of each CHT analysis, this results in a prohibitive computational effort. The latter has been remediated by using a more elaborate optimization system, in which a large part of the CHT analyzes is replaced by approximated predictions by means of a metamodel. Two metamodels, an artificial neural network and a radial basis function network, have been tested and their merits have been discussed. It is shown how this optimization procedure based on CHT calculations, a GA, and a metamodel can lead to a considerable extension of the blade lifetime without an increase in the amount of cooling flow or the complexity of the cooling geometry.
Skip Nav Destination
e-mail: tom.verstraete@vki.ac.be
e-mail: sergio.amaral@ge.com
e-mail: vdb@vki.ac.be
e-mail: arts@vki.ac.be
Article navigation
April 2010
Research Papers
Design and Optimization of the Internal Cooling Channels of a High Pressure Turbine Blade—Part II: Optimization
Tom Verstraete,
Tom Verstraete
Department of Turbomachinery and Propulsion,
e-mail: tom.verstraete@vki.ac.be
von Kármán Institute for Fluid Dynamics
, Waterloosesteenweg 72, 640 Sint-Genesius-Rode, Belgium
Search for other works by this author on:
Sergio Amaral,
Sergio Amaral
Department of Aerospace Engineering,
e-mail: sergio.amaral@ge.com
Pennsylvania State University
, 229 Hammond Building, University Park, PA 16802
Search for other works by this author on:
René Van den Braembussche,
René Van den Braembussche
Department of Turbomachinery and Propulsion,
e-mail: vdb@vki.ac.be
von Kármán Institute for Fluid Dynamics
, Waterloosesteenweg 72, 640 Sint-Genesius-Rode, Belgium
Search for other works by this author on:
Tony Arts
Tony Arts
Department of Turbomachinery and Propulsion,
e-mail: arts@vki.ac.be
von Kármán Institute for Fluid Dynamics
, Waterloosesteenweg 72, 640 Sint-Genesius-Rode, Belgium
Search for other works by this author on:
Tom Verstraete
Department of Turbomachinery and Propulsion,
von Kármán Institute for Fluid Dynamics
, Waterloosesteenweg 72, 640 Sint-Genesius-Rode, Belgiume-mail: tom.verstraete@vki.ac.be
Sergio Amaral
Department of Aerospace Engineering,
Pennsylvania State University
, 229 Hammond Building, University Park, PA 16802e-mail: sergio.amaral@ge.com
René Van den Braembussche
Department of Turbomachinery and Propulsion,
von Kármán Institute for Fluid Dynamics
, Waterloosesteenweg 72, 640 Sint-Genesius-Rode, Belgiume-mail: vdb@vki.ac.be
Tony Arts
Department of Turbomachinery and Propulsion,
von Kármán Institute for Fluid Dynamics
, Waterloosesteenweg 72, 640 Sint-Genesius-Rode, Belgiume-mail: arts@vki.ac.be
J. Turbomach. Apr 2010, 132(2): 021014 (9 pages)
Published Online: January 13, 2010
Article history
Received:
September 30, 2008
Revised:
November 19, 2008
Online:
January 13, 2010
Published:
January 13, 2010
Connected Content
A companion article has been published:
Design and Optimization of the Internal Cooling Channels of a High Pressure Turbine Blade—Part I: Methodology
Citation
Verstraete, T., Amaral, S., Van den Braembussche, R., and Arts, T. (January 13, 2010). "Design and Optimization of the Internal Cooling Channels of a High Pressure Turbine Blade—Part II: Optimization." ASME. J. Turbomach. April 2010; 132(2): 021014. https://doi.org/10.1115/1.3104615
Download citation file:
Get Email Alerts
Evaluating Thin-Film Thermocouple Performance on Additively Manufactured Turbine Airfoils
J. Turbomach (July 2025)
Thermohydraulic Performance and Flow Structures of Diamond Pyramid Arrays
J. Turbomach (July 2025)
Related Articles
A Genetic Algorithm Based Multi-Objective Optimization of Squealer Tip Geometry in Axial Flow Turbines: A Constant Tip Gap Approach
J. Fluids Eng (February,2020)
Multi-Objective Aerodynamic Optimization of Axial Turbine Blades Using a Novel Multilevel Genetic Algorithm
J. Turbomach (October,2010)
Multidisciplinary Optimization of a Radial Compressor for Microgas Turbine Applications
J. Turbomach (July,2010)
Optimum Planning of Electricity Production
J. Eng. Gas Turbines Power (November,2009)
Related Proceedings Papers
Related Chapters
Control and Operational Performance
Closed-Cycle Gas Turbines: Operating Experience and Future Potential
Forecasting for Reservoir's Water Flow Dispatching Based on RBF Neural Network Optimized by Genetic Algorithm
International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)
Introduction
Consensus on Operating Practices for Control of Water and Steam Chemistry in Combined Cycle and Cogeneration