Innovative procedure to minimize multi-row compressor blade dynamic loading using rotor-stator interaction optimization

Abstract This paper presents a two-dimensional two-objective procedure for minimizing dynamic loading and maximizing efficiency in multi-stage compressors. The procedure arises from the combination of an evolutionary algorithm and a CFD code, in which a sliding mesh technique and a time-dependent approach are implemented, enabling the study of unsteady rotor-stator interaction. The method is then applied to a two-stage compressor cascade (rotor-stator-rotor-stator). The results concerning the optimal set of geometrical parameters considered for optimization (axial distances between successive cascades, circumferential clocking between stators and between rotors) are finally presented and discussed.

[1]  Hans-Paul Schwefel,et al.  Evolution and optimum seeking , 1995, Sixth-generation computer technology series.

[2]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[3]  Reinhard Mönig,et al.  Development of Advanced Compressor Airfoils for Heavy-Duty Gas Turbines: Part II — Experimental and Theoretical Analysis , 1999 .

[4]  D. C. Wisler,et al.  Unsteady Aerodynamics and Gust Response in Compressors and Turbines , 1992 .

[5]  Reinhard Mönig,et al.  1999 Turbomachinery Committee Best Paper Award: Development of Advanced Compressor Airfoils for Heavy-Duty Gas Turbines— Part I: Design and Optimization , 2000 .

[6]  Paul G. A. Cizmas,et al.  The Influence of Clocking on Unsteady Forces of Compressor and Turbine Blades , 2000 .

[7]  Reinhard Mönig,et al.  1999 Turbomachinery Committee Best Paper Award: Development of Advanced Compressor Airfoils for Heavy-Duty Gas Turbines— Part II: Experimental and Theoretical Analysis , 2000 .

[8]  Koen Hillewaert,et al.  Comparison of frozen rotor to unsteady calculations of incompressible turbomachinery flow. , 2000 .

[9]  Michael B. Giles,et al.  Stator/rotor interaction in a transonic turbine , 1988 .

[10]  Reinhard Mönig,et al.  Development of Advanced Compressor Airfoils for Heavy-Duty Gas Turbines: Part I — Design and Optimization , 1999 .

[11]  Andrea Arnone,et al.  IGV–Rotor Interaction Analysis in a Transonic Compressor Using the Navier–Stokes Equations , 1998 .

[12]  Andrew M. Wo,et al.  Reduction of Unsteady Blade Loading by Beneficial Use of Vortical and Potential Disturbances in an Axial Compressor With Rotor Clocking , 1998 .

[13]  E. Benini,et al.  Systematic Two-Dimensional Cascade Optimization for Axial Flow Pumps Using Genetic Algorithms , 2001 .

[14]  Sanford Fleeter,et al.  Rotor Blade Unsteady Aerodynamic Gust Response to Inlet Guide Vane Wakes , 1993 .

[15]  Man Mohan Rai,et al.  Three-dimensional Navier-Stokes simulations of turbine rotor-stator interaction , 1988 .

[16]  Paul G. A. Cizmas,et al.  Parallel Computation of Turbine Blade Clocking , 1999 .

[17]  S. Pierret Three-dimensional blade design by means of an artificial neural network and Navier-Stokes solver , 1999 .

[18]  Steven L. Puterbaugh,et al.  Unsteady aerodynamic flow phenomena in a transonic compressor stage , 1993 .

[19]  H. E. Gallus,et al.  The Influence of Blade Number Ratio and Blade Row Spacing on Axial-Flow Compressor Stator Blade Dynamic Load and Stage Sound Pressure Level , 1982 .

[20]  Ernesto Benini,et al.  Development of High-Performance Airfoils for Axial Flow Compressors Using Evolutionary Computation , 2002 .

[21]  J. Erdos,et al.  Numerical Solution of Periodic Transonic Flow through a Fan Stage , 1977 .

[22]  Sanford Fleeter,et al.  Unsteady Aerodynamic Interactions in a Multistage Compressor , 1987 .

[23]  Ernesto Benini,et al.  Genetic Diversity as an Objective in Multi-Objective Evolutionary Algorithms , 2003, Evolutionary Computation.