The Implications of Tolerance Optimization on Compressor Blade Design

Author:

Dow Eric A.1,Wang Qiqi2

Affiliation:

1. Aerospace Computational Design Laboratory, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA 02139 e-mail:

2. Assistant Professor Aerospace Computational Design Laboratory, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA 02139 e-mail:

Abstract

Geometric variability increases performance variability and degrades the mean performance of turbomachinery compressor blades. These detrimental effects can be reduced by using robust optimization to design the blade geometry or by imposing stricter manufacturing tolerances. This paper presents a novel computational framework for optimizing compressor blade manufacturing tolerances and incorporates this framework into existing robust geometry design frameworks. Optimizations of an exit guide vane geometry are conducted. When the design is optimized to improve performance at a single operating point, the optimal geometry is found to depend on the manufacturing tolerances due to a switch in the dominant loss mechanism. Including multiple operating points in the optimization avoids this switch so that the geometry and tolerance optimization problems are decoupled.

Publisher

ASME International

Subject

Mechanical Engineering

Reference19 articles.

1. Garzon, V. E., 2003, “Probabilistic Aerothermal Design of Compressor Airfoils,” Ph.D. dissertation, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA.

2. Robust Design of Compressor Fan Blades Against Erosion;ASME J. Mech. Des.,2005

3. Bestle, D., and Flassig, P., 2010, “Optimal Aerodynamic Compressor Blade Design Considering Manufacturing Noise,” 8th Association for Structural and Multidisciplinary Optimization in the UK/International Society for Structural and Multidisciplinary Optimization (ASMO-UK/ISSMO) Conference on Engineering Design Optimization, London, July 8–9.

4. The Impact of Geometric Variation on Compressor 2D Incidence Range;ASME J. Turbomach.,2015

5. Probabilistic System Reliability for a Turbine Engine Airfoil,2004

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