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Modeling Surface Variation and Assessment of its Impact on Aerodynamic Performance in Turbomachinery Applications

[+] Author Affiliations
Saurya Ranjan Ray, Ravikanth Avancha

GE Aviation, Bangalore, India

Sriram Shankaran, Lyle Dailey

GE Aviation, Evandale, OH

Paper No. GT2017-64213, pp. V02BT41A032; 10 pages
  • ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition
  • Volume 2B: Turbomachinery
  • Charlotte, North Carolina, USA, June 26–30, 2017
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-5079-4
  • Copyright © 2017 by ASME


Analyzing the impact of manufacturing variability on the performance of turbomachinery components supports two critical dimensions in the product life cycle. It provides a technological process to decide on the criterion of acceptability of the deviated manufactured component based on the performance assessment and secondly, provides sensitivity of the geometrical variation to the component performance to build a robust design space. Currently, non-deterministic methods based on probability distribution function of the design parameters are used to assess the impact of variability, and the output is presented as a set of correlation coefficients linking the geometrical parameters to the component performance. Though these methods provide adequate information on the robustness of the design space, the amount of computational requirement and lack of consideration of the local effect of geometry modification on the performance pose challenges. In the current work, the method presented is based on a variant of radial basis functions to construct the deviated manufactured geometry of the turbine rear frame (TRF) of a modern gas turbine engine for aerodynamic assessment. The approach is used to accurately and rapidly construct a 3D deviation map from a set of discrete measured data using a co-ordinate measuring machine (CMM). Additionally, the developed approach is used as a method of applying free-form deformation in the critical localities on the aerodynamic surface identified using the sensitivity information from an adjoint analysis to re-design the baseline geometry. Aerodynamic analysis is conducted to understand the nature of geometry change due to the manufacturing variation and explain the mechanism of performance change.

Copyright © 2017 by ASME



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