Identification of the Aeromechanical Parameters of a Compressor Rotor from Blade Tip Timing Data
Name
turbo_146_7_071005.pdf
Description
Published version
Size
1.6 MB
Format
Adobe PDF
Checksum (MD5)
c88dbf547eb31d4fe2869a77a2c703eb
Author(s)
Hall, Kenneth C
Hall, Steven R
Date Issued
April 5, 2024
Journal
Journal of Turbomachinery
Publisher
ASME International
Citation
Hall, K. C., and Hall, S. R. (April 5, 2024). "Identification of the Aeromechanical Parameters of a Compressor Rotor from Blade Tip Timing Data." ASME. J. Turbomach. July 2024; 146(7): 071005.
Version
Final published version
Abstract
This article presents a maximum likelihood approach to identifying the mistuning, aerodynamic forcing functions, and aerodynamic influence coefficients of compressor rotor blades from noisy experimental measurements of blade deflection. The maximum likelihood estimation approach leads naturally to a nonlinear least squares optimization problem that can be solved using numerical optimization techniques such as quasi-Newton methods. An eigenmode decomposition approach is presented that permits the optimization objective function and gradient to be efficiently calculated so that the optimization is computationally feasible, even for experiments involving very large data sets. Simulation results show that the method has the potential to accurately identify the mistuning and aerodynamic nodal diameter forcing functions, but obtaining accurate results for influence coefficients may not be possible if there is significant disk flexibility. We demonstrate the method using both simulated and experimental blade vibration data from rotor 2 of the Purdue University three-stage axial compressor research facility collected using a light probe tip timing system as the rotor is slowly accelerated or decelerated through a Campbell diagram crossing.
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1115/1.4064816
