The effect of intentional mistuning has been analyzed for an axial turbocharger blisk with the objective of limiting the forced response due to low engine order excitation (LEO). The idea behind the approach was to increase the aerodynamic damping for the most critical fundamental mode in a way that a safe operation is ensured without severely losing aerodynamic performance. Apart from alternate mistuning, a more effective mistuning pattern is investigated, which has been derived by means of optimization employing genetic algorithms. In order to keep the manufacturing effort as small as possible, only two blade different geometries have been allowed, which means that an integer optimization problem has been formulated. Two blisk prototypes have been manufactured for purpose of demonstrating the benefit of the intentional mistuning pattern identified in this way: A first one with and a second one without employing intentional mistuning. The real mistuning of the prototypes has been experimentally identified. It is shown that the benefit regarding the forced response reduction is retained in spite of the negative impact of unavoidable additional mistuning due to the manufacturing process. Independently, further analyzes have been focused on the robustness of the solution by considering increasing random structural mistuning and aerodynamic mistuning as well. The latter one has been modeled by means of varying aerodynamic influence coefficients (AIC) as part of Monte Carlo simulations. Reduced order models have been employed for these purposes.
Forced Response Reduction of a Blisk by Means of Intentional Mistuning
Manuscript received June 22, 2018; final manuscript received June 26, 2018; published online September 14, 2018. Editor: Jerzy T. Sawicki.
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Beirow, B., Kühhorn, A., Figaschewsky, F., Bornhorn, A., and Repetckii, O. V. (September 14, 2018). "Forced Response Reduction of a Blisk by Means of Intentional Mistuning." ASME. J. Eng. Gas Turbines Power. January 2019; 141(1): 011008. https://doi.org/10.1115/1.4040715
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