Forced Response Reduction of a Blisk by Means of Intentional Mistuning

被引:14
作者
Beirow, Bernd [1 ]
Kuehhorn, Arnold [1 ]
Figaschewsky, Felix [1 ]
Bornhorn, Alfons [2 ]
Repetckii, Oleg V. [3 ]
机构
[1] Brandenburg Tech Univ Cottbus, Chair Struct Mech & Vehicle Vibrat Technol, Siemens Halske Ring 14, D-03046 Cottbus, Germany
[2] MAN Diesel & Turbo SE, Stadtbachstr 1, D-86153 Augsburg, Germany
[3] Irkutsk State Agr Univ, Fac Engn, Irkutsk 664038, Russia
来源
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME | 2019年 / 141卷 / 01期
关键词
BLADES;
D O I
10.1115/1.4040715
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
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.
引用
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页数:8
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