Investigation of Efficient CFD Methods for the Prediction of Blade Damping

摘要: Accurate and efficient prediction of blade damping is one essential element in the engineering durable reliable compressors turbines. Over years, a variety empirical linearized methods have been developed used, served well. Recently, development unsteady CFD combined with an expansion available affordable computing power has enabled analysis damping. This paper looks at aerodynamic using some recently methods.Unsteady are used to predict fluid flow transonic fan rotor, tip Mach number about 1.4. Deformation determined from mechanical pre-stressed modal analysis. In this investigation, motion for first bending moments prescribed code, range nodal diameters. After periodic solutions obtained, coefficients calculated based on predicted forces specified motion.Traditional require simulation many blades given row, depending diameter. For instance, diameter four, wheel 22 would eleven blades. Computational which now enable only few (1 or 2) per row yet yield full sector solution, thus providing considerable savings time machine resources. The properties vary, but method, Fourier Transformation property that it frequency preserving, hence suitable present task.Fourier predictions, diameters, compared predictions. Positive was diameters design speed near peak efficiency operating condition indicating stable system. predictions match very closely reference solutions. transformation also provide 3.5 times faster than average cases.Copyright © 2013 by ASME