Mistuning and Damping of Turbine Impellers

Maywald, Thomas; Beirow, Bernd; Kühhorn, Arnold

doi:10.1007/s38313-015-0017-7

Cited by 2 publications

(1 citation statement)

References 1 publication

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“…Mistuning can lead to localization of strain energy and drastic increase in forced responses of some blades. [9][10][11][12] Moreover, compared to the bladed disk, the inherent damping of the blisk is very low and the vibration responses of blades of blisks are correspondingly higher. 13,14 Therefore, in addition to the above mentioned failure modes, high cycle fatigue (HCF) 15,16 and low cycle fatigue (LCF) failures 17 are also main failure modes of blades in blisks.…”

Section: Introductionmentioning

confidence: 99%

Mistuning identification for coated blisks using small amount of experimental data

Yan

Sun

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part C:

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Because the coatings are likely to produce new mistuning which aggravates the vibration failure of coated blades, it is particularly important to study the mistuning identification for coated blades. In this study, the degrees of freedom of the whole disk of the coated blisk is completely constrained, and the orders of the dynamic model of the coated blisk based on component mode mistuning (CMM) method is further reduced. Based on this model, a novel mistuning identification method for the coated blade of the coated blisk by small amount of experimental data is proposed, which can identify the mass, stiffness and damping mistuning of the blade substrates and coatings. The input parameters with high amount of data, such as modal shape matrix, are removed from identification formulas, thus, both the amount of data for identification calculation and the workload of vibration testing are reduced. The mistuning identifications of the numerical case and actual case are carried out respectively, and the identification process of the mistuning identification method in this paper is compared with the one based on the classical CMM model. It is shown that the mistuning identification method is effective and feasible, and the identification efficiency is higher than the classical CMM identification method.

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Section: Introductionmentioning

confidence: 99%

Mistuning identification for coated blisks using small amount of experimental data

Yan

Sun

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part C:

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The Twisted-Blade Model for Radial-Turbine Mistuning

Futoryanova

2017

Journal of Engineering for Gas Turbines and Power

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One of the common failure modes of the diesel-engine turbochargers is the high-cycle fatigue (HCF) of the turbine-wheel blades. Mistuning of the blades due to the casting process is believed to contribute to this failure mode. Currently available commercial finite-element software requires high computational capacity to model statistical mistuning. The objective is to develop a simple model tailored for the evaluation of statistical mistuning in diesel-engine turbocharger turbine wheels that can be used in the product design stage. This research focuses on the radial turbine-wheel design that is typically used in 6–12 L diesel-engine applications. A continuous twisted-blade model is developed in matlab using finite element techniques. The model is tested and validated against different symmetrical cases as well as abaqus results.

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Mistuning and Damping of Turbine Impellers

Cited by 2 publications

References 1 publication

Mistuning identification for coated blisks using small amount of experimental data

Mistuning identification for coated blisks using small amount of experimental data

The Twisted-Blade Model for Radial-Turbine Mistuning

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