Tip-Timing Measurements and Numerical Analysis of Last-Stage Steam Turbine Mistuned Bladed Disc During Run-Down

Rządkowski, Romuald; Kubitz, Leszek; Maziarz, Michał; Troka, Pawel; Dominiczak, K; Szczepanik, Ryszard

doi:10.1007/s42417-019-00185-2

Cited by 17 publications

(9 citation statements)

References 17 publications

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“…In recent years, enterprises, research institutions, and universities have invested significant resources in the research of BTT technology in the field of turbomachinery, resulting in a wealth of research results and extensive experience in theoretical methods and engineering practice [10]. General Electric, Pratt &Whitney, and Rolls-Royce all applied BTT technology to the safety detection of engine blades [11].…”

Section: Introductionmentioning

confidence: 99%

Blade Crack Diagnosis Based on Blade Tip Timing and Convolution Neural Networks

et al. 2023

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The diagnosis of blade crack faults is critical to ensuring the safety of turbomachinery. Blade tip timing (BTT) is a non-contact vibration displacement measurement technique, which has been extensively studied for blade vibration condition monitoring recently. The fault diagnosis methods based on deep learning can be summarized as studying the internal logical relationship of data, automatically mining features, and intelligently identifying faults. This research proposes a crack fault diagnostic method based on BTT measurement data and convolutional neural networks (CNNs) for the crack fault detection of blades. There are two main aspects: the numerical analysis of the rotating blade crack fault diagnosis and the experimental research in rotating blade crack fault diagnosis. The results show that the method outperforms many other traditional machine learning models in both numerical models and tests for diagnosing the depth and location of blade cracks. The findings of this study contribute to the real-time online crack fault diagnosis of blades.

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Section: Introductionmentioning

confidence: 99%

Blade Crack Diagnosis Based on Blade Tip Timing and Convolution Neural Networks

et al. 2023

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“…Either energy or exergy analyses did not take into consideration steam turbine (or any other observed volume) inner structure [42,43]. Along with mentioned, there also exist various other types of steam turbine numerical analyses which may (or may not) take into consideration turbine inner structure [44,45].…”

Section: Introductionmentioning

confidence: 99%

The influence of various optimization algorithms on nuclear power plant steam turbine exergy efficiency and destruction

et al. 2021

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This paper presents an exergy analysis of the whole turbine, turbine cylinders and cylinder parts in four different operating regimes. Analyzed turbine operates in nuclear power plant while three of four operating regimes are obtained by using optimization algorithms – SA (Simplex Algorithm), GA (Genetic Algorithm) and IGSA (Improved Genetic-Simplex Algorithm). IGSA operating regime gives the highest developed mechanical power of the whole turbine equal to 1022.48 MW, followed by GA (1020.06 MW) and SA (1017.16 MW), while in Original operating regime whole turbine develop mechanical power equal to 996.29 MW. In addition, IGSA causes the highest increase in developed mechanical power of almost all cylinders and cylinder parts in comparison to the Original operating regime. All observed optimization algorithms increases the exergy destruction of the whole turbine in comparison to Original operating regime - the lowest increase causes IGSA, followed by GA and finally SA. The highest exergy efficiency of the whole turbine, equal to 85.92% is obtained by IGSA, followed by GA (85.89%) and SA (85.82%), while the lowest exergy efficiency is obtained in Original operating regime (85.70%). Analyzed turbine, which operates by using wet steam is low influenced by the ambient temperature change. IGSA, which shows dominant performance in exergy analysis parameters of the analyzed turbine, in certain situations is overpowered by GA. Therefore, in optimization of steam turbine performance, IGSA and GA can be recommended.

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“…Some authors dealt with the mistuning problems of small rotors of automotive turbochargers [21,22]. One paper [23] presented the experimental and numerical studies of last-stage low-pressure mistuned steam turbine bladed discs during run-down. The tip-timing method was used to find the mistuned bladed disc modes and frequencies.…”

Section: Introductionmentioning

confidence: 99%

Effective Mistuning Identification Method of Integrated Bladed Discs of Marine Engine Turbochargers

Píštěk

Kučera

Fomin

et al. 2020

JMSE

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Radial turbine and compressor wheels form essential cornerstones of modern internal combustion engines in terms of economy, efficiency and, in particular, environmental compatibility. As a result of the introduction of exhaust gas turbochargers in the extremely important global market for diesel engines, higher engine efficiencies are possible, which in turn reduce fuel consumption. The associated reduced exhaust emissions can answer questions that results from environmentally relevant aspects of the engine development. In shipping, the international Maritime Organisation (IMO) prescribes the step-by-step reduction of nitrogen oxide and other types of emissions. To reduce these emissions, various systems are being developed, in which turbochargers are an important part. The requirements for the reliability and service life of turbochargers are constantly increasing. Turbocharger blade vibration is one of the most important problems to be solved when designing the rotors. In the case of real rotors, so-called mistuning arises, which is a slight deviation of the properties of the individual blades from the design parameters. The article deals with an effective method of mistuning identification for cases of integrated bladed discs of marine engine turbochargers. Unlike approaches that use costly scanning laser Doppler vibrometers, this method is based on using only a simple laser vibrometer in combination with a computational model of the integrated bladed disc. The added value of this method is, in particular, a significant reduction in the cost of laboratory equipment and a reduction in the time required to obtain the results.

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Tip-Timing Measurements and Numerical Analysis of Last-Stage Steam Turbine Mistuned Bladed Disc During Run-Down

Cited by 17 publications

References 17 publications

Blade Crack Diagnosis Based on Blade Tip Timing and Convolution Neural Networks

Blade Crack Diagnosis Based on Blade Tip Timing and Convolution Neural Networks

The influence of various optimization algorithms on nuclear power plant steam turbine exergy efficiency and destruction

Effective Mistuning Identification Method of Integrated Bladed Discs of Marine Engine Turbochargers

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