An improved analytical dynamic model for rotating blade crack: With application to crack detection indicator analysis

Rotating blade is one of the most important components for turbomachinery. Blade crack is one of the most common and dangerous failure modes for rotating blade. Therefore, the fault mechanism and feature extraction of blade crack are vital for the safety assurance of turbomachinery. This study is ai...

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Autores principales:	Laihao Yang, Meng Ma, Shuming Wu, Xuefeng Chen, Ruqiang Yan, Zhu Mao
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Control engineering systems. Automatic machinery (General) TJ212-225 Acoustics. Sound QC221-246
Acceso en línea:	https://doaj.org/article/922eb3bf119949549a7a2fdf8310f94e
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spelling	oai:doaj.org-article:922eb3bf119949549a7a2fdf8310f94e2021-12-02T02:33:30ZAn improved analytical dynamic model for rotating blade crack: With application to crack detection indicator analysis1461-34842048-404610.1177/14613484211012602https://doaj.org/article/922eb3bf119949549a7a2fdf8310f94e2021-12-01T00:00:00Zhttps://doi.org/10.1177/14613484211012602https://doaj.org/toc/1461-3484https://doaj.org/toc/2048-4046Rotating blade is one of the most important components for turbomachinery. Blade crack is one of the most common and dangerous failure modes for rotating blade. Therefore, the fault mechanism and feature extraction of blade crack are vital for the safety assurance of turbomachinery. This study is aimed at the nonlinear dynamic model of rotating blade with transverse crack and the prior feature extraction of blade crack faults based on the vibration responses. First and foremost, a high-fidelity breathing crack model (HFBCM) for rotating blade is proposed on the basis of criterion for stress states at crack section. Since HFBCM is physically deduced from the perspective of energy dissipation and the coupling between centrifugal stress and bending stress is considered, the physical interpretability and the accuracy of the crack model are enhanced comparing with conventional models. The validity of the proposed HFBCM is verified through the comparison study among HFBCM, conventional crack models, and finite element-based contact crack model (FECCM). It is suggested that HFBCM behaves best among the analytical models and matches well with FECCM. With the proposed HFBCM, the nonlinear vibration responses are investigated, and four types of blade crack detection indicators for rotating blade and their quantification method are presented. The numerical study manifests that all these indicators can well characterize the occurrence and severity of crack faults for rotating blade. It is indicated that these indicators can serve as the crack-monitoring indexes.Laihao YangMeng MaShuming WuXuefeng ChenRuqiang YanZhu MaoSAGE PublishingarticleControl engineering systems. Automatic machinery (General)TJ212-225Acoustics. SoundQC221-246ENJournal of Low Frequency Noise, Vibration and Active Control, Vol 40 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Control engineering systems. Automatic machinery (General) TJ212-225 Acoustics. Sound QC221-246
spellingShingle	Control engineering systems. Automatic machinery (General) TJ212-225 Acoustics. Sound QC221-246 Laihao Yang Meng Ma Shuming Wu Xuefeng Chen Ruqiang Yan Zhu Mao An improved analytical dynamic model for rotating blade crack: With application to crack detection indicator analysis
description	Rotating blade is one of the most important components for turbomachinery. Blade crack is one of the most common and dangerous failure modes for rotating blade. Therefore, the fault mechanism and feature extraction of blade crack are vital for the safety assurance of turbomachinery. This study is aimed at the nonlinear dynamic model of rotating blade with transverse crack and the prior feature extraction of blade crack faults based on the vibration responses. First and foremost, a high-fidelity breathing crack model (HFBCM) for rotating blade is proposed on the basis of criterion for stress states at crack section. Since HFBCM is physically deduced from the perspective of energy dissipation and the coupling between centrifugal stress and bending stress is considered, the physical interpretability and the accuracy of the crack model are enhanced comparing with conventional models. The validity of the proposed HFBCM is verified through the comparison study among HFBCM, conventional crack models, and finite element-based contact crack model (FECCM). It is suggested that HFBCM behaves best among the analytical models and matches well with FECCM. With the proposed HFBCM, the nonlinear vibration responses are investigated, and four types of blade crack detection indicators for rotating blade and their quantification method are presented. The numerical study manifests that all these indicators can well characterize the occurrence and severity of crack faults for rotating blade. It is indicated that these indicators can serve as the crack-monitoring indexes.
format	article
author	Laihao Yang Meng Ma Shuming Wu Xuefeng Chen Ruqiang Yan Zhu Mao
author_facet	Laihao Yang Meng Ma Shuming Wu Xuefeng Chen Ruqiang Yan Zhu Mao
author_sort	Laihao Yang
title	An improved analytical dynamic model for rotating blade crack: With application to crack detection indicator analysis
title_short	An improved analytical dynamic model for rotating blade crack: With application to crack detection indicator analysis
title_full	An improved analytical dynamic model for rotating blade crack: With application to crack detection indicator analysis
title_fullStr	An improved analytical dynamic model for rotating blade crack: With application to crack detection indicator analysis
title_full_unstemmed	An improved analytical dynamic model for rotating blade crack: With application to crack detection indicator analysis
title_sort	improved analytical dynamic model for rotating blade crack: with application to crack detection indicator analysis
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/922eb3bf119949549a7a2fdf8310f94e
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An improved analytical dynamic model for rotating blade crack: With application to crack detection indicator analysis

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