Investigation on transient dynamic balancing of the power turbine rotor and its application

In the dynamic balancing procedure of the rotor system, the unbalance is determined as a principal parameter which should be identified firstly. In actual engineering, the interference of external noise on the rotor is usually the main factor influencing the identification. In this paper, we focus o...

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Main Authors: Wangqun Deng, Mengyu Tong, Qingyang Zheng, Xingmin Ren, Yongfeng Yang
Format: Article
Language:English
Published: SAGE Publishing 2021-04-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/16878140211007325
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spelling doaj-fcacd9eb49f94eaba41415d16ae3222b2021-04-07T23:03:30ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402021-04-011310.1177/16878140211007325Investigation on transient dynamic balancing of the power turbine rotor and its applicationWangqun Deng0Mengyu Tong1Qingyang Zheng2Xingmin Ren3Yongfeng Yang4Key Laboratory of Aero-engine Vibration Technology, Aero Engine Corporation of China, Zhuzhou, ChinaInstitute of Vibration Engineering, Northwestern Polytechnical University, Xi’an, ChinaInstitute of Vibration Engineering, Northwestern Polytechnical University, Xi’an, ChinaInstitute of Vibration Engineering, Northwestern Polytechnical University, Xi’an, ChinaInstitute of Vibration Engineering, Northwestern Polytechnical University, Xi’an, ChinaIn the dynamic balancing procedure of the rotor system, the unbalance is determined as a principal parameter which should be identified firstly. In actual engineering, the interference of external noise on the rotor is usually the main factor influencing the identification. In this paper, we focus on the unbalance identification of the power turbine rotor while the vibration response is influenced by signal interference during the balancing process in actual engineering. Fast Fourier Transform (FFT) and wavelet transform are used to analyze the collected original signal. Butterworth filter and Chebyshev type I filter are employed to test signal processing. The transient dynamic balancing method and the single plane influence coefficient method are used to balance the three balancing bosses of the rotor, and the balance efficiency is compared. The results show that, the signal fluctuation of boss 3 in high-frequency band is less than boss 1 and boss 2. Butterworth filter is more effective than Chebyshev type I filter in filtering the transient response data. The transient dynamic balancing method requires one test run without any trial-weights. More importantly, compared with the influence coefficient method, the transient dynamic balancing method has a better balancing effect.https://doi.org/10.1177/16878140211007325
collection DOAJ
language English
format Article
sources DOAJ
author Wangqun Deng
Mengyu Tong
Qingyang Zheng
Xingmin Ren
Yongfeng Yang
spellingShingle Wangqun Deng
Mengyu Tong
Qingyang Zheng
Xingmin Ren
Yongfeng Yang
Investigation on transient dynamic balancing of the power turbine rotor and its application
Advances in Mechanical Engineering
author_facet Wangqun Deng
Mengyu Tong
Qingyang Zheng
Xingmin Ren
Yongfeng Yang
author_sort Wangqun Deng
title Investigation on transient dynamic balancing of the power turbine rotor and its application
title_short Investigation on transient dynamic balancing of the power turbine rotor and its application
title_full Investigation on transient dynamic balancing of the power turbine rotor and its application
title_fullStr Investigation on transient dynamic balancing of the power turbine rotor and its application
title_full_unstemmed Investigation on transient dynamic balancing of the power turbine rotor and its application
title_sort investigation on transient dynamic balancing of the power turbine rotor and its application
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2021-04-01
description In the dynamic balancing procedure of the rotor system, the unbalance is determined as a principal parameter which should be identified firstly. In actual engineering, the interference of external noise on the rotor is usually the main factor influencing the identification. In this paper, we focus on the unbalance identification of the power turbine rotor while the vibration response is influenced by signal interference during the balancing process in actual engineering. Fast Fourier Transform (FFT) and wavelet transform are used to analyze the collected original signal. Butterworth filter and Chebyshev type I filter are employed to test signal processing. The transient dynamic balancing method and the single plane influence coefficient method are used to balance the three balancing bosses of the rotor, and the balance efficiency is compared. The results show that, the signal fluctuation of boss 3 in high-frequency band is less than boss 1 and boss 2. Butterworth filter is more effective than Chebyshev type I filter in filtering the transient response data. The transient dynamic balancing method requires one test run without any trial-weights. More importantly, compared with the influence coefficient method, the transient dynamic balancing method has a better balancing effect.
url https://doi.org/10.1177/16878140211007325
work_keys_str_mv AT wangqundeng investigationontransientdynamicbalancingofthepowerturbinerotoranditsapplication
AT mengyutong investigationontransientdynamicbalancingofthepowerturbinerotoranditsapplication
AT qingyangzheng investigationontransientdynamicbalancingofthepowerturbinerotoranditsapplication
AT xingminren investigationontransientdynamicbalancingofthepowerturbinerotoranditsapplication
AT yongfengyang investigationontransientdynamicbalancingofthepowerturbinerotoranditsapplication
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