A Review on Vibrations in Various Turbomachines such as Fans, Compressors, Turbines and Pumps

Doshi, Shivam; Katoch, Anirudh; Suresh, Arjun; Razak, Fadil Abdul; Datta, Sagnik; Madhavan, S.; Zanhar, C. M.; Gundabattini, Edison

doi:10.1007/s42417-021-00313-x

Cited by 8 publications

(5 citation statements)

References 42 publications

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“…2 shows the normalized plots of functions H(ρ), which are constructed when ρ 0 =0.2 and η=H(ρ 0 )/H(ρ=1)=5; ν=1/3. To construct the H(ρ) curves, relation (15) was used, and therefore the function H=H 0 ρ 2ν (ρ μ +Cρ -μ ) 2 , where…”

Section: Applied Implementation Of Theoretical Resultsmentioning

confidence: 99%

“…The results of analytical studies on disks of variable thickness under the mode of radial vibrations are limited because of known difficulties of a mathematical nature that arise when trying to solve the differential equation of the problem. Our review of current literature [2][3][4][5][6][7][8][9][10][11][12][13] revealed that the solutions to the problems of oscillations of disks of variable thickness are extremely necessary for specialists in the field of mechanics and applied acoustics. This is confirmed by the presence of a significant number of various practical applications of disks as structural elements of machines.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…In work [2], a survey analysis of disk vibrations in turbomachines of different designs under conditions of different environments was carried out. The causes of possible vibrations, which include high rotation speed, cavitation, and resonant oscillations, have been studied.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Disks of variable thickness are one of the most important structural elements of turbines for various purposes, engines, and other high-speed machines and mechanisms, in particular in aircraft and rocket engineering [1][2][3][4][5][6][7][8][9][10][11][12][13]. Of practical importance are special-purpose disks in which radial vibrations are deliberately excited for technological purposes.…”

Section: Introductionmentioning

confidence: 99%

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Results of the analytical solution of the problem of radial vibrations of disks of variable thickness

Trapezon,

Kalinichenko

et al. 2024

EEJET

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An analytical solution is obtained for the problem of radial vibrations of disks of variable thickness. A disk is considered that is rigidly fixed along the inner circular contour (ρ=0.2) and free on the outer contour (ρ=1). The thickness of the disk varies according to the law H=H0(ρν+μ+Cρν-μ)2, where H0,C,μ are arbitrary constants; ν is the Poisson's ratio. The exact solution of the problem is known only for H=const and H=1/ρ3. However, these solutions are not sufficient to study the vibrations of disks of other configurations. The proposed law of thickness variation H(ρ) allows us to obtain exact solutions to the problem at any value of the constant coefficients H0, C, μ, ν. By varying the values of these coefficients within a single given function, it is possible to set the disk profile of the desired appearance. The methods used to obtain these solutions are based on appropriate mathematical transformations of the original equation. The problem of disk oscillations is solved for four variants of thickness change. The natural frequencies for the first three forms of vibration are calculated. Comparison of the natural frequencies found for the three cases of the disk profile gently sloping indicates an increase in their values with an increase in the bending of the disk thickness. Based on the obtained eigenfunctions, the stresses were calculated and the nature of their distribution along the radial coordinate of the disk was determined. The strength of the disks under resonant radial vibrations was evaluated using a special criterion. It is found that the most limiting, i.e., destructive principal stress σ1=σr at the first (main) form of vibration should be chosen from the ratio σr≈0.79 [σ-1], where [σ-1] is the endurance limit of the disk material under uniform loading. The results obtained can be used to predict the stress-strain state of disks of variable profile under their radial vibrations

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Section: Applied Implementation Of Theoretical Resultsmentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Results of the analytical solution of the problem of radial vibrations of disks of variable thickness

Trapezon,

Kalinichenko

et al. 2024

EEJET

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“…The early and intelligent fault detection system [11] synchronizes with the conditions [12] of the various machine aspects dynamic changes in pressure, temperature, vibration, or acoustics [13]. Dhosi et al [14] reviewed the correlation of vibrations and fault for various machines like pumps, turbines, and compressors. However, the most predominant measurement for fault detection is an acoustic signal.Some of the recent studies include the fault diagnosis in the planetary gearbox [15], Polak et al [16], have highlighted the fault detection in the compressor, combustion engines using acoustic signals, last but not least, Ahmed et al [17] reviews the use of acoustic measurement for the power unit fault detection in aircraft.…”

Section: Introductionmentioning

confidence: 99%

Modeling a Fault Detection Predictor in Compressor using Machine Learning Approach based on Acoustic Sensor Data

N¹,

K²,

L³

2021

IJACSA

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Proper functioning of the air compressor ensures stability for many critical systems. The ill-effect of the breakdown caused by the wear and tear in the system can be mitigated if there exists an effective automated fault classification system. Traditionally, the simulation-based methods help to extend to identify the faults; however, those systems are not so effective enough to build real-time adaptive methods for the fault detection and its type. This paper proposes an effective model for the fault classification in the air compressor based on the realtime empirical acoustic sensor time-series data were taken on a sampling frequency of 50Khz. In the proposed work, the timeseries datais transformedinto the frequency domain using fast Fourier transforms,where half of the signals are considered due to its symmetric representation. Afterward, a masking operation is carried out to extract significant feature vectors fed to the multilayer perception neural network. The uniqueness of the proposed system is that it requires less trainable parameters, thus reduces the training time and imposes lower memory overhead. The model is benchmarked with performance metric accuracy, and it is found that the proposed masked feature setbased MLP-ANN exhibits an accuracy of 91.32%. In contrast, the LSTM based fault classification model gives only 83.12% accuracy, takes more training time, and consumes more memory. Thus, the proposed model is realistic enough to be considered a real-time monitoring system of the fault and control. However, other performance metrics like precision, recall, and F1-Score are also promising with the LSTM based fault classifier.

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Fault Diagnosis of Rolling Element Bearing with Operationally Developed Defects Using Various Convolutional Neural Networks

Sahu,

Dewangan,

Matharu

2024

J Fail. Anal. and Preven.

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A Review on Vibrations in Various Turbomachines such as Fans, Compressors, Turbines and Pumps

Cited by 8 publications

References 42 publications

Results of the analytical solution of the problem of radial vibrations of disks of variable thickness

Results of the analytical solution of the problem of radial vibrations of disks of variable thickness

Modeling a Fault Detection Predictor in Compressor using Machine Learning Approach based on Acoustic Sensor Data

Fault Diagnosis of Rolling Element Bearing with Operationally Developed Defects Using Various Convolutional Neural Networks

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