Optimizing parameter of particle damping based on Leidenfrost effect of particle flows

Lei, Xiaofei; Wu, Chengjun; Chen, Peng

doi:10.1016/j.ymssp.2017.10.037

Cited by 23 publications

(5 citation statements)

References 16 publications

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“…The quadratic suitable method was adopted to optimize the mass filling ratio of particle. The study shows that particle damping could significantly reduce the maximum vibration amplitude, and a larger mass filling ratio should be selected 30 . The influence of the main factors on the damper vibration suppression effect was analyzed such as particle diameter, filling rate and both number and installation position of damper, which revealed that under broadband the influence law of various factors on the damper performance of vibration suppression and determined the optimal filling rate (70%) and the optimal installation mode of particle dampers 31 .…”

Section: Introductionmentioning

confidence: 99%

Research on longitudinal vibration suppression of underwater vehicle shafting based on particle damping

Liu

Deng

Xia

et al. 2023

Sci Rep

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A particle damper is applied to suppress the longitudinal vibration of underwater vehicle shafting in order to reduce vibration level and improve silence and stealth of underwater vehicles. The model of rubber-coated steel particle damper was established with discrete element method and PFC3D simulation software, the damping energy consumption law of collision and friction between particle and damper and between particle and particle investigated, the effects of particle radius, mass filling ratio, cavity length, excitation frequency, excitation amplitude, rotating speed and both stacking and motion states of particles on the system vibration suppression were discussed, and the bench test was carried out to verify the law. It revealed the mechanism of longitudinal vibration suppression of particle damping, established the intrinsic relationship between of total energy consumption of particle and vibration of system, and put forward the evaluating method of longitudinal vibration suppression effect by total energy consumption of particle and vibration reduction ratio. The research results show that the mechanical model of particle damper is reasonable and the simulation data is reliable; the rotating speed, mass filling ratio and cavity length have significant effects on the total energy consumption of particle and vibration reduction ratio.

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Section: Introductionmentioning

confidence: 99%

Research on longitudinal vibration suppression of underwater vehicle shafting based on particle damping

Liu

Deng

Xia

et al. 2023

Sci Rep

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“…(Xiao and Xu, 2021;Nallusamy et al, 2020;Zhang et al, 2020). Particle dampers are arranged flexibly and insensitive to temperature and environmental changes (Lei et al, 2018). They are suitable for use in harsh environments with high reliability (Wang and Li, 2011).…”

Section: Introductionmentioning

confidence: 99%

Research on optimal design of vibration reduction of centrifugal air conditioning chiller based on particle damping

Xiao¹,

Shi²,

Chen³

et al. 2023

Journal of Theoretical and Applied Mechanics

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Considering vibration of centrifugal air-conditioning chillers at working conditions of 300 Hz and 386 Hz, a vibration reduction method for centrifugal air-conditioning chillers based on particle damping is proposed. Firstly, the vibration transfer path of the chillers is determined based on dynamic characteristics analysis of the chillers. Secondly, the vibration sensitive area of the compressor is determined by finite element analysis. Then the energy dissipation is calculated by the discrete element method (DEM) to determine the optimal installation scheme of the damper. Finally, the vibration reduction effect of the chillers after arranging the damper is verified by experiments.

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“…In addition, there are also many decomposition methods based on signal processing, including local mean decomposition [36][37][38][39][40], Fourier decomposition [41], and other methods, which are widely used in gearbox fault diagnosis. Lei et al [42] combined the advantages of integrated local mean decomposition and fast spectral kurtosis to carry out fault detection of rotating machinery and finally verified the effectiveness of this algorithm for the fault diagnosis of gearboxes and rolling bearings. Dou et al [43] proposed a mechanical fault feature extraction method based on Fourier decomposition, which has the characteristics of adaptive narrowband filtering at high and low frequencies.…”

Section: Introductionmentioning

confidence: 99%

Subway Gearbox Fault Diagnosis Algorithm Based on Adaptive Spline Impact Suppression

Yang

Yao

et al. 2021

Entropy

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In the signal processing of real subway vehicles, impacts between wheelsets and rail joint gaps have significant negative effects on the spectrum. This introduces great difficulties for the fault diagnosis of gearboxes. To solve this problem, this paper proposes an adaptive time-domain signal segmentation method that envelopes the original signal using a cubic spline interpolation. The peak values of the rail joint gap impacts are extracted to realize the adaptive segmentation of gearbox fault signals when the vehicle was moving at a uniform speed. A long-time and unsteady signal affected by wheel–rail impacts is segmented into multiple short-term, steady-state signals, which can suppress the high amplitude of the shock response signal. Finally, on this basis, multiple short-term sample signals are analyzed by time- and frequency-domain analyses and compared with the nonfaulty results. The results showed that the method can efficiently suppress the high-amplitude components of subway gearbox vibration signals and effectively extract the characteristics of weak faults due to uniform wear of the gearbox in the time and frequency domains. This provides reference value for the gearbox fault diagnosis in engineering practice.

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Optimizing parameter of particle damping based on Leidenfrost effect of particle flows

Cited by 23 publications

References 16 publications

Research on longitudinal vibration suppression of underwater vehicle shafting based on particle damping

Research on longitudinal vibration suppression of underwater vehicle shafting based on particle damping

Research on optimal design of vibration reduction of centrifugal air conditioning chiller based on particle damping

Subway Gearbox Fault Diagnosis Algorithm Based on Adaptive Spline Impact Suppression

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