Experimental Characterization and Evaluation of the Vibroacoustic Field of Hydraulic Pumps: The Case of an External Gear Pump

Woo, Sangbeom; Vacca, Andrea

doi:10.3390/en13246639

Cited by 4 publications

(4 citation statements)

References 40 publications

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“…It has a significant implication that can aid in the development of vibration reduction strategies from the source level. According to previous research by authors [35], the vibration field responses that the external gear pump exhibits during operation are similar to the superposition of the vibration modes observed in this study. This observation suggests that the overall structural vibrations can be reduced by suppressing the modal responses, which are proportional to the modal forces.…”

Section: Discussion On Vibration Reduction Strategies During Pump Ope...supporting

confidence: 89%

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An Investigation of the Vibration Modes of an External Gear Pump through Experiments and Numerical Modeling

Woo¹,

Vacca²

2022

Energies

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This paper presents an experimental and numerical modal analysis for an external gear pump considering its mounting on a test rig in a laboratory setting. Most of the previous studies on experimental modal analysis (EMA) of hydraulic pumps focused on the modal frequencies to allow model validation. However, the mode shapes of pump bodies have not extensively been discussed. Furthermore, the nature of the pump components assembly and mounting poses some modeling challenges, such as the uncertain material properties of each component, the behavior of the bolted joints, and some critical modeling boundary conditions related to pump mounting. In this regard, the experimentally obtained vibration modes of a reference pump using the least-square complex exponential (LSCE) method are analyzed with an emphasis on the characteristics of the mode shapes. Then, simple modeling strategies are proposed and validated by performing the analysis from the component level to the full assembly. As a result, the mode shapes are categorized depending on the type of motions that the modes exhibit. It is observed that the pump casing does not show any substantial deformation but is close to the rigid body motion. Moreover, without considerably increasing model complexities, the proposed numerical approach provides reasonable accuracy with average errors in modal frequencies of 6%, as well as good agreement in terms of mode shapes. The vibration reduction strategy is briefly discussed based on the measured mode shapes, and the proposed modeling approaches can be useful to study external gear pumps with minimal model complexities yet allowing reasonable result accuracy.

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Section: Discussion On Vibration Reduction Strategies During Pump Ope...supporting

confidence: 89%

“…Of all these components, the modal behaviors of the pump body are of primary interest. However, those of the mounting plate are examined as well since prior research done by the authors has shown that the mounting has a great contribution to the radiated noise during the operation of the pump [34,35].…”

Section: Reference Unit and Systemmentioning

confidence: 99%

An Investigation of the Vibration Modes of an External Gear Pump through Experiments and Numerical Modeling

Woo¹,

Vacca²

2022

Energies

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“…Woo proposed a method to interpret and characterize the measured vibration sound field. [ 13 ] A test platform monitors the sound pressure level (SPL) and sound power level of the hydraulic pump. Experimental results show that this method can reliably evaluate the hydraulic pump's noise characteristics.…”

Section: Introductionmentioning

confidence: 99%

Noise Analysis and Optimization Design of an Electric–Mechanical–Hydraulic Power Coupler for the Vehicle

Jia,

Sun,

Zhang

et al. 2024

Energy Tech

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This article proposes a new electric–mechanical–hydraulic power coupler (EMHPC). The EMHPC is integrated by a swash plate axial piston pump and permanent magnet synchronous motor, which can realize the conversion of electric, mechanical, and hydraulic energy. To analyze the noise characteristics of the EMHPC, the mathematical models of fluid noise and electromagnetic noise are established, respectively. An optimization model is built based on Isight, and the multi‐island genetic algorithm is used to optimize the triangular groove structure. The optimization results show that the sound pressure level of sound field monitoring points decreases at different frequencies, and the vibration displacement of the cylinder block decreases. The maximum sound pressure level of the directivity curve of the radiated sound field decreases by 9 dB. For the electrodynamic structure optimization of the EMHPC, this article establishes a combination approximation model with higher accuracy. The structure of the stator and rotor is optimized based on the combined approximate model. The optimization results show that the sinusoidal property of the radial air‐gap magnetic density curve is better after optimization, and the harmonic amplitude of the radial electromagnetic force decreases. The maximum sound pressure level in the air domain of the external sound field is reduced from 69 to 60 dB. Moreover, the superposition analysis of fluid noise and electromagnetic noise is carried out, and the main noise sources of the EMHPC in different working modes are determined.

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“…Hydraulic transmission and control power generation systems are easily disturbed by signals such as vibration and noise. Unfavorable noise is accompanied by the pressure pulsations in the flapper-nozzle valve flow field [28]. The noise and vibration of hydraulic pumps usually exhibit high spatial variations [29].…”

Section: Introductionmentioning

confidence: 99%

Remote Monitoring and Fault Diagnosis of Ocean Current Energy Hydraulic Transmission and Control Power Generation System

Wei

Guo

et al. 2021

Energies

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The development of clean and environmentally friendly energy is necessary to address significant energy challenges, and abundant sea current energy, which plays a key role in the decarbonization of our energy systems and has attracted increasing attention among researchers. In the present study, a remote monitoring and diagnosis system was designed in accordance with the requirements of a 50 kW hydraulic transmission and control power generation system. Hardware selection and software function requirement analysis were then performed. The causes of system faults were analyzed, the output fault types of the improved model were determined, and effective monitoring parameters were selected. The accuracy of traditional spectra in diagnosing faults is poor; however, the generalization capability of support vector machines (SVM) is robust. Thus, an improved particle swarm algorithm optimized SVM fault diagnosis model for the hydraulic transmission control power generation system was proposed to rapidly and effectively determine the key parameters. Remote monitoring software for the hydraulic transmission and control power generation system was also developed. The results of remote monitoring and diagnostic tests showed that the software was able to satisfy the functional requirements of the hydraulic transmission control power generation remote monitoring system, and the operation effect was consistent with expectations. By comparing the test accuracy of different diagnostic models, the improved PSVM model has the highest test accuracy with a classification accuracy of 99.4% in the case of normal operation, accumulator failure, relief valve failure and motor failure. In addition, the proposed diagnostic method was effective, thereby ensuring safe and reliable operation of the hydraulic transmission control power generation system.

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Experimental Characterization and Evaluation of the Vibroacoustic Field of Hydraulic Pumps: The Case of an External Gear Pump

Cited by 4 publications

References 40 publications

An Investigation of the Vibration Modes of an External Gear Pump through Experiments and Numerical Modeling

An Investigation of the Vibration Modes of an External Gear Pump through Experiments and Numerical Modeling

Noise Analysis and Optimization Design of an Electric–Mechanical–Hydraulic Power Coupler for the Vehicle

Remote Monitoring and Fault Diagnosis of Ocean Current Energy Hydraulic Transmission and Control Power Generation System

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