Numerical prediction of centrifugal compressor noise

Sun, Hyosung; Lee, Soogab

doi:10.1016/s0022-460x(03)00330-4

Cited by 20 publications

(8 citation statements)

References 5 publications

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“…With the gradual development of computational fluid dynamics (CFD), numerical simulation techniques for compressor noise coupled with CFD and computational aerodynamic acoustics methods have been widely used [21,22]. Liu et al [23] calculated the unsteady flow field of a compressor and used the flow field results to obtain noise source information.…”

Section: Introductionmentioning

confidence: 99%

An Explainable Prediction Model for Aerodynamic Noise of an Engine Turbocharger Compressor Using an Ensemble Learning and Shapley Additive Explanations Approach

Huang,

Ni,

Qiao

et al. 2023

Sustainability

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In the fields of environment and transportation, the aerodynamic noise emissions emitted from heavy-duty diesel engine turbocharger compressors are of great harm to the environment and human health, which needs to be addressed urgently. However, for the study of compressor aerodynamic noise, particularly at the full operating range, experimental or numerical simulation methods are costly or long-period, which do not match engineering requirements. To fill this gap, a method based on ensemble learning is proposed to predict aerodynamic noise. In this study, 10,773 datasets were collected to establish and normalize an aerodynamic noise dataset. Four ensemble learning algorithms (random forest, extreme gradient boosting, categorical boosting (CatBoost) and light gradient boosting machine) were applied to establish the mapping functions between the total sound pressure level (SPL) of the aerodynamic noise and the speed, mass flow rate, pressure ratio and frequency of the compressor. The results showed that, among the four models, the CatBoost model had the best prediction performance with a correlation coefficient and root mean square error of 0.984798 and 0.000628, respectively. In addition, the error between the predicted total SPL and the observed value was the smallest, at only 0.37%. Therefore, the method based on the CatBoost algorithm to predict aerodynamic noise is proposed. For different operating points of the compressor, the CatBoost model had high prediction accuracy. The noise contour cloud in the predicted MAP from the CatBoost model was better at characterizing the variation in the total SPL. The maximum and minimum total SPLs were 122.53 dB and 115.42 dB, respectively. To further interpret the model, an analysis conducted by applying the Shapley Additive Explanation algorithm showed that frequency significantly affected the SPL, while the speed, mass flow rate and pressure ratio had little effect on the SPL. Therefore, the proposed method based on the CatBoost algorithm could well predict aerodynamic noise emissions from a turbocharger compressor.

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Section: Introductionmentioning

confidence: 99%

An Explainable Prediction Model for Aerodynamic Noise of an Engine Turbocharger Compressor Using an Ensemble Learning and Shapley Additive Explanations Approach

Huang,

Ni,

Qiao

et al. 2023

Sustainability

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“…The former is a series of noise peaks that occur at blade-passing frequency (BPF) and its harmonics, whereas the latter covers a wide frequency range that researchers are interested in. [13][14][15][16][17][18][19] Furthermore, ''buzz-saw'' tones are also important acoustic phenomena in a turbocharger compressor, which was introduced in the numerical and experimental work of Sharma et al [20][21][22] It is worthwhile to point out that the characteristics of compressor aerodynamic noise vary with the compressor working condition, which makes the compressor noise more complex. However, although a lot of researchers have given insights into the mechanism of compressor noise, the influence of surface roughness on turbomachinery noise emission still needs to be studied.…”

Section: Introductionmentioning

confidence: 99%

Effects of blade surface roughness on compressor performance and tonal noise emission in a marine diesel engine turbocharger

Liu

Cao

Ding

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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A numerical study was conducted to investigate the effects of blade surface roughness on compressor performance and tonal noise emission. The equivalent sand-grain roughness model was used to account for blade surface roughness, and a hybrid method that combines computational fluid dynamics and boundary element method was used to predict compressor performance and tonal noise. The numerical approach was validated against experimental data for a baseline compressor. Nine different cases with different blade surface roughness were studied in this paper, the global performance was analyzed under compressor design speed, and the tonal noise level was predicted under the design condition. The results indicate that compressor total-to-total pressure ratio and isentropic efficiency were gradually decreased with the increasing blade surface roughness. Besides, the blade total pressure loss coefficient and the efficiency loss coefficient were also increased. It was found that the reverse flow at the leading edge of compressor rotor blades reduced blade loading. The pressure fluctuation at the leading edge showed that the peak of pressure fluctuations increased as the blade surface roughness was increased. The sound pressure level at blade-passing frequency shows a significant change with variation in blade surface roughness, which results in an increased total noise level. Furthermore, it was shown that the blade surface roughness had nearly no influence on acoustic directivity, but the sound pressure level increased with the increase in roughness, especially at blade-passing frequency.

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“…External noise measurements were performed by Evans and Ward [4], Sun et al [5,6], Teng and Homco [7], Sun et al [8], Lee et al [9], and Pai et al [10,11] using free field microphones to measure the SPL of either the radiated far field noise or duct orifice noise emitted by a turbocharger compressor. Internal or in-duct noise measurements were seen in the works of Gaudé et al [12], Tiikoja et al [13], Raitor and Neise [14], Broatch et al [15], Torregrosa et al [16] and Sun et al [8].…”

Section: Introductionmentioning

confidence: 99%

Acoustic characterisation of a small high-speed centrifugal compressor with casing treatment: An experimental study

Sharma

Broatch

García-Tíscar

et al. 2019

Aerospace Science and Technology

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With the advancements in manufacturing, materials and computational methods, turbomachinery designs have become more efficient providing higher specific power and reliability with lower weight and cost. The rotational speed of turbomachines has increased while the overall machine size has decreased for a similar power output leading to the pervasive presence of small, high-speed turbomachines, specifically centrifugal compressors in helicopters, unmanned aerial vehicles (UAVs), auxiliary power units (APUs), turbochargers and micro gas turbines. In addition to superior aerodynamic performance over a wide range, increased operating speeds have made the acoustic emissions of small centrifugal compressors a critical aspect of design. Therefore, this work presents an experimental campaign to characterise the acoustic behaviour of a compressor with an intent to quantify the dominant features of the flow-induced noise for design and near surge operating conditions. Furthermore, the campaign is extended to establish the impact of the ported shroud casing treatment and operating speed on the acoustic emission of the compressor. The induct noise measurement method is used in this work to quantify the noise generated in the compressor by measuring pressure fluctuations near the inducer and diffuser while the propagation of the generated noise to the ducts is computed from an array of piezoelectric sensors. Spectra at the design operating point are dominated by tonal noise while broadband noise content is the dominant feature of spectra for near surge operation. Although the ported shroud cavity does not significantly alter the overall noise levels of the compressor operating at design condition, it does seem to propagate tonal noise. For near surge operation, the casing treatment positively impacts the acoustic emission with a reduction of approximately 10 dB in the range up to the blade pass frequency. Furthermore, various broadband features are also observed to be alleviated by the casing treatment.

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Numerical prediction of centrifugal compressor noise

Cited by 20 publications

References 5 publications

An Explainable Prediction Model for Aerodynamic Noise of an Engine Turbocharger Compressor Using an Ensemble Learning and Shapley Additive Explanations Approach

An Explainable Prediction Model for Aerodynamic Noise of an Engine Turbocharger Compressor Using an Ensemble Learning and Shapley Additive Explanations Approach

Effects of blade surface roughness on compressor performance and tonal noise emission in a marine diesel engine turbocharger

Acoustic characterisation of a small high-speed centrifugal compressor with casing treatment: An experimental study

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