Noise optimization of a regenerative automotive fuel pump

J. F. Wang, H. H. Feng, X. L. Mou, Y. X. Huang

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Abstract

The regenerative pump used in automotive is facing a noise problem. To understand the mechanism in detail, Computational Fluid Dynamics (CFD) and Computational Acoustic Analysis (CAA) together were used to understand the fluid and acoustic characteristics of the fuel pump using ANSYS-CFX 15.0 and LMS Virtual. Lab Rev12, respectively. The CFD model and acoustical model were validated by mass flow rate test and sound pressure test, respectively. Comparing the computational and experimental results shows that sound pressure levels at the observer position are consistent at high frequencies, especially at blade passing frequency. After validating the models, several numerical models were analyzed in the study for noise improvement. It is observed that for configuration having greater number of impeller blades, noise level was significantly improved at blade passing frequency, when compared to that of the original model.

Original languageEnglish
Article number012035
JournalIOP Conference Series: Materials Science and Engineering
Volume187
Issue number1
DOIs
Publication statusPublished - 23 Mar 2017
Event2016 2nd International Conference on Mechanical and Aeronautical Engineering, ICMAE 2016 - Hong Kong, Hong Kong
Duration: 28 Dec 201630 Dec 2016

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Wang, J. F., Feng, H. H., Mou, X. L., & Huang, Y. X. (2017). Noise optimization of a regenerative automotive fuel pump. IOP Conference Series: Materials Science and Engineering, 187(1), Article 012035. https://doi.org/10.1088/1757-899X/187/1/012035