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research-article

Numerical Prediction of the Sources and the Modal Content of the Acoustic Field in a Radial Compressor Outflow

[+] Author and Article Information
Marius C. Banica

ABB Turbocharging Bruggerstrasse 71a, 5400 Baden, Switzerland
marius.banica@ch.abb.com

Peter Limacher

ABB Turbocharging Bruggerstrasse 71a, 5400 Baden, Switzerland
peter.limacher@ch.abb.com

Heinz-Juergen Feld

ABB Turbocharging Bruggerstrasse 71a, 5400 Baden, Switzerland
heinz-juergen.feld@ch.abb.com

Carsten Spinder

ABB Turbocharging Bruggerstrasse 71a, 5400 Baden, Switzerland
carsten.spinder@ch.abb.com

1Corresponding author.

ASME doi:10.1115/1.4036284 History: Received October 04, 2016; Revised February 21, 2017

Abstract

In large modern turbochargers, transonic compressors often constitute the main source of noise, with a frequency spectrum typically dominated by tonal noise at the blade passing frequency (BPF) and its harmonics. Inflow BPF noise is mainly generated by rotor locked shock fronts. Outflow noise, while also dominated by BPF tones, is linked to more complex source mechanisms. Its modal structure and the relationships between sources and modal sound pressure levels (SPL) are less well understood and its numerical analysis is, in general, significantly more complex than for compressor inflows. To shed some light on the outflow acoustic characteristics of radial machines, transient simulations of a 360° model of a radial compressor stage, including its vaned diffuser and volute, were carried out. Four increasingly finer grids were used for this purpose. On all grids, numerical damping had detrimental effects on prediction quality. A simple and mathematically sound method is proposed to account for this damping. With it, the global outflow acoustic power level (PWLg) is predicted to within an accuracy of 2dB of the experimental result on the finest grid. This shows that satisfactory accuracy can be obtained with state-of-the-art CFD codes if care is taken with the simulation setup. The simulations are further validated with experimental data from 17 transient wall pressure sensors.

Copyright (c) 2017 by ASME
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