IC-Engine Exhaust and Intake System Acoustic Source Characterization

2014 ◽  
Vol 7 (3) ◽  
pp. 1579-1584 ◽  
Author(s):  
Hans Boden
Keyword(s):  
Source Characterization ◽  
Acoustic Source ◽  
Engine Exhaust ◽  
Ic Engine ◽  
Intake System

scholarly journals IC-engine acoustic source characterization in-situ with capsule tube method

2017 ◽  
Vol 126 ◽  
pp. 1-18
Author(s):  
Antti Hynninen ◽  
Heikki Isomoisio ◽  
Jukka Tanttari
Keyword(s):  
Source Characterization ◽  
Acoustic Source ◽  
Ic Engine

scholarly journals Acoustic Source Data for Medium Speed IC-Engines

2012 ◽  
Vol 134 (5) ◽  
Author(s):  
Antti Hynninen ◽  
Raimo Turunen ◽  
Mats Åbom ◽  
Hans Bodén
Keyword(s):  
High Frequency ◽  
Internal Combustion Engines ◽  
Low Frequency ◽  
Acoustic Source ◽  
Ic Engine ◽  
Source Characteristics ◽  
Medium Speed ◽  
Source Data ◽  
Exhaust Noise ◽  
Ic Engines

Knowledge of the acoustic source characteristics of internal combustion engines (IC-engines) is of great importance when designing the exhaust duct system and its components to withstand the resulting dynamic loads and to reduce the exhaust noise emission. The goal of the present study is to numerically and experimentally investigate the medium speed IC-engine acoustic source characteristics, not only in the plane wave range but also in the high frequency range. The low frequency acoustic source characteristics were predicted by simulating the acoustic multiload measurements by using a one-dimensional process simulation code. The low frequency in-duct exhaust noise of a medium speed IC-engine can be quite accurately predicted. The high frequency source data is estimated by averaging the measured acoustic pressures with different methods; using the simple cross-spectra averaging method seems promising in this instance.

Aero-Acoustic Source Characterization for Flow-Driven Resonators Using Helmholtz Vector Field Decomposition

2011 ◽  
Author(s):  
Helmut Kuehnelt ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
Ch. Tsitouras ◽  
Zacharias Anastassi
Keyword(s):  
Vector Field ◽  
Source Characterization ◽  
Acoustic Source

Open-source software for the application of microphone array methods

2017 ◽  
Vol 48 (3-4) ◽  
pp. 44-51 ◽  
Author(s):  
Gert Herold ◽  
Ennes Sarradj
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Time Domain ◽  
Microphone Array ◽  
Synthetic Data ◽  
Object Oriented ◽  
Source Characterization ◽  
Acoustic Source ◽  
Array Data ◽  
Flexible Programming

The open-source Python library Acoular is aimed at the processing of microphone array data. It features a number of algorithms for acoustic source characterization in time domain and frequency domain. The modular, object-oriented architecture allows for flexible programming and a multitude of applications. This includes the processing of measured array data, the mapping of sources, the filtering of subcomponent noise, and the generation of synthetic data for test purposes. Several examples illustrating its versatility are given, as well as one example for implementing a new algorithm into the package.

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