On numerical prediction of the acoustic source characteristics of an engine exhaust system

1992 ◽  
Vol 92 (5) ◽  
pp. 2716-2725 ◽  
Author(s):  
V. H. Gupta ◽  
M. L. Munjal
2014 ◽  
Author(s):  
HakSon Han ◽  
ChulMin Park ◽  
JeongHoi Heo ◽  
Sang Kyu Kang

2015 ◽  
Vol 344 ◽  
pp. 126-137 ◽  
Author(s):  
Sifa Zheng ◽  
Haitao Liu ◽  
Jiabi Dan ◽  
Xiaomin Lian

2012 ◽  
Vol 134 (5) ◽  
Author(s):  
Antti Hynninen ◽  
Raimo Turunen ◽  
Mats Åbom ◽  
Hans Bodén

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.


2017 ◽  
Vol 1 (1) ◽  
pp. 10
Author(s):  
Yang Wu ◽  
He Ma

By analyzing the form of pressure wave within automotive exhaust system and relationship between propagation process and working condition of engine, simulate a work cycle for purpose of timely diagnosing troubles, thus presenting exhaust stroke of four cylinders through pressure wave; modifying of the speed of engine will affect the amplitude of pressure wave, harmonic components, phase position and other parameters; at the end of the exhaust stroke, exhaust pressure wave generates interference, superposition and negative effect, which is of great importance for analysis and diagnosis of engine troubles by using exhaust pressure wave.


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