A Numerical Method for the Prediction of Exhaust Noise in Internal Combustion Engine Exhaust Systems

1993 ◽  
Author(s):  
M M. Ghafouri ◽  
G. Ricci
1999 ◽  
Vol 105 (2) ◽  
pp. 1285-1285
Author(s):  
Mondher Ayadi ◽  
Slaheddine Frikha ◽  
Pierre Yves Hennion ◽  
Jean Michel Coulon

2011 ◽  
Vol 66-68 ◽  
pp. 1823-1827
Author(s):  
Yun Liang Yu ◽  
Zhong Yi Wang ◽  
Shu Guang Chu ◽  
Jia Han

Exhaust noise is the major noise source of the internal combustion engines, and the exhaust silencer is the device to reduce the exhaust noise. Exhaust gas of the internal combustion engine is high-temperature, therefore in the study of internal combustion engine exhaust silencer, the surface temperature’s influence on the surrounding adjacent facilities should be controlled to a certain range and the status of the temperature field depends on the material and structure of the adiabatic envelope. The model of exhaust silencers discussed in this article is fluid-solid interaction model and this paper uses the CFD software for numerical simulation of the model. Using appropriate boundary conditions, calculation models and silencer model with heat transfer surface, this paper uses N-S equation and standard turbulent model to simulate the flow field and wall temperature field inside the silencer, and does post-processing analysis of the results.


2013 ◽  
Vol 805-806 ◽  
pp. 1861-1864
Author(s):  
Jian Kun Xiao ◽  
Dai Fen Chen ◽  
Zhao Wang Xia

On type 380 diesel engine, orthogonal experimental studying on exhaust noise was carried out. This is to study the influence factors and degree on exhaust noise of internal combustion engine, and determine the main and secondary influence factors on diesel exhaust noise and their interaction. A noise prediction equations was established by studying the test samples based on genetic algorithm neural network. The results is very precise by test.


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