Prediction Of Interior Trim Absorption Using Statistical Energy Analysis – Essay Example

The paper “Prediction Of Interior Trim Absorption Using Statistical Energy Analysis” is an excellent example of an essay on engineering&construction.
For the last 40 years, mid and low- frequency road vehicles internal noise has been of concern to both the customers and the manufacturers. Experiment using Impedance tube were conducted on two nonwoven mats used in many automotive interior applications with the aim of coming up with techniques to predict noise. With the advancement in the CAE technology, a simulation was conducted using Statistical Energy Analysis software. The simulation requires intrinsic properties of the test sample materials. These properties are measured using standardized test rigs and inverse techniques. Correlation between simulation and experiment showed good results that would help in creating a database of interior trim materials. This has been accompanied by the publication of many journals; s giving the suggestion of what can be done to reduce the level of noise. It is very important for the manufacturers to rate the level of noise in the early stages of manufacture. This will help in avoiding very expensive mistakes. This article is a summary of the publications made on how to reduce the level of noise at the early stages, there have been developments of reduced noise techniques as a result of the exploration of the science of acoustic (Cliff Kaminsky, 2011). It has proved that the infinite technique used to predict noise, the FEM or BEM, the boundary element technique are the only accurate and reliable ways of approximation noise. However, this paper research touches on the low and moderate frequencies structure of noise. If these methods have proved to be applicable in the low and medium, it is practically applicable in the high frequencies as well. In predicting structure bone noise, statistical energy technique has been proved to be an important tool as one of the recent SEA/FEM hybrid methods. Further research has shown that the hybrid methods can be used more appropriately in predicting noise with broader frequencies ranges than it was known previously. This will assist the NVH engineer to optimize the new interior trim concept and make a significant contribution to save time and cost (Cliff Kaminsky, 2011).