Numerical studies on constrained venting system with reactive mufflers by GA optimization

While the space volume of mufflers in a venting system gets constrained, shape optimization to maximize the muffler’s performance becomes important and essential. This paper presents a genetic algorithm (GA) for the optimal shape design of mufflers. The four-pole matrix method which was adopted in evaluating the acoustic performance of sound transmission loss (STL) is used in conjunction with the GA techniques. Case studies of the full band noise inside a venting system are exemplified by the reactive mufflers. Before the GA operation, several examples are tested and compared with the experimental data for accuracy check of the mathematical models. Consequently, GA can provide a quick and effective way for a muffler design work