Shape Optimal Design on Double-Chamber Mufflers Using Simulated Annealing and a Genetic Algorithm

Whilst the space volume of mufflers in a noise control system is often constrained for maintenance and operation in practical engineering work, the maximization of the muffler’s performance becomes essential. In this paper, both simulated annealing (SA) and a genetic algorithm (GA) are applied simultaneously. A numerical case of pure tone noise control is introduced. Before optimization, one example is tested and compared with the experimental data for the accuracy check of the mathematical model. The results reveal that the GA is more accurate than SA during the optimal process with a fixed iteration. Under space constraints, this approach provides a quick and novel scheme for the design of double-chamber mufflers.