An Investigation of the Duct Shape Optimization Considering Noise Muffling Performance and Air Permeability

Abstract

The main topic of this study is a shape design of a noise eliminating duct. In order to enhance the noise muffling performance of an eliminating duct, jumps in the cross-section or bends are adapted to the duct. However, jumps in the cross-section or bends interrupt the flow of wind and impair air permeability. Thus, the noise muffling performance and ventilation performance of a noise eliminating are related to the trade-off. In order to realize a duct with high muffling capability and high ventilation performance, the shape optimization method using multi-objective genetic algorithm (MOGA) is used to decide optimal shape of the eliminating duct in this study.