Multi-objective optimisation of automobile sound package with non-smooth surface based on grey theory and particle swarm optimisation

Abstract

This paper studies a multi-objective optimisation design of the sound package with non-smooth surface, for enhancing the acoustic performance and reducing the material weight. The sound absorption performances of porous materials were predicted by using two-microphone transfer function method combined with finite element method (FEM). Smooth surface and triangular surface were chosen for analysis to compare sound absorption performances. Moreover, an orthogonal experiment was designed to compare sound absorption performance and material mass among different sound packages. Thus, the multi-objective design was converted into a single objective with grey correlation degree. Furthermore, the average grey correlation degree of parameter variables was analysed. On this basis, the optimal combination was selected by using particle swarm optimisation (PSO) algorithm. From the optimisation data, triangular surface sound package material with the optimal surface parameters and thickness was numerically simulated. The simulation result shows that sound absorption performance was improved while the material mass decreased.