Homogenization Method and Machine Learning Analysis for Improving Acoustic Properties of Laminated Sound- Absorbing Materials

Abstract

Based on the need to improve quietness in the automotive industry associated with the spread of xEVs, we are developing laminated sound-absorbing materials that combine non-woven fabrics and foam materials. In this study, we calculated the sound absorption characteristics of a large number of lamination patterns using a homogenization method, and attempted to show material design guidelines by combining them with machine learning.