Quantitative Analysis of Predictors of Acoustic Materials for Noise Reduction as Sustainable Strategies for Materials in the Automotive Industry

This study proposes a qualitative analysis for identifying the best predictors for ensuring passive noise control, aiming to achieve superior acoustic comfort in transportation systems. The study is based on real experimental data, collected through acoustic measurements performed by the authors on...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2024-11, Vol.14 (22), p.10400
Main Authors: Cășeriu, Bianca-Mihaela, Gabor, Manuela-Rozalia, Blaga, Petruța, Veres, Cristina
Format: Article
Language:English
Subjects:
acoustic performance
Acoustic properties
Acoustics
Artificial intelligence
Automobile industry
Automobile safety
best predictors of acoustic materials
Emission standards
Energy efficiency
experimental data
Innovations
medium frequency
Noise control
Sound
sound-absorption properties
statistical methods
Sustainable development
Sustainable materials
Transportation equipment industry
Vehicles
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study proposes a qualitative analysis for identifying the best predictors for ensuring passive noise control, aiming to achieve superior acoustic comfort in transportation systems. The study is based on real experimental data, collected through acoustic measurements performed by the authors on materials from six different classes and employs a multidisciplinary approach, including Mann–Whitney U tests, Kruskal–Wallis analysis with Dunn’s post hoc multiple comparisons and multilinear regression. This research presents an analysis and evaluation of how the physical properties of various materials influence acoustic comfort, acoustic absorption class and absorption class performance and proposes quantitative models for material selection to address sustainable strategies in the automotive industry. The results highlight significant differences between material categories in terms of acoustic absorption properties and demonstrate the importance of rigorous material selection in vehicle design to enhance acoustic comfort. Additionally, the research contributes to the development of predictive models that estimate acoustic performance based on the physical properties of materials, providing a basis for optimizing material selection in the design phase.
ISSN:2076-3417
2076-3417
DOI:10.3390/app142210400