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Evaluation of the Acoustic Performance of Polyurethane Foams Embedded With Rock Wool Fibers at Low-Frequency Range; Design and Construction Publisher



Mohammadi B1 ; Safaiyan A2 ; Habibi P3 ; Moradi G1
Authors
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Authors Affiliations
  1. 1. Department of Occupational Health Engineering, School of Public Health, Tabriz University of Medical Sciences, Tabriz, Iran
  2. 2. Department of Biostatistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran
  3. 3. Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

Source: Applied Acoustics Published:2021


Abstract

The present study aimed to focus on improving acoustic and mechanical characteristics by embedding the polyurethane foam (PUF) with the rock wool fibers (RWF) of diverse values (0–3 wt%) that were synthesized using the polymerization process. In addition, the association between non-acoustical parameters and sound absorption characteristics of the porous polyurethane foams was investigated. Moreover, indicators of effective non-acoustic parameters, including air-flow resistance (AFR), porosity, volumetric density, and microstructure were determined. The results showed sound absorption properties were highly enhanced when polyurethane composite foam (PUF/RWF) (i.e. 1, 2, and 3 wt%) were used, as compared to the pristine PUF. Furthermore, the sound absorption coefficient (SAC) of PUF composite was highly enhanced in the frequency range of 400 to 1600 Hz when the foam was combined with an RWF amount of 2 wt%. Besides, the density and AFR increased with the addition of different contents of RWF. Open porosity composite foams strongly depended on AFR and volumetric density (i.e. a negative association with RWF content). The use of the excessive amount of the RWF (RWF > 2 wt%) caused intramolecular agglomeration, which resulted in reduced sound absorption efficiency. Finally, multiple regression analysis was used to investigate the association between SAC and non-acoustic parameters, including AFR, porosity, volumetric density, and RWF amount, which revealed a well proportion between experimental data and statistical analysis. © 2021 Elsevier Ltd