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October 7, 2025Buildings8 citationsOpen Access

Sound Absorption and Thermal Insulation by Polyurethane Foams Reinforced with Bio-Based Lignocellulosic Fillers: Data and Modeling

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BMBatol MasruriETEbrahim TabanAKAli Khavanin

Key Points

  • Sawdust-reinforced polyurethane foam shows nearly 10% increase in sound absorption averages compared to pure foam.
  • Effective thermal conductivity measured at 0.044 W/mK demonstrates good thermal insulation properties.
  • The Johnson–Champoux–Allard–Lafarge model predicts acoustic performance, though some parameters lack physical plausibility.
  • Samples with larger thicknesses enhance low- and mid-frequency absorption, shifting resonance peaks to lower frequencies.

Abstract

The acoustic, thermal, and mechanical performances of sawdust-reinforced polyurethane (PU) foam are investigated for different thicknesses and varying mesh sizes. Acoustic properties are explored using a combination of impedance tube testing and mathematical modeling with the Johnson–Champoux–Allard–Lafarge (JCAL) model, a simplified JCAL model and a model of non-uniform cylindrical pores with a log-normal radius distribution (NUPSD). Thermal Insulation and mechanical properties are determined by measuring the effective thermal conductivity (Keff) and by tensile strength tests, respectively. Compared with pure PU foam, the presence of sawdust matches noise reduction coefficients (NRC) and increases sound absorption averages (SAA) by nearly 10%. Increasing thickness and width of backing air gap have the usual effects of improving low- and mid-frequency absorption and shifting resonance peaks toward lower frequencies. As well as superior acoustic performance, samples with Mesh 16 sawdust reinforcement provide both useful insulation (Keff = 0.044 W/mK) and tensile strength (~0.06 MPa), confirming their multifunctionality. Although the JCAL model provides reasonable fits to the sound absorption data, some of the fitted parameter values are unphysical. Predictions of the NUPSD model are relatively poor but improve with sample thickness and after fiber addition.

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Cite This Study

Masruri et al. (2025) studied this question.

synapsesocial.com/papers/68e585d0b1e78cc4e5f4659dhttps://doi.org/10.3390/buildings15193590
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