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https://hdl.handle.net/11499/8684
Title: | Effects of material and treatment parameters on noise-control performance of compressed three-layered multifiber needle-punched nonwovens | Authors: | Yılmaz, Nazire Deniz Michielsen, S. Banks-Lee, P. Powell, N.B. |
Keywords: | biodegradable compression layered composites nonwoven sound absorption Air flow Airflow resistivity Applied pressure Compression pressures Effects of materials Fiber blends Independent variables Initial density Initial thickness Layered composites Material content Material parameter Multifibers Non-woven Nonwoven composites Nonwovens Polylactic acids Sandwiched structure Sound absorption coefficients Statistical models Three-layer Treatment parameters Absorption Air Compressibility Fibers Hemp fibers Lactic acid Nonwoven fabrics Sound insulating materials Weaving Acoustic wave absorption Biodegradability Composites Compression Hemp Insulation Lactic Acid Sound Absorption |
Abstract: | The effects of material and treatment parameters on airflow resistivity and normal-incidence sound absorption coefficient (NAC) of compressed three-layer nonwoven composites have been studied. Material parameters included fiber size and porosity, and treatment factors included applied pressure and duration of compression. Fibers used included poly(lactic acid) (PLA), polypropylene (PP), glassfiber, and hemp. Three-layered nonwoven composites were classified based on material content and fiber blend. LHL and PGP were sandwiched structures consisting of PLA/Hemp/PLA and PP/glassfiber/PP layers, respectively. PGI consisted of three layers of an intimate blend of PP and glassfiber. Statistical models were developed to predict air flow resistivity from material parameters and the change in air flow resistivity from compression parameters. Independent variables in the first model were porosity and fiber size and, in the latter model, were compressibility, pressure, and initial material parameters. An increase in air flow resistivity was found with increased compression. No significant effect of compression duration was detected. Two additional statistical models were developed for the prediction of sound absorption coefficient based on material and treatment parameters. The independent variables of the first model were air flow resistivity, thickness, and frequency, and those of the second model were compressibility, initial thickness, and initial density of the composite, diameter and density of the fiber, compression pressure, and frequency. A decrease in sound absorption coefficient was detected with increasing compression, while no effect of duration was detected. © 2011 Wiley Periodicals, Inc. | URI: | https://hdl.handle.net/11499/8684 https://doi.org/10.1002/app.34712 |
ISSN: | 0021-8995 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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