Please use this identifier to cite or link to this item: 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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