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Simplified Limp Frame Model for Application to Nanofiber Nonwovens (Selection of Dominant Biot Parameters)

This study aimed to discover an easy and precise prediction model for the acoustic properties of nanofiber nonwoven fabrics. For this purpose, a prediction model focusing on the two dominant parameters in the Limp frame model—bulk density and flow resistivity—was suggested. The propagation constant...

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Detalles Bibliográficos
Autores principales: Sakamoto, Shuichi, Shintani, Tetsushi, Hasegawa, Tsukasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9457981/
https://www.ncbi.nlm.nih.gov/pubmed/36080087
http://dx.doi.org/10.3390/nano12173050
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author Sakamoto, Shuichi
Shintani, Tetsushi
Hasegawa, Tsukasa
author_facet Sakamoto, Shuichi
Shintani, Tetsushi
Hasegawa, Tsukasa
author_sort Sakamoto, Shuichi
collection PubMed
description This study aimed to discover an easy and precise prediction model for the acoustic properties of nanofiber nonwoven fabrics. For this purpose, a prediction model focusing on the two dominant parameters in the Limp frame model—bulk density and flow resistivity—was suggested. The propagation constant and characteristic impedance was generated from the effective density and effective volume modulus generated by the predictive model and treated as a one-dimensional transfer matrix. The sound absorption coefficient was then estimated using the transfer matrix approach. The trend of the normal Incident sound absorption coefficient measured and the sound absorption coefficient obtained from the predictive model were consistent. Thus, it is suggested that the predictive model for the proposed nanofiber nonwoven composite sheet is valid.
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spelling pubmed-94579812022-09-09 Simplified Limp Frame Model for Application to Nanofiber Nonwovens (Selection of Dominant Biot Parameters) Sakamoto, Shuichi Shintani, Tetsushi Hasegawa, Tsukasa Nanomaterials (Basel) Article This study aimed to discover an easy and precise prediction model for the acoustic properties of nanofiber nonwoven fabrics. For this purpose, a prediction model focusing on the two dominant parameters in the Limp frame model—bulk density and flow resistivity—was suggested. The propagation constant and characteristic impedance was generated from the effective density and effective volume modulus generated by the predictive model and treated as a one-dimensional transfer matrix. The sound absorption coefficient was then estimated using the transfer matrix approach. The trend of the normal Incident sound absorption coefficient measured and the sound absorption coefficient obtained from the predictive model were consistent. Thus, it is suggested that the predictive model for the proposed nanofiber nonwoven composite sheet is valid. MDPI 2022-09-02 /pmc/articles/PMC9457981/ /pubmed/36080087 http://dx.doi.org/10.3390/nano12173050 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sakamoto, Shuichi
Shintani, Tetsushi
Hasegawa, Tsukasa
Simplified Limp Frame Model for Application to Nanofiber Nonwovens (Selection of Dominant Biot Parameters)
title Simplified Limp Frame Model for Application to Nanofiber Nonwovens (Selection of Dominant Biot Parameters)
title_full Simplified Limp Frame Model for Application to Nanofiber Nonwovens (Selection of Dominant Biot Parameters)
title_fullStr Simplified Limp Frame Model for Application to Nanofiber Nonwovens (Selection of Dominant Biot Parameters)
title_full_unstemmed Simplified Limp Frame Model for Application to Nanofiber Nonwovens (Selection of Dominant Biot Parameters)
title_short Simplified Limp Frame Model for Application to Nanofiber Nonwovens (Selection of Dominant Biot Parameters)
title_sort simplified limp frame model for application to nanofiber nonwovens (selection of dominant biot parameters)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9457981/
https://www.ncbi.nlm.nih.gov/pubmed/36080087
http://dx.doi.org/10.3390/nano12173050
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