Application of Acoustical Method to Characterize Nonwoven Material
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F21%3A00008213" target="_blank" >RIV/46747885:24210/21:00008213 - isvavai.cz</a>
Alternative codes found
RIV/46747885:24410/21:00008213 RIV/46747885:24620/21:00008213
Result on the web
<a href="https://link.springer.com/article/10.1007/s12221-021-9958-4" target="_blank" >https://link.springer.com/article/10.1007/s12221-021-9958-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12221-021-9958-4" target="_blank" >10.1007/s12221-021-9958-4</a>
Alternative languages
Result language
angličtina
Original language name
Application of Acoustical Method to Characterize Nonwoven Material
Original language description
Some structural parameters, such as tortuosity, viscous and thermal characteristic lengths, are difficult to obtain through direct measurements. Existing indirect methods, i.e. acoustical method, make it possible to estimate these parameters. This paper presents an application of acoustical inversion methods for estimating structural parameters of polyester nonwoven materials. A four-microphone impedance tube was used to measure sound reflection and transmission coefficients. The inversion methods used in this research are least square and Bayesian approaches. The least square method was achieved via Nelder-Mead algorithm. The Bayesian inversion process was conducted with Metropolis-Hastings algorithm and maximum a posteriori. Inversed parameters from two methods as well as front and back sides of nonwoven fabric were compared. Moreover, inversed porosity and airflow resistivity were compared with measured values. The results show that the least square and Bayesian methods has a good agreement. Estimated parameters from Bayesian method were selected for further analysis. A sizable differences on thermal characteristic length were found by comparing the values from two sides, while the differences are relatively small for other parameters. It is also found that the inversed porosity, tortuosity are reasonable. The results suggest that the acoustical inversion methods can be used to accurately characterize polyester fibrous materials.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20503 - Textiles; including synthetic dyes, colours, fibres (nanoscale materials to be 2.10; biomaterials to be 2.9)
Result continuities
Project
<a href="/en/project/EF16_025%2F0007293" target="_blank" >EF16_025/0007293: Modular platform for autonomous chassis of specialized electric vehicles for freight and equipment transportation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Fibers and Polymers
ISSN
1229-9197
e-ISSN
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Volume of the periodical
22
Issue of the periodical within the volume
3
Country of publishing house
KR - KOREA, REPUBLIC OF
Number of pages
10
Pages from-to
831-840
UT code for WoS article
000612136100004
EID of the result in the Scopus database
2-s2.0-85100124204