Image Analysis for Characterizing Tensile Deformation of Knitted Fabric
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F17%3A00004998" target="_blank" >RIV/46747885:24410/17:00004998 - isvavai.cz</a>
Výsledek na webu
<a href="http://vat.ft.tul.cz/Archive/VaT_2017_2.pdf" target="_blank" >http://vat.ft.tul.cz/Archive/VaT_2017_2.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Image Analysis for Characterizing Tensile Deformation of Knitted Fabric
Popis výsledku v původním jazyce
Elastic fabrics are considered to be of high importance to produce garments with comfortable fitting to the human body. However, the compression resulting from the tight-fitting of such clothing tends to generate high-pressure and discomfort while wearing them. In order to design comfortable knitted garments, it is necessary to predict their distribution of elastic behavior across different body sizes. The standard tensile testing methods are not sufficient to explain distribution of these elastic properties. When digital image analysis technique is adjusted to the standard tensile test method, more detailed study and additional results can be obtained. This work presented the digital image analysis method for the measurement of local deformations of knitted fabrics during tensile testing. The distributions of elastic properties of fabric under different levels of stretching were determined. The image analysis approach was selected to calculate the gradient deformation tensor under the extension ranging from 10 to 40% in respective course, wale and bias directions. The gradient deformation tensors were obtained by analysis of movements of dots painted on the specimen. In this way, the outcome of this work will help to construct knitted fabric structures with appropriate pressure distribution for comfortable body fitting.
Název v anglickém jazyce
Image Analysis for Characterizing Tensile Deformation of Knitted Fabric
Popis výsledku anglicky
Elastic fabrics are considered to be of high importance to produce garments with comfortable fitting to the human body. However, the compression resulting from the tight-fitting of such clothing tends to generate high-pressure and discomfort while wearing them. In order to design comfortable knitted garments, it is necessary to predict their distribution of elastic behavior across different body sizes. The standard tensile testing methods are not sufficient to explain distribution of these elastic properties. When digital image analysis technique is adjusted to the standard tensile test method, more detailed study and additional results can be obtained. This work presented the digital image analysis method for the measurement of local deformations of knitted fabrics during tensile testing. The distributions of elastic properties of fabric under different levels of stretching were determined. The image analysis approach was selected to calculate the gradient deformation tensor under the extension ranging from 10 to 40% in respective course, wale and bias directions. The gradient deformation tensors were obtained by analysis of movements of dots painted on the specimen. In this way, the outcome of this work will help to construct knitted fabric structures with appropriate pressure distribution for comfortable body fitting.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
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OECD FORD obor
20503 - Textiles; including synthetic dyes, colours, fibres (nanoscale materials to be 2.10; biomaterials to be 2.9)
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Vlakna a Textil
ISSN
1335-0617
e-ISSN
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Svazek periodika
24
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
SK - Slovenská republika
Počet stran výsledku
5
Strana od-do
54-58
Kód UT WoS článku
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EID výsledku v databázi Scopus
2-s2.0-85026633213