TENSILE DEFORMATION OF STRETCH FABRIC FOR SPORTSWEAR

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F16%3A00002985" target="_blank" >RIV/46747885:24410/16:00002985 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.44trsiitd.com/" target="_blank" >http://www.44trsiitd.com/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

TENSILE DEFORMATION OF STRETCH FABRIC FOR SPORTSWEAR

Popis výsledku v původním jazyce

A study of stretch deformation by digital image analysis, a robust and straight forward non-contacting method based on gradient deformation tensor concept was described. The estimation of knitted fabric extension deformation properties using image analysis of distinct dots applied on the test specimen was performed. The image analysis algorithm of gradient deformation tensor was developed to automatically track the motions of the dots and compute their centroid coordinates in a sequence of images before and after particular extension percentage. The validation of obtained results with simulated images obtained from MATLAB image processing toolbox showed accurate implementation of gradient deformation tensor concept for determination of elastic distribution properties of knitted fabrics. The results of gradient deformation tensor found to change in similar percentage for each case, which proved accurate estimation of image analysisThe outcomes of the simulation on the 3D pattern construction and the virtual mannequin evaluates tension mapping results. It is clear from the table 3 and that the value of stretch for the fabric (92% PA and 8% Elastane) in X direction is 22.90 % of stretch and this fabric in course direction has very high extensibility of 22.67 fg/cm, which is a maximum simulation tension.

Název v anglickém jazyce

TENSILE DEFORMATION OF STRETCH FABRIC FOR SPORTSWEAR

Popis výsledku anglicky

A study of stretch deformation by digital image analysis, a robust and straight forward non-contacting method based on gradient deformation tensor concept was described. The estimation of knitted fabric extension deformation properties using image analysis of distinct dots applied on the test specimen was performed. The image analysis algorithm of gradient deformation tensor was developed to automatically track the motions of the dots and compute their centroid coordinates in a sequence of images before and after particular extension percentage. The validation of obtained results with simulated images obtained from MATLAB image processing toolbox showed accurate implementation of gradient deformation tensor concept for determination of elastic distribution properties of knitted fabrics. The results of gradient deformation tensor found to change in similar percentage for each case, which proved accurate estimation of image analysisThe outcomes of the simulation on the 3D pattern construction and the virtual mannequin evaluates tension mapping results. It is clear from the table 3 and that the value of stretch for the fabric (92% PA and 8% Elastane) in X direction is 22.90 % of stretch and this fabric in course direction has very high extensibility of 22.67 fg/cm, which is a maximum simulation tension.

Druh

O - Ostatní výsledky

CEP obor

JJ - Ostatní materiály

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů