Predicting the air permeability of polyester/cotton blended woven fabrics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F13%3A%230001799" target="_blank" >RIV/46747885:24410/13:#0001799 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/article/10.1007/s12221-013-1172-6" target="_blank" >http://link.springer.com/article/10.1007/s12221-013-1172-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s12221-013-1172-6" target="_blank" >10.1007/s12221-013-1172-6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Predicting the air permeability of polyester/cotton blended woven fabrics

Popis výsledku v původním jazyce

The aim of this study was to model the air permeability of polyester cotton blended woven fabrics. Fabrics of varying construction parameters i.e. yarn linear densities and thread densities were selected and tested for air permeability, fabric areal density and fabric thickness. A total of 135 different fabric constructions were tested among which 117 were allocated for development of prediction model while the remaining were utilized for its validation. Four variables were selected as input parameterson basis of statistical analysis i.e. warp yarn linear density, weft yarn linear density, ends per 25 mm and picks per 25 mm. Response surface regression was applied on the collected data set in order to develop the prediction model of the selected variables. The model showed satisfactory predictability when applied on unseen data and yielded an absolute average error of 5.1 %. The developed model can be effectively used for prediction of air permeability of the woven fabrics.

Název v anglickém jazyce

Predicting the air permeability of polyester/cotton blended woven fabrics

Popis výsledku anglicky

The aim of this study was to model the air permeability of polyester cotton blended woven fabrics. Fabrics of varying construction parameters i.e. yarn linear densities and thread densities were selected and tested for air permeability, fabric areal density and fabric thickness. A total of 135 different fabric constructions were tested among which 117 were allocated for development of prediction model while the remaining were utilized for its validation. Four variables were selected as input parameterson basis of statistical analysis i.e. warp yarn linear density, weft yarn linear density, ends per 25 mm and picks per 25 mm. Response surface regression was applied on the collected data set in order to develop the prediction model of the selected variables. The model showed satisfactory predictability when applied on unseen data and yielded an absolute average error of 5.1 %. The developed model can be effectively used for prediction of air permeability of the woven fabrics.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JJ - Ostatní materiály

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Fibers and Polymers

ISSN

1875-0052

e-ISSN

—

Svazek periodika

14

Číslo periodika v rámci svazku

7 (July 2013)

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

7

Strana od-do

1172-1178

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—