Analysis of cotton blended yarns irregularity
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F13%3A%230001671" target="_blank" >RIV/46747885:24410/13:#0001671 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Analysis of cotton blended yarns irregularity
Original language description
The paper is focused on the analysis of irregularity of combed yarns made from various blending ratios of CO/PL. The level of irregularity (CV) is evaluated in relation to the percentage representation of cotton in a yarn. Yarn irregularity is measured by a capacitive method (the apparatus Uster Tester IV-SX) and simultaneously by an optical method (the device QQM-3). The results showed a statistically significant effect of percentage representation of cotton in the yarn on both type of CV of yarn on short cut lengths. To clarify the obtained results of mass irregularity, the limiting yarn irregularity is analyzed in the relation to the parameters of raw material and yarn count. Concurrently, the modulus of relative transfer function of drafting mechanism is applied. The results of capacitive and optical measurement methods are compared too.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JJ - Other materials
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Vlakna a Textil
ISSN
1335-0617
e-ISSN
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Volume of the periodical
20
Issue of the periodical within the volume
2
Country of publishing house
SK - SLOVAKIA
Number of pages
11
Pages from-to
21-31
UT code for WoS article
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EID of the result in the Scopus database
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