About: A stochastic approach to yarn strength     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • The standard measurement of yarn strength is carried out at 500 mm gauge length. However, in practice, yarns experience stresses at different lengths. Therefore, it is necessary to estimate the descriptive statistical parameters of yarn strength at diffelengths and to observe the distribution of yarn strength values along the yarn. In this present research work, yarn strength is considered as a stationary, ergodic, Marcovian, and Gaussian (SEMG) stochastic process and the strength of adjacent yarn sections of a gauge length longer than the longest fiber length is measured in a consecutive manner by a special methodology. On the basis of these strength values, we have simulated the response of yarn strength at any gauge length. The results of our computer simulation are also verified with the actual strength values and compared with F. T. Peirce's strength model. In order to better understanding of the causes of yarn strength variability, autocorrelation function is used to analyze the str
  • The standard measurement of yarn strength is carried out at 500 mm gauge length. However, in practice, yarns experience stresses at different lengths. Therefore, it is necessary to estimate the descriptive statistical parameters of yarn strength at diffelengths and to observe the distribution of yarn strength values along the yarn. In this present research work, yarn strength is considered as a stationary, ergodic, Marcovian, and Gaussian (SEMG) stochastic process and the strength of adjacent yarn sections of a gauge length longer than the longest fiber length is measured in a consecutive manner by a special methodology. On the basis of these strength values, we have simulated the response of yarn strength at any gauge length. The results of our computer simulation are also verified with the actual strength values and compared with F. T. Peirce's strength model. In order to better understanding of the causes of yarn strength variability, autocorrelation function is used to analyze the str (en)
Title
  • A stochastic approach to yarn strength
  • A stochastic approach to yarn strength (en)
skos:prefLabel
  • A stochastic approach to yarn strength
  • A stochastic approach to yarn strength (en)
skos:notation
  • RIV/46747885:24410/03:00000056!RIV/2004/GA0/244104/N
http://linked.open.../vavai/riv/strany
  • 145;154
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA106/01/0565)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 597173
http://linked.open...ai/riv/idVysledku
  • RIV/46747885:24410/03:00000056
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • measurement of yarn strength;computer simulation; autocorrelation function (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5F1323262D1F]
http://linked.open...v/mistoKonaniAkce
  • Delhi, India
http://linked.open...i/riv/mistoVydani
  • Delhi, India
http://linked.open...i/riv/nazevZdroje
  • 7th Asian Textile Conference
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Das, Dipayan
  • Neckář, Bohuslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Indian Institute of Technology, Delhi, India
http://localhost/t...ganizacniJednotka
  • 24410
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 67 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software