This paper reports the effect of woven fabric
construction on macroporosity properties. The area of a
macropore's cross section, equivalent, maximum, and
minimum pore diameters, pore density, and open porosity
are observed in this research involving woven fabric
construction parameters-yarn linear density, fabric
tightness, weave type, and denting. Predictive models,
determined by genetic programming, are derived to
describe the influence of fabric construction. The
results show very good agreement between the
experimental and predicted values. This work provides
guidelines for engineering staple-yarn cotton fabrics
in a grey state in terms of macroporosity properties.
%0 Journal Article
%1 Dobnik-Dubrovski:2002:TRL
%A Dobnik Dubrovski, Polona
%A Brezocnik, Miran
%D 2002
%I Sage
%J Textile research journal
%K algorithms, cotton fabrics, genetic macroporosity, modelling programming, woven
%N 3
%P 187--194
%R doi:10.1177/004051750207200301
%T Using genetic programming to predict the macroporosity
of woven cotton fabrics
%U http://cat.inist.fr/?aModele=afficheN&cpsidt=13560450
%V 72
%X This paper reports the effect of woven fabric
construction on macroporosity properties. The area of a
macropore's cross section, equivalent, maximum, and
minimum pore diameters, pore density, and open porosity
are observed in this research involving woven fabric
construction parameters-yarn linear density, fabric
tightness, weave type, and denting. Predictive models,
determined by genetic programming, are derived to
describe the influence of fabric construction. The
results show very good agreement between the
experimental and predicted values. This work provides
guidelines for engineering staple-yarn cotton fabrics
in a grey state in terms of macroporosity properties.
@article{Dobnik-Dubrovski:2002:TRL,
abstract = {This paper reports the effect of woven fabric
construction on macroporosity properties. The area of a
macropore's cross section, equivalent, maximum, and
minimum pore diameters, pore density, and open porosity
are observed in this research involving woven fabric
construction parameters-yarn linear density, fabric
tightness, weave type, and denting. Predictive models,
determined by genetic programming, are derived to
describe the influence of fabric construction. The
results show very good agreement between the
experimental and predicted values. This work provides
guidelines for engineering staple-yarn cotton fabrics
in a grey state in terms of macroporosity properties.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {{Dobnik Dubrovski}, Polona and Brezocnik, Miran},
biburl = {https://www.bibsonomy.org/bibtex/25cbec4c1723d540c3bc05c303170c11f/brazovayeye},
doi = {doi:10.1177/004051750207200301},
email = {mbrezocnik@uni-mb.si},
interhash = {512cdb3494002d76e3f4789169698369},
intrahash = {5cbec4c1723d540c3bc05c303170c11f},
issn = {0040-5175},
journal = {Textile research journal},
keywords = {algorithms, cotton fabrics, genetic macroporosity, modelling programming, woven},
month = {March},
number = 3,
pages = {187--194},
publisher = {Sage},
timestamp = {2008-06-19T17:38:48.000+0200},
title = {Using genetic programming to predict the macroporosity
of woven cotton fabrics},
url = {http://cat.inist.fr/?aModele=afficheN&cpsidt=13560450},
volume = 72,
year = 2002
}