Identification of influence factors on physical-mechanical properties, using the principal component analysis, in selecting the textile fabrics for the clothing products

The paper aims to highlight the correlations between the physical-mechanical properties of woven fabrics made of combed wool yarn with different fibrous compositions, using the Principal Component Analysis (PCA) method. Based on the information on each fabric/assortment group, it is found that four...

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Bibliographic Details
Published inIndustria textilă (Bucharest, Romania : 1994) Vol. 71; no. 5; pp. 438 - 445
Main Authors Hristian, Liliana, Ostafe, Maria Magdalena, Dulgheru, Ionut, Buhu, Liliana, Buhu, Adrian, Negru, Daniela
Format Journal Article
LanguageEnglish
Published Bucharest The National Research & Development Institute for Textiles and Leather - INCDTP 01.01.2020
Subjects
Deformation
Mechanical properties
Permeability
Principal components analysis
Raw materials
Variables
Wool
Woven fabrics
Yarn
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Summary:The paper aims to highlight the correlations between the physical-mechanical properties of woven fabrics made of combed wool yarn with different fibrous compositions, using the Principal Component Analysis (PCA) method. Based on the information on each fabric/assortment group, it is found that four main factors were extracted: durability, comfort, production price and fabric design. The extracted components explain 92% of the variability of the twelve initial inter-correlated variables, so that we can considerably reduce the complexity of the data configured using these components, with only 8% loss of information. This technique that follows the controlled reduction of the number of variables can be used subsequently for modelling the physical-mechanical properties of the fabrics and for selecting the most suitable fabrics to satisfy the requirements of a particular field of use
ISSN:1222-5347
DOI:10.35530/IT.071.05.1754