Identification of influence factors on physical-mechanical properties,
using the principal component analysis, in selecting the textile fabrics
for the clothing products
Author:
Hristian Liliana1,
Ostafe Maria Magdalena1,
Dulgheru Ionut1,
Buhu Liliana1,
Buhu Adrian1,
Negru Daniela1
Affiliation:
1. Technical University “Gheorghe Asachi” Iași, Faculty of Industrial Design and Business Management, 29 Bld. Prof.dr.doc. Dimitrie Mangeron, 700050, Iași, Romania
Abstract
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
Publisher
The National Research and Development Institute for Textiles and Leather
Subject
Polymers and Plastics,General Environmental Science,General Business, Management and Accounting,Materials Science (miscellaneous)
Cited by
1 articles.
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