Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models

• Autorzy: Malek Sarah , Khedher Faouzi , Adolphe Dominique C. , Jaouachi Boubaker

Identyfikatory

DOI

10.2478/aut-2019-0051

• Języki publikacji: EN

Abstrakty

EN

This work deals with determination of rapid and precise methods to predict the amount of sewing thread needed to sew a garment using different chain stitches of the class 400 (from 401 to 407 chain stitches). At first, to avoid unused stocks, sewing consumption value was determined using a geometrical method (based on different chain stitch shapes). The prediction of the sewing thread consumption was proposed as a function of the studied input parameters, which are fabric thickness, stitch density, yarn linear density, and stitch width. Then, a statistical method based on the multilinear regression was studied. Geometrical and statistical results were discussed. Based on the R2 range, we concluded that the geometrical method is more accurate than the statistical one (from 98.16 to 99.19% and from 97.30 to 98.51%, respectively). Thus, this result encourages industrialists to use geometrical models to predict thread consumption. Also, all studied parameters, contributing to the sewing thread consumption behavior, were investigated and analyzed. The result shows that the most important parameters affecting thread consumption are stitch density followed by stitch width and fabric thickness. The yarn density has a low contribution on the thread consumption value.

Słowa kluczowe

EN

thread consumption; chain stitches of class-400; geometrical model; multi-linear regression models; input parameters

PL

zużycie nici; ściegi łańcuszkowe; model geometryczny; modele regresji wieloliniowej; parametry wejściowe

• Wydawca: Lodz University of Technology, Faculty of Material Technologies and Textile Design
• Czasopismo: Autex Research Journal
• Rocznik: 2021
• Tom: Vol. 21, no. 1
• Strony: 52--62
• Opis fizyczny: Bibliogr. 21 poz.

Twórcy

autor

Malek Sarah

• Laboratory of Textile Engineering, University of Monastir, Tunisia

autor

Khedher Faouzi

• Laboratory of Textile Engineering, University of Monastir, Tunisia

autor

Adolphe Dominique C.

• Laboratory of Physics and Textile Mechanics EA, University of Haute-Alsace, France

autor

Jaouachi Boubaker

• Laboratory of Textile Engineering, University of Monastir, Tunisia

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).