Determination of Sewing Thread Consumption for 602, 605, and 607 Cover Stitches Using Geometrical and Multi-Linear Regression Models

• Autorzy: Malek Sarah , Jaouachi Boubaker , Adolphe Charles Dominique

Identyfikatory

DOI

10.2478/aut-2020-0044

• Języki publikacji: EN

Abstrakty

EN

This work deals with prediction of the quantities of sewing threads required to sew a garment using cover stitches for the different classes of 600 (602, 605 and 607 cover stitches) by performing a rapid and precise methods (Geometrical and statistical). Sewing consumption value was estimated based on the geometrical method of different cover stitch shapes to prevent inventory of stocks for each stitch type. In the prediction of the sewing thread consumption for each investigated stitch, it was assumed that the consumption is a function of the input parameters, such as material thickness, stitch density, yarn linear density, and seam width. In addition, a statistical method based on multi-linear regression was established. The coefficient R2 value was determined to evaluate the precision of the geometrical and statistical methods. By comparing the theoretical thread consumption with the experimental ones, it is concluded that the geometrical method is more accurate than the statistical method regarding the range of R2 (from 98.78% to 99.38%), which encouraged industrialists to use geometrical models to predict thread consumption. The input parameters contributing to the sewing thread consumption behavior were studied and analyzed. It was concluded that the most important parameters influencing thread consumption are stitch density followed by seam width. Both yarn density and material thickness have a low contribution to the thread consumption value.

Słowa kluczowe

EN

consumption; apparel industry; cover stitches of class 600; geometrical regression models; multi-linear regression models; input parameters

PL

zużycie; przemysł odzieżowy; ścieg; modele regresji geometrycznej; modele regresji wieloliniowej; parametry wejściowe

• Wydawca: Lodz University of Technology, Faculty of Material Technologies and Textile Design
• Czasopismo: Autex Research Journal
• Rocznik: 2022
• Tom: Vol. 22, no. 4
• Strony: 497--508
• Opis fizyczny: Bibliogr. 31 poz.

Twórcy

autor

Malek Sarah

• Textile Engineering Laboratory, National School of Engineers of Monastir, University of Monastir, Monastir, Tunisia

autor

Jaouachi Boubaker

• Textile Engineering Laboratory, National School of Engineers of Monastir, University of Monastir, Monastir, Tunisia

autor

Adolphe Charles Dominique

• Laboratoire de Physique et Mécanique Textile, Ecole Nationale Supérieure d’Ingénieurs Sud Alsace, Université de Haut-Alsace, France

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).