Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models
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 geometric...
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Online Access: | https://doi.org/10.2478/aut-2019-0051 |
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doaj-3b8fb62f8fa64794a46031e05ec801352021-09-06T19:41:28ZengSciendoAutex Research Journal2300-09292021-02-01211526210.2478/aut-2019-0051Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression ModelsMalek Sarah0Khedher Faouzi1Adolphe Dominique C.2Jaouachi Boubaker3Laboratory of Textile Engineering, University of Monastir, TunisiaLaboratory of Textile Engineering, University of Monastir, TunisiaLaboratory of Physics and Textile Mechanics EA, University of Haute-Alsace, FranceLaboratory of Textile Engineering, University of Monastir, TunisiaThis 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.https://doi.org/10.2478/aut-2019-0051thread consumptionchain stitches of the class-400geometrical modelsmultilinear regression modelsinput parameters |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Malek Sarah Khedher Faouzi Adolphe Dominique C. Jaouachi Boubaker |
spellingShingle |
Malek Sarah Khedher Faouzi Adolphe Dominique C. Jaouachi Boubaker Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models Autex Research Journal thread consumption chain stitches of the class-400 geometrical models multilinear regression models input parameters |
author_facet |
Malek Sarah Khedher Faouzi Adolphe Dominique C. Jaouachi Boubaker |
author_sort |
Malek Sarah |
title |
Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models |
title_short |
Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models |
title_full |
Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models |
title_fullStr |
Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models |
title_full_unstemmed |
Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models |
title_sort |
sewing thread consumption for chain stitches of class 400 using geometrical and multilinear regression models |
publisher |
Sciendo |
series |
Autex Research Journal |
issn |
2300-0929 |
publishDate |
2021-02-01 |
description |
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. |
topic |
thread consumption chain stitches of the class-400 geometrical models multilinear regression models input parameters |
url |
https://doi.org/10.2478/aut-2019-0051 |
work_keys_str_mv |
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1717766092722536448 |