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Artificial Neural Network-based Prediction Technique for Waterproofness of Seams Obtained by Using Fusible Threads Cover

Artificial Neural Network-based Prediction Technique for Waterproofness of Seams Obtained by Using Fusible Threads

Fibres & Textiles in Eastern Europe
Volume 30 (2022): Issue 3 (October 2022)
By: ,  ,   and    
Open Access
|Aug 2022
Figures & tables

Figures & Tables

Fig. 1

a) Blue fabric and b) green fabric [7]

Table 1

The sewing threads [7]

Sewing Thread CodeThread Composition
T8080 tex, Polyester / Cotton corespun (Antiwick)
T150150 tex, Polyester / Cotton corespun (Antiwick)
T135135 tex, low fusible co-polyamide (85%) and polyester (15%) (Co-polyamide fuses between 100–110°C
T4040 tex, Co-polyamide filament (Co-polyamide fuses between 100–110°C)
Fig. 2

Sewing threads [7]

Table 2

Needle and shuttle thread combinations [7]

Display of thread combinations in seams (Needle thread/Shuttle thread)Needle thread (upper thread) (tex)Shuttle thread (lower thread) (tex)
Threadless sewn (sewn without thread, perforated)--
T80/T808080
T80/T15080150
T150/T150150150
T80/T80+T408080 and 40
T80/T150+T4080150 and 40
T80/T13580135
T150/T135150135
T80/T80+T1358080 and 135
T150/T80+T13515080 and 135
Fig. 3

Neural network architecture

Table 3

Experimental results of the waterproofness values of samples [7]

FabricThread CompositionWaterproofness (mm)
Test 1Test 2Test 3Test 4Test 5
Blue (0)Threadlessly sewn (perforated)177172176173171
T80/T80224216215218204
T80/T150236229227233235
T150/T150227228225242234
T80/T80+T40219218236238225
T80/T150+T40228254241232230
T80/T135236251237245245
T150/T135190202198211190
T80/T80+T135208201208235214
T150/T80+T135239230221237230
Green (1)Threadlessly sewn (perforated)125132142128134
T80/T80225231232218225
T80/T150259283291254269
T150/T150256295273233233
T80/T80+T40272294267262257
T80/T150+T40270266263256245
T80/T135274271304297317
T150/T135261275249254258
T80/T80+T135260250307322274
T150/T80+T135266283259249260
Fig. 4

Network training yielding the best result for the experimental results

Fig. 5

Network correlation coefficient

Fig. 6

Comparison of the training data and ANN data

Table 4

Comparison of test data and ANN results

FabricThread CompositionWaterproofness (mm)Absolute Error %
TestANN
BlueThreadlessly sewn (perforated)173174.000.57 graphic/j_ftee-2022-0019_ingr_001.png
T80/T80218214.751.49
T80/T150235231.251.59
T150/T150242228.505.57
T80/T80+T40219229.254.68
T80/T150+T40232238.252.69
T80/T135245242.251.12
T150/T135190200.255.39
T80/T80+T135235207.7511.59
T150/T80+T135239229.503.97
GreenThreadlessly sewn (perforated)142129.758.62
T80/T80232224.753.12
T80/T150283268.255.21
T150/T150256258.500.97
T80/T80+T40257273.756.51
T80/T150+T40263259.251.42
T80/T135304289.754.68
T150/T135249262.005.22
T80/T80+T135307276.509.93
T150/T80+T135260264.251.63
Mean Error %4.30
DOI: https://doi.org/10.2478/ftee-2022-0019 | Journal eISSN: 2300-7354 | Journal ISSN: 1230-3666
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Language: English
Page range: 27 - 32
Published on: Aug 23, 2022
Published by: Łukasiewicz Research Network-Łódź Institute of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
waterproof,
seams,
sewing threads,
fusible threads,
artificial neural network (ANN)
Related subjects:
Business and economics,
Business management,
Business informatics,
Process management,
Industrial chemistry,
Cellulose, paper and textiles,
Polymer science and technology,
Materials sciences,
Biomaterials and natural materials

© 2022 Gulseren Karabay, Yavuz Senol, Hasan Ozturk, Cansu Mesegul, published by Łukasiewicz Research Network-Łódź Institute of Technology
This work is licensed under the Creative Commons Attribution 3.0 License.

Volume 30 (2022): Issue 3 (October 2022)
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