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Prediction of Yarn Strength Utilization in Cotton Woven Fabrics using Artificial Neural Network

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Abstract

The paper presents an endeavor to predict the percentage yarn strength utilization (% SU) in cotton woven fabrics using artificial neural network approach. Fabrics in plain, 2/2 twill, 3/1 twill and 4-end broken twill weaves having three pick densities and three weft counts in each weave have been considered. Different artificial neural network models, with different set of input parameters, have been explored. It has been found that % SU can be predicted fairly accurately by only five fabric parameters, namely the number of load bearing and transverse yarns per unit length, the yarn crimp % in the load bearing and transverse directions and the float length of the weave. Trend analysis of the artificial neural network model has also been carried out to see how the various parameters affect the % SU. The results indicate that while an increase in the number of load bearing or transverse yarns increases the % SU, an increase in the float length and the crimp % in the yarns have a detrimental effect.

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Abbreviations

% SU :

Percentage strength utilization

ANN:

Artificial neural network

N e :

English count of the yarn

NL and NT :

Number of load bearing and transverse yarns per 2.5 cm in a sample

L and T:

Load bearing and transverse yarns

MAPE:

Mean Absolute Percentage Error

MSE:

Mean Squared Error

SL, ST :

Single yarn strength of load bearing and transverse yarns

CL, CT :

Crimp % in load bearing and transverse yarns

FL :

Float length of the weave

p L :

Spacing between load bearing yarns

VT :

Binding force of transverse yarns on the load bearing yarn

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Acknowledgments

The author is thankful to Vardhaman Textiles Ltd., India for manufacturing of fabrics at C.P.D.C., Mahavir Spinning Mills—Textile Division Textiles, Baddi, H.P., India and Shahi Exports Pvt. Ltd. (Unit of Sarla Fabrics Ltd. Ghaziabad, U.P.), India for desizing and scouring of the fabrics in relaxed form.

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  1. Guru Nanak Dev University, Amritsar, 143005, Punjab, India

    Swapna Mishra

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  1. Swapna Mishra
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Mishra, S. Prediction of Yarn Strength Utilization in Cotton Woven Fabrics using Artificial Neural Network. J. Inst. Eng. India Ser. E 96, 151–157 (2015). https://doi.org/10.1007/s40034-014-0049-6

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  • DOI: https://doi.org/10.1007/s40034-014-0049-6

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