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Modeling of Lycra/Cotton Core Spun Yarn for Strength and Elastic Recovery Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

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Abstract

The main goal of using core yarn is to take benefit from the various qualities of its components. The filament used in core yarn adds strength to the yarn, while the sheath fibers gives the appearance and physical attributes. As the property of yarn is influenced by the core, the variation of core provides option for widening application of core spun yarn. In recent days, stretch denim fabrics have raised the potential application of denim fabric in apparel sector. The process parameters influence the structure and ultimately the behavior of the yarn and that of the product made out of it. Optimization of the parameters can help in economic production of the best quality of product using available resources. In our study process parameters such as linear density, stretch percentage of lycra and testing parameters such as gauge length and speed of testing are optimized to get high elastic recovery and tenacity of yarn. The error percentage for optimized results is not more than 7 percent so model is valid for actual usage.

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Authors and Affiliations

  1. Department of Textile Technology, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Kasimi Nurussaba & S. K. Sinha

  2. Department of Computer Science and Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Avishek Sinha

  3. Department of Textile Engineering, Jawahar Lal Nehru Govt. Engineering College, Sundernagar, Sundernagar, Himachal Pradesh, India

    Dinesh Bhatia

  4. Department of Industrial and Production Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Anish Sachdeva

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  1. Kasimi Nurussaba
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Correspondence to Dinesh Bhatia.

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Nurussaba, K., Sinha, A., Bhatia, D. et al. Modeling of Lycra/Cotton Core Spun Yarn for Strength and Elastic Recovery Using Adaptive Neuro-Fuzzy Inference System (ANFIS). J. Inst. Eng. India Ser. E (2024). https://doi.org/10.1007/s40034-024-00288-w

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