SELECTING COTTON BALES BY SPINNING CONSISTENCY INDEX AND MICRONAIRE USING ARTIFICIAL NEURAL NETWORKS
Source abstract
Abstract
Abstract This paper presents a method of selecting cotton bales to meet the specified ring yarn properties using artificial neural networks. Five yarn properties and yarn count were used as inputs, whereas the Spinning Consistency Index (SCI) and micronaire were the outputs to the neural network models. Bales were selected according to the predicted combinations of SCI and micronaire. The properties of yarns spun from selected bales show good association with the target yarn properties.
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Research context
OpenAlex topics: Textile materials and evaluations · Industrial Vision Systems and Defect Detection
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Affiliations
College of Textile Technology, Berhampore, West Bengal University of Technology, Berhampore, West Bengal -742 101, India
College of Textile Technology, Serampore, West Bengal University of Technology, Serampore, West Bengal - 712201, India
Department of Production Engineering Jadavpur University, Kalkuta – 700032, India
References
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