Prediction of Shrinkage Behavior of Stretch Fabrics Using Machine-Learning Based Artificial Neural Network

Prediction of Shrinkage Behavior of Stretch Fabrics Using Machine-Learning Based Artificial Neural Network

Blog Article

Stretch fabric provides good formability and does not restrict the movement of the body for increased tension levels.The major expectations of a wearer in an apparel fabric are a high level of mechanical comfort and good aesthetics.The prediction of shrinkage in stretch fabric is a very complex and unexplored topic.

There are no existing formulas that can effectively predict the shrinkage of bismarck armb?nd stretch fabrics.The purpose of this paper is to develop a novel model based on an artificial neural network to predict the shrinkage of stretch fabrics.Different stretch fabrics (core-spun lycra yarn) with stretch in the weft direction were manufactured in the industry using a miniature weaving machine.

A model was built using an artificial neural network method, including training of the data set, followed by testing of the model on the test data set.The correlation 15-eg1053cl of factors, such as warp count, weft count, greige PPI, greige EPI, and greige width, was established with respect to boil-off width.