Prediction Model Research of Overfeed Sewing Shrinkage Based on BP Neural Network

Tong Hong Xu; Hong Sun

doi:10.4028/www.scientific.net/AMM.568-570.858

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 568-570Prediction Model Research of Overfeed Sewing...

Prediction Model Research of Overfeed Sewing Shrinkage Based on BP Neural Network

Abstract:

The study shows overfeed sewing shrinkage was not linear relationship with physical property and garment sewing process parameter. It chose simulation arm of light wool fabrics to do overfeed sewing experiment, and selected seven characteristic values such as connection length of long fabric, connection length ratio flexural-tensile modulus ratio, relaxation shrinkage and wet expansion rate of long and short fabric, and applied artificial neural network to forecast overfeed sewing shrinkage of light wool fabrics. Compared with actual result, the error of predicted result was lesser. The foundation of prediction model is significant for woolen mill to develop a set of interactive software and extend application.