Optimization design of the winding tension in glass fabric packaging based on ANN

A novel artificial neural network (ANN) structure was presented used for optimizing the winding tension in glass fabric packaging in this paper. Firstly, the theories of the winding tension control system in glass fabric rolling-up machine were introduced. Secondly, the changing pattern of the tension and the factors that influence the tension in the process of winding molding were analyzed. Then, the formulas for the inner tension distributions of rolling-up in glass fabric reels were given from the theory of elasticity. Finally, based on these formulas, a novel ANN structures are discussed used for optimizing the winding tension, which could solve that there often exit the fold and non-uniform thickness in reels. Numerical results show that the tension design optimized by this ANN can ensure the tensions in each coiling layer to get a respectable value.