Modeling of the simultaneous process of wet spinning-grafting of bast fibers using artificial neural networks

In this study we present the way in which the monochlorotriazinyl-beta-cyclodextrin can be grafted on to bast fibers simultaneously with their wet spinning. The modeling of the process was realized by mechanical and chemical processing at different wet spinning-grafting parameters (concentration of beta-cyclodextrin and speed of the material in the impregnation stage). The neural modeling of the studied process constitutes the main objective of this paper. In order to obtain physico-mechanical characteristics adequate for a bleached hemp yarn and an optimum grafting degree for the ulterior inclusion operation, it is necessary to establish a soaking time between 20 and 30 s and a solution concentration of 60 g/l monochlorotriazinyl-beta-cyclodextrin.