Prediction of the coating thickness of wire coating extrusion processes using artificial neural network (ANN)

Abstract

This paper presents a new method of modeling the nonlinear parameters of a coating systems base on neural Networks with artificial neural network neurons. Artificial neural networks (ANNs) are a new type of information processing system based on modeling the neural system of human brain. The wire coating thickness and quality depend on the wire speed, polymer viscosity, polymer melt temperature and the gap between the wire and exit end of the die. In this paper, results of experimental investigation are presented by comparing the coating quality on galvanized mild steel wire using EP 58 PVC molten is used as the coating material in a wire coating extrusıon unit at different extruder temperatures and extruder speeds.The coating thickness and quality are also discussed for different wire speeds of up to 15 m/s. A three layer back propogation artificial neutral network (ANN) model was used for the description of wire coating thickness.On comparing the experimental data, the predictions the ANN model predictions, it is found that the ANN model is capable of predicting the coating thickness. The neural network model shows how the significant parameters influencing thickness can be found. Inthis studies, a back propagation neural network model is developed to map the complex non-linear wire coating thickness between process conditions .

Shooting method analysis in wire coating withdrawing from a bath of Oldroyd 8-constant fluid with temperature dependent viscosity

“…The constant viscosity case is discussed by Shah et al [46] in detail. Here we discuss the variable viscosity case.…”

“…Generally, the extrusion process requires three components: the feeding unit, the barrel and a head with a die. Detailed discussions regarding these three distinct elements are reported by Kozan in reference [46]. In addition, Sajid et al [47] addressed and solved the wire-coating process of Oldroyd (8-constant fluid) by utilizing HAM method.…”

Effect of Nanoparticles on Wire Surface Coating Using Viscoelastic Third‐Grade Fluid as a Coating Polymer inside Permeable Covering Die with Variable Viscosity and Magnetic Field

“…The extrusion procedure is made up of three parts: the feeder entity, the chamber, then the cranium through a die. Kozan and Cirak [26] reported on the extensive deliberations of these three unique parts. In particular, Sajid et al [27] used the HAM method to explain and handle the wire coating operations of Oldroyd 8-constant fluid.…”