Neural network analysis of the influence of processing on strength and ductility of automotive low carbon sheet steels

Abstract

The goal of the work reported in this paper is to develop a neural network model for describing the evolution of mechanical properties such as yield strength (YS), ultimate tensile strength (UTS), and elongation (El) on low carbon sheet steels. The models presented here take into account the influence of 21 parameters describing chemical composition, and thermomechanical processes such as austenite and ferrite rolling, coiling, cold working and subsequent annealing involved on the production route of low carbon steels. The results presented in this paper demonstrate that these models can help on optimizing simultaneously both strength and ductility for the various types of forming operation that the sheets can be subjected to.

Artificial neural network vs. nonlinear regression for gold content estimation in pyrometallurgy

“…Because of the mentioned difficulties that are faced when smelting gold slime, we have decided to search for a new model to predict gold content in the slag in addition to the traditional nonlinear regression. On the other hand, the neural network has proven to be a powerful tool in many areas including industrial processes (Schlang, Lang, Poppe, Runkler, & Weinzierl, 2001), prediction of materials properties such as steel (Bahrami, Mousavi Anijdan, & Ekrami, 2005;Capdevila, Garcia-Mateo, Caballero, & Garcl´a de Andre's, 2006;Guo & Sha, 2004). In addition, there are many other reports that the neural network approach has used in material science-based research (Sha & Edwards, 2007).…”

Modelling the correlation between the geometrical features and the forming limit strains of perforated Al 8011 sheets using artificial neural network

“…In addition to this work Recep Kazan et al [14] developed the model of springback in wipe-bending process using artificial neural network approach. Swadesh Kumar Singh et al [15] and Capdevila et al [16] developed a neural network model for describing the evolution of mechanical properties such as yield strength, ultimate tensile strength and elongation on low carbon sheet steels.…”

Elongation of Irradiated Steels

“…It is not the intention here to describe the neural network method; details can be found in [9][10][11][12] and the particular method used here has been widely applied in the discovery of phenomena in steels [13][14][15][16][17][18][19][20][21][22]. However, a brief explanation of particular aspects is justified in order to set the scene for later discussions.…”