Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
833593 | Materials & Design (1980-2015) | 2007 | 10 Pages |
The tensile strength of the steel wire material is required to be sufficiently high for better performance. Steel with a high cleanness will prevent problems during drawing and the heat treatment. The studies show that among many defects the most important ones are the non-metallic inclusions and undesirable phases encountered during improper heat treatment. Especially different non-metallic inclusions will play an important role during crack propagation due to their weak matrix bond. In this study typical wire and cord failures due to non-metallic inclusions are examined. A generalized regression neural network was developed to predict the tensile strength as a function of experimental conditions. The predicted values of the tensile strength estimated by neural network are found to be in good agreement with the actual values from the experiments.