Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1631212 | Materials Today: Proceedings | 2015 | 10 Pages |
Abstract
Estimation of the volume percent of bainite has been conducted using a powerful computational technique known as neural network. The model is proposed for ordinary bainitic steel in addition to the more recent class of super bainite steel which are attractive for many applications. The model has been checked for a wide range of steels, including super-bainite steels. The proposed model is based on chemical composition, heat treatment and hardness. The predicted results have shown good agreement with the experimental results.
Related Topics
Physical Sciences and Engineering
Materials Science
Metals and Alloys