About this document
Steel Slab Temperature Prediction Models by Димитър Славов is a document available to read on EtoBox.
The document summarizes research using neural networks and Bayesian networks to model and predict steel slab temperatures in a hot strip mill. Researchers collected over 250,000 data points on slab properties and furnace parameters. They used Bayesian networks to study variable interactions and clarify the heating process. Neural networks were then used to predict slab temperatures after roughing mill, which could provide feedback to the furnace controls to better meet temperature targets and improve rollin
- Author
- Димитър Славов
- Language
- EN