Application of Bayesian Neural Networks to Predict Strength and Grain Size of Hot Strip Low Carbon Steels

Abstract

The process enhances the properties of steels by several metallurgical mechanisms which take place in different parts of the hot strip mill. This process is illustrated in Figure 2 which includes following metallurgical phenomena: 1. Austenitization, dissolution of microalloy compounds and homogenization of the chemical segregation in the reheating durnace. 2. Deformation and reduction of reheated slab to intermediate thickness which is accompanied with recrystallization, grain growth and precipitation of alloying and microalloy elements in roughing and finishing mills. 3. Phase transformation and precipitation during cooling and decreasing the heat to room temperature. These mechanisms by refinement of structure bring about a simultaneous improvement in strength and toughness