The article shows a new model of Continuous Cooling Transformation (CCT) diagrams of structural steels and engineering steels. The modelling used artificial neural networks and a set of experimental data prepared based on 550 CCT diagrams published in the literature. The model of CCT diagrams forms 17 artificial neural networks which solve classification and regression tasks. Neural model is implemented in a computer software that enables calculation of a CCT diagram based on chemical composition of steel and its austenitizing temperature
Abstract—In this work, we consider an application of neural networks in LD converter. Application of...
This paper presents a mathematical model developed by means of an analytical function whose shape de...
An important advantage of cold-formed steel is the great flexibility of cross-sectional profiles and...
Quenching and tempering of precision forged components using their forging heat leads to reduced pro...
Run Out Tables (ROTs) have been used for long time in order to achieve different microstructure of s...
The 22MnB5 steel is a hot stamping steel developed with the aim to satisfy the increasing request of...
This work presents the development of a computational algorithm applied to improve the thermal behav...
Designing of the chemical composition of the steel heats having the demanded properties, e.g. the de...
In our modern society, the steel industry is a critical component to achieve economic growth and dev...
The application of neural networks to cold-formed steel design is considered. Cold-formed steel desi...
An artificial neural network (ANN) model is developed for the analysis, simulation, and prediction o...
This paper discusses the application of artificial neural network modeling in austenitic stainless s...
The new quenching processes for automotive applications, which follow the cementation stage, include...
Controlled cooling technology is widely used in hot-rolled steel plate production lines. The final c...
Abstract—In this work, we consider an application of neural networks in LD converter. Application of...
This paper presents a mathematical model developed by means of an analytical function whose shape de...
An important advantage of cold-formed steel is the great flexibility of cross-sectional profiles and...
Quenching and tempering of precision forged components using their forging heat leads to reduced pro...
Run Out Tables (ROTs) have been used for long time in order to achieve different microstructure of s...
The 22MnB5 steel is a hot stamping steel developed with the aim to satisfy the increasing request of...
This work presents the development of a computational algorithm applied to improve the thermal behav...
Designing of the chemical composition of the steel heats having the demanded properties, e.g. the de...
In our modern society, the steel industry is a critical component to achieve economic growth and dev...
The application of neural networks to cold-formed steel design is considered. Cold-formed steel desi...
An artificial neural network (ANN) model is developed for the analysis, simulation, and prediction o...
This paper discusses the application of artificial neural network modeling in austenitic stainless s...
The new quenching processes for automotive applications, which follow the cementation stage, include...
Controlled cooling technology is widely used in hot-rolled steel plate production lines. The final c...
Abstract—In this work, we consider an application of neural networks in LD converter. Application of...
This paper presents a mathematical model developed by means of an analytical function whose shape de...
An important advantage of cold-formed steel is the great flexibility of cross-sectional profiles and...