Modelling the continuous cooling transformation diagram of engineering steels using neural networks. Part I: Phase regions.

Modelling the continuous cooling transformation diagram of engineering steels using neural networks. Part II: Microstructure and hardness.

Evaluation of a semiphysical phase transformation model for engineering steels using measured continuous cooling transformation diagrams.

Modelling CCT-diagrams of engineering steels using neural networks.

On the influence of alloying elements on the bainite reaction in low alloy steels during continuous cooling.

The modelling of the hardness of martensite after quenching using a neural network.

Influence of alloying elements and their interactions on the martensite start temperature.

Determination of martensite start temperature in engineering steels. Part I. Empirical relations describing the effect of steel chemistry.

Determination of martensite start temperature in engineering steels. Part II. Correlation between critical driving force and Ms temperature.

The effect of the composition on the bainite transformation temperatures: a statistical analysis.

Effects of carbon concentration and cooling rate on continuous cooling transformations predicted by artificial neural network.

Modelling of an industrial extrusion process.

Modelling the CCT diagram of engineering steels using neural networks.

Intelligent processing in a hot rolling mill for structural steels.