Modelling the continuous cooling transformation diagram of engineering steels using neural networks
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Abstract
A neural network model for the calculation of the phase regions of the continuous cooling transformation (CCT) diagram of engineering steels has been developed. The model is based on experimental CCT diagrams of 459 low-alloy steels, and calculates the CCT diagram as a function of composition and austenitisation temperature. In considering the composition, 9 alloying elements are taken into account. The model reproduces the original diagrams rather accurately, with deviations that are not larger than the average experimental inaccuracy of the experimental diagrams. Therefore, it can be considered an adequate alternative to the experimental determination of the CCT diagram of a certain steel within the composition range used. The effects of alloying elements can be quantified, either individually or in combination, with the model. Nonlinear composition dependencies are observed.
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Financial support of the ECSC D3 committee is gratefully acknowledged.
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© 2002 Carl Hanser Verlag, München
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- Notifications/Mitteilungen
- Personal/Personelles
- Information
- Conferences/Konferenzen
Articles in the same Issue
- Frontmatter
- Articles/Aufsätze
- Niobium bulk and grain boundary diffusion in alpha-iron
- Comparison of fatigue lives between grain boundaries and component single crystals of copper bicrystals
- Interfacial reaction between liquid Sn-20In-2.8Ag solder and Ag substrate
- Modelling the continuous cooling transformation diagram of engineering steels using neural networks
- Modelling the continuous cooling transformation diagram of engineering steels using neural networks
- Characterization of the metastable austenite in low-alloy FeCMnSi TRIP-aided steel by neutron diffraction
- Self-organized criticality – a model for recrystallization?
- Strain softening effects in texture and microstructure of torsioned pre-deformed Al rods
- Microstructural evolution in as-cast hypereutectic Al-Si alloys with different La additions
- Wear behaviour of graphitic aluminium composite sliding under dry conditions
- Temperature dependence of Young’s Modulus of alumina short fiber reinforced Zn–Al MMCs produced by pressure die-casting
- Notifications/Mitteilungen
- Personal/Personelles
- Information
- Conferences/Konferenzen
