Modelling the continuous cooling transformation diagram of engineering steels using neural networks
-
Pieter J. van der Wolk
and
Sybrand van der Zwaag
Abstract
The neural network model of Van der Wolk et al. [1] describes the effect of composition on the phase regions of the continuous cooling transformation (CCT) diagram, yet does not consider the fractions of microstructural components and the hardness data that are often quoted in CCT diagrams. In the present paper, the construction of two more neural network models, one for the fractions of ferrite, pearlite, bainite and martensite in the microstructure, and one for the hardness after cooling, using the data of 338 and 412 diagrams, respectively. The accuracy of each model was found to be similar to the expected experimental error; moreover, the models were found to be mutually consistent, although they have been constructed independently. Furthermore, the trends in these properties for alloying elements can be quantified with the models, and are largely in line with metallurgical expectations.
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© 2002 Carl Hanser Verlag, München
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- Notifications/Mitteilungen
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- Information
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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
