scholarly journals Prediction of the continuous cooling transformation diagram of some selected steels using artificial neural networks

1997 ◽  
Vol 68 (2) ◽  
pp. 72-79 ◽  
Author(s):  
Willem Vermeulen ◽  
Sybrand van der Zwaag ◽  
Peter Morris ◽  
Ton de Weijer
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Continuous Cooling Transformation ◽  
Continuous Cooling ◽  
Transformation Diagram ◽  
Artificial Neural ◽  
Continuous Cooling Transformation Diagram

Development of a Continuous Cooling Transformation Diagram for an Al-Zn-Mg Alloy Using Dilatometry

2015 ◽  
Vol 828-829 ◽  
pp. 188-193 ◽  
Author(s):  
Manoj Kumar ◽  
Nigel Ross ◽  
Iris Baumgartner
Keyword(s):  
Thermal Expansion ◽  
Coefficient Of Thermal Expansion ◽  
Rate Of Change ◽  
Precipitation Reaction ◽  
Continuous Cooling Transformation ◽  
Continuous Cooling ◽  
Transformation Diagram ◽  
Multiple Devices ◽  
Continuous Cooling Transformation Diagram ◽  
Good Agreement

To develop CCT diagram using DSC requires the use of multiple devices in order to measure across the range of cooling rates required to develop the diagram. In the current work one dilatometer is used to characterize the precipitation reactions of the AA7020 alloy. Precipitation and dissolution reactions resulted in changes in the rate of change in the coefficient of thermal expansion. This was used to determine the start and finish temperatures of the MgZn2 precipitation reaction and produce the CCT diagram. Good agreement was found between the results of this technique and DSC results from the literature.

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