Bodycentered cubic iron undergoes a ductilebrittle fracture transition as a function of temperature. A common way of describing the Charpy toughness is to measure the temperature T_{27J} corresponding to a particular value of absorbed energy. Extensive data on variations in T_{27J} as a function of the microstructure and weld metal composition have recently been published along with a linear regression analysis. In the present work we show that it is possible to infer more meaning from the data by using a neural network (nonlinear regression) analysis. The software associated with this work is available on the worldwideweb.
Australasian Welding Journal, Vol. 45, 2000, pp. 3337.
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