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Friday, May 20, 2005 - 8:55 AM
30.2

Genetic Algorithm Based Optimization of Johnson Mehl Avarami Equation Parameters for Ferrite to Austenite Transformation in Steel Welds

S. Mishra, T. DebRoy, The Pennsylvania State University, University Park, PA; A. Kumar, ExxonMobil Upstream Research Co., Houston, TX; J. W. Elmer, Lawrence Livermore National Laboratory, Livermore, CA

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Summary: Estimation of all three parameters of the Johnson Mehl Avarami equation through genetic algorithm based inverse modeling approach. The optimized parameters gave lower average error in austenite phase fractions than that computed from any other set of JMA parameters obtained to date.