Computations and Experiments in Four Dimensions

Abstract

Recent advances in computational and experimental techniques now permit the evolution of a microstructure to be determined in three dimensions and as a function of time.  Since x-ray tomography is nondestructive, it is possible to employ an experimentally measured microstructure as an initial condition in a simulation and to then compare the predicted structure to that measured experimentally at some later time. The comparison between simulation and experiment therefore does not require the use of statistically averaged quantities.  Such an approach is thus a particularly stringent test of simulation and can be used to identify important phenomena that are lost in the averaging process. We shall illustrate this approach using experiments and simulations of solid-state grain growth and the evolution of solid-liquid mixtures during coarsening.

Brief Bio

Peter Voorhees is the Frank C. Engelhart Professor and Chair of the Department of Materials Science and Engineering at Northwestern University, and Professor of Engineering Sciences and Applied Mathematics.  He received his Ph.D. in Materials Engineering from Rensselaer Polytechnic Institute.  He joined the Department of Materials Science and Engineering at Northwestern University in 1988.    He has received numerous awards including the National Science Foundation Presidential Young Investigator Award, ASM International Materials Science Division Research Award (Silver Medal), and is listed as an ISI Highly Cited Researcher. Professor Voorhees is a fellow of ASM International and the American Physical Society. He has published over 160 papers in the area of the thermodynamics and kinetics of phase transformations.

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