E
E.J. Payton
Researcher at Ohio State University
Publications - 6
Citations - 104
E.J. Payton is an academic researcher from Ohio State University. The author has contributed to research in topics: Particle-size distribution & Grain growth. The author has an hindex of 6, co-authored 6 publications receiving 96 citations. Previous affiliations of E.J. Payton include Bundesanstalt für Materialforschung und -prüfung & Ruhr University Bochum.
Papers
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Journal ArticleDOI
Simulation study of effects of initial particle size distribution on dissolution
G. Wang,G. Wang,Dongsheng Xu,N. Ma,Ning Zhou,E.J. Payton,Ren-Fu Yang,Michael J. Mills,Yunzhi Wang +8 more
TL;DR: In this paper, the dissolution kinetics of gamma' particles in binary Ni-Al alloys with different initial particle size distributions (PSD) were studied using a 3D quantitative phase field model.
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Effect of initial grain size on grain coarsening in the presence of an unstable population of pinning particles
TL;DR: In this article, the effects of initial grain size and initial grain distribution on subsequent grain coarsening in polyphase microstructures with stable and unstable precipitates were investigated using a mean-field statistical model with an adaptive spatiotemporal mesh.
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Mean-field statistical simulation of grain coarsening in the presence of stable and unstable pinning particles
TL;DR: In this article, a mean-field statistical model was used to predict grain growth kinetics and temporal evolution of the grain size distribution in the presence of second-phase particles using a stochastic model.
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Experimental measurement of the kinetics of gamma prime dissolution during supersolvus heat treatment of powder metallurgical Ni-based disk superalloys
TL;DR: In this paper, a heat transfer analysis was used to extract the supersolvus dissolution kinetics of Ni-based superalloys, and the results were in good agreement with phase field simulation predictions.
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Stereology of backscatter electron images of etched surfaces for characterization of particle size distributions and volume fractions: Estimation of imaging bias via Monte Carlo simulations
E.J. Payton,Michael J. Mills +1 more
TL;DR: In this paper, it was shown that the overprojection of features with centroids residing beneath the plane of polish is largely canceled out by the reduced segmentation size of feature with centroid residing above the plane.