1963
DOI: 10.1063/1.1702656
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A Model for Boundary Diffusion Controlled Creep in Polycrystalline Materials

Abstract: The creep rate (ė) predicted by the boundary diffusion (Db) model is ė≃150σDbWΩ/(GS)3kT, where σ is the stress, W is the boundary width, (GS) is the average grain size, and Ω is vacancy volume. The stress dependence is the same as the lattice diffusion model, given by C. Herring, while the grain size dependence and the numerical constant are greater for boundary diffusion. Discussion of the mechanism of creep in polycrystalline alumina is based on the differences between the lattice and boundary diffusion mode… Show more

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Cited by 2,121 publications
(694 citation statements)
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“…This process, now known as Nabarro-Herring diffusion creep, predicts a creep rate of the form shown in Eq 1 with n = 1, p = 2 and D = D ' , where D ' is the coefficient for lattice self-diffusion. At a later date, Coble [9] noted that vacancies may also diffuse along the grain boundaries and this leads to the process now known as Coble diffusion creep where n = 1, p = 3 and D = D gb , where D gb is the coefficient for grain boundary diffusion.…”
Section: Potential Creep Mechanisms At Low Stresses When N =mentioning
confidence: 99%
“…This process, now known as Nabarro-Herring diffusion creep, predicts a creep rate of the form shown in Eq 1 with n = 1, p = 2 and D = D ' , where D ' is the coefficient for lattice self-diffusion. At a later date, Coble [9] noted that vacancies may also diffuse along the grain boundaries and this leads to the process now known as Coble diffusion creep where n = 1, p = 3 and D = D gb , where D gb is the coefficient for grain boundary diffusion.…”
Section: Potential Creep Mechanisms At Low Stresses When N =mentioning
confidence: 99%
“…However, the beneficial effect of nanocrystallinity is weighed by the increased strain rate sensitivity [2][3][4][5][6][7] and increased creep rates compared to films with larger grain size. Nanocrystalline metals allow for large material volumes occupied by grain boundaries that control dislocation nucleation [4,8] and grain boundary mediated creep [9] while affecting the relative contribution of thermal and stress driven inelastic processes [10][11][12]. These often competing mechanisms result in increased rate sensitivity which is not uniform across time scales: diffusion controlled processes are important at slow loading rates and may dominate in materials with large percentage of grain boundaries.…”
Section: Introductionmentioning
confidence: 99%
“…[4]). Despite these differences, the model of Argon and Yip, [46] unlike other models discussed earlier, [30,44] predicts a transition from hardening to nanoscale softening at a realistic value for the grain size.…”
Section: Composite Model Involving Amorphous Boundary Layermentioning
confidence: 91%
“…Early theoretical considerations have indicated that under conditions of low homologous temperatures, very small normalized grain sizes, and small stresses, Coble creep [30] may control the creep behavior of fine-grained materials. Coble creep, in which creep strain is produced by the diffusion of vacancies along the grain boundaries, is represented by the following equation: Second, deformation data reported for nc Ni and nc Cu (Table II) are plotted in the form of normalized creep rate c kT=D gb Gb d=b ð Þ 3 as a function of normalized stress (s/G) on a logarithmic scale in Figure 1(a).…”
Section: Coble Creepmentioning
confidence: 99%