A three-dimensional model for the probabilistic intergranular failure of polycrystalline arrays
dc.contributor.author | Harlow, D. G. | en_US |
dc.contributor.author | Lu, H-M. | en_US |
dc.contributor.author | Hittinger, J. A. | en_US |
dc.contributor.author | Delph, T. J. | en_US |
dc.contributor.author | Wei, R. P. | en_US |
dc.date.accessioned | 2006-12-19T19:12:56Z | |
dc.date.available | 2006-12-19T19:12:56Z | |
dc.date.issued | 1996-05-01 | en_US |
dc.identifier.citation | Harlow, D G; Lu, H-M; Hittinger, J A; Delph, T J; Wei, R P (1996). "A three-dimensional model for the probabilistic intergranular failure of polycrystalline arrays ." Modelling and Simulation in Materials Science and Engineering. 4(3): 261-279. <http://hdl.handle.net/2027.42/49082> | en_US |
dc.identifier.issn | 0965-0393 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/49082 | |
dc.description.abstract | A three-dimensional grain model, in which the grains are represented by regular truncated octahedra, has been developed to study probabilistic time-dependent intergranular failure in polycrystalline arrays. In this model, grain boundary facets are assumed to fail randomly in time, as a function of the facet normal stress. A simple approximate method for calculating the load shed by failed facets and a reasonable choice of failure criterion complete the model. This leads to a conceptually simple, but computationally complex, model capable of handling assemblages consisting of relatively large numbers (> 5000) of grains. The predicted scatter in the times-to-failure and the variation in number of failed facets with time are in quite reasonable agreement with available experimental data. | en_US |
dc.format.extent | 3118 bytes | |
dc.format.extent | 318566 bytes | |
dc.format.mimetype | text/plain | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | IOP Publishing Ltd | en_US |
dc.title | A three-dimensional model for the probabilistic intergranular failure of polycrystalline arrays | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Physics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Mechanical and Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA | en_US |
dc.contributor.affiliationother | Department of Mechanical Engineering and Mechanics, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015-3085, USA | en_US |
dc.contributor.affiliationother | Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV 26506-6101, USA | en_US |
dc.contributor.affiliationother | Department of Mechanical Engineering and Mechanics, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015-3085, USA | en_US |
dc.contributor.affiliationother | Department of Mechanical Engineering and Mechanics, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015-3085, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/49082/2/ms6302.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1088/0965-0393/4/3/002 | en_US |
dc.identifier.source | Modelling and Simulation in Materials Science and Engineering. | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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