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International Journal for Multiscale Computational Engineering

Published 6 issues per year

ISSN Print: 1543-1649

ISSN Online: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

Indexed in

Modeling Dislocation Network and Dislocation–Precipitate Interaction at Mesoscopic Scale Using Phase Field Method

Volume 1, Issue 1, 2003, 14 pages
DOI: 10.1615/IntJMultCompEng.v1.i1.80
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ABSTRACT

In this article we discuss phase field modeling of dislocation reactions and network formation in fcc crystals, g-channel filling by dislocations during plastic deformation in Ni-based superalloys, and deformation mechanisms in multilayer thin films. The phase field method is introduced in the context of gradient thermodynamics and discussed in contrast to the Peierls–Nabarro model. General expressions of crystalline and gradient energies are introduced, and their applications to various dislocation reactions leading to network formation are presented. The critical shear stress applied to drive dislocations through the g-channels is characterized as a function of channel width, dislocation density in the channels, and lattice mismatch. The propagation behavior of threading dislocations in a multilayer microstructure is characterized as a function of misfit strain and applied stress. Different deformation mechanisms of the multilayer microstructure are predicted, ranging from a confined layer slip in individual layers at a large lattice mismatch to a co-deformation across layers at a smaller lattice mismatch. Advantages, potential new applications, and limitations of the phase field method are discussed.

CITED BY
  1. Fish Jacob, Chen Wen, Discrete-to-continuum bridging based on multigrid principles, Computer Methods in Applied Mechanics and Engineering, 193, 17-20, 2004. Crossref

  2. Zhou N., Shen C., Mills M.J., Wang Y., Contributions from elastic inhomogeneity and from plasticity to γ′ rafting in single-crystal Ni–Al, Acta Materialia, 56, 20, 2008. Crossref

  3. McDowell David L., A perspective on trends in multiscale plasticity, International Journal of Plasticity, 26, 9, 2010. Crossref

  4. McDowell David L., Viscoplasticity of heterogeneous metallic materials, Materials Science and Engineering: R: Reports, 62, 3, 2008. Crossref

  5. Panchal Jitesh H., Kalidindi Surya R., McDowell David L., Key computational modeling issues in Integrated Computational Materials Engineering, Computer-Aided Design, 45, 1, 2013. Crossref

  6. Xiong Liming, Chen Youping, Coarse-grained atomistic modeling and simulation of inelastic material behavior, Acta Mechanica Solida Sinica, 25, 3, 2012. Crossref

  7. McDowell David L., Multiscale Crystalline Plasticity for Materials Design, in Computational Materials System Design, 2018. Crossref

  8. McDowell David L., Multiscale Modeling of Interfaces, Dislocations, and Dislocation Field Plasticity, in Mesoscale Models, 587, 2019. Crossref

  9. McDowell David L., Connecting Lower and Higher Scales in Crystal Plasticity Modeling, in Handbook of Materials Modeling, 2018. Crossref

  10. McDowell D. L., Backman D., Simulation-Assisted Design and Accelerated Insertion of Materials, in Computational Methods for Microstructure-Property Relationships, 2011. Crossref

  11. McDowell David L., Connecting Lower and Higher Scales in Crystal Plasticity Modeling, in Handbook of Materials Modeling, 2020. Crossref

  12. Selimov Alex, Chu Kevin, McDowell David L., Coarse-grained atomistic modeling of dislocations and generalized crystal plasticity, Journal of Micromechanics and Molecular Physics, 07, 02, 2022. Crossref

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