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International Journal for Multiscale Computational Engineering

年間 6 号発行

ISSN 印刷: 1543-1649

ISSN オンライン: 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

DEVELOPMENT OF THREE-DIMENSIONAL ADAPTIVE MESH GENERATION FOR MULTISCALE APPLICATIONS

巻 12, 発行 3, 2014, pp. 257-269
DOI: 10.1615/IntJMultCompEng.2014010702
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要約

A new and efficient approach to generate dedicated three-dimensional (3D) finite element meshes for further multiscale analysis of polycrystalline microstructure behavior under loading conditions is the subject of the present research. An explicit image of microstructure is created on the basis of a digital material representation approach. The Monte Carlo (MC) method is used in order to obtain 3D representation of the investigated morphology. Then, information obtained from the MC method is transferred to the initial, coarse, finite element mesh. This mesh in the subsequent steps of the developed approach is modified based on the information provided from the adaptive finite element solver. The two phase ferriticmartensitic microstructure is selected as a case study. A description of the proposed finite element mesh generation algorithm as well as an example of application of the obtained mesh to the multiscale model of plastic deformation under tension are presented in the paper.

によって引用された
  1. Szyndler Joanna, Madej Łukasz, Numerical analysis of the influence of number of grains, FE mesh density and friction coefficient on representativeness aspects of the polycrystalline digital material representation – Plane strain deformation case study, Computational Materials Science, 96, 2015. Crossref

  2. References, in Computational Materials Engineering, 2015. Crossref

  3. Muszka K., Madej L., Wynne B.P., Application of the Digital Material Representation to strain localization prediction in the two phase titanium alloys for aerospace applications, Archives of Civil and Mechanical Engineering, 16, 2, 2016. Crossref

  4. Madej Lukasz, Ambrozinski Mateusz, Kwiecien Mateusz, Gronostajski Zbigniew, Pietrzyk Maciej, Digital material representation concept applied to investigation of local inhomogeneities during manufacturing of magnesium components for automotive applications, International Journal of Materials Research, 108, 1, 2017. Crossref

  5. Yalçinkaya T., Özdemir İ., Simonovski I., Micromechanical modeling of intrinsic and specimen size effects in microforming, International Journal of Material Forming, 11, 5, 2018. Crossref

  6. Madej Lukasz, Digital/virtual microstructures in application to metals engineering – A review, Archives of Civil and Mechanical Engineering, 17, 4, 2017. Crossref

  7. Madej L., Malinowski L., Perzynski K., Mojzeszko M., Wang J., Cios G., Czarnecki D., Bala P., Considering influence of microstructure morphology of epoxy/glass composite on its behavior under deformation conditions—digital material representation case study, Archives of Civil and Mechanical Engineering, 19, 4, 2019. Crossref

  8. Sitko Mateusz, Chao Qi, Wang Jiangting, Perzynski Konrad, Muszka Krzysztof, Madej Lukasz, A parallel version of the cellular automata static recrystallization model dedicated for high performance computing platforms – Development and verification, Computational Materials Science, 172, 2020. Crossref

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