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International Journal for Multiscale Computational Engineering

Publication de 6  numéros par an

ISSN Imprimer: 1543-1649

ISSN En ligne: 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

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Application of the Automatic Image Processing in Modeling of the Deformation Mechanisms Based on the Digital Representation of Microstructure

Volume 8, Numéro 3, 2010, pp. 343-356
DOI: 10.1615/IntJMultCompEng.v8.i3.90
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RÉSUMÉ

Numerical modeling based on digital material representation (DMR) prepared on the basis of the automated multiscale processing of microstructure photographs is the subject of this work. The main assumptions of the proposed algorithms, including image filtering, reconstruction, and grain analysis of one- and two-phase materials, are described in the paper. Their advantages and limitations are also discussed in detail. Then the results of the image analysis in the form of explicitly described microstructure representation in two dimensions are passed as input data directly to the finite element software. The sample of digital material is analyzed in order to generate the mesh of finite elements and to attach necessary rheological models. These data are then used during finite element simulations of plastometric compression tests. Examples of obtained stress and strain distribution across an explicitly represented microstructure after deformation are presented and discussed. Directions for future development of the presented approach are also highlighted.

CITÉ PAR
  1. Rauch L., Kuziak R., Pietrzyk M., From High Accuracy to High Efficiency in Simulations of Processing of Dual-Phase Steels, Metallurgical and Materials Transactions B, 45, 2, 2014. Crossref

  2. Madej L., Wang J., Perzynski K., Hodgson P.D., Numerical modeling of dual phase microstructure behavior under deformation conditions on the basis of digital material representation, Computational Materials Science, 95, 2014. Crossref

  3. Madej L., Sieradzki L., Sitko M., Perzynski K., Radwanski K., Kuziak R., Multi scale cellular automata and finite element based model for cold deformation and annealing of a ferritic–pearlitic microstructure, Computational Materials Science, 77, 2013. Crossref

  4. Pietrzyk M., Kuziak R., Modelling phase transformations in steel, in Microstructure Evolution in Metal Forming Processes, 2012. Crossref

  5. Sieniek Marcin, Paszyński Maciej, Madej Łukasz, Goik Damian, Adaptive Projection-Based Interpolation as a Pre-Processing Tool in the Finite Element Workflow for Elasticity Simulations of the Dual Phase Microstructures, steel research international, 85, 6, 2014. Crossref

  6. Perzyński Konrad, Madej Łukasz, Wang Jinfeng, Kuziak Roman, Hodgson Peter D., Numerical Investigation of Influence of the Martensite Volume Fraction on DP Steels Fracture Behavior on the Basis of Digital Material Representation Model, Metallurgical and Materials Transactions A, 45, 13, 2014. Crossref

  7. Zhang P., Karimpour M., Balint D., Lin J., Three-dimensional virtual grain structure generation with grain size control, Mechanics of Materials, 55, 2012. Crossref

  8. Zhang P., Balint D., Lin J., An integrated scheme for crystal plasticity analysis: Virtual grain structure generation, Computational Materials Science, 50, 10, 2011. Crossref

  9. Rauch Ł., Bzowski K., Bachniak D., Pietrzyk M., Robust Multiscale Modelling Of Two-Phase Steels On Heterogeneous Hardware Infrastructures By Using Statistically Similar Representative Volume Element, Archives of Metallurgy and Materials, 60, 3, 2015. Crossref

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

  11. Perzynski Konrad, Madej Lukasz, Complex Hybrid Numerical Model in Application to Failure Modelling in Multiphase Materials, Archives of Computational Methods in Engineering, 24, 4, 2017. Crossref

  12. Rauch Łukasz, Szeliga Danuta, Bachniak Daniel, Bzowski Krzysztof, Pietrzyk Maciej, Application of Sensitivity Analysis to Grid-Based Procedure Dedicated to Creation of SSRVE, in eScience on Distributed Computing Infrastructure, 8500, 2014. Crossref

  13. Szyndler Joanna, Delannay Laurent, Muszka Krzysztof, Madej Lukasz, Numerical and experimental microscale analysis of the incremental forming process, 1892, 2017. Crossref

  14. Golab Rafal, Sitko Mateusz, Szyndler Joanna, Madej Łukasz, Cellular Automata Finite Element Approach for Modelling Microstructure Evolution under Thermo-Mechanical Processing Conditions, in Cellular Automata, 8751, 2014. Crossref

  15. Madej Lukasz, Legwand Adam, Mojzeszko Mateusz, Chraponski Jacek, Roskosz Stanislaw, Cwajna Jan, Experimental and numerical two- and three-dimensional investigation of porosity morphology of the sintered metallic material, Archives of Civil and Mechanical Engineering, 18, 4, 2018. Crossref

  16. Perzy Konrad, Sitko Mateusz, Madej Łukasz, Numerical Modelling of Fracture Based on Coupled Cellular Automata Finite Element Approach, in Cellular Automata, 8751, 2014. Crossref

  17. Szyndler Joanna, Grosman Franciszek, Tkocz Marek, Delannay Laurent, Wang Jiangting, Muszka Krzysztof, Madej Lukasz, Through scale material flow investigation in novel incremental bulk forming process, Journal of Materials Processing Technology, 287, 2021. Crossref

  18. Rauch Łukasz, Bzowski Krzysztof, Szeliga Danuta, Pietrzyk Maciej, Development and Application of the Statistically Similar Representative Volume Element for Numerical Modelling of Multiphase Materials, in Computational Science – ICCS 2020, 12142, 2020. Crossref

  19. Narayanan R. Ganesh, Ramulu Perumalla Janaki, V. Satheeshkumar, Agrawal Arvind K., Das Sumitesh, P. Ajay Kumar, Namboodiri V. Vishnu, Fabrication of Tailor-Made Metallic Structures for Lightweight Applications and Mechanical Behaviour, in Handbook of Research on Advancements in the Processing, Characterization, and Application of Lightweight Materials, 2022. Crossref

  20. Szeliga Danuta, Chang Yuling, Madej Lukasz, Bzowski Krzysztof, Perzyński Konrad, Haase Christian, Bleck Wolfgang, Pietrzyk Maciej, Correlating the Microstructural Heterogeneity with Local Formability of Cold‐Rolled Dual‐Phase and Complex‐Phase Steels Through Hardness Gradients, steel research international, 93, 9, 2022. Crossref

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