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International Journal for Multiscale Computational Engineering

Erscheint 6 Ausgaben pro Jahr

ISSN Druckformat: 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

GRAPHENE/CARBON NANOTUBE REINFORCED METALLIC GLASS COMPOSITES: A MOLECULAR DYNAMICS STUDY

Volumen 14, Ausgabe 6, 2016, pp. 555-584
DOI: 10.1615/IntJMultCompEng.2016018635
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ABSTRAKT

Single-layer graphene sheets and carbon nanotubes (CNTs) have resulted in the development of new materials for a variety of applications. Though there are a large number of experimental and numerical studies related to these nanofillers, still there is a lack of understanding of the effect of geometrical characteristics of these nanofillers on their mechanical properties. In this study, molecular dynamics (MD) simulation has been used to study the effect of CNT and graphene reinforcements on the mechanical properties of amorphous metallic glass (MG). Materials Studio 7.0 has been used as a tool for finding the tensile modulus, yield strength, and yield strain of anocomposites. Both short and long CNT and graphene reinforced MG composites have been studied. The effect of nanofiller volume fraction (Vf) on the mechanical properties has also been studied. Results showed that with increase in Vf the Young's modulus of long graphene/MG composites increased at a faster rate than that for long CNT/MG composites. For the same Vf, the Young's modulus of long graphene/MG composite was higher than long CNT/MG composite, thus showing that graphene is a better reinforcement than CNT for MG based composites. MG with short nanoreinforcements showed very small improvement in mechanical properties.

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