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Journal of Flow Visualization and Image Processing

Publication de 4  numéros par an

ISSN Imprimer: 1065-3090

ISSN En ligne: 1940-4336

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: 0.6 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: 0.6 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: 0.00013 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: 0.14 SJR: 0.201 SNIP: 0.313 CiteScore™:: 1.2 H-Index: 13

Indexed in

DISCRETE ELEMENT METHOD FOR MOLECULAR SCALE VISUALIZATION OF MICRO-FLOWS

Volume 14, Numéro 1, 2007, pp. 17-34
DOI: 10.1615/JFlowVisImageProc.v14.i1.20
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RÉSUMÉ

According to the Knudsen number four different types of flow regimes can be identified: continuum, slip, transition, and free-molecular flow. The continuum flow regime is well described by the Navier−Stokes equations. The slip flow can also be described by the Navier−Stokes equations, provided that some special boundary conditions are prescribed. In the transition and the free-molecular flow regimes, the flow is described by the Boltzmann equation, which is a molecular-based model. By using this model, it is possible to solve the high Knudsen number flow problems through molecular-based direct simulation techniques.
However, independent of micro-flow research the particulate-solids research community has developed the so-called Discrete Element Method. In recent years, QMUL and MIT research groups (Munjiza, Williams) have revolutionarized these methods by inventing a set of linear packing-density-independent search algorithms, which have enabled systems comprising billions of particles to be considered on a desktop machine. Recently the QMUL group has applied the method to micro-flows. The most important aspect of this new method is accurate integration of motion of individual molecules including interaction between molecules.
As temporal and spatial constraints make the visualization of micro-flows in experimental research difficult, the new method is an ideal tool for visualization of micro-flows. The power of these new visualization tools is best demonstrated through the so-called "virtual movies" obtained from simulations. Through these movies the observer is given an opportunity to see the motion of individual atoms of a fluid and their interaction with each other and with the boundary.

CITÉ PAR
  1. Karakitsiou Stamatina, Holst Bodil, Hoffmann Alex Christian, Pressure-Driven Gas Flow through Nano-Channels at High Knudsen Numbers, Journal of Nano Research, 50, 2017. Crossref

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