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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

Grate Furnace Combustion: A Submodel for the Solid Fuel Layer

Volumen 6, Ausgabe 1, 2008, pp. 103-111
DOI: 10.1615/IntJMultCompEng.v6.i1.90
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ABSTRAKT

The reduction of NOx formation in biomass-fired grate furnaces requires the development of numerical models. An essential part of such a model is the submodel for the conversion of the solid fuel on the grate. The submodel presented is able to predict the velocity of the conversion front as well as spatial profiles of porosity, species mass fraction and temperature. The possibility to make use of detailed kinetic mechanisms previously applied only for gas-phase combustion processes is a new feature of our model. Application of these mechanisms is essential step for future toward future NOx predictions.

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