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International Journal of Energetic Materials and Chemical Propulsion

Published 6 issues per year

ISSN Print: 2150-766X

ISSN Online: 2150-7678

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: 0.7 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: 0.7 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: 0.1 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: 0.00016 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: 0.18 SJR: 0.313 SNIP: 0.6 CiteScore™:: 1.6 H-Index: 16

Indexed in

COMPUTATIONALLY BASED DEVELOPMENT OF CHEMICAL KINETICS MECHANISMS FOR MODELING THE COMBUSTION CHAMBER DYNAMICS OF ROCKET PROPULSION SYSTEMS

Volume 12, Issue 1, 2013, pp. 27-40
DOI: 10.1615/IntJEnergeticMaterialsChemProp.2013005403
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ABSTRACT

The U.S. Army Research Laboratory is developing finite-rate, gas-phase chemical kinetics mechanisms for use in modeling the combustion chamber dynamics of novel rocket propulsion systems. For propellant systems whose combustion chemistry has not been previously investigated at a fundamental level, postulated reaction paths are simulated with quantum chemistry methods, and predictions for individual paths are converted to kinetic rate expressions using transition state theory. Rate expressions for individual reactions are then assembled to yield detailed mechanisms whose reasonableness for specific applications are evaluated by employing them to model relevant measured data. Detailed mechanisms then serve as the basis for deriving reaction sets that can be employed as submodels in computational fluid dynamics codes. This approach has been successfully employed to develop submodels for a number of hypergolic (liquid) bipropellant combinations and a (liquid-solid) hybrid system. It is also being employed to develop submodels for (solid) minimum-smoke propellant formulations. This paper discusses the application, efficacy, and benefits of the approach through the presentation of some representative examples.

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