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International Journal of Energetic Materials and Chemical Propulsion

年間 6 号発行

ISSN 印刷: 2150-766X

ISSN オンライン: 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

EFFECT OF FLIGHT AND MOTOR OPERATING CONDITIONS ON INFRARED SIGNATURE PREDICTIONS OF ROCKET EXHAUST PLUMES

巻 14, 発行 1, 2015, pp. 29-56
DOI: 10.1615/IntJEnergeticMaterialsChemProp.2015011502
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要約

A computationally efficient methodology based on computational fluid dynamics (CFD) has been developed to predict the flow field and infrared signatures of rocket motor plumes. Because of the extreme environment in the plume and the difficulties in taking measurements of motors inflight, it has been partially validated with temporally- and spatially resolved imaging spectrometer data from the static firings of small flight-weight motors using a non-aluminized composite propellant. Axisymmetric simulations were carried out for a variety of motor burn time, flight velocity, altitude, and modeling parameters to establish their effects on the results. By extrapolating the axisymmetric CFD output into three dimensions, images of the rocket plume as seen by an infrared sensor outside the computational domain were also created. The CFD methodology correctly predicted the afterburning zone downstream of the nozzle, and good agreement for its location was obtained with the imaging spectrometer data. It also showed that flight velocity and altitude have substantial effects on the size, shape, and infrared emissions of the plume. Smaller effects on plume properties were predicted for different motor burn times, but indicated that more experimental data of greater temporal and spatial resolution of single static firings are required to better validate the CFD plume prediction methodology.

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  1. Sun Yiqiang, Dong Shikui, Niu Qinglin, Yang Sen, NIPC-based uncertainty analysis of infrared radiation from rocket exhaust plumes caused by nozzle exit conditions, Infrared Physics & Technology, 108, 2020. Crossref

  2. Ju Jian, Wang lei, Liu Jie, Guan Hua, Burning and radiance properties of Si in AP/HTPB based compositions, Infrared Physics & Technology, 110, 2020. Crossref

  3. Kim Sangmin, Kim Sanghoon, Kim Mintaek, Song Soonho, Lee Joon Sang, Infrared signature of NEPE, HTPB rocket plume under varying flight conditions and motor size, Infrared Physics & Technology, 112, 2021. Crossref

  4. Shi Chengkuan, Ju Jian, Li Zejun, Guo Zefeng, Guan Hua, Influence of Mg and Si content on infrared radiation performance of AP/HTPB system in each band, IOP Conference Series: Earth and Environmental Science, 639, 1, 2021. Crossref

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