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Nanoscience and Technology: An International Journal

年間 4 号発行

ISSN 印刷: 2572-4258

ISSN オンライン: 2572-4266

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: 1.3 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: 1.7 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: 0.7 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: 0.00023 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: 0.11 SJR: 0.244 SNIP: 0.521 CiteScore™:: 3.6 H-Index: 14

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PREDICTION OF THERMOPHYSICAL AND THERMOMECHANICAL PROPERTIES OF HIGH-TEMPERATURE LAYERED COMPOSITES BASED ON THE Al2O3–Cr SYSTEM

巻 6, 発行 1, 2015, pp. 17-30
DOI: 10.1615/NanomechanicsSciTechnolIntJ.v6.i1.20
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要約

A universal model for predicting the thermophysical and thermomechanical properties of layered composites, designed for the conditions of intense and sharply varying thermal effects, was developed. The procedure of identification of the model parameters based on experimental data was formalized in mathematical terms and implemented. Mathematical problems of engineering and functional optimization of the structural parameters of the layered composite were formulated in order to reach the required set of the physicomechanical characteristics of the final material. The temperature distribution and the pattern of the stress-strain state in the structure of the Al2O3–Cr layered composite were modeled numerically in conditions of intense thermal effect. The developed model was verified by the results of experimental investigations performed on the prototype of the Al2O3–Cr layered composite.

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