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Computational Thermal Sciences: An International Journal

年間 6 号発行

ISSN 印刷: 1940-2503

ISSN オンライン: 1940-2554

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: 1.5 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 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: 0.3 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: 0.00017 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: 0.28 SJR: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

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DIFFERENTIAL TRANSFORMATION METHOD FOR SOLVING THE NONLINEAR HEAT TRANSFER EQUATION WITH A VARIABLE SPECIFIC HEAT COEFFICIENT

巻 4, 発行 3, 2012, pp. 183-191
DOI: 10.1615/ComputThermalScien.2012003250
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要約

In this paper, the nonlinear heat transfer equation is investigated by considering a variable specific heat coefficient. The calculations are carried out by using the differential transformation method (DTM), which is a seminumerical analytical solution technique. Using the DTM, the nonlinear constrained governing equations are reduced to recurrence relations and related initial conditions are transformed into a set of algebraic equations. The principle of differential transformation is briefly introduced, and is then applied to the aforementioned equation. The solutions are subsequently solved by a process of inverse transformation. The current results are then compared with those derived from the established Fehlberg fourth-fifth order Runge-Kutta method in order to verify the accuracy of the proposed method. Accordingly, several illustrative numerical computations are given to demonstrate the effectiveness of the present method. The findings reveal that the DTM can achieve accurate results in predicting the solution of such problems.

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