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Heat Transfer Research

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ISSN Печать: 1064-2285

ISSN Онлайн: 2162-6561

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: 1.7 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: 1.4 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: 0.6 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: 0.00072 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: 0.43 SJR: 0.318 SNIP: 0.568 CiteScore™:: 3.5 H-Index: 28

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NUMERICAL INVESTIGATION OF HEAT TRANSFER TO SUPERCRITICAL WATER IN A 2 × 2 ROD BUNDLE WITH TWO CHANNELS

Том 49, Выпуск 2, 2018, pp. 103-118
DOI: 10.1615/HeatTransRes.2017019599
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Краткое описание

In the present study, a numerical investigation was made using the ANSYS Fluent code to analyze the heat transfer to supercritical water in a 2 × 2 rod bundle. The geometry consists of two channels separated by a solid body. Water moves downward in the first channel and then moves upward in the second channel, which is connected through U-turns. This results in cooling of the rod bundle, which is stationed in the second channel. The outer diameter of the heated rod is 10 mm. Two turbulence models, i.e., k–ε (RNG) and k–ω (SST), were benchmarked against the experimental data. It was found out that the k–ω (SST) model gives the best prediction for heat transfer as well as for the wall temperature distribution in supercritical water with an error maximum of up to 6.8% for the heat transfer coefficient. A parametric study was carried out by the variation in the wall heat flux, mass flux, and operating pressure to study their effects on heat transfer. The results show that the heat transfer phenomenon is similar to that found in a simple tube. A comparison of the heat transfer coefficient with the Dittus–Boelter equation was made and was used for normalizing the predicted heat transfer coefficient. Three heat transfer regimes were observed, namely: normal heat transfer, enhanced heat transfer, and deteriorated heat transfer. The onset of heat transfer deterioration was predicted for a mass flux of 350 kg/m2·s, which shows lower values of the heat transfer coefficient ratio. It was observed that the effect of buoyancy was prominent near the pseudocritical region, after which its effect faded out.

ЦИТИРОВАНО В
  1. Yang Dong, Chen Lin, Feng Yongchang, Chen Haisheng, Comparisons of Supercritical Loop Flow and Heat Transfer Behavior Under Uniform and Nonuniform High-Flux Heat Inputs, Nuclear Science and Engineering, 2022. Crossref

  2. Li Xin, Xie Gongnan, Duan Hangfei, Boetcher Sandra K. S., Turbulent convective heat transfer behavior of supercritical water flowing upward in 2 × 2 rod bundle channels with various spacers, Numerical Heat Transfer, Part A: Applications, 82, 6, 2022. Crossref

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