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纳米力学科学与技术:国际期刊

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ISSN 打印: 2572-4258

ISSN 在线: 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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CHEMICALLY REACTING FLOW OF WATER- AND KEROSENE-BASED NANOFLUID IN A POROUS CHANNEL WITH STRETCHING WALLS

卷 11, 册 2, 2020, pp. 169-194
DOI: 10.1615/NanoSciTechnolIntJ.2020031087
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摘要

In this paper, a numerical study is performed to investigate the effects of heat source/sink and linear chemical reaction on the flow of water- and kerosene-based nanofluids in the presence of silver Ag and alumina (Al2O3) nanoparticles. Similarity transformations are used to transform the governing partial differential equations into a system of nonlinear ordinary differential equations which are numerically solved by the shooting method as well as by the implicit finite difference scheme, namely, the Keller box method. Influence of nanoparticle volume fraction, stretching parameter, and Reynolds number on the velocity profile is considered, while the effects of heat absorption on the temperature profile and chemical reaction parameter on the concentration profile for regular fluids (without solid volume fraction) and nanofluids are presented through various plots. Velocity, temperature, and concentration profiles are compared graphically using both numerical techniques. Skin friction, heat transfer, and mass transfer coefficients are presented and compared through tables via both methods.

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对本文的引用
  1. Ramzan Muhammad, Khan Noor Saeed, Kumam Poom, Khan Raees, A numerical study of chemical reaction in a nanofluid flow due to rotating disk in the presence of magnetic field, Scientific Reports, 11, 1, 2021. Crossref

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