Library Subscription: Guest
Journal of Enhanced Heat Transfer

Published 8 issues per year

ISSN Print: 1065-5131

ISSN Online: 1563-5074

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: 2.3 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: 1.8 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: 0.2 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: 0.00037 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: 0.6 SJR: 0.433 SNIP: 0.593 CiteScore™:: 4.3 H-Index: 35

Indexed in

ANALYSIS OF NATURAL CONVECTION OF Cu AND TiO2 NANOFLUIDS INSIDE NONCONVENTIONAL ENCLOSURES

Volume 25, Issue 4-5, 2018, pp. 315-332
DOI: 10.1615/JEnhHeatTransf.2018021861
Get accessGet access

ABSTRACT

Steady-state laminar natural convection of Cu and TiO2 nanofluids inside different enclosures is numerically investigated. Natural convection is concerned due to a temperature difference between the hot and cold surfaces. The Boussinesq approximation is used to form the governing equations, and the commercial software package ANSYS FLUENT version 14.0 is used to numerically solve the governing equations. The temperature profiles and flow patterns at different Rayleigh numbers, such as 104, 105, and 106, are studied and compared for different curved geometries that are 1/8, 2/8, and 3/8 of the height of the enclosure. Heat transfer coefficients are presented for enclosures with different nanofluid concentrations. The nanoparticles enhance the heat transfer, and the heat transfer enhancement increases with increasing nanoparticle concentrations. A new curved enclosure is suggested to augment heat transfer.

CITED BY
  1. Yang Jiawang, Yang Xian, Wang Jin, Chin Hon Huin, Sundén Bengt, Review on Thermal Performance of Nanofluids With and Without Magnetic Fields in Heat Exchange Devices, Frontiers in Energy Research, 10, 2022. Crossref

  2. Mousavi Ajarostaghi Seyed Soheil, Zaboli Mohammad, Javadi Hossein, Badenes Borja, Urchueguia Javier F., A Review of Recent Passive Heat Transfer Enhancement Methods, Energies, 15, 3, 2022. Crossref

Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections Prices and Subscription Policies Begell House Contact Us Language English 中文 Русский Português German French Spain