Abo Bibliothek: Guest
Heat Transfer Research

Erscheint 18 Ausgaben pro Jahr

ISSN Druckformat: 1064-2285

ISSN Online: 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

Indexed in

INVESTIGATION OF PERFORMANCE OF DIFFERENT SGS MODELS IN THREE-DIMENSIONAL LES OF COMPRESSIBLE TEMPORAL MIXING LAYER

Volumen 49, Ausgabe 7, 2018, pp. 659-673
DOI: 10.1615/HeatTransRes.2018016266
Get accessGet access

ABSTRAKT

In this research, performance of one-equation subgrid scale stress models of LES in simulating three-dimensional compressible temporal mixing layers has been studied. For 3D flows at Ma = 0.8 the results of Smagorinsky, Yoshizawa's one-equation, dynamic one-equation, and Spalart–Allmaras one-equation models are compared with DNS data. Concerning the results of 3D flows, generally it is clear that the performance of the Spalart–Allmaras model is better than those of other one-equation models. Moreover, 3D flow is solved using the Spalart–Allmaras model at different Mach numbers, and turbulence characteristics and coherent structures have been investigated.

Digitales Portal Digitale Bibliothek eBooks Zeitschriften Referenzen und Berichte Forschungssammlungen Preise und Aborichtlinien Begell House Kontakt Language English 中文 Русский Português German French Spain