Artificial intelligence approach for energy and entropy analyses of NiFe2O4/H2O nanofluid flow in a tube with vortex generator
Yazarlar (1)
Doç. Dr. Mehmet GÜRDAL Kastamonu Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Engineering Analysis with Boundary Elements (Q1)
Dergi ISSN 0955-7997 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili Ingilizce Basım Tarihi 07-2023
Cilt / Sayı / Sayfa 152 / 1 / 277–292 DOI 10.1016/j.enganabound.2023.04.016
Makale Linki http://dx.doi.org/10.1016/j.enganabound.2023.04.016
UAK Araştırma Alanları
Termodinamik Isı Transferi Akışkanlar Mekaniği
Özet
The base purpose of the study is to examine the influence of vortex generator geometry and nanofluid on thermo-hydraulic and irreversibility behavior by using a numerical and predictable approach under a laminar flow regime. The selection of an original magnetic nanofluid, the handling of forced convection in a tube including a vortex generator with the artificial neural network approach, and the 2nd law analysis of thermodynamics reflect the novelty of the study. In this context, it was explored numerically for heat transfer and flow profiles of NiFe2O4/H2O flowing with 1% volume fraction in a tube with different vortex generator geometries. This study has been carried out with the solutions under constant heat flux conditions of 2000 W/m2 along the tube. The analyzes have been applied in the range of 500≤Re≤2000. The Laminar model and single-phase approach in all analyses have been taken into account …
Anahtar Kelimeler
Artificial neural network | Entropy | Forced heat convection | Nanofluid flow | Wavy tape insert
Science Direct
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 19
Scopus 20
Google Scholar 20
Artificial intelligence approach for energy and entropy analyses of NiFe2O4/H2O nanofluid flow in a tube with vortex generator

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