Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1160
Title: Support Vector Regression and Computational Fluid Dynamics Modeling of Newtonian and Non-Newtonian Fluids in Annulus With Pipe Rotation
Authors: Sorgun, Mehmet
Özbayoğlu, Ahmet Murat
Özbayoğlu, M. Evren
Keywords: Ann
Cfd
Non-Newtonian Fluids
Laminar Flow
Pipe Rotation
Pressure Loss
Svr
Publisher: ASME
Source: Sorgun, M., Ozbayoglu, A. M., & Ozbayoglu, M. E. (2015). Support Vector Regression and Computational Fluid Dynamics Modeling of Newtonian and Non-Newtonian Fluids in Annulus With Pipe Rotation. Journal of Energy Resources Technology, 137(3), 032901.
Abstract: The estimation of the pressure losses inside annulus during pipe rotation is one of the main concerns in various engineering professions. Pipe rotation is a considerable parameter affecting pressure losses in annulus during drilling. In this study, pressure losses of Newtonian and non-Newtonian fluids flowing through concentric horizontal annulus are predicted using computational fluid dynamics (CFD) and support vector regression (SVR). SVR and CFD results are compared with experimental data obtained from literature. The comparisons show that CFD model could predict frictional pressure gradient with an average absolute percent error less than 3.48% for Newtonian fluids and 19.5% for non-Newtonian fluids. SVR could predict frictional pressure gradient with an average absolute percent error less than 5.09% for Newtonian fluids and 5.98% for non-Newtonian fluids.
URI: http://energyresources.asmedigitalcollection.asme.org/article.aspx?articleid=1911781
https://hdl.handle.net/20.500.11851/1160
ISSN: 0195-0738
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

8
checked on Nov 2, 2024

WEB OF SCIENCETM
Citations

19
checked on Nov 2, 2024

Page view(s)

142
checked on Nov 4, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.