Доступ предоставлен для: Guest
Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Multiphase Science and Technology
SJR: 0.124 SNIP: 0.222 CiteScore™: 0.26

ISSN Печать: 0276-1459
ISSN Онлайн: 1943-6181

Выпуски:
Том 31, 2019 Том 30, 2018 Том 29, 2017 Том 28, 2016 Том 27, 2015 Том 26, 2014 Том 25, 2013 Том 24, 2012 Том 23, 2011 Том 22, 2010 Том 21, 2009 Том 20, 2008 Том 19, 2007 Том 18, 2006 Том 17, 2005 Том 16, 2004 Том 15, 2003 Том 14, 2002 Том 13, 2001 Том 12, 2000 Том 11, 1999 Том 10, 1998 Том 9, 1997 Том 8, 1994 Том 7, 1993 Том 6, 1992 Том 5, 1990 Том 4, 1989 Том 3, 1987 Том 2, 1986 Том 1, 1982

Multiphase Science and Technology

DOI: 10.1615/MultScienTechn.v27.i1.10
pages 1-26

VISCOUS OIL-WATER FLOW THROUGH AN INCLINED PIPELINE: EXPERIMENTATION AND PREDICTION OF FLOW PATTERNS

Anjali Dasari
Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India
Bharath Kumar Goshika
Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati-781039, Assam, India
Subrata Kumar Majumder
Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, PIN-781039, Assam, India
Tapas K Mandal
Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

Краткое описание

We identify and predict the flow patterns observed during concurrent flow of viscous oil (viscosity 107 m Pa s, density 889 kg/m3) and water through a +5 deg inclined circular Perspex pipe with internal diameter of 0.025 m. Flow patterns have been identified with the help of visual and photographic techniques in a wide range of superficial velocities of both the fluids (USO = 0.052−1.38 m/s and USW = 0.068−1.23 m/s). Seven different flow patterns (namely, plug, slug, wavy stratified, stratified mixed, annular, dispersion of oil in water, and dispersion of water in oil flow) have been identified and a flow pattern map has been developed for the present system. Flow pattern transition boundaries have been predicted by analytical models and probabilistic neural network (PNN) technique. Transition of wavy stratified to stratified mixed flow pattern has been predicted following the drop formation mechanism at interface proposed by Al-wahibi, Smith, and Angeli, (Transition between Stratified and Non-Stratified Horizontal Oil-Water Flows: Part II. Mechanism of Drop Formation, Chem. Eng. Sci., vol. 62, pp. 2929−2940, 2007). During the development of PNN, superficial velocities of oil and water, pipe diameter, viscosity ratio, density ratio, interfacial tension, and pipe inclination have been considered as governing parameters of the flow patterns. The trained PNN gives a better prediction over the analytical models with accuracy of ∼90%.


Articles with similar content:

FULLY DEVELOPED GAS-LIQUID FLOWS
Multiphase Science and Technology, Vol.15, 2003, issue 1-4
Thomas J. Hanratty
A PIV investigation of stratified gas-liquid flow in a horizontal pipe
ICHMT DIGITAL LIBRARY ONLINE, Vol.0, 2012, issue
A. Jensen , J. Kolaas, A.A. Ayati, G. Johnson
A THREE-PHASE SLUG FLOW INVESTIGATION BY TOMOGRAPHIC DUAL-BEAM X-RAY IMAGING: SLUG FREQUENCY MEASUREMENT AND LESSONS FOR CORRELATION DEVELOPMENT AND APPLICATION
Multiphase Science and Technology, Vol.28, 2016, issue 1
Christos Markides, Geoffrey F. Hewitt, Rhys G. Morgan, Jae S. An, Colin P. Hale, Ivan Zadrazil
STUDIES OF THE SLUG-ANNULAR REGIME TRANSITION IN TWO-PHASE FLOW IN HORIZONTAL PIPES
Multiphase Science and Technology, Vol.20, 2008, issue 1
Geoffrey F. Hewitt, Colin P. Hale, S. M. Richardson, S. Jamari
INVESTIGATION OF BUBBLE FREQUENCY IN SLUG FLOW REGIME FOR FLOW BOILING IN A SINGLE ROUND UNIFORMLY HEATED MICRO-CHANNEL
First Thermal and Fluids Engineering Summer Conference, Vol.15, 2015, issue
Ibrahim Hassan, Amen Younes, Lyes Kadem