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Flow regime development analysis in adiabatic upward two-phase flow in a vertical annulus
In this work radial and axial flow regime development in adiabatic upward air–water two-phase flow in a vertical annulus has been investigated. Local flow regimes have been identified using conductivity probes and neural networks techniques. The inner and outer diameters of the annulus are 19.1 mm a...
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Published in: | The International journal of heat and fluid flow 2011-02, Vol.32 (1), p.164-175 |
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description | In this work radial and axial flow regime development in adiabatic upward air–water two-phase flow in a vertical annulus has been investigated. Local flow regimes have been identified using conductivity probes and neural networks techniques. The inner and outer diameters of the annulus are 19.1
mm and 38.1
mm, respectively. The equivalent hydraulic diameter of the flow channel,
D
H
, is 19.0
mm and the total length is 4.37
m. The flow regime map includes 1080 local flow regimes identifications in 72 flow conditions within a range of 0.01
m/s
<
〈
j
g
〉
<
30
m/s and 0.2
m/s
<
〈
j
f
〉
<
3.5
m/s where 〈
j
g
〉 and 〈
j
f
〉 are, respectively, superficial gas and liquid velocities. The local flow regime has been classified into four categories: bubbly, cap–slug, churn-turbulent and annular flows. In order to study the radial and axial development of flow regime the measurements have been performed at five radial locations. The three axial positions correspond to
z/
D
H
=
52, 149 and 230, where
z represents the axial position. The flow regime indicator has been chosen as some statistical parameters of local bubble chord length distributions and self-organized neural networks have been used as mapping system. This information has been also used to compare the results given by the existing flow regime transition models. The local flow regime is characterized basically by the void fraction and bubble chord length. The radial development of flow regime shows partial and complete local flow regime combinations. The radial development is controlled by axial location and superficial liquid velocity. The radial flow regime transition is always initiated in the center of the flow channel and it is propagated towards the channel boundaries. The axial development of flow regime is observed in all the flow maps and it is governed by superficial liquid velocity and radial location. The prediction results of the models are compared for each flow regime transition. |
doi_str_mv | 10.1016/j.ijheatfluidflow.2010.09.003 |
format | article |
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mm and 38.1
mm, respectively. The equivalent hydraulic diameter of the flow channel,
D
H
, is 19.0
mm and the total length is 4.37
m. The flow regime map includes 1080 local flow regimes identifications in 72 flow conditions within a range of 0.01
m/s
<
〈
j
g
〉
<
30
m/s and 0.2
m/s
<
〈
j
f
〉
<
3.5
m/s where 〈
j
g
〉 and 〈
j
f
〉 are, respectively, superficial gas and liquid velocities. The local flow regime has been classified into four categories: bubbly, cap–slug, churn-turbulent and annular flows. In order to study the radial and axial development of flow regime the measurements have been performed at five radial locations. The three axial positions correspond to
z/
D
H
=
52, 149 and 230, where
z represents the axial position. The flow regime indicator has been chosen as some statistical parameters of local bubble chord length distributions and self-organized neural networks have been used as mapping system. This information has been also used to compare the results given by the existing flow regime transition models. The local flow regime is characterized basically by the void fraction and bubble chord length. The radial development of flow regime shows partial and complete local flow regime combinations. The radial development is controlled by axial location and superficial liquid velocity. The radial flow regime transition is always initiated in the center of the flow channel and it is propagated towards the channel boundaries. The axial development of flow regime is observed in all the flow maps and it is governed by superficial liquid velocity and radial location. The prediction results of the models are compared for each flow regime transition.</description><identifier>ISSN: 0142-727X</identifier><identifier>EISSN: 1879-2278</identifier><identifier>DOI: 10.1016/j.ijheatfluidflow.2010.09.003</identifier><identifier>CODEN: IJHFD2</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Adiabatic flow ; Annulus ; Bubbles ; Channels ; Conductivity probe ; Exact sciences and technology ; Flows in ducts, channels, nozzles, and conduits ; Fluid dynamics ; Fluid flow ; Fundamental areas of phenomenology (including applications) ; Instrumentation for fluid dynamics ; Liquids ; Local flow ; Local flow regime ; Mathematical models ; Multiphase and particle-laden flows ; Neural network ; Neural networks ; Nonhomogeneous flows ; Physics ; Two-phase flow</subject><ispartof>The International journal of heat and fluid flow, 2011-02, Vol.32 (1), p.164-175</ispartof><rights>2010 Elsevier Inc.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-2ac0c2d5f4387aa9fb7dd4bb9f8191af878664fb617e803c7ba6a0b59e8c2c7f3</citedby><cites>FETCH-LOGICAL-c395t-2ac0c2d5f4387aa9fb7dd4bb9f8191af878664fb617e803c7ba6a0b59e8c2c7f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23811336$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Julia, J. Enrique</creatorcontrib><creatorcontrib>Ozar, Basar</creatorcontrib><creatorcontrib>Jeong, Jae-Jun</creatorcontrib><creatorcontrib>Hibiki, Takashi</creatorcontrib><creatorcontrib>Ishii, Mamoru</creatorcontrib><title>Flow regime development analysis in adiabatic upward two-phase flow in a vertical annulus</title><title>The International journal of heat and fluid flow</title><description>In this work radial and axial flow regime development in adiabatic upward air–water two-phase flow in a vertical annulus has been investigated. Local flow regimes have been identified using conductivity probes and neural networks techniques. The inner and outer diameters of the annulus are 19.1
mm and 38.1
mm, respectively. The equivalent hydraulic diameter of the flow channel,
D
H
, is 19.0
mm and the total length is 4.37
m. The flow regime map includes 1080 local flow regimes identifications in 72 flow conditions within a range of 0.01
m/s
<
〈
j
g
〉
<
30
m/s and 0.2
m/s
<
〈
j
f
〉
<
3.5
m/s where 〈
j
g
〉 and 〈
j
f
〉 are, respectively, superficial gas and liquid velocities. The local flow regime has been classified into four categories: bubbly, cap–slug, churn-turbulent and annular flows. In order to study the radial and axial development of flow regime the measurements have been performed at five radial locations. The three axial positions correspond to
z/
D
H
=
52, 149 and 230, where
z represents the axial position. The flow regime indicator has been chosen as some statistical parameters of local bubble chord length distributions and self-organized neural networks have been used as mapping system. This information has been also used to compare the results given by the existing flow regime transition models. The local flow regime is characterized basically by the void fraction and bubble chord length. The radial development of flow regime shows partial and complete local flow regime combinations. The radial development is controlled by axial location and superficial liquid velocity. The radial flow regime transition is always initiated in the center of the flow channel and it is propagated towards the channel boundaries. The axial development of flow regime is observed in all the flow maps and it is governed by superficial liquid velocity and radial location. The prediction results of the models are compared for each flow regime transition.</description><subject>Adiabatic flow</subject><subject>Annulus</subject><subject>Bubbles</subject><subject>Channels</subject><subject>Conductivity probe</subject><subject>Exact sciences and technology</subject><subject>Flows in ducts, channels, nozzles, and conduits</subject><subject>Fluid dynamics</subject><subject>Fluid flow</subject><subject>Fundamental areas of phenomenology (including applications)</subject><subject>Instrumentation for fluid dynamics</subject><subject>Liquids</subject><subject>Local flow</subject><subject>Local flow regime</subject><subject>Mathematical models</subject><subject>Multiphase and particle-laden flows</subject><subject>Neural network</subject><subject>Neural networks</subject><subject>Nonhomogeneous flows</subject><subject>Physics</subject><subject>Two-phase flow</subject><issn>0142-727X</issn><issn>1879-2278</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqNkDFv2zAUhImgBeK6-Q9cgk5ySEomqSFDETRJAQNdWqCZiCfyMaZBSyop2ci_Dx0HHTp1esP77g53hFxztuKMy5vdKuy2CJOPc3A-DseVYOXH2hVj9QVZcK3aSgilP5AF442olFC_L8mnnHeMMckatSBP90VHEz6HPVKHB4zDuMd-otBDfMkh09BTcAE6mIKl83iE5Oh0HKpxCxnpKfYNoQdMhYBYlP0c5_yZfPQQM1693yX5df_t591jtfnx8P3u66aydbueKgGWWeHWvqm1Amh9p5xruq71mrccvFZaysZ3kivUrLaqAwmsW7eorbDK10vy5ew7puHPjHky-5Atxgg9DnM2WvJ1I7hUhbw9kzYNOSf0ZkxhD-nFcGZOi5qd-WdRc1rUsNaURYv--j0JcinqE_Q25L8motac17Us3MOZw1L7EDCZbAP2Fl1IaCfjhvCfia9ExZgK</recordid><startdate>20110201</startdate><enddate>20110201</enddate><creator>Julia, J. Enrique</creator><creator>Ozar, Basar</creator><creator>Jeong, Jae-Jun</creator><creator>Hibiki, Takashi</creator><creator>Ishii, Mamoru</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20110201</creationdate><title>Flow regime development analysis in adiabatic upward two-phase flow in a vertical annulus</title><author>Julia, J. Enrique ; Ozar, Basar ; Jeong, Jae-Jun ; Hibiki, Takashi ; Ishii, Mamoru</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-2ac0c2d5f4387aa9fb7dd4bb9f8191af878664fb617e803c7ba6a0b59e8c2c7f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adiabatic flow</topic><topic>Annulus</topic><topic>Bubbles</topic><topic>Channels</topic><topic>Conductivity probe</topic><topic>Exact sciences and technology</topic><topic>Flows in ducts, channels, nozzles, and conduits</topic><topic>Fluid dynamics</topic><topic>Fluid flow</topic><topic>Fundamental areas of phenomenology (including applications)</topic><topic>Instrumentation for fluid dynamics</topic><topic>Liquids</topic><topic>Local flow</topic><topic>Local flow regime</topic><topic>Mathematical models</topic><topic>Multiphase and particle-laden flows</topic><topic>Neural network</topic><topic>Neural networks</topic><topic>Nonhomogeneous flows</topic><topic>Physics</topic><topic>Two-phase flow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Julia, J. Enrique</creatorcontrib><creatorcontrib>Ozar, Basar</creatorcontrib><creatorcontrib>Jeong, Jae-Jun</creatorcontrib><creatorcontrib>Hibiki, Takashi</creatorcontrib><creatorcontrib>Ishii, Mamoru</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>The International journal of heat and fluid flow</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Julia, J. Enrique</au><au>Ozar, Basar</au><au>Jeong, Jae-Jun</au><au>Hibiki, Takashi</au><au>Ishii, Mamoru</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flow regime development analysis in adiabatic upward two-phase flow in a vertical annulus</atitle><jtitle>The International journal of heat and fluid flow</jtitle><date>2011-02-01</date><risdate>2011</risdate><volume>32</volume><issue>1</issue><spage>164</spage><epage>175</epage><pages>164-175</pages><issn>0142-727X</issn><eissn>1879-2278</eissn><coden>IJHFD2</coden><abstract>In this work radial and axial flow regime development in adiabatic upward air–water two-phase flow in a vertical annulus has been investigated. Local flow regimes have been identified using conductivity probes and neural networks techniques. The inner and outer diameters of the annulus are 19.1
mm and 38.1
mm, respectively. The equivalent hydraulic diameter of the flow channel,
D
H
, is 19.0
mm and the total length is 4.37
m. The flow regime map includes 1080 local flow regimes identifications in 72 flow conditions within a range of 0.01
m/s
<
〈
j
g
〉
<
30
m/s and 0.2
m/s
<
〈
j
f
〉
<
3.5
m/s where 〈
j
g
〉 and 〈
j
f
〉 are, respectively, superficial gas and liquid velocities. The local flow regime has been classified into four categories: bubbly, cap–slug, churn-turbulent and annular flows. In order to study the radial and axial development of flow regime the measurements have been performed at five radial locations. The three axial positions correspond to
z/
D
H
=
52, 149 and 230, where
z represents the axial position. The flow regime indicator has been chosen as some statistical parameters of local bubble chord length distributions and self-organized neural networks have been used as mapping system. This information has been also used to compare the results given by the existing flow regime transition models. The local flow regime is characterized basically by the void fraction and bubble chord length. The radial development of flow regime shows partial and complete local flow regime combinations. The radial development is controlled by axial location and superficial liquid velocity. The radial flow regime transition is always initiated in the center of the flow channel and it is propagated towards the channel boundaries. The axial development of flow regime is observed in all the flow maps and it is governed by superficial liquid velocity and radial location. The prediction results of the models are compared for each flow regime transition.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><doi>10.1016/j.ijheatfluidflow.2010.09.003</doi><tpages>12</tpages></addata></record> |
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language | eng |
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source | ScienceDirect Freedom Collection |
subjects | Adiabatic flow Annulus Bubbles Channels Conductivity probe Exact sciences and technology Flows in ducts, channels, nozzles, and conduits Fluid dynamics Fluid flow Fundamental areas of phenomenology (including applications) Instrumentation for fluid dynamics Liquids Local flow Local flow regime Mathematical models Multiphase and particle-laden flows Neural network Neural networks Nonhomogeneous flows Physics Two-phase flow |
title | Flow regime development analysis in adiabatic upward two-phase flow in a vertical annulus |
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