Monte Carlo Probability Density Function Method for Gas Turbine Combustor Flowfield Predictions

A coupled Lagrangian Monte Carlo (MC) probability density function (PDF) Eulerian CFD technique is presented for calculating steady three-dimensional turbulent reacting flow in a gas turbine combustor. PDF transport methods model turbulence-combustion interactions more accurately than conventional t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of propulsion and power 1997-03, Vol.13 (2), p.218-225
Hauptverfasser: Tolpadi, Anil K, Correa, Sanjay M, Burrus, David L, Mongia, Hukam C
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 225
container_issue 2
container_start_page 218
container_title Journal of propulsion and power
container_volume 13
creator Tolpadi, Anil K
Correa, Sanjay M
Burrus, David L
Mongia, Hukam C
description A coupled Lagrangian Monte Carlo (MC) probability density function (PDF) Eulerian CFD technique is presented for calculating steady three-dimensional turbulent reacting flow in a gas turbine combustor. PDF transport methods model turbulence-combustion interactions more accurately than conventional turbulence models with an assumed-shape PDF. The PDF was over composition only. The PDF transport equation was solved using a Lagrangian particle-tracking MC method. This MC module has been coupled with CONCERT, which is a fully elliptic three-dimensional body-fitted CFD code based on pressure correction techniques. CONCERT calculates the mean velocity and mixing frequency field that are required by the composition PDF in the MC module, whereas the MC module computes the PDF from which the mean density field is extracted and supplied to CONCERT. This modeling approach was initially validated against Raman data taken in a recirculating bluff body stabilized flame. The computed mixture fraction and its variance (as obtained from the calculated PDF) compared very well against the corresponding measurements made along several radial lines at different axial downstream positions and along the axis. A typical single annular aircraft engine combustor was also analyzed. In this preliminary study, the flowfield, fuel, and temperature distribution were obtained based on the assumption of fast chemistry. The solutions obtained using the present approach were compared with those obtained using a presumed-shape PDF method. The comparison of the calculated exhaust gas temperatures using these two approaches with measurements made by a thermocouple rake appeared to indicate better agreement with the PDF transport technique. (Author)
doi_str_mv 10.2514/2.5173
format Article
fullrecord <record><control><sourceid>proquest_aiaa_</sourceid><recordid>TN_cdi_proquest_miscellaneous_26592156</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2312996466</sourcerecordid><originalsourceid>FETCH-LOGICAL-a341t-718aabe37455cb8fa38c43202a64b8e26c000e02399a3c6e676f3735f1eb74983</originalsourceid><addsrcrecordid>eNptkM1KAzEURoMoWKs-w4AgbqbmP5mlVFuFFl3UdchME0xJJzXJoH17p1YoqKsL957vcPkAuERwhBmit3jEkCBHYIAYISWRgh-DARRUlpQzeQrOUlpBiLjkYgDUPLTZFGMdfSheYqh17bzL2-LetGk3J13bZBfaYm7yW1gWNsRiqlOx6GLt2j4Z1nWXcr-d-PBhnfHL3mOW7juVzsGJ1T6Zi585BK-Th8X4sZw9T5_Gd7NSE4pyKZDUujZEUMaaWlpNZEMJhlhzWkuDeQMhNBCTqtKk4YYLbokgzCJTC1pJMgTXe-8mhvfOpKzWLjXGe92a0CWFOaswYrwHr36Bq9DFtv9NYYJwVXHK-UHXxJBSNFZtolvruFUIql3LCqtdyweddlofVH-om_-o_VVtllbZzvtsPjP5AphGh0w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2312996466</pqid></control><display><type>article</type><title>Monte Carlo Probability Density Function Method for Gas Turbine Combustor Flowfield Predictions</title><source>Alma/SFX Local Collection</source><creator>Tolpadi, Anil K ; Correa, Sanjay M ; Burrus, David L ; Mongia, Hukam C</creator><creatorcontrib>Tolpadi, Anil K ; Correa, Sanjay M ; Burrus, David L ; Mongia, Hukam C</creatorcontrib><description>A coupled Lagrangian Monte Carlo (MC) probability density function (PDF) Eulerian CFD technique is presented for calculating steady three-dimensional turbulent reacting flow in a gas turbine combustor. PDF transport methods model turbulence-combustion interactions more accurately than conventional turbulence models with an assumed-shape PDF. The PDF was over composition only. The PDF transport equation was solved using a Lagrangian particle-tracking MC method. This MC module has been coupled with CONCERT, which is a fully elliptic three-dimensional body-fitted CFD code based on pressure correction techniques. CONCERT calculates the mean velocity and mixing frequency field that are required by the composition PDF in the MC module, whereas the MC module computes the PDF from which the mean density field is extracted and supplied to CONCERT. This modeling approach was initially validated against Raman data taken in a recirculating bluff body stabilized flame. The computed mixture fraction and its variance (as obtained from the calculated PDF) compared very well against the corresponding measurements made along several radial lines at different axial downstream positions and along the axis. A typical single annular aircraft engine combustor was also analyzed. In this preliminary study, the flowfield, fuel, and temperature distribution were obtained based on the assumption of fast chemistry. The solutions obtained using the present approach were compared with those obtained using a presumed-shape PDF method. The comparison of the calculated exhaust gas temperatures using these two approaches with measurements made by a thermocouple rake appeared to indicate better agreement with the PDF transport technique. (Author)</description><identifier>ISSN: 0748-4658</identifier><identifier>EISSN: 1533-3876</identifier><identifier>DOI: 10.2514/2.5173</identifier><language>eng</language><publisher>Reston: American Institute of Aeronautics and Astronautics</publisher><subject>Combustion chambers ; Gas turbines ; Probability density functions</subject><ispartof>Journal of propulsion and power, 1997-03, Vol.13 (2), p.218-225</ispartof><rights>Copyright American Institute of Aeronautics and Astronautics Mar/Apr 1997</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a341t-718aabe37455cb8fa38c43202a64b8e26c000e02399a3c6e676f3735f1eb74983</citedby><cites>FETCH-LOGICAL-a341t-718aabe37455cb8fa38c43202a64b8e26c000e02399a3c6e676f3735f1eb74983</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27926,27927</link.rule.ids></links><search><creatorcontrib>Tolpadi, Anil K</creatorcontrib><creatorcontrib>Correa, Sanjay M</creatorcontrib><creatorcontrib>Burrus, David L</creatorcontrib><creatorcontrib>Mongia, Hukam C</creatorcontrib><title>Monte Carlo Probability Density Function Method for Gas Turbine Combustor Flowfield Predictions</title><title>Journal of propulsion and power</title><description>A coupled Lagrangian Monte Carlo (MC) probability density function (PDF) Eulerian CFD technique is presented for calculating steady three-dimensional turbulent reacting flow in a gas turbine combustor. PDF transport methods model turbulence-combustion interactions more accurately than conventional turbulence models with an assumed-shape PDF. The PDF was over composition only. The PDF transport equation was solved using a Lagrangian particle-tracking MC method. This MC module has been coupled with CONCERT, which is a fully elliptic three-dimensional body-fitted CFD code based on pressure correction techniques. CONCERT calculates the mean velocity and mixing frequency field that are required by the composition PDF in the MC module, whereas the MC module computes the PDF from which the mean density field is extracted and supplied to CONCERT. This modeling approach was initially validated against Raman data taken in a recirculating bluff body stabilized flame. The computed mixture fraction and its variance (as obtained from the calculated PDF) compared very well against the corresponding measurements made along several radial lines at different axial downstream positions and along the axis. A typical single annular aircraft engine combustor was also analyzed. In this preliminary study, the flowfield, fuel, and temperature distribution were obtained based on the assumption of fast chemistry. The solutions obtained using the present approach were compared with those obtained using a presumed-shape PDF method. The comparison of the calculated exhaust gas temperatures using these two approaches with measurements made by a thermocouple rake appeared to indicate better agreement with the PDF transport technique. (Author)</description><subject>Combustion chambers</subject><subject>Gas turbines</subject><subject>Probability density functions</subject><issn>0748-4658</issn><issn>1533-3876</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><recordid>eNptkM1KAzEURoMoWKs-w4AgbqbmP5mlVFuFFl3UdchME0xJJzXJoH17p1YoqKsL957vcPkAuERwhBmit3jEkCBHYIAYISWRgh-DARRUlpQzeQrOUlpBiLjkYgDUPLTZFGMdfSheYqh17bzL2-LetGk3J13bZBfaYm7yW1gWNsRiqlOx6GLt2j4Z1nWXcr-d-PBhnfHL3mOW7juVzsGJ1T6Zi585BK-Th8X4sZw9T5_Gd7NSE4pyKZDUujZEUMaaWlpNZEMJhlhzWkuDeQMhNBCTqtKk4YYLbokgzCJTC1pJMgTXe-8mhvfOpKzWLjXGe92a0CWFOaswYrwHr36Bq9DFtv9NYYJwVXHK-UHXxJBSNFZtolvruFUIql3LCqtdyweddlofVH-om_-o_VVtllbZzvtsPjP5AphGh0w</recordid><startdate>19970301</startdate><enddate>19970301</enddate><creator>Tolpadi, Anil K</creator><creator>Correa, Sanjay M</creator><creator>Burrus, David L</creator><creator>Mongia, Hukam C</creator><general>American Institute of Aeronautics and Astronautics</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>19970301</creationdate><title>Monte Carlo Probability Density Function Method for Gas Turbine Combustor Flowfield Predictions</title><author>Tolpadi, Anil K ; Correa, Sanjay M ; Burrus, David L ; Mongia, Hukam C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a341t-718aabe37455cb8fa38c43202a64b8e26c000e02399a3c6e676f3735f1eb74983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Combustion chambers</topic><topic>Gas turbines</topic><topic>Probability density functions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tolpadi, Anil K</creatorcontrib><creatorcontrib>Correa, Sanjay M</creatorcontrib><creatorcontrib>Burrus, David L</creatorcontrib><creatorcontrib>Mongia, Hukam C</creatorcontrib><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of propulsion and power</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tolpadi, Anil K</au><au>Correa, Sanjay M</au><au>Burrus, David L</au><au>Mongia, Hukam C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monte Carlo Probability Density Function Method for Gas Turbine Combustor Flowfield Predictions</atitle><jtitle>Journal of propulsion and power</jtitle><date>1997-03-01</date><risdate>1997</risdate><volume>13</volume><issue>2</issue><spage>218</spage><epage>225</epage><pages>218-225</pages><issn>0748-4658</issn><eissn>1533-3876</eissn><abstract>A coupled Lagrangian Monte Carlo (MC) probability density function (PDF) Eulerian CFD technique is presented for calculating steady three-dimensional turbulent reacting flow in a gas turbine combustor. PDF transport methods model turbulence-combustion interactions more accurately than conventional turbulence models with an assumed-shape PDF. The PDF was over composition only. The PDF transport equation was solved using a Lagrangian particle-tracking MC method. This MC module has been coupled with CONCERT, which is a fully elliptic three-dimensional body-fitted CFD code based on pressure correction techniques. CONCERT calculates the mean velocity and mixing frequency field that are required by the composition PDF in the MC module, whereas the MC module computes the PDF from which the mean density field is extracted and supplied to CONCERT. This modeling approach was initially validated against Raman data taken in a recirculating bluff body stabilized flame. The computed mixture fraction and its variance (as obtained from the calculated PDF) compared very well against the corresponding measurements made along several radial lines at different axial downstream positions and along the axis. A typical single annular aircraft engine combustor was also analyzed. In this preliminary study, the flowfield, fuel, and temperature distribution were obtained based on the assumption of fast chemistry. The solutions obtained using the present approach were compared with those obtained using a presumed-shape PDF method. The comparison of the calculated exhaust gas temperatures using these two approaches with measurements made by a thermocouple rake appeared to indicate better agreement with the PDF transport technique. (Author)</abstract><cop>Reston</cop><pub>American Institute of Aeronautics and Astronautics</pub><doi>10.2514/2.5173</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0748-4658
ispartof Journal of propulsion and power, 1997-03, Vol.13 (2), p.218-225
issn 0748-4658
1533-3876
language eng
recordid cdi_proquest_miscellaneous_26592156
source Alma/SFX Local Collection
subjects Combustion chambers
Gas turbines
Probability density functions
title Monte Carlo Probability Density Function Method for Gas Turbine Combustor Flowfield Predictions
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T02%3A27%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_aiaa_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Monte%20Carlo%20Probability%20Density%20Function%20Method%20for%20Gas%20Turbine%20Combustor%20Flowfield%20Predictions&rft.jtitle=Journal%20of%20propulsion%20and%20power&rft.au=Tolpadi,%20Anil%20K&rft.date=1997-03-01&rft.volume=13&rft.issue=2&rft.spage=218&rft.epage=225&rft.pages=218-225&rft.issn=0748-4658&rft.eissn=1533-3876&rft_id=info:doi/10.2514/2.5173&rft_dat=%3Cproquest_aiaa_%3E2312996466%3C/proquest_aiaa_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2312996466&rft_id=info:pmid/&rfr_iscdi=true