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Singularity image method for electrical impedance tomography of bubbly flows
dc.contributor.authorHuang, Cunkuien_US
dc.contributor.authorLee, Jinheeen_US
dc.contributor.authorSchultz, William W.en_US
dc.contributor.authorCeccio, Steven L.en_US
dc.date.accessioned2006-12-19T19:15:00Z
dc.date.available2006-12-19T19:15:00Z
dc.date.issued2003-08-01en_US
dc.identifier.citationHuang, Cunkui; Lee, Jinhee; Schultz, William W; Ceccio, Steven L (2003). "Singularity image method for electrical impedance tomography of bubbly flows." Inverse Problems. 19(4): 919-931. <http://hdl.handle.net/2027.42/49106>en_US
dc.identifier.issn0266-5611en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/49106
dc.description.abstractA singularity image method is applied to the electrical impedance tomography of gas–liquid flows in a two-dimensional circular domain. Algorithms that use analytic complex functions, dipoles and the Milne-Thomson circle theorem are described. Numerical experiments are provided to demonstrate the robustness of this technique. Numerical results show excellent reconstruction properties.en_US
dc.format.extent3118 bytes
dc.format.extent277196 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherIOP Publishing Ltden_US
dc.titleSingularity image method for electrical impedance tomography of bubbly flowsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationotherInstitute of Engineering Thermophysics, Chinese Academy of Science, People’s Republic of Chinaen_US
dc.contributor.affiliationotherDepartment of Mechanical Information, Hongik University, Seoul, Koreaen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/49106/2/ip3409.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1088/0266-5611/19/4/309en_US
dc.identifier.sourceInverse Problems.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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