Singularity image method for electrical impedance tomography of bubbly flows

Huang, Cunkui; Lee, Jinhee; Schultz, William W.; Ceccio, Steven L.

Singularity image method for electrical impedance tomography of bubbly flows

dc.contributor.author	Huang, Cunkui	en_US
dc.contributor.author	Lee, Jinhee	en_US
dc.contributor.author	Schultz, William W.	en_US
dc.contributor.author	Ceccio, Steven L.	en_US
dc.date.accessioned	2006-12-19T19:15:00Z
dc.date.available	2006-12-19T19:15:00Z
dc.date.issued	2003-08-01	en_US
dc.identifier.citation	Huang, 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.issn	0266-5611	en_US
dc.identifier.uri	https://hdl.handle.net/2027.42/49106
dc.description.abstract	A 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.extent	3118 bytes
dc.format.extent	277196 bytes
dc.format.mimetype	text/plain
dc.format.mimetype	application/pdf
dc.language.iso	en_US
dc.publisher	IOP Publishing Ltd	en_US
dc.title	Singularity image method for electrical impedance tomography of bubbly flows	en_US
dc.type	Article	en_US
dc.subject.hlbsecondlevel	Physics	en_US
dc.subject.hlbtoplevel	Science	en_US
dc.description.peerreviewed	Peer Reviewed	en_US
dc.contributor.affiliationum	Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA	en_US
dc.contributor.affiliationum	Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA	en_US
dc.contributor.affiliationother	Institute of Engineering Thermophysics, Chinese Academy of Science, People’s Republic of China	en_US
dc.contributor.affiliationother	Department of Mechanical Information, Hongik University, Seoul, Korea	en_US
dc.contributor.affiliationumcampus	Ann Arbor	en_US
dc.description.bitstreamurl	http://deepblue.lib.umich.edu/bitstream/2027.42/49106/2/ip3409.pdf	en_US
dc.identifier.doi	http://dx.doi.org/10.1088/0266-5611/19/4/309	en_US
dc.identifier.source	Inverse Problems.	en_US
dc.owningcollname	Interdisciplinary and Peer-Reviewed

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