Computational analysis of surface-tension-driven coating-defect flow
dc.contributor.author | Blunk, Richard H. J. | en_US |
dc.contributor.author | Wilkes, James O. | en_US |
dc.date.accessioned | 2007-01-17T15:56:04Z | |
dc.date.available | 2007-01-17T15:56:04Z | |
dc.date.issued | 2001-04 | en_US |
dc.identifier.citation | Blunk, Richard H. J.; Wilkes, James O. (2001)."Computational analysis of surface-tension-driven coating-defect flow." AIChE Journal 47(4): 779-789. <http://hdl.handle.net/2027.42/49314> | en_US |
dc.identifier.issn | 0001-1541 | en_US |
dc.identifier.issn | 1547-5905 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/49314 | |
dc.description.abstract | Bondline readout (BLRO) is a coating defect frequently exhibited on adhesively-bonded, polymeric automotive body panels painted with high-glamor/flow clearcoats. BLRO or telegraphing results from Marangoni-type, surface-tension-driven flows. An efficient numerical code was developed to predict temperature- and concentration-induced BLRO flows to use it as an effective tool for screening and developing potential clearcoat systems. Two numerical codes were developed: a 1-D code based on the lubrication approximation; a 2-D code based on the SIMPLER (Semiimplicit method for pressure-linked equations revised) algorithm. The 1-D code produced BLRO profiles in agreement with those predicted from the 2-D code and those measured from BLRO flow experiments, thus confirming a proposed BLRO mechanism. Moreover, the 1-D code was vastly more time-efficient than the 2-D code due to a severe time-step stability limitation found with the latter. | en_US |
dc.format.extent | 242848 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Chemistry | en_US |
dc.subject.other | Chemical Engineering | en_US |
dc.title | Computational analysis of surface-tension-driven coating-defect flow | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Chemical Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Dept. of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109 | en_US |
dc.contributor.affiliationother | GM R&D Center, General Motors Corp., Warren, MI 48090 ; GM R&D Center, General Motors Corp., Warren, MI 48090 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/49314/1/690470404_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/aic.690470404 | en_US |
dc.identifier.source | AIChE Journal | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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