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Computational analysis of surface-tension-driven coating-defect flow

dc.contributor.authorBlunk, Richard H. J.en_US
dc.contributor.authorWilkes, James O.en_US
dc.date.accessioned2007-01-17T15:56:04Z
dc.date.available2007-01-17T15:56:04Z
dc.date.issued2001-04en_US
dc.identifier.citationBlunk, 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.issn0001-1541en_US
dc.identifier.issn1547-5905en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/49314
dc.description.abstractBondline 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.extent242848 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherChemistryen_US
dc.subject.otherChemical Engineeringen_US
dc.titleComputational analysis of surface-tension-driven coating-defect flowen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelChemical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDept. of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109en_US
dc.contributor.affiliationotherGM R&D Center, General Motors Corp., Warren, MI 48090 ; GM R&D Center, General Motors Corp., Warren, MI 48090en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/49314/1/690470404_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/aic.690470404en_US
dc.identifier.sourceAIChE Journalen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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