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Multiscale modeling in chemical vapor deposition processes: Coupling reactor scale with feature scale computations

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dc.contributor.author Cheimarios, N en
dc.contributor.author Kokkoris, G en
dc.contributor.author Boudouvis, AG en
dc.date.accessioned 2014-03-01T01:33:48Z
dc.date.available 2014-03-01T01:33:48Z
dc.date.issued 2010 en
dc.identifier.issn 0009-2509 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20604
dc.subject Chemical reactors en
dc.subject Computational fluid dynamics en
dc.subject Level set method en
dc.subject Mathematical modeling en
dc.subject Microstructure en
dc.subject Simulation en
dc.subject.classification Engineering, Chemical en
dc.subject.other Arrhenius expressions en
dc.subject.other Axisymmetric en
dc.subject.other Ballistic model en
dc.subject.other Chemical vapor deposition process en
dc.subject.other Commercial packages en
dc.subject.other Computational domains en
dc.subject.other Deposition time en
dc.subject.other Length scale en
dc.subject.other Level Set method en
dc.subject.other Macro scale en
dc.subject.other Mathematical modeling en
dc.subject.other Micro topography en
dc.subject.other Micro-scales en
dc.subject.other Multi-scale Modeling en
dc.subject.other Preexponential factor en
dc.subject.other Profile evolution en
dc.subject.other Scale models en
dc.subject.other Species consumption en
dc.subject.other Tungsten deposition en
dc.subject.other Wafer surface en
dc.subject.other Biology en
dc.subject.other Chemical reactors en
dc.subject.other Chemical vapor deposition en
dc.subject.other Chemicals en
dc.subject.other Computational fluid dynamics en
dc.subject.other Computational methods en
dc.subject.other Computer simulation en
dc.subject.other Drop breakup en
dc.subject.other Evolutionary algorithms en
dc.subject.other Fluid dynamics en
dc.subject.other Level measurement en
dc.subject.other Microstructure en
dc.subject.other Surface reactions en
dc.subject.other Surface topography en
dc.subject.other Topography en
dc.subject.other Tungsten en
dc.subject.other Coupled circuits en
dc.title Multiscale modeling in chemical vapor deposition processes: Coupling reactor scale with feature scale computations en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.ces.2010.06.004 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.ces.2010.06.004 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract A methodology for coupling multiple length scales in chemical vapor deposition processes is presented. A reactor scale model (RSM), used for the description of the macro-scale in the bulk, is coupled with a feature scale model (FSM), used for the description of the topography evolution of the micro-scale features(e.g. trenches or holes) on the wafer. The RSM is implemented with a commercial package and the FSM is implemented by combining a ballistic model for the transport and a profile evolution algorithm based on the level set method. The coupling of the RSM with the FSM is performed through the correction of the boundary condition for the species consumption along the wafer. Essentially, the pre-exponential factor of the Arrhenius expression for the surface reaction (s) is locally corrected along the wafer and this correction allows taking into account the micro-topography on the wafer without including it in the computational domain of the RSM. The coupling methodology implements flow of information in both directions, i.e. from the RSM to the FSM and backwards. Tungsten deposition from tungsten hexafluoride and hydrogen is the case studied. The reactor is axisymmetric and the wafer includes a series of trenches with dimensions at the micro-scale. The effect of the deposition time and the density (number) of trenches on the wafer on (a) the species consumption on the wafer and (b) the trench profile evolution is investigated. The loading phenomenon, i.e. the depletion of reactants due to their increased consumption on the micro-topography on the wafer surface is predicted. The importance of the feedback from the micro-scale (to the macro-scale) is demonstrated by comparing trench profiles produced with and without feedback. (C) 2010 Elsevier Ltd. All rights reserved. en
heal.publisher PERGAMON-ELSEVIER SCIENCE LTD en
heal.journalName Chemical Engineering Science en
dc.identifier.doi 10.1016/j.ces.2010.06.004 en
dc.identifier.isi ISI:000280667400009 en
dc.identifier.volume 65 en
dc.identifier.issue 17 en
dc.identifier.spage 5018 en
dc.identifier.epage 5028 en


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