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dc.contributor.authorPengtao Sun
dc.contributor.authorChaoyang Wang
dc.contributor.authorJinchao Xu
dc.date.accessioned2017-05-09T00:38:28Z
dc.date.available2017-05-09T00:38:28Z
dc.date.copyrightAugust, 2010
dc.date.issued2010
dc.identifier.issn2381-6872
dc.identifier.otherJFCSAU-28943#041010_1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/143609
dc.description.abstractIn this paper, a three-dimensional, two-phase transport model of liquid-feed direct methanol fuel cell (DMFC), which is based on the multiphase mixture formulation and encompasses all components in a DMFC using a single computational domain, is specifically studied and simulated by a combined finite element-upwind finite volume discretization along with Newton’s method, where flow, species, charge-transport, and energy equations are simultaneously addressed. Numerical simulations in three dimensions are carried out to explore and design efficient and robust numerical algorithms for the sake of fast and convergent nonlinear iteration. A series of efficient numerical algorithms and discretizations is specifically designed and analyzed to assist in achieving this goal. Our numerical simulations demonstrate that the convergent and correct physical solutions can be attained within 100 more steps, against the oscillating and long-running nonlinear iterations (up to 5000 steps) performed by standard finite element/volume method without new numerical techniques.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleA Combined Finite Element-Upwind Finite Volume Method for Liquid-Feed Direct Methanol Fuel Cell Simulations
dc.typeJournal Paper
dc.journal.volume7
dc.journal.issue4
dc.journal.titleJournal of Fuel Cell Science and Technology
dc.identifier.doi10.1115/1.4000630
dc.journal.fristpage41010
dc.identifier.eissn2381-6910
dc.keywordsAnodes
dc.keywordsFinite element methods
dc.keywordsCatalysts
dc.keywordsDirect methanol fuel cells
dc.keywordsEquations
dc.keywordsFinite element model
dc.keywordsWater
dc.keywordsMethanol
dc.keywordsFlow (Dynamics)
dc.keywordsOxygen
dc.keywordsComputer simulation AND Algorithms
dc.treeJournal of Fuel Cell Science and Technology:;2010:;volume( 007 ):;issue: 004
dc.contenttypeFulltext


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