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dc.contributor.authorYousefian, Sajjad
dc.contributor.authorGauthier, François
dc.contributor.authorMorán-Guerrero, Amadeo
dc.contributor.authorRichardson, Robert R.
dc.contributor.authorCurran, Henry J.
dc.contributor.authorQuinlan, Nathan J.
dc.contributor.authorMonaghan, Rory F.D.
dc.date.accessioned2017-10-06T13:37:02Z
dc.date.available2017-10-06T13:37:02Z
dc.date.issued2015-11-03
dc.identifier.citationYousefian, Sajjad, Gauthier, François, Morán-Guerrero, Amadeo, Richardson, Robert R., Curran, Henry J., Quinlan, Nathan J., & Monaghan, Rory F. D. (2015). Simplified Approach to the Prediction and Analysis of Temperature Inhomogeneity in Rapid Compression Machines. Energy & Fuels, 29(12), 8216-8225. doi: 10.1021/ef501961sen_IE
dc.identifier.issn1520-5029
dc.identifier.urihttp://hdl.handle.net/10379/6882
dc.description.abstractSubstantial progress has been made in understanding and reducing temperature inhomogeneity in rapid compression machines (RCMs) with the help of computational modeling. To date, however, it has not been possible to investigate and map the full range of possible RCM designs, working gases, and, operating conditions. In this work,, we present a framework which simplifies the task of comprehensive and general RCM performance prediction. A set of thermophysical and geometrical parameters has been defined to characterize the design and operating conditions of a general RCM. Dimensional analysis was applied to reduce the number of variables, and a sensitivity analysis, based on computational simulations, was used to rank the dimensionless parameters and eliminate unimportant-ones. The results of this analysis show that Reynolds number,, Prandtl number, aspect ratio,: and crevice volume ratio are the most important parameters determining temperature inhomogeneity. A further set of computational simulations was conducted to predict postcompression temperature inhomogeneity over the full range of RCM design and operating parameters. These results are well-represented by a simple power-law equation that correlates a dimensionless temperature inhomogenity parameter (mass-averaged over the main chamber) as a function of postcompression time with just three parameters-Peclet number (the product of Reynolds and, Prandtl numbers), aspect ratio, and crevice volume ratio. This equation-can serve as a simple and general tool for RCM designers and users who wish to determine optimal configurations that minimize temperature inhomogeneity for combustion experiments.en_IE
dc.description.sponsorshipS.Y. is supported by an NUI Galway College of Engineering and Informatics Scholarship and the NUI Galway Millennium Fund for Research. We acknowledge the DJEI/DES/SFI/HEA Irish Centre for High-End Computing (ICHEC) for the provision of computational facilities and support.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherAmerican Chemical Societyen_IE
dc.relation.ispartofEnergy & Fuelsen
dc.subjectCOMBUSTIONen_IE
dc.subjectVORTEXen_IE
dc.subjectNUMBERen_IE
dc.subjectCORNERen_IE
dc.subjectChemistryen_IE
dc.titleSimplified approach to the prediction and analysis of temperature inhomogeneity in rapid compression machinesen_IE
dc.typeArticleen_IE
dc.date.updated2017-10-03T13:22:19Z
dc.identifier.doi10.1021/ef501961s
dc.local.publishedsourcehttp://dx.doi.org/10.1021/ef501961sen_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|
dc.internal.rssid10466989
dc.local.contactHenry Curran, Dept Of Chemistry, Room 215, Arts/Science Building, Nui Galway. 3856 Email: henry.curran@nuigalway.ie
dc.local.copyrightcheckedNo
dc.local.versionACCEPTED
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