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dc.contributor.authorQadri, Ubaid
dc.contributor.authorMagri, Luca
dc.contributor.authorIhme, Matthias
dc.contributor.authorSchmid, Peter
dc.date.accessioned2019-01-17T00:30:51Z
dc.date.available2019-01-17T00:30:51Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/288105
dc.description.abstractWe derive and implement a gradient-based optimization framework to identify the best place to ignite a mixture of fuel and oxidizer. We have used the time-averaged in- crease in thermal energy as the cost function that indicates the success of ignition. We use direct numerical simulation (DNS) of the low Mach number Navier–Stokes equations with single-step finite-rate reaction chemistry to model spark ignition of an axisymmetric methane jet in air.We model the spark as a two-dimensional Gaussian function. We solve the adjoint of these equations to obtain the sensitivity of the cost function with respect to the position of the spark. We find that the optimal locations track the stoichiometric mixture fraction surface in the flow. At low Reynolds numbers, the optimization prefers locations downstream that allow upstream flame propagation.
dc.titleOptimal ignition placement in diffusion flames by nonlinear adjoint looping
dc.typeConference Object
dc.identifier.doi10.17863/CAM.35420
dcterms.dateAccepted2015-12-31
rioxxterms.versionofrecord10.17863/CAM.35420
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2015-12-31
dc.contributor.orcidQadri, Ubaid [0000-0003-1360-6223]
dc.contributor.orcidMagri, Luca [0000-0002-0657-2611]
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.funder-project-idRoyal Academy of Engineering (RAEng)
pubs.conference-nameCenter for Turbulence Research Proceedings of the Summer Program
cam.orpheus.counter58
rioxxterms.freetoread.startdate2022-01-16


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