Large-Eddy Simulations of Spray Variability Effects on Flow Variability in a Direct-Injection Spark-Ignition Engine Under Non-Combusting Operating Conditions

Show simple item record

dc.contributor.author Dam, Noah Van
dc.contributor.author Sjöberg, Magnus
dc.contributor.author Som, Sibendu
dc.date.accessioned 2018-05-19T15:50:55Z
dc.date.available 2018-05-19T15:50:55Z
dc.date.issued 2018-04-03
dc.identifier.citation Van Dam, N., Sjöberg, M., and Som, S., "Large-Eddy Simulations of Spray Variability Effects on Flow Variability in a Direct-Injection Spark-Ignition Engine Under Non-Combusting Operating Conditions," SAE Technical Paper 2018-01-0196, 2018, https://doi.org/10.4271/2018-01-0196 en_US
dc.identifier.uri http://hdl.handle.net/2027.42/143834
dc.description.abstract Large-eddy Simulations (LES) have been carried out to investigate spray variability and its effect on cycle-to-cycle flow variability in a direct-injection spark-ignition (DISI) engine under non-reacting conditions. Initial simulations were performed of an injector in a constant volume spray chamber to validate the simulation spray set-up. Comparisons showed good agreement in global spray measures such as the penetration. Local mixing data and shot-to-shot variability were also compared using Rayleigh-scattering images and probability contours. The simulations were found to reasonably match the local mixing data and shot-to-shot variability using a random-seed perturbation methodology. After validation, the same spray set-up with only minor changes was used to simulate the same injector in an optically accessible DISI engine. Particle Image Velocimetry (PIV) measurements were used to quantify the flow velocity in a horizontal plane intersecting the spark plug gap. The engine was operated in a skip-fired operating mode and comparisons focused on cycles that included fuel injection, but no spark event and therefore no combustion. 105 total LES engine cycles were simulated using a parallel cycle simulation approach and 3 different perturbation methods in an attempt to isolate the effects of shot-to-shot spray variability and the initial turbulent flow field as well as their interaction effects on overall engine CCVs. The experimental mean and standard deviations were reasonably well matched by the simulations, though quantitative comparisons near the injection event during the intake stroke were difficult due to the high uncertainty in the PIV measurements at these crank angles. The 3 simulation perturbation methods resulted in very similar results, though further analysis found the current parallel cycle approach may be limiting the ability of the simulations to isolate the spray and flow effects. en_US
dc.description.sponsorship This research was conducted as part of the Co-Optimization of Fuels & Engines (Co-Optima) project sponsored by the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies and Vehicle Technologies Offices. The submitted manuscript has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory (Argonne). Argonne, a U.S. Department of Energy Office of Science laboratory, is operated under Contract No. DEAC02- 06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up nonexclusive, irrevocable wsorldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, by or on behalf of the Government. The research at Argonne was funded by DOE’s Office of Vehicle Technologies, Office of Energy Efficiency and Renewable Energy under Contract No. DE-AC02-06CH11357. en_US
dc.language.iso en_US en_US
dc.publisher SAE Technical Paper 2018-01-0196 en_US
dc.title Large-Eddy Simulations of Spray Variability Effects on Flow Variability in a Direct-Injection Spark-Ignition Engine Under Non-Combusting Operating Conditions en_US
dc.type Article en_US
dc.subject.hlbsecondlevel Mechanical Engineering
dc.subject.hlbtoplevel Engineering
dc.description.peerreviewed Peer Reviewed en_US
dc.contributor.affiliationother Argonne National Laboratory en_US
dc.contributor.affiliationother Sandia National Laboratories en_US
dc.contributor.affiliationother Argonne National Laboratory en_US
dc.contributor.affiliationumcampus Ann Arbor
dc.description.bitstreamurl https://deepblue.lib.umich.edu/bitstream/2027.42/143834/1/2018-01-0196.pdf
dc.identifier.doi https://doi.org/10.4271/2018-01-0196
dc.owningcollname Mechanical Engineering, Department of
 Show simple item record

This item appears in the following Collection(s)


Search Deep Blue

Advanced Search

Browse by

My Account

Information

Available Now


MLibrary logo