Comparing Visualization of Inflammation at Transient Load Steps Comparing Ignition Systems

Toedter, Olaf; Heinz, Alexander; Disch, C.; Koch, Thomas; Seefeldt, Stefan

doi:10.1007/978-3-319-45504-4_11

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…For the CIS significantly denser black shapes are noted, which emphasise the superior stability of flame-front propagation for this system. The results showing the evolution of OH* area directly after ignition are in accordance with findings of Toedter et al [29], who reported similar differences in OH* signal intensity directly after ignition for conventional spark-plug and corona ignition. The authors additionally found a decrease in OH* signal directly after ignition for the SPI.…”

Section: Corona Ignition System With Ron-95 Gasolinesupporting

confidence: 92%

“…The thermodynamic effects of the above discussed differences, such as higher initially affected volume, multiple flame-kernels and reduced ignition delay have been investigated by several authors [24,25,26,27]. Except for a publication by Toedter et al [29] the authors are unaware of other investigations focusing on the evolution of OH* for different ignition systems.…”

Section: Corona Ignition System With Ron-95 Gasolinementioning

confidence: 99%

“…Large amounts of radicals, such as OH*, O, O 3 are formed by electron impact along the partial discharge's streamers [27,28] and thus initiate flame kernel development chemically, whereas a spark-plug obtains smaller radical counts by thermal initial radical formation. Hence increased levels of excited hydroxyl radical emission (OH*) have been measured [29] throughout ignition until onset of flame-front propagation, compared to conventional sparkplug ignition. OH*, besides O 3 and O radicals, are known oxidising agents of elemental carbon [30,31] which in turn represents the major constituent of particulate matter.…”

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confidence: 99%

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Investigations on Spark and Corona Ignition of Oxymethylene Ether-1 and Dimethyl Carbonate Blends with Gasoline by High-Speed Evaluation of OH* Chemiluminescence

Langhorst

Toedter

Koch

et al. 2018

SAE Int. J. Fuels Lubr.

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Bio-fuels of the 2nd generation constitute a key approach to tackle both Greenhouse Gas (GHG) and air quality challenges associated with combustion emissions of the transport sector. Since these fuels are obtained of residual materials of the agricultural industry, well-to-tank CO 2 emissions can be significantly lowered by a closed-cycle of formation and absorption of CO 2. Furthermore, studies of bio-fuels have shown reduced formation of particulate matter on account of the fuels' high oxygen content therefore addressing air quality issues. However, due to the high oxygen content and other physical parameters these fuels are expected to exhibit different ignition behaviour. Moreover, the question is whether there is a positive superimposition of the fuels ignition behaviour with the benefits of an alternative ignition system, such as a corona ignition. To shed light on these questions two oxygenic compounds, oxymethylene ether-1 (OME1) and dimethyl carbonate (DMC) have been studied with respect to OH* emission throughout ignition and onset of flame-front propagation in a combustion chamber with a large optical access via a quartz window. OH* measurements have been recorded via a high-speed optical camera (5 kHz) coupled with 308 nm optical filter and image intensifier. Sealing material swelling tests have yielded a perfluoroelastomer (FFKM 72) as an ideal, cost-efficient material regardless of the applied fuel. Comparative measurements with both ignition systems for combustion of gasoline as well as moderate blend admixtures of OME1 and DMC have demonstrated the superior ignition stability with likewise implications on flame-kernel development for the corona ignition. Furthermore a strong influence of the mode of discharge on OH* formation rates was observed especially for the oxygenic blends. Finally, for admixture variations of both oxygenates, an increased OH* level was shown during discharge thereby proving the hypothesis of a positive superimposition of oxygenic fuel and corona ignition system.

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Section: Corona Ignition System With Ron-95 Gasolinesupporting

confidence: 92%

Section: Corona Ignition System With Ron-95 Gasolinementioning

confidence: 99%

mentioning

confidence: 99%

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Investigations on Spark and Corona Ignition of Oxymethylene Ether-1 and Dimethyl Carbonate Blends with Gasoline by High-Speed Evaluation of OH* Chemiluminescence

Langhorst

Toedter

Koch

et al. 2018

SAE Int. J. Fuels Lubr.

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Verbrennungsmotorenforschung für Antriebe von morgen

Koch

2018

Sonderprojekte ATZ/MTZ

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Development of a Probabilistic Spark Plug Discharge Model Based on Electric Field Calculation

Kinoshita

Aoki

Pischinger

et al. 2019

IJAE

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Discharge of electric field generated by a spark plug is one of the most important and influential factors to determine combustion behavior of SI engines, as it initiates flame kernels by supplying energy to the air-fuel mixture. A discharge model is required to analyze this process with the help of numerical simulation. A new probabilistic discharge model has been developed, in which the probability of the breakdown is proportional to the intensity of the local electric field. A wide variety of discharges, such as air gap discharge, surface discharge and branching discharge like corona, can be calculated with the developed model. Consequently a detailed analysis of the process from discharge to combustion can be achieved.

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Comparing Visualization of Inflammation at Transient Load Steps Comparing Ignition Systems

Cited by 3 publications

References 6 publications

Investigations on Spark and Corona Ignition of Oxymethylene Ether-1 and Dimethyl Carbonate Blends with Gasoline by High-Speed Evaluation of OH* Chemiluminescence

Investigations on Spark and Corona Ignition of Oxymethylene Ether-1 and Dimethyl Carbonate Blends with Gasoline by High-Speed Evaluation of OH* Chemiluminescence

Verbrennungsmotorenforschung für Antriebe von morgen

Development of a Probabilistic Spark Plug Discharge Model Based on Electric Field Calculation

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