The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames

The soot formation processes in three different turbulent prevaporized non-premixed toluene jet flames stabilized on a jet-in-hot-coflow (JHC) burner were investigated in this study. The jet Reynolds number and the stoichiometric mixture fraction were varied in order to manipulate the flow time scal...
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Autor*in:	Kruse, Stephan [verfasserIn] Medwell, Paul [verfasserIn] Davidovic, Marco [verfasserIn] Sun, Zhiwei [verfasserIn] Ye, Jingjing [verfasserIn] Pitsch, Heinz [verfasserIn] Dally, Bassam B. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Soot in turbulent flames Soot formation of toluene Soot diagnostics Temperature and soot

Übergeordnetes Werk:	Enthalten in: Proceedings of the Combustion Institute - Combustion Institute ; ID: gnd/1004025-0, Amsterdam [u.a.] : Elsevier, 2000, 38, Seite 1395-1402
Übergeordnetes Werk:	volume:38 ; pages:1395-1402

DOI / URN:	10.1016/j.proci.2020.06.140

Katalog-ID:	ELV00582124X

Internformat


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245	1	0	\|a The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames
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520			\|a The soot formation processes in three different turbulent prevaporized non-premixed toluene jet flames stabilized on a jet-in-hot-coflow (JHC) burner were investigated in this study. The jet Reynolds number and the stoichiometric mixture fraction were varied in order to manipulate the flow time scales and the chemistry, respectively. Time-resolved laser-induced incandescence (TiRe-LII), non-linear two-line atomic fluorescence of indium (nTLAF), and OH planar laser induced fluorescence (PLIF) were simultaneously applied to yield spatially resolved and instantaneous fields of soot volume fraction, primary particle size, temperature, and OH. The mean distributions of the detected quantities are used to identify major differences among the flames. The highest soot loading is observed for the low Reynolds number and low stoichiometric mixture fraction flame. However, this flame features also the lowest temperature and primary particle size. Based on these observations, the simultaneously detected data sets and flamelet computations are employed to elucidate differences in the soot formation pathways in the flames. The analyses reveal that the high soot loading causes greater heat losses in the low Reynolds number and low stoichiometric mixture fraction flame. This has a significant impact on the soot formation pathways and causes a reduction in the particle size.
650		4	\|a Soot in turbulent flames
650		4	\|a Soot formation of toluene
650		4	\|a Soot diagnostics
650		4	\|a Temperature and soot
700	1		\|a Medwell, Paul \|e verfasserin \|0 (orcid)0000-0002-2216-3033 \|4 aut
700	1		\|a Davidovic, Marco \|e verfasserin \|0 (orcid)0000-0002-6213-080X \|4 aut
700	1		\|a Sun, Zhiwei \|e verfasserin \|0 (orcid)0000-0001-7899-9676 \|4 aut
700	1		\|a Ye, Jingjing \|e verfasserin \|4 aut
700	1		\|a Pitsch, Heinz \|e verfasserin \|0 (orcid)0000-0001-5656-0961 \|4 aut
700	1		\|a Dally, Bassam B. \|e verfasserin \|4 aut
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912			\|a GBV_ILN_2015
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912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2027
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912			\|a GBV_ILN_2522
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
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912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
951			\|a AR
952			\|d 38 \|h 1395-1402

Indexfelder

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publishDate	2020
allfields	10.1016/j.proci.2020.06.140 doi (DE-627)ELV00582124X (ELSEVIER)S1540-7489(20)30220-0 DE-627 ger DE-627 rda eng 660 DE-600 Kruse, Stephan verfasserin aut The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The soot formation processes in three different turbulent prevaporized non-premixed toluene jet flames stabilized on a jet-in-hot-coflow (JHC) burner were investigated in this study. The jet Reynolds number and the stoichiometric mixture fraction were varied in order to manipulate the flow time scales and the chemistry, respectively. Time-resolved laser-induced incandescence (TiRe-LII), non-linear two-line atomic fluorescence of indium (nTLAF), and OH planar laser induced fluorescence (PLIF) were simultaneously applied to yield spatially resolved and instantaneous fields of soot volume fraction, primary particle size, temperature, and OH. The mean distributions of the detected quantities are used to identify major differences among the flames. The highest soot loading is observed for the low Reynolds number and low stoichiometric mixture fraction flame. However, this flame features also the lowest temperature and primary particle size. Based on these observations, the simultaneously detected data sets and flamelet computations are employed to elucidate differences in the soot formation pathways in the flames. The analyses reveal that the high soot loading causes greater heat losses in the low Reynolds number and low stoichiometric mixture fraction flame. This has a significant impact on the soot formation pathways and causes a reduction in the particle size. Soot in turbulent flames Soot formation of toluene Soot diagnostics Temperature and soot Medwell, Paul verfasserin (orcid)0000-0002-2216-3033 aut Davidovic, Marco verfasserin (orcid)0000-0002-6213-080X aut Sun, Zhiwei verfasserin (orcid)0000-0001-7899-9676 aut Ye, Jingjing verfasserin aut Pitsch, Heinz verfasserin (orcid)0000-0001-5656-0961 aut Dally, Bassam B. verfasserin aut Enthalten in Combustion Institute ; ID: gnd/1004025-0 Proceedings of the Combustion Institute Amsterdam [u.a.] : Elsevier, 2000 38, Seite 1395-1402 Online-Ressource (DE-627)495741140 (DE-600)2197968-6 (DE-576)259486582 1873-2704 nnns volume:38 pages:1395-1402 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 38 1395-1402
spelling	10.1016/j.proci.2020.06.140 doi (DE-627)ELV00582124X (ELSEVIER)S1540-7489(20)30220-0 DE-627 ger DE-627 rda eng 660 DE-600 Kruse, Stephan verfasserin aut The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The soot formation processes in three different turbulent prevaporized non-premixed toluene jet flames stabilized on a jet-in-hot-coflow (JHC) burner were investigated in this study. The jet Reynolds number and the stoichiometric mixture fraction were varied in order to manipulate the flow time scales and the chemistry, respectively. Time-resolved laser-induced incandescence (TiRe-LII), non-linear two-line atomic fluorescence of indium (nTLAF), and OH planar laser induced fluorescence (PLIF) were simultaneously applied to yield spatially resolved and instantaneous fields of soot volume fraction, primary particle size, temperature, and OH. The mean distributions of the detected quantities are used to identify major differences among the flames. The highest soot loading is observed for the low Reynolds number and low stoichiometric mixture fraction flame. However, this flame features also the lowest temperature and primary particle size. Based on these observations, the simultaneously detected data sets and flamelet computations are employed to elucidate differences in the soot formation pathways in the flames. The analyses reveal that the high soot loading causes greater heat losses in the low Reynolds number and low stoichiometric mixture fraction flame. This has a significant impact on the soot formation pathways and causes a reduction in the particle size. Soot in turbulent flames Soot formation of toluene Soot diagnostics Temperature and soot Medwell, Paul verfasserin (orcid)0000-0002-2216-3033 aut Davidovic, Marco verfasserin (orcid)0000-0002-6213-080X aut Sun, Zhiwei verfasserin (orcid)0000-0001-7899-9676 aut Ye, Jingjing verfasserin aut Pitsch, Heinz verfasserin (orcid)0000-0001-5656-0961 aut Dally, Bassam B. verfasserin aut Enthalten in Combustion Institute ; ID: gnd/1004025-0 Proceedings of the Combustion Institute Amsterdam [u.a.] : Elsevier, 2000 38, Seite 1395-1402 Online-Ressource (DE-627)495741140 (DE-600)2197968-6 (DE-576)259486582 1873-2704 nnns volume:38 pages:1395-1402 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 38 1395-1402
allfields_unstemmed	10.1016/j.proci.2020.06.140 doi (DE-627)ELV00582124X (ELSEVIER)S1540-7489(20)30220-0 DE-627 ger DE-627 rda eng 660 DE-600 Kruse, Stephan verfasserin aut The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The soot formation processes in three different turbulent prevaporized non-premixed toluene jet flames stabilized on a jet-in-hot-coflow (JHC) burner were investigated in this study. The jet Reynolds number and the stoichiometric mixture fraction were varied in order to manipulate the flow time scales and the chemistry, respectively. Time-resolved laser-induced incandescence (TiRe-LII), non-linear two-line atomic fluorescence of indium (nTLAF), and OH planar laser induced fluorescence (PLIF) were simultaneously applied to yield spatially resolved and instantaneous fields of soot volume fraction, primary particle size, temperature, and OH. The mean distributions of the detected quantities are used to identify major differences among the flames. The highest soot loading is observed for the low Reynolds number and low stoichiometric mixture fraction flame. However, this flame features also the lowest temperature and primary particle size. Based on these observations, the simultaneously detected data sets and flamelet computations are employed to elucidate differences in the soot formation pathways in the flames. The analyses reveal that the high soot loading causes greater heat losses in the low Reynolds number and low stoichiometric mixture fraction flame. This has a significant impact on the soot formation pathways and causes a reduction in the particle size. Soot in turbulent flames Soot formation of toluene Soot diagnostics Temperature and soot Medwell, Paul verfasserin (orcid)0000-0002-2216-3033 aut Davidovic, Marco verfasserin (orcid)0000-0002-6213-080X aut Sun, Zhiwei verfasserin (orcid)0000-0001-7899-9676 aut Ye, Jingjing verfasserin aut Pitsch, Heinz verfasserin (orcid)0000-0001-5656-0961 aut Dally, Bassam B. verfasserin aut Enthalten in Combustion Institute ; ID: gnd/1004025-0 Proceedings of the Combustion Institute Amsterdam [u.a.] : Elsevier, 2000 38, Seite 1395-1402 Online-Ressource (DE-627)495741140 (DE-600)2197968-6 (DE-576)259486582 1873-2704 nnns volume:38 pages:1395-1402 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 38 1395-1402
allfieldsGer	10.1016/j.proci.2020.06.140 doi (DE-627)ELV00582124X (ELSEVIER)S1540-7489(20)30220-0 DE-627 ger DE-627 rda eng 660 DE-600 Kruse, Stephan verfasserin aut The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The soot formation processes in three different turbulent prevaporized non-premixed toluene jet flames stabilized on a jet-in-hot-coflow (JHC) burner were investigated in this study. The jet Reynolds number and the stoichiometric mixture fraction were varied in order to manipulate the flow time scales and the chemistry, respectively. Time-resolved laser-induced incandescence (TiRe-LII), non-linear two-line atomic fluorescence of indium (nTLAF), and OH planar laser induced fluorescence (PLIF) were simultaneously applied to yield spatially resolved and instantaneous fields of soot volume fraction, primary particle size, temperature, and OH. The mean distributions of the detected quantities are used to identify major differences among the flames. The highest soot loading is observed for the low Reynolds number and low stoichiometric mixture fraction flame. However, this flame features also the lowest temperature and primary particle size. Based on these observations, the simultaneously detected data sets and flamelet computations are employed to elucidate differences in the soot formation pathways in the flames. The analyses reveal that the high soot loading causes greater heat losses in the low Reynolds number and low stoichiometric mixture fraction flame. This has a significant impact on the soot formation pathways and causes a reduction in the particle size. Soot in turbulent flames Soot formation of toluene Soot diagnostics Temperature and soot Medwell, Paul verfasserin (orcid)0000-0002-2216-3033 aut Davidovic, Marco verfasserin (orcid)0000-0002-6213-080X aut Sun, Zhiwei verfasserin (orcid)0000-0001-7899-9676 aut Ye, Jingjing verfasserin aut Pitsch, Heinz verfasserin (orcid)0000-0001-5656-0961 aut Dally, Bassam B. verfasserin aut Enthalten in Combustion Institute ; ID: gnd/1004025-0 Proceedings of the Combustion Institute Amsterdam [u.a.] : Elsevier, 2000 38, Seite 1395-1402 Online-Ressource (DE-627)495741140 (DE-600)2197968-6 (DE-576)259486582 1873-2704 nnns volume:38 pages:1395-1402 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 38 1395-1402
allfieldsSound	10.1016/j.proci.2020.06.140 doi (DE-627)ELV00582124X (ELSEVIER)S1540-7489(20)30220-0 DE-627 ger DE-627 rda eng 660 DE-600 Kruse, Stephan verfasserin aut The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The soot formation processes in three different turbulent prevaporized non-premixed toluene jet flames stabilized on a jet-in-hot-coflow (JHC) burner were investigated in this study. The jet Reynolds number and the stoichiometric mixture fraction were varied in order to manipulate the flow time scales and the chemistry, respectively. Time-resolved laser-induced incandescence (TiRe-LII), non-linear two-line atomic fluorescence of indium (nTLAF), and OH planar laser induced fluorescence (PLIF) were simultaneously applied to yield spatially resolved and instantaneous fields of soot volume fraction, primary particle size, temperature, and OH. The mean distributions of the detected quantities are used to identify major differences among the flames. The highest soot loading is observed for the low Reynolds number and low stoichiometric mixture fraction flame. However, this flame features also the lowest temperature and primary particle size. Based on these observations, the simultaneously detected data sets and flamelet computations are employed to elucidate differences in the soot formation pathways in the flames. The analyses reveal that the high soot loading causes greater heat losses in the low Reynolds number and low stoichiometric mixture fraction flame. This has a significant impact on the soot formation pathways and causes a reduction in the particle size. Soot in turbulent flames Soot formation of toluene Soot diagnostics Temperature and soot Medwell, Paul verfasserin (orcid)0000-0002-2216-3033 aut Davidovic, Marco verfasserin (orcid)0000-0002-6213-080X aut Sun, Zhiwei verfasserin (orcid)0000-0001-7899-9676 aut Ye, Jingjing verfasserin aut Pitsch, Heinz verfasserin (orcid)0000-0001-5656-0961 aut Dally, Bassam B. verfasserin aut Enthalten in Combustion Institute ; ID: gnd/1004025-0 Proceedings of the Combustion Institute Amsterdam [u.a.] : Elsevier, 2000 38, Seite 1395-1402 Online-Ressource (DE-627)495741140 (DE-600)2197968-6 (DE-576)259486582 1873-2704 nnns volume:38 pages:1395-1402 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 38 1395-1402
language	English
source	Enthalten in Proceedings of the Combustion Institute 38, Seite 1395-1402 volume:38 pages:1395-1402
sourceStr	Enthalten in Proceedings of the Combustion Institute 38, Seite 1395-1402 volume:38 pages:1395-1402
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Soot in turbulent flames Soot formation of toluene Soot diagnostics Temperature and soot
dewey-raw	660
isfreeaccess_bool	false
container_title	Proceedings of the Combustion Institute
authorswithroles_txt_mv	Kruse, Stephan @@aut@@ Medwell, Paul @@aut@@ Davidovic, Marco @@aut@@ Sun, Zhiwei @@aut@@ Ye, Jingjing @@aut@@ Pitsch, Heinz @@aut@@ Dally, Bassam B. @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	495741140
dewey-sort	3660
id	ELV00582124X
language_de	englisch
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author	Kruse, Stephan
spellingShingle	Kruse, Stephan ddc 660 misc Soot in turbulent flames misc Soot formation of toluene misc Soot diagnostics misc Temperature and soot The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames
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topic_title	660 DE-600 The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames Soot in turbulent flames Soot formation of toluene Soot diagnostics Temperature and soot
topic	ddc 660 misc Soot in turbulent flames misc Soot formation of toluene misc Soot diagnostics misc Temperature and soot
topic_unstemmed	ddc 660 misc Soot in turbulent flames misc Soot formation of toluene misc Soot diagnostics misc Temperature and soot
topic_browse	ddc 660 misc Soot in turbulent flames misc Soot formation of toluene misc Soot diagnostics misc Temperature and soot
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title	The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames
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title_full	The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames
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author_browse	Kruse, Stephan Medwell, Paul Davidovic, Marco Sun, Zhiwei Ye, Jingjing Pitsch, Heinz Dally, Bassam B.
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title_sort	the effect of fuel composition and reynolds number on soot formation processes in turbulent non-premixed toluene jet flames
title_auth	The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames
abstract	The soot formation processes in three different turbulent prevaporized non-premixed toluene jet flames stabilized on a jet-in-hot-coflow (JHC) burner were investigated in this study. The jet Reynolds number and the stoichiometric mixture fraction were varied in order to manipulate the flow time scales and the chemistry, respectively. Time-resolved laser-induced incandescence (TiRe-LII), non-linear two-line atomic fluorescence of indium (nTLAF), and OH planar laser induced fluorescence (PLIF) were simultaneously applied to yield spatially resolved and instantaneous fields of soot volume fraction, primary particle size, temperature, and OH. The mean distributions of the detected quantities are used to identify major differences among the flames. The highest soot loading is observed for the low Reynolds number and low stoichiometric mixture fraction flame. However, this flame features also the lowest temperature and primary particle size. Based on these observations, the simultaneously detected data sets and flamelet computations are employed to elucidate differences in the soot formation pathways in the flames. The analyses reveal that the high soot loading causes greater heat losses in the low Reynolds number and low stoichiometric mixture fraction flame. This has a significant impact on the soot formation pathways and causes a reduction in the particle size.
abstractGer	The soot formation processes in three different turbulent prevaporized non-premixed toluene jet flames stabilized on a jet-in-hot-coflow (JHC) burner were investigated in this study. The jet Reynolds number and the stoichiometric mixture fraction were varied in order to manipulate the flow time scales and the chemistry, respectively. Time-resolved laser-induced incandescence (TiRe-LII), non-linear two-line atomic fluorescence of indium (nTLAF), and OH planar laser induced fluorescence (PLIF) were simultaneously applied to yield spatially resolved and instantaneous fields of soot volume fraction, primary particle size, temperature, and OH. The mean distributions of the detected quantities are used to identify major differences among the flames. The highest soot loading is observed for the low Reynolds number and low stoichiometric mixture fraction flame. However, this flame features also the lowest temperature and primary particle size. Based on these observations, the simultaneously detected data sets and flamelet computations are employed to elucidate differences in the soot formation pathways in the flames. The analyses reveal that the high soot loading causes greater heat losses in the low Reynolds number and low stoichiometric mixture fraction flame. This has a significant impact on the soot formation pathways and causes a reduction in the particle size.
abstract_unstemmed	The soot formation processes in three different turbulent prevaporized non-premixed toluene jet flames stabilized on a jet-in-hot-coflow (JHC) burner were investigated in this study. The jet Reynolds number and the stoichiometric mixture fraction were varied in order to manipulate the flow time scales and the chemistry, respectively. Time-resolved laser-induced incandescence (TiRe-LII), non-linear two-line atomic fluorescence of indium (nTLAF), and OH planar laser induced fluorescence (PLIF) were simultaneously applied to yield spatially resolved and instantaneous fields of soot volume fraction, primary particle size, temperature, and OH. The mean distributions of the detected quantities are used to identify major differences among the flames. The highest soot loading is observed for the low Reynolds number and low stoichiometric mixture fraction flame. However, this flame features also the lowest temperature and primary particle size. Based on these observations, the simultaneously detected data sets and flamelet computations are employed to elucidate differences in the soot formation pathways in the flames. The analyses reveal that the high soot loading causes greater heat losses in the low Reynolds number and low stoichiometric mixture fraction flame. This has a significant impact on the soot formation pathways and causes a reduction in the particle size.
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title_short	The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames
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author2	Medwell, Paul Davidovic, Marco Sun, Zhiwei Ye, Jingjing Pitsch, Heinz Dally, Bassam B.
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doi_str	10.1016/j.proci.2020.06.140
up_date	2024-07-06T19:16:43.838Z
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The effect of fuel composition and Reynolds number on soot formation processes in turbulent non-premixed toluene jet flames

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