A Detailed PAH and Soot Model for Complex Fuels in CFD Applications
Abstract A model to predict soot evolution during the combustion of complex fuels is presented. On one hand, gas phase, %$\hbox {polycyclic aromatic hydrocarbon (PAH)}%$ and soot chemistry are kept large enough to cover all relevant processes in aero engines. On the other hand, the mechanisms are re...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Eigentler, Florian [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Flow, turbulence and combustion - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947, 109(2022), 1 vom: 17. Feb., Seite 225-251 |
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| Übergeordnetes Werk: |
volume:109 ; year:2022 ; number:1 ; day:17 ; month:02 ; pages:225-251 |
| Links: |
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| DOI / URN: |
10.1007/s10494-022-00319-9 |
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| Katalog-ID: |
SPR047080701 |
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| 100 | 1 | |a Eigentler, Florian |e verfasserin |0 (orcid)0000-0001-5540-0974 |4 aut | |
| 245 | 1 | 2 | |a A Detailed PAH and Soot Model for Complex Fuels in CFD Applications |
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| 520 | |a Abstract A model to predict soot evolution during the combustion of complex fuels is presented. On one hand, gas phase, %$\hbox {polycyclic aromatic hydrocarbon (PAH)}%$ and soot chemistry are kept large enough to cover all relevant processes in aero engines. On the other hand, the mechanisms are reduced as far as possible, to enable complex computational fluid dynamics (CFD) combustion simulations. This is important because all species transport equations are solved directly in the %$\hbox {CFD}%$. Moreover, emphasis is placed on the applicability of the model for a variety of fuels and operating conditions without adjusting it. A kinetic scheme is derived to describe the chemical breakdown of short- and long-chain hydrocarbon fuels and even blends of them. %$\hbox {PAHs}%$ are the primary soot precursors which are modeled by a sectional approach. The reversibility of the interaction between different %$\hbox {PAH}%$ classes is achieved by the introduction of %$\hbox {PAH}%$ radicals. Soot particles are captured by a detailed sectional approach too, which takes a non-spherical growth of particles into account. In this way the modeling of surface processes is improved. The applicability and validity of the gas phase, %$\hbox {PAH}%$, and soot model is demonstrated by a large number of shock tube experiments, as well as in atmospheric laminar sooting flames. The presented model achieves excellent results for a wide range of operating conditions and fuels. One set of model constants is used for all simulations and no case-dependent optimization is required. | ||
| 650 | 4 | |a Soot model |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Complex fuels |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Sectional approach |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Soot formation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Soot oxidation |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Gerlinger, Peter |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Flow, turbulence and combustion |d Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947 |g 109(2022), 1 vom: 17. Feb., Seite 225-251 |w (DE-627)302722408 |w (DE-600)1492282-4 |x 1573-1987 |7 nnns |
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10.1007/s10494-022-00319-9 doi (DE-627)SPR047080701 (SPR)s10494-022-00319-9-e DE-627 ger DE-627 rakwb eng Eigentler, Florian verfasserin (orcid)0000-0001-5540-0974 aut A Detailed PAH and Soot Model for Complex Fuels in CFD Applications 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract A model to predict soot evolution during the combustion of complex fuels is presented. On one hand, gas phase, %$\hbox {polycyclic aromatic hydrocarbon (PAH)}%$ and soot chemistry are kept large enough to cover all relevant processes in aero engines. On the other hand, the mechanisms are reduced as far as possible, to enable complex computational fluid dynamics (CFD) combustion simulations. This is important because all species transport equations are solved directly in the %$\hbox {CFD}%$. Moreover, emphasis is placed on the applicability of the model for a variety of fuels and operating conditions without adjusting it. A kinetic scheme is derived to describe the chemical breakdown of short- and long-chain hydrocarbon fuels and even blends of them. %$\hbox {PAHs}%$ are the primary soot precursors which are modeled by a sectional approach. The reversibility of the interaction between different %$\hbox {PAH}%$ classes is achieved by the introduction of %$\hbox {PAH}%$ radicals. Soot particles are captured by a detailed sectional approach too, which takes a non-spherical growth of particles into account. In this way the modeling of surface processes is improved. The applicability and validity of the gas phase, %$\hbox {PAH}%$, and soot model is demonstrated by a large number of shock tube experiments, as well as in atmospheric laminar sooting flames. The presented model achieves excellent results for a wide range of operating conditions and fuels. One set of model constants is used for all simulations and no case-dependent optimization is required. Soot model (dpeaa)DE-He213 Complex fuels (dpeaa)DE-He213 Sectional approach (dpeaa)DE-He213 Soot formation (dpeaa)DE-He213 Soot oxidation (dpeaa)DE-He213 Gerlinger, Peter aut Enthalten in Flow, turbulence and combustion Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947 109(2022), 1 vom: 17. Feb., Seite 225-251 (DE-627)302722408 (DE-600)1492282-4 1573-1987 nnns volume:109 year:2022 number:1 day:17 month:02 pages:225-251 https://dx.doi.org/10.1007/s10494-022-00319-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 109 2022 1 17 02 225-251 |
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10.1007/s10494-022-00319-9 doi (DE-627)SPR047080701 (SPR)s10494-022-00319-9-e DE-627 ger DE-627 rakwb eng Eigentler, Florian verfasserin (orcid)0000-0001-5540-0974 aut A Detailed PAH and Soot Model for Complex Fuels in CFD Applications 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract A model to predict soot evolution during the combustion of complex fuels is presented. On one hand, gas phase, %$\hbox {polycyclic aromatic hydrocarbon (PAH)}%$ and soot chemistry are kept large enough to cover all relevant processes in aero engines. On the other hand, the mechanisms are reduced as far as possible, to enable complex computational fluid dynamics (CFD) combustion simulations. This is important because all species transport equations are solved directly in the %$\hbox {CFD}%$. Moreover, emphasis is placed on the applicability of the model for a variety of fuels and operating conditions without adjusting it. A kinetic scheme is derived to describe the chemical breakdown of short- and long-chain hydrocarbon fuels and even blends of them. %$\hbox {PAHs}%$ are the primary soot precursors which are modeled by a sectional approach. The reversibility of the interaction between different %$\hbox {PAH}%$ classes is achieved by the introduction of %$\hbox {PAH}%$ radicals. Soot particles are captured by a detailed sectional approach too, which takes a non-spherical growth of particles into account. In this way the modeling of surface processes is improved. The applicability and validity of the gas phase, %$\hbox {PAH}%$, and soot model is demonstrated by a large number of shock tube experiments, as well as in atmospheric laminar sooting flames. The presented model achieves excellent results for a wide range of operating conditions and fuels. One set of model constants is used for all simulations and no case-dependent optimization is required. Soot model (dpeaa)DE-He213 Complex fuels (dpeaa)DE-He213 Sectional approach (dpeaa)DE-He213 Soot formation (dpeaa)DE-He213 Soot oxidation (dpeaa)DE-He213 Gerlinger, Peter aut Enthalten in Flow, turbulence and combustion Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947 109(2022), 1 vom: 17. Feb., Seite 225-251 (DE-627)302722408 (DE-600)1492282-4 1573-1987 nnns volume:109 year:2022 number:1 day:17 month:02 pages:225-251 https://dx.doi.org/10.1007/s10494-022-00319-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 109 2022 1 17 02 225-251 |
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10.1007/s10494-022-00319-9 doi (DE-627)SPR047080701 (SPR)s10494-022-00319-9-e DE-627 ger DE-627 rakwb eng Eigentler, Florian verfasserin (orcid)0000-0001-5540-0974 aut A Detailed PAH and Soot Model for Complex Fuels in CFD Applications 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract A model to predict soot evolution during the combustion of complex fuels is presented. On one hand, gas phase, %$\hbox {polycyclic aromatic hydrocarbon (PAH)}%$ and soot chemistry are kept large enough to cover all relevant processes in aero engines. On the other hand, the mechanisms are reduced as far as possible, to enable complex computational fluid dynamics (CFD) combustion simulations. This is important because all species transport equations are solved directly in the %$\hbox {CFD}%$. Moreover, emphasis is placed on the applicability of the model for a variety of fuels and operating conditions without adjusting it. A kinetic scheme is derived to describe the chemical breakdown of short- and long-chain hydrocarbon fuels and even blends of them. %$\hbox {PAHs}%$ are the primary soot precursors which are modeled by a sectional approach. The reversibility of the interaction between different %$\hbox {PAH}%$ classes is achieved by the introduction of %$\hbox {PAH}%$ radicals. Soot particles are captured by a detailed sectional approach too, which takes a non-spherical growth of particles into account. In this way the modeling of surface processes is improved. The applicability and validity of the gas phase, %$\hbox {PAH}%$, and soot model is demonstrated by a large number of shock tube experiments, as well as in atmospheric laminar sooting flames. The presented model achieves excellent results for a wide range of operating conditions and fuels. One set of model constants is used for all simulations and no case-dependent optimization is required. Soot model (dpeaa)DE-He213 Complex fuels (dpeaa)DE-He213 Sectional approach (dpeaa)DE-He213 Soot formation (dpeaa)DE-He213 Soot oxidation (dpeaa)DE-He213 Gerlinger, Peter aut Enthalten in Flow, turbulence and combustion Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947 109(2022), 1 vom: 17. Feb., Seite 225-251 (DE-627)302722408 (DE-600)1492282-4 1573-1987 nnns volume:109 year:2022 number:1 day:17 month:02 pages:225-251 https://dx.doi.org/10.1007/s10494-022-00319-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 109 2022 1 17 02 225-251 |
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10.1007/s10494-022-00319-9 doi (DE-627)SPR047080701 (SPR)s10494-022-00319-9-e DE-627 ger DE-627 rakwb eng Eigentler, Florian verfasserin (orcid)0000-0001-5540-0974 aut A Detailed PAH and Soot Model for Complex Fuels in CFD Applications 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract A model to predict soot evolution during the combustion of complex fuels is presented. On one hand, gas phase, %$\hbox {polycyclic aromatic hydrocarbon (PAH)}%$ and soot chemistry are kept large enough to cover all relevant processes in aero engines. On the other hand, the mechanisms are reduced as far as possible, to enable complex computational fluid dynamics (CFD) combustion simulations. This is important because all species transport equations are solved directly in the %$\hbox {CFD}%$. Moreover, emphasis is placed on the applicability of the model for a variety of fuels and operating conditions without adjusting it. A kinetic scheme is derived to describe the chemical breakdown of short- and long-chain hydrocarbon fuels and even blends of them. %$\hbox {PAHs}%$ are the primary soot precursors which are modeled by a sectional approach. The reversibility of the interaction between different %$\hbox {PAH}%$ classes is achieved by the introduction of %$\hbox {PAH}%$ radicals. Soot particles are captured by a detailed sectional approach too, which takes a non-spherical growth of particles into account. In this way the modeling of surface processes is improved. The applicability and validity of the gas phase, %$\hbox {PAH}%$, and soot model is demonstrated by a large number of shock tube experiments, as well as in atmospheric laminar sooting flames. The presented model achieves excellent results for a wide range of operating conditions and fuels. One set of model constants is used for all simulations and no case-dependent optimization is required. Soot model (dpeaa)DE-He213 Complex fuels (dpeaa)DE-He213 Sectional approach (dpeaa)DE-He213 Soot formation (dpeaa)DE-He213 Soot oxidation (dpeaa)DE-He213 Gerlinger, Peter aut Enthalten in Flow, turbulence and combustion Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947 109(2022), 1 vom: 17. Feb., Seite 225-251 (DE-627)302722408 (DE-600)1492282-4 1573-1987 nnns volume:109 year:2022 number:1 day:17 month:02 pages:225-251 https://dx.doi.org/10.1007/s10494-022-00319-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 109 2022 1 17 02 225-251 |
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10.1007/s10494-022-00319-9 doi (DE-627)SPR047080701 (SPR)s10494-022-00319-9-e DE-627 ger DE-627 rakwb eng Eigentler, Florian verfasserin (orcid)0000-0001-5540-0974 aut A Detailed PAH and Soot Model for Complex Fuels in CFD Applications 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract A model to predict soot evolution during the combustion of complex fuels is presented. On one hand, gas phase, %$\hbox {polycyclic aromatic hydrocarbon (PAH)}%$ and soot chemistry are kept large enough to cover all relevant processes in aero engines. On the other hand, the mechanisms are reduced as far as possible, to enable complex computational fluid dynamics (CFD) combustion simulations. This is important because all species transport equations are solved directly in the %$\hbox {CFD}%$. Moreover, emphasis is placed on the applicability of the model for a variety of fuels and operating conditions without adjusting it. A kinetic scheme is derived to describe the chemical breakdown of short- and long-chain hydrocarbon fuels and even blends of them. %$\hbox {PAHs}%$ are the primary soot precursors which are modeled by a sectional approach. The reversibility of the interaction between different %$\hbox {PAH}%$ classes is achieved by the introduction of %$\hbox {PAH}%$ radicals. Soot particles are captured by a detailed sectional approach too, which takes a non-spherical growth of particles into account. In this way the modeling of surface processes is improved. The applicability and validity of the gas phase, %$\hbox {PAH}%$, and soot model is demonstrated by a large number of shock tube experiments, as well as in atmospheric laminar sooting flames. The presented model achieves excellent results for a wide range of operating conditions and fuels. One set of model constants is used for all simulations and no case-dependent optimization is required. Soot model (dpeaa)DE-He213 Complex fuels (dpeaa)DE-He213 Sectional approach (dpeaa)DE-He213 Soot formation (dpeaa)DE-He213 Soot oxidation (dpeaa)DE-He213 Gerlinger, Peter aut Enthalten in Flow, turbulence and combustion Dordrecht [u.a.] : Springer Science + Business Media B.V., 1947 109(2022), 1 vom: 17. Feb., Seite 225-251 (DE-627)302722408 (DE-600)1492282-4 1573-1987 nnns volume:109 year:2022 number:1 day:17 month:02 pages:225-251 https://dx.doi.org/10.1007/s10494-022-00319-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 109 2022 1 17 02 225-251 |
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Enthalten in Flow, turbulence and combustion 109(2022), 1 vom: 17. Feb., Seite 225-251 volume:109 year:2022 number:1 day:17 month:02 pages:225-251 |
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Enthalten in Flow, turbulence and combustion 109(2022), 1 vom: 17. Feb., Seite 225-251 volume:109 year:2022 number:1 day:17 month:02 pages:225-251 |
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Soot model Complex fuels Sectional approach Soot formation Soot oxidation |
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Flow, turbulence and combustion |
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Eigentler, Florian @@aut@@ Gerlinger, Peter @@aut@@ |
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On one hand, gas phase, %$\hbox {polycyclic aromatic hydrocarbon (PAH)}%$ and soot chemistry are kept large enough to cover all relevant processes in aero engines. On the other hand, the mechanisms are reduced as far as possible, to enable complex computational fluid dynamics (CFD) combustion simulations. This is important because all species transport equations are solved directly in the %$\hbox {CFD}%$. Moreover, emphasis is placed on the applicability of the model for a variety of fuels and operating conditions without adjusting it. A kinetic scheme is derived to describe the chemical breakdown of short- and long-chain hydrocarbon fuels and even blends of them. %$\hbox {PAHs}%$ are the primary soot precursors which are modeled by a sectional approach. The reversibility of the interaction between different %$\hbox {PAH}%$ classes is achieved by the introduction of %$\hbox {PAH}%$ radicals. Soot particles are captured by a detailed sectional approach too, which takes a non-spherical growth of particles into account. In this way the modeling of surface processes is improved. The applicability and validity of the gas phase, %$\hbox {PAH}%$, and soot model is demonstrated by a large number of shock tube experiments, as well as in atmospheric laminar sooting flames. The presented model achieves excellent results for a wide range of operating conditions and fuels. 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| author |
Eigentler, Florian |
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Eigentler, Florian misc Soot model misc Complex fuels misc Sectional approach misc Soot formation misc Soot oxidation A Detailed PAH and Soot Model for Complex Fuels in CFD Applications |
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A Detailed PAH and Soot Model for Complex Fuels in CFD Applications Soot model (dpeaa)DE-He213 Complex fuels (dpeaa)DE-He213 Sectional approach (dpeaa)DE-He213 Soot formation (dpeaa)DE-He213 Soot oxidation (dpeaa)DE-He213 |
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A Detailed PAH and Soot Model for Complex Fuels in CFD Applications |
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Eigentler, Florian |
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Eigentler, Florian Gerlinger, Peter |
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Eigentler, Florian |
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detailed pah and soot model for complex fuels in cfd applications |
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A Detailed PAH and Soot Model for Complex Fuels in CFD Applications |
| abstract |
Abstract A model to predict soot evolution during the combustion of complex fuels is presented. On one hand, gas phase, %$\hbox {polycyclic aromatic hydrocarbon (PAH)}%$ and soot chemistry are kept large enough to cover all relevant processes in aero engines. On the other hand, the mechanisms are reduced as far as possible, to enable complex computational fluid dynamics (CFD) combustion simulations. This is important because all species transport equations are solved directly in the %$\hbox {CFD}%$. Moreover, emphasis is placed on the applicability of the model for a variety of fuels and operating conditions without adjusting it. A kinetic scheme is derived to describe the chemical breakdown of short- and long-chain hydrocarbon fuels and even blends of them. %$\hbox {PAHs}%$ are the primary soot precursors which are modeled by a sectional approach. The reversibility of the interaction between different %$\hbox {PAH}%$ classes is achieved by the introduction of %$\hbox {PAH}%$ radicals. Soot particles are captured by a detailed sectional approach too, which takes a non-spherical growth of particles into account. In this way the modeling of surface processes is improved. The applicability and validity of the gas phase, %$\hbox {PAH}%$, and soot model is demonstrated by a large number of shock tube experiments, as well as in atmospheric laminar sooting flames. The presented model achieves excellent results for a wide range of operating conditions and fuels. One set of model constants is used for all simulations and no case-dependent optimization is required. © The Author(s) 2022 |
| abstractGer |
Abstract A model to predict soot evolution during the combustion of complex fuels is presented. On one hand, gas phase, %$\hbox {polycyclic aromatic hydrocarbon (PAH)}%$ and soot chemistry are kept large enough to cover all relevant processes in aero engines. On the other hand, the mechanisms are reduced as far as possible, to enable complex computational fluid dynamics (CFD) combustion simulations. This is important because all species transport equations are solved directly in the %$\hbox {CFD}%$. Moreover, emphasis is placed on the applicability of the model for a variety of fuels and operating conditions without adjusting it. A kinetic scheme is derived to describe the chemical breakdown of short- and long-chain hydrocarbon fuels and even blends of them. %$\hbox {PAHs}%$ are the primary soot precursors which are modeled by a sectional approach. The reversibility of the interaction between different %$\hbox {PAH}%$ classes is achieved by the introduction of %$\hbox {PAH}%$ radicals. Soot particles are captured by a detailed sectional approach too, which takes a non-spherical growth of particles into account. In this way the modeling of surface processes is improved. The applicability and validity of the gas phase, %$\hbox {PAH}%$, and soot model is demonstrated by a large number of shock tube experiments, as well as in atmospheric laminar sooting flames. The presented model achieves excellent results for a wide range of operating conditions and fuels. One set of model constants is used for all simulations and no case-dependent optimization is required. © The Author(s) 2022 |
| abstract_unstemmed |
Abstract A model to predict soot evolution during the combustion of complex fuels is presented. On one hand, gas phase, %$\hbox {polycyclic aromatic hydrocarbon (PAH)}%$ and soot chemistry are kept large enough to cover all relevant processes in aero engines. On the other hand, the mechanisms are reduced as far as possible, to enable complex computational fluid dynamics (CFD) combustion simulations. This is important because all species transport equations are solved directly in the %$\hbox {CFD}%$. Moreover, emphasis is placed on the applicability of the model for a variety of fuels and operating conditions without adjusting it. A kinetic scheme is derived to describe the chemical breakdown of short- and long-chain hydrocarbon fuels and even blends of them. %$\hbox {PAHs}%$ are the primary soot precursors which are modeled by a sectional approach. The reversibility of the interaction between different %$\hbox {PAH}%$ classes is achieved by the introduction of %$\hbox {PAH}%$ radicals. Soot particles are captured by a detailed sectional approach too, which takes a non-spherical growth of particles into account. In this way the modeling of surface processes is improved. The applicability and validity of the gas phase, %$\hbox {PAH}%$, and soot model is demonstrated by a large number of shock tube experiments, as well as in atmospheric laminar sooting flames. The presented model achieves excellent results for a wide range of operating conditions and fuels. One set of model constants is used for all simulations and no case-dependent optimization is required. © The Author(s) 2022 |
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| title_short |
A Detailed PAH and Soot Model for Complex Fuels in CFD Applications |
| url |
https://dx.doi.org/10.1007/s10494-022-00319-9 |
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| author2 |
Gerlinger, Peter |
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Gerlinger, Peter |
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| doi_str |
10.1007/s10494-022-00319-9 |
| up_date |
2024-07-04T01:46:32.760Z |
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|
| score |
7.401457 |