A Hybrid Newton/Time Integration Approach Coupled to Soot Moment Methods for Modeling Soot Formation and Growth in Perfectly-Stirred Reactors
A perfectly-stirred reactor (PSR) model based on the hybrid Newton/time integration methodology (Grcar et al., 1988) is developed and coupled to two state-of-the-art soot moment techniques, namely the method of moments with interpolative closure (MOMIC) and the hybrid method of moments (HMOM), with...
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| Autor*in: |
Adhikari, Sudip [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Rechteinformationen: |
Nutzungsrecht: © 2016 Taylor & Francis 2016 |
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| Schlagwörter: |
Perfectly-stirred reactor model Hybrid method of moments (HMOM) |
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| Übergeordnetes Werk: |
Enthalten in: Combustion science and technology - Philadelphia, PA : Taylor & Francis, 1969, 188(2016), 8, Seite 1262-1282 |
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| Übergeordnetes Werk: |
volume:188 ; year:2016 ; number:8 ; pages:1262-1282 |
| Links: |
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| DOI / URN: |
10.1080/00102202.2016.1177035 |
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OLC1980163294 |
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| 520 | |a A perfectly-stirred reactor (PSR) model based on the hybrid Newton/time integration methodology (Grcar et al., 1988) is developed and coupled to two state-of-the-art soot moment techniques, namely the method of moments with interpolative closure (MOMIC) and the hybrid method of moments (HMOM), with the latter coupling being implemented for the first time for investigating soot formation and growth. Five different PSR calculations based on initial data from previous simulations and experiments are carried out in the present study at various equivalence ratios, temperatures, and residence times, in order to test this coupling. These calculations consist of combustion of mixtures of ethylene, ethylene-benzene blends, methane, and acetylene, with air. The PSR algorithm employs a procedure of switching between steady-state and pseudo-transient calculations of the nonlinear algebraic steady PSR equations in order to achieve a more conditioned estimate of the initial guess. Soot moment equations are coupled with species conservation equations to obtain soot quantities, such as soot volume fraction, particle number density, particle diameter, and soot surface area density. As expected, soot volume fraction, particle number density, and soot surface area density all increased with an increase in fuel-air equivalence ratio, ( ), and residence time, where HMOM mostly predicted lower values of these quantities than MOMIC. The particle diameter variations with were case-specific, but HMOM always predicted larger-sized soot particles than MOMIC. Comparisons with experimental data, where available, showed that both HMOM and MOMIC overpredicted the soot volume fraction. | ||
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| 650 | 4 | |a Perfectly-stirred reactor model | |
| 650 | 4 | |a Moment methods | |
| 650 | 4 | |a Soot modeling | |
| 650 | 4 | |a Hybrid method of moments (HMOM) | |
| 650 | 4 | |a Moments with interpolative closure (MOMIC) | |
| 650 | 4 | |a Generalized method of moments | |
| 650 | 4 | |a Airborne particulates | |
| 650 | 4 | |a Reactors | |
| 700 | 1 | |a Sayre, Alan |4 oth | |
| 700 | 1 | |a Chandy, Abhilash J |4 oth | |
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10.1080/00102202.2016.1177035 doi PQ20160815 (DE-627)OLC1980163294 (DE-599)GBVOLC1980163294 (PRQ)c1548-cefa9f383c8599d04ae7eb2a18b0c85283df427a762f9a2576c940a8fcb900ad0 (KEY)0074009820160000188000801262hybridnewtontimeintegrationapproachcoupledtosootmo DE-627 ger DE-627 rakwb eng 530 DNB 52.51 bkl 58.21 bkl Adhikari, Sudip verfasserin aut A Hybrid Newton/Time Integration Approach Coupled to Soot Moment Methods for Modeling Soot Formation and Growth in Perfectly-Stirred Reactors 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A perfectly-stirred reactor (PSR) model based on the hybrid Newton/time integration methodology (Grcar et al., 1988) is developed and coupled to two state-of-the-art soot moment techniques, namely the method of moments with interpolative closure (MOMIC) and the hybrid method of moments (HMOM), with the latter coupling being implemented for the first time for investigating soot formation and growth. Five different PSR calculations based on initial data from previous simulations and experiments are carried out in the present study at various equivalence ratios, temperatures, and residence times, in order to test this coupling. These calculations consist of combustion of mixtures of ethylene, ethylene-benzene blends, methane, and acetylene, with air. The PSR algorithm employs a procedure of switching between steady-state and pseudo-transient calculations of the nonlinear algebraic steady PSR equations in order to achieve a more conditioned estimate of the initial guess. Soot moment equations are coupled with species conservation equations to obtain soot quantities, such as soot volume fraction, particle number density, particle diameter, and soot surface area density. As expected, soot volume fraction, particle number density, and soot surface area density all increased with an increase in fuel-air equivalence ratio, ( ), and residence time, where HMOM mostly predicted lower values of these quantities than MOMIC. The particle diameter variations with were case-specific, but HMOM always predicted larger-sized soot particles than MOMIC. Comparisons with experimental data, where available, showed that both HMOM and MOMIC overpredicted the soot volume fraction. Nutzungsrecht: © 2016 Taylor & Francis 2016 Perfectly-stirred reactor model Moment methods Soot modeling Hybrid method of moments (HMOM) Moments with interpolative closure (MOMIC) Generalized method of moments Airborne particulates Reactors Sayre, Alan oth Chandy, Abhilash J oth Enthalten in Combustion science and technology Philadelphia, PA : Taylor & Francis, 1969 188(2016), 8, Seite 1262-1282 (DE-627)129984833 (DE-600)413476-X (DE-576)015544109 0010-2202 nnns volume:188 year:2016 number:8 pages:1262-1282 http://dx.doi.org/10.1080/00102202.2016.1177035 Volltext http://www.tandfonline.com/doi/abs/10.1080/00102202.2016.1177035 http://search.proquest.com/docview/1804922762 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_21 GBV_ILN_30 GBV_ILN_70 GBV_ILN_4700 52.51 AVZ 58.21 AVZ AR 188 2016 8 1262-1282 |
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10.1080/00102202.2016.1177035 doi PQ20160815 (DE-627)OLC1980163294 (DE-599)GBVOLC1980163294 (PRQ)c1548-cefa9f383c8599d04ae7eb2a18b0c85283df427a762f9a2576c940a8fcb900ad0 (KEY)0074009820160000188000801262hybridnewtontimeintegrationapproachcoupledtosootmo DE-627 ger DE-627 rakwb eng 530 DNB 52.51 bkl 58.21 bkl Adhikari, Sudip verfasserin aut A Hybrid Newton/Time Integration Approach Coupled to Soot Moment Methods for Modeling Soot Formation and Growth in Perfectly-Stirred Reactors 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A perfectly-stirred reactor (PSR) model based on the hybrid Newton/time integration methodology (Grcar et al., 1988) is developed and coupled to two state-of-the-art soot moment techniques, namely the method of moments with interpolative closure (MOMIC) and the hybrid method of moments (HMOM), with the latter coupling being implemented for the first time for investigating soot formation and growth. Five different PSR calculations based on initial data from previous simulations and experiments are carried out in the present study at various equivalence ratios, temperatures, and residence times, in order to test this coupling. These calculations consist of combustion of mixtures of ethylene, ethylene-benzene blends, methane, and acetylene, with air. The PSR algorithm employs a procedure of switching between steady-state and pseudo-transient calculations of the nonlinear algebraic steady PSR equations in order to achieve a more conditioned estimate of the initial guess. Soot moment equations are coupled with species conservation equations to obtain soot quantities, such as soot volume fraction, particle number density, particle diameter, and soot surface area density. As expected, soot volume fraction, particle number density, and soot surface area density all increased with an increase in fuel-air equivalence ratio, ( ), and residence time, where HMOM mostly predicted lower values of these quantities than MOMIC. The particle diameter variations with were case-specific, but HMOM always predicted larger-sized soot particles than MOMIC. Comparisons with experimental data, where available, showed that both HMOM and MOMIC overpredicted the soot volume fraction. Nutzungsrecht: © 2016 Taylor & Francis 2016 Perfectly-stirred reactor model Moment methods Soot modeling Hybrid method of moments (HMOM) Moments with interpolative closure (MOMIC) Generalized method of moments Airborne particulates Reactors Sayre, Alan oth Chandy, Abhilash J oth Enthalten in Combustion science and technology Philadelphia, PA : Taylor & Francis, 1969 188(2016), 8, Seite 1262-1282 (DE-627)129984833 (DE-600)413476-X (DE-576)015544109 0010-2202 nnns volume:188 year:2016 number:8 pages:1262-1282 http://dx.doi.org/10.1080/00102202.2016.1177035 Volltext http://www.tandfonline.com/doi/abs/10.1080/00102202.2016.1177035 http://search.proquest.com/docview/1804922762 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_21 GBV_ILN_30 GBV_ILN_70 GBV_ILN_4700 52.51 AVZ 58.21 AVZ AR 188 2016 8 1262-1282 |
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10.1080/00102202.2016.1177035 doi PQ20160815 (DE-627)OLC1980163294 (DE-599)GBVOLC1980163294 (PRQ)c1548-cefa9f383c8599d04ae7eb2a18b0c85283df427a762f9a2576c940a8fcb900ad0 (KEY)0074009820160000188000801262hybridnewtontimeintegrationapproachcoupledtosootmo DE-627 ger DE-627 rakwb eng 530 DNB 52.51 bkl 58.21 bkl Adhikari, Sudip verfasserin aut A Hybrid Newton/Time Integration Approach Coupled to Soot Moment Methods for Modeling Soot Formation and Growth in Perfectly-Stirred Reactors 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A perfectly-stirred reactor (PSR) model based on the hybrid Newton/time integration methodology (Grcar et al., 1988) is developed and coupled to two state-of-the-art soot moment techniques, namely the method of moments with interpolative closure (MOMIC) and the hybrid method of moments (HMOM), with the latter coupling being implemented for the first time for investigating soot formation and growth. Five different PSR calculations based on initial data from previous simulations and experiments are carried out in the present study at various equivalence ratios, temperatures, and residence times, in order to test this coupling. These calculations consist of combustion of mixtures of ethylene, ethylene-benzene blends, methane, and acetylene, with air. The PSR algorithm employs a procedure of switching between steady-state and pseudo-transient calculations of the nonlinear algebraic steady PSR equations in order to achieve a more conditioned estimate of the initial guess. Soot moment equations are coupled with species conservation equations to obtain soot quantities, such as soot volume fraction, particle number density, particle diameter, and soot surface area density. As expected, soot volume fraction, particle number density, and soot surface area density all increased with an increase in fuel-air equivalence ratio, ( ), and residence time, where HMOM mostly predicted lower values of these quantities than MOMIC. The particle diameter variations with were case-specific, but HMOM always predicted larger-sized soot particles than MOMIC. Comparisons with experimental data, where available, showed that both HMOM and MOMIC overpredicted the soot volume fraction. Nutzungsrecht: © 2016 Taylor & Francis 2016 Perfectly-stirred reactor model Moment methods Soot modeling Hybrid method of moments (HMOM) Moments with interpolative closure (MOMIC) Generalized method of moments Airborne particulates Reactors Sayre, Alan oth Chandy, Abhilash J oth Enthalten in Combustion science and technology Philadelphia, PA : Taylor & Francis, 1969 188(2016), 8, Seite 1262-1282 (DE-627)129984833 (DE-600)413476-X (DE-576)015544109 0010-2202 nnns volume:188 year:2016 number:8 pages:1262-1282 http://dx.doi.org/10.1080/00102202.2016.1177035 Volltext http://www.tandfonline.com/doi/abs/10.1080/00102202.2016.1177035 http://search.proquest.com/docview/1804922762 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_21 GBV_ILN_30 GBV_ILN_70 GBV_ILN_4700 52.51 AVZ 58.21 AVZ AR 188 2016 8 1262-1282 |
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10.1080/00102202.2016.1177035 doi PQ20160815 (DE-627)OLC1980163294 (DE-599)GBVOLC1980163294 (PRQ)c1548-cefa9f383c8599d04ae7eb2a18b0c85283df427a762f9a2576c940a8fcb900ad0 (KEY)0074009820160000188000801262hybridnewtontimeintegrationapproachcoupledtosootmo DE-627 ger DE-627 rakwb eng 530 DNB 52.51 bkl 58.21 bkl Adhikari, Sudip verfasserin aut A Hybrid Newton/Time Integration Approach Coupled to Soot Moment Methods for Modeling Soot Formation and Growth in Perfectly-Stirred Reactors 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A perfectly-stirred reactor (PSR) model based on the hybrid Newton/time integration methodology (Grcar et al., 1988) is developed and coupled to two state-of-the-art soot moment techniques, namely the method of moments with interpolative closure (MOMIC) and the hybrid method of moments (HMOM), with the latter coupling being implemented for the first time for investigating soot formation and growth. Five different PSR calculations based on initial data from previous simulations and experiments are carried out in the present study at various equivalence ratios, temperatures, and residence times, in order to test this coupling. These calculations consist of combustion of mixtures of ethylene, ethylene-benzene blends, methane, and acetylene, with air. The PSR algorithm employs a procedure of switching between steady-state and pseudo-transient calculations of the nonlinear algebraic steady PSR equations in order to achieve a more conditioned estimate of the initial guess. Soot moment equations are coupled with species conservation equations to obtain soot quantities, such as soot volume fraction, particle number density, particle diameter, and soot surface area density. As expected, soot volume fraction, particle number density, and soot surface area density all increased with an increase in fuel-air equivalence ratio, ( ), and residence time, where HMOM mostly predicted lower values of these quantities than MOMIC. The particle diameter variations with were case-specific, but HMOM always predicted larger-sized soot particles than MOMIC. Comparisons with experimental data, where available, showed that both HMOM and MOMIC overpredicted the soot volume fraction. Nutzungsrecht: © 2016 Taylor & Francis 2016 Perfectly-stirred reactor model Moment methods Soot modeling Hybrid method of moments (HMOM) Moments with interpolative closure (MOMIC) Generalized method of moments Airborne particulates Reactors Sayre, Alan oth Chandy, Abhilash J oth Enthalten in Combustion science and technology Philadelphia, PA : Taylor & Francis, 1969 188(2016), 8, Seite 1262-1282 (DE-627)129984833 (DE-600)413476-X (DE-576)015544109 0010-2202 nnns volume:188 year:2016 number:8 pages:1262-1282 http://dx.doi.org/10.1080/00102202.2016.1177035 Volltext http://www.tandfonline.com/doi/abs/10.1080/00102202.2016.1177035 http://search.proquest.com/docview/1804922762 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_21 GBV_ILN_30 GBV_ILN_70 GBV_ILN_4700 52.51 AVZ 58.21 AVZ AR 188 2016 8 1262-1282 |
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10.1080/00102202.2016.1177035 doi PQ20160815 (DE-627)OLC1980163294 (DE-599)GBVOLC1980163294 (PRQ)c1548-cefa9f383c8599d04ae7eb2a18b0c85283df427a762f9a2576c940a8fcb900ad0 (KEY)0074009820160000188000801262hybridnewtontimeintegrationapproachcoupledtosootmo DE-627 ger DE-627 rakwb eng 530 DNB 52.51 bkl 58.21 bkl Adhikari, Sudip verfasserin aut A Hybrid Newton/Time Integration Approach Coupled to Soot Moment Methods for Modeling Soot Formation and Growth in Perfectly-Stirred Reactors 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier A perfectly-stirred reactor (PSR) model based on the hybrid Newton/time integration methodology (Grcar et al., 1988) is developed and coupled to two state-of-the-art soot moment techniques, namely the method of moments with interpolative closure (MOMIC) and the hybrid method of moments (HMOM), with the latter coupling being implemented for the first time for investigating soot formation and growth. Five different PSR calculations based on initial data from previous simulations and experiments are carried out in the present study at various equivalence ratios, temperatures, and residence times, in order to test this coupling. These calculations consist of combustion of mixtures of ethylene, ethylene-benzene blends, methane, and acetylene, with air. The PSR algorithm employs a procedure of switching between steady-state and pseudo-transient calculations of the nonlinear algebraic steady PSR equations in order to achieve a more conditioned estimate of the initial guess. Soot moment equations are coupled with species conservation equations to obtain soot quantities, such as soot volume fraction, particle number density, particle diameter, and soot surface area density. As expected, soot volume fraction, particle number density, and soot surface area density all increased with an increase in fuel-air equivalence ratio, ( ), and residence time, where HMOM mostly predicted lower values of these quantities than MOMIC. The particle diameter variations with were case-specific, but HMOM always predicted larger-sized soot particles than MOMIC. Comparisons with experimental data, where available, showed that both HMOM and MOMIC overpredicted the soot volume fraction. Nutzungsrecht: © 2016 Taylor & Francis 2016 Perfectly-stirred reactor model Moment methods Soot modeling Hybrid method of moments (HMOM) Moments with interpolative closure (MOMIC) Generalized method of moments Airborne particulates Reactors Sayre, Alan oth Chandy, Abhilash J oth Enthalten in Combustion science and technology Philadelphia, PA : Taylor & Francis, 1969 188(2016), 8, Seite 1262-1282 (DE-627)129984833 (DE-600)413476-X (DE-576)015544109 0010-2202 nnns volume:188 year:2016 number:8 pages:1262-1282 http://dx.doi.org/10.1080/00102202.2016.1177035 Volltext http://www.tandfonline.com/doi/abs/10.1080/00102202.2016.1177035 http://search.proquest.com/docview/1804922762 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_21 GBV_ILN_30 GBV_ILN_70 GBV_ILN_4700 52.51 AVZ 58.21 AVZ AR 188 2016 8 1262-1282 |
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530 DNB 52.51 bkl 58.21 bkl A Hybrid Newton/Time Integration Approach Coupled to Soot Moment Methods for Modeling Soot Formation and Growth in Perfectly-Stirred Reactors Perfectly-stirred reactor model Moment methods Soot modeling Hybrid method of moments (HMOM) Moments with interpolative closure (MOMIC) Generalized method of moments Airborne particulates Reactors |
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A Hybrid Newton/Time Integration Approach Coupled to Soot Moment Methods for Modeling Soot Formation and Growth in Perfectly-Stirred Reactors |
| abstract |
A perfectly-stirred reactor (PSR) model based on the hybrid Newton/time integration methodology (Grcar et al., 1988) is developed and coupled to two state-of-the-art soot moment techniques, namely the method of moments with interpolative closure (MOMIC) and the hybrid method of moments (HMOM), with the latter coupling being implemented for the first time for investigating soot formation and growth. Five different PSR calculations based on initial data from previous simulations and experiments are carried out in the present study at various equivalence ratios, temperatures, and residence times, in order to test this coupling. These calculations consist of combustion of mixtures of ethylene, ethylene-benzene blends, methane, and acetylene, with air. The PSR algorithm employs a procedure of switching between steady-state and pseudo-transient calculations of the nonlinear algebraic steady PSR equations in order to achieve a more conditioned estimate of the initial guess. Soot moment equations are coupled with species conservation equations to obtain soot quantities, such as soot volume fraction, particle number density, particle diameter, and soot surface area density. As expected, soot volume fraction, particle number density, and soot surface area density all increased with an increase in fuel-air equivalence ratio, ( ), and residence time, where HMOM mostly predicted lower values of these quantities than MOMIC. The particle diameter variations with were case-specific, but HMOM always predicted larger-sized soot particles than MOMIC. Comparisons with experimental data, where available, showed that both HMOM and MOMIC overpredicted the soot volume fraction. |
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A perfectly-stirred reactor (PSR) model based on the hybrid Newton/time integration methodology (Grcar et al., 1988) is developed and coupled to two state-of-the-art soot moment techniques, namely the method of moments with interpolative closure (MOMIC) and the hybrid method of moments (HMOM), with the latter coupling being implemented for the first time for investigating soot formation and growth. Five different PSR calculations based on initial data from previous simulations and experiments are carried out in the present study at various equivalence ratios, temperatures, and residence times, in order to test this coupling. These calculations consist of combustion of mixtures of ethylene, ethylene-benzene blends, methane, and acetylene, with air. The PSR algorithm employs a procedure of switching between steady-state and pseudo-transient calculations of the nonlinear algebraic steady PSR equations in order to achieve a more conditioned estimate of the initial guess. Soot moment equations are coupled with species conservation equations to obtain soot quantities, such as soot volume fraction, particle number density, particle diameter, and soot surface area density. As expected, soot volume fraction, particle number density, and soot surface area density all increased with an increase in fuel-air equivalence ratio, ( ), and residence time, where HMOM mostly predicted lower values of these quantities than MOMIC. The particle diameter variations with were case-specific, but HMOM always predicted larger-sized soot particles than MOMIC. Comparisons with experimental data, where available, showed that both HMOM and MOMIC overpredicted the soot volume fraction. |
| abstract_unstemmed |
A perfectly-stirred reactor (PSR) model based on the hybrid Newton/time integration methodology (Grcar et al., 1988) is developed and coupled to two state-of-the-art soot moment techniques, namely the method of moments with interpolative closure (MOMIC) and the hybrid method of moments (HMOM), with the latter coupling being implemented for the first time for investigating soot formation and growth. Five different PSR calculations based on initial data from previous simulations and experiments are carried out in the present study at various equivalence ratios, temperatures, and residence times, in order to test this coupling. These calculations consist of combustion of mixtures of ethylene, ethylene-benzene blends, methane, and acetylene, with air. The PSR algorithm employs a procedure of switching between steady-state and pseudo-transient calculations of the nonlinear algebraic steady PSR equations in order to achieve a more conditioned estimate of the initial guess. Soot moment equations are coupled with species conservation equations to obtain soot quantities, such as soot volume fraction, particle number density, particle diameter, and soot surface area density. As expected, soot volume fraction, particle number density, and soot surface area density all increased with an increase in fuel-air equivalence ratio, ( ), and residence time, where HMOM mostly predicted lower values of these quantities than MOMIC. The particle diameter variations with were case-specific, but HMOM always predicted larger-sized soot particles than MOMIC. Comparisons with experimental data, where available, showed that both HMOM and MOMIC overpredicted the soot volume fraction. |
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A Hybrid Newton/Time Integration Approach Coupled to Soot Moment Methods for Modeling Soot Formation and Growth in Perfectly-Stirred Reactors |
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