Experimental characterization of jet fuels under engine relevant conditions – Part 2: Insights on optimization approach for surrogate formulation
Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kang, Dongil [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias - Yang, Chaoqiang ELSEVIER, 2018, the science and technology of fuel and energy, New York, NY [u.a.] |
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| Übergeordnetes Werk: |
volume:239 ; year:2019 ; day:1 ; month:03 ; pages:1405-1416 ; extent:12 |
| Links: |
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| DOI / URN: |
10.1016/j.fuel.2018.10.006 |
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ELV045351252 |
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| 245 | 1 | 0 | |a Experimental characterization of jet fuels under engine relevant conditions – Part 2: Insights on optimization approach for surrogate formulation |
| 264 | 1 | |c 2019transfer abstract | |
| 300 | |a 12 | ||
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| 520 | |a Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. | ||
| 520 | |a Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. | ||
| 650 | 7 | |a Kinetic mechanisms |2 Elsevier | |
| 650 | 7 | |a Constant volume spray chamber |2 Elsevier | |
| 650 | 7 | |a Autoignition |2 Elsevier | |
| 650 | 7 | |a Motored engine |2 Elsevier | |
| 650 | 7 | |a TSI |2 Elsevier | |
| 650 | 7 | |a Surrogate |2 Elsevier | |
| 700 | 1 | |a Kim, Doohyun |4 oth | |
| 700 | 1 | |a Kalaskar, Vickey |4 oth | |
| 700 | 1 | |a Boehman, André |4 oth | |
| 700 | 1 | |a Violi, Angela |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Yang, Chaoqiang ELSEVIER |t Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias |d 2018 |d the science and technology of fuel and energy |g New York, NY [u.a.] |w (DE-627)ELV000307122 |
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| 856 | 4 | 0 | |u https://doi.org/10.1016/j.fuel.2018.10.006 |3 Volltext |
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10.1016/j.fuel.2018.10.006 doi GBV00000000000493.pica (DE-627)ELV045351252 (ELSEVIER)S0016-2361(18)31717-4 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Kang, Dongil verfasserin aut Experimental characterization of jet fuels under engine relevant conditions – Part 2: Insights on optimization approach for surrogate formulation 2019transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. Kinetic mechanisms Elsevier Constant volume spray chamber Elsevier Autoignition Elsevier Motored engine Elsevier TSI Elsevier Surrogate Elsevier Kim, Doohyun oth Kalaskar, Vickey oth Boehman, André oth Violi, Angela oth Enthalten in Elsevier Yang, Chaoqiang ELSEVIER Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias 2018 the science and technology of fuel and energy New York, NY [u.a.] (DE-627)ELV000307122 volume:239 year:2019 day:1 month:03 pages:1405-1416 extent:12 https://doi.org/10.1016/j.fuel.2018.10.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 239 2019 1 0301 1405-1416 12 |
| spelling |
10.1016/j.fuel.2018.10.006 doi GBV00000000000493.pica (DE-627)ELV045351252 (ELSEVIER)S0016-2361(18)31717-4 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Kang, Dongil verfasserin aut Experimental characterization of jet fuels under engine relevant conditions – Part 2: Insights on optimization approach for surrogate formulation 2019transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. Kinetic mechanisms Elsevier Constant volume spray chamber Elsevier Autoignition Elsevier Motored engine Elsevier TSI Elsevier Surrogate Elsevier Kim, Doohyun oth Kalaskar, Vickey oth Boehman, André oth Violi, Angela oth Enthalten in Elsevier Yang, Chaoqiang ELSEVIER Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias 2018 the science and technology of fuel and energy New York, NY [u.a.] (DE-627)ELV000307122 volume:239 year:2019 day:1 month:03 pages:1405-1416 extent:12 https://doi.org/10.1016/j.fuel.2018.10.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 239 2019 1 0301 1405-1416 12 |
| allfields_unstemmed |
10.1016/j.fuel.2018.10.006 doi GBV00000000000493.pica (DE-627)ELV045351252 (ELSEVIER)S0016-2361(18)31717-4 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Kang, Dongil verfasserin aut Experimental characterization of jet fuels under engine relevant conditions – Part 2: Insights on optimization approach for surrogate formulation 2019transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. Kinetic mechanisms Elsevier Constant volume spray chamber Elsevier Autoignition Elsevier Motored engine Elsevier TSI Elsevier Surrogate Elsevier Kim, Doohyun oth Kalaskar, Vickey oth Boehman, André oth Violi, Angela oth Enthalten in Elsevier Yang, Chaoqiang ELSEVIER Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias 2018 the science and technology of fuel and energy New York, NY [u.a.] (DE-627)ELV000307122 volume:239 year:2019 day:1 month:03 pages:1405-1416 extent:12 https://doi.org/10.1016/j.fuel.2018.10.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 239 2019 1 0301 1405-1416 12 |
| allfieldsGer |
10.1016/j.fuel.2018.10.006 doi GBV00000000000493.pica (DE-627)ELV045351252 (ELSEVIER)S0016-2361(18)31717-4 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Kang, Dongil verfasserin aut Experimental characterization of jet fuels under engine relevant conditions – Part 2: Insights on optimization approach for surrogate formulation 2019transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. Kinetic mechanisms Elsevier Constant volume spray chamber Elsevier Autoignition Elsevier Motored engine Elsevier TSI Elsevier Surrogate Elsevier Kim, Doohyun oth Kalaskar, Vickey oth Boehman, André oth Violi, Angela oth Enthalten in Elsevier Yang, Chaoqiang ELSEVIER Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias 2018 the science and technology of fuel and energy New York, NY [u.a.] (DE-627)ELV000307122 volume:239 year:2019 day:1 month:03 pages:1405-1416 extent:12 https://doi.org/10.1016/j.fuel.2018.10.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 239 2019 1 0301 1405-1416 12 |
| allfieldsSound |
10.1016/j.fuel.2018.10.006 doi GBV00000000000493.pica (DE-627)ELV045351252 (ELSEVIER)S0016-2361(18)31717-4 DE-627 ger DE-627 rakwb eng 530 600 670 VZ 51.00 bkl Kang, Dongil verfasserin aut Experimental characterization of jet fuels under engine relevant conditions – Part 2: Insights on optimization approach for surrogate formulation 2019transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. Kinetic mechanisms Elsevier Constant volume spray chamber Elsevier Autoignition Elsevier Motored engine Elsevier TSI Elsevier Surrogate Elsevier Kim, Doohyun oth Kalaskar, Vickey oth Boehman, André oth Violi, Angela oth Enthalten in Elsevier Yang, Chaoqiang ELSEVIER Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias 2018 the science and technology of fuel and energy New York, NY [u.a.] (DE-627)ELV000307122 volume:239 year:2019 day:1 month:03 pages:1405-1416 extent:12 https://doi.org/10.1016/j.fuel.2018.10.006 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 51.00 Werkstoffkunde: Allgemeines VZ AR 239 2019 1 0301 1405-1416 12 |
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Experimental characterization of jet fuels under engine relevant conditions – Part 2: Insights on optimization approach for surrogate formulation |
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Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. |
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Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. |
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Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels. |
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These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Computational combustion modeling is an essential complementary tool to engine experiments and the combination of computational fluid dynamics and detailed chemical kinetics provides the promise for optimizing engine performance. However, predicting the effects of chemical and physical properties of fuels on engine performance is a great challenge since transportation fuels are composed of several hundreds to thousands of chemical species. Surrogates are simpler representations of real fuels and are comprised of selected species of known concentrations that exhibit combustion characteristics similar to those of the real fuels. In this paper, drawing from our previous work on surrogate formulations, we investigate the effects of surrogate components on the autoignition characteristics of conventional and alternative jet fuels, using a combination of experimental and modeling approaches. As target fuels, we analyzed a conventional jet fuel (Jet-A) and two alternative jet fuels (coal-derived IPK, natural-gas-derived S8). Experimental data on the properties of surrogate mixtures, such as liquid density and threshold sooting index, their combustion behaviors, together with those from their corresponding target real fuels are compared and analyzed using predictions obtained from the surrogate model. Results from a modified CFR engine show that the ignition reactivity of Jet-A and Sasol IPK surrogates are stronger than their target fuels, while the S8 surrogate displayed an ignition behavior very similar to the target S8. Results from a constant volume spray combustion chamber provided reasonable agreements between the surrogates and their target jet fuels in terms of physical and chemical ignition delay times and apparent heat release trends, with the S8 surrogate showing the best agreement. In addition, surrogate mixtures that were modified from the original Jet-A and IPK surrogates to achieve a better agreement with CFR experiments performed poorly when tested in a spray chamber. These results imply that the agreement between the behaviors of surrogates and real fuels in one device or in one condition does not guarantee similarity in other devices or in other conditions. This study also highlights the need for improvements in the current surrogate formulation methodologies to provide a more universal emulation of the autoignition behaviors of target transportation fuels.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Kinetic mechanisms</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Constant volume spray chamber</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Autoignition</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Motored engine</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">TSI</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Surrogate</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kim, Doohyun</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kalaskar, Vickey</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Boehman, André</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Violi, Angela</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Yang, Chaoqiang ELSEVIER</subfield><subfield code="t">Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias</subfield><subfield code="d">2018</subfield><subfield code="d">the science and technology of fuel and energy</subfield><subfield code="g">New York, NY [u.a.]</subfield><subfield code="w">(DE-627)ELV000307122</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:239</subfield><subfield code="g">year:2019</subfield><subfield code="g">day:1</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:1405-1416</subfield><subfield code="g">extent:12</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.fuel.2018.10.006</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.00</subfield><subfield code="j">Werkstoffkunde: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">239</subfield><subfield code="j">2019</subfield><subfield code="b">1</subfield><subfield code="c">0301</subfield><subfield code="h">1405-1416</subfield><subfield code="g">12</subfield></datafield></record></collection>
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