| Coarse-grained modeling of high-enthalpy air flows based on the updated vibrational state-to-state kinetics | |
Huang, Yifeng1; Hong QZ(洪启臻)1 ; Gu, Sangdi2; Wang XY(王小永)1; Sun QH(孙泉华)1,3
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| Corresponding Author | Hong, Qizhen([email protected]) ; Sun, Quanhua([email protected]) |
| Source Publication | PHYSICS OF FLUIDS
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| 2024-10-01 | |
| Volume | 36Issue:10Pages:23 |
| ISSN | 1070-6631 |
| Abstract | The state-to-state (StS) model can accurately describe high-temperature thermochemical nonequilibrium flows. For the five-species air gas mixture, we develop a comprehensive database for the state-specific rate coefficients for temperatures 300-25 000 K in this paper. The database incorporates recent molecular dynamics simulations (based on the ab initio potential energy surfaces) in the literature, and theoretical methods, including the forced harmonic oscillator model and the Marrone-Treanor model, are employed to complement the rate coefficients that are unavailable from molecular dynamics calculations. The post-shock StS simulations using the present database agree with the experimental NO infrared radiation. Based on this updated StS kinetics database, we investigate the post-shock high-enthalpy air flows by employing both the StS and coarse-grained models (CGM). The CGM, which lumps molecular vibrational states into groups, shows results that align with the StS model, even utilizing only two groups for each molecule. However, the CGM-1G model, with only one group per molecule and belonging to the multi-temperature model (but uses StS kinetics), fails to reproduce the StS results. Analysis of vibrational energy source terms for different kinetic processes and fractions of vibrational groups reveals that the deficiency of the CGM-1G model stems from the overestimation of high-lying vibrational states, leading to higher dissociation rates and increased consumption of vibrational energy in dissociation. Furthermore, the presence of the Zeldovich-exchange processes indirectly facilitates energy transfer in N2 and O2, a phenomenon not observed in binary gas systems. These findings have important implications for developing the reduced-order model based on coarse-grained treatment. |
| DOI | 10.1063/5.0230687 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:001332644200015 |
| WOS Keyword | THERMAL RATE CONSTANTS ; DISSOCIATION RATES ; HYPERSONIC FLOWS ; ENERGY-TRANSFER ; RELAXATION ; OSCILLATOR ; EXCITATION ; OXYGEN |
| WOS Research Area | Mechanics ; Physics |
| WOS Subject | Mechanics ; Physics, Fluids & Plasmas |
| Funding Project | Strategic Priority Research Program of the Chinese Academy of Sciences ; China Postdoctoral Science Foundation[2022M723233] ; National Natural Science Foundation of China[12302391] ; [XDB0620201] |
| Funding Organization | Strategic Priority Research Program of the Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China |
| Classification | 一类/力学重要期刊 |
| Ranking | 1 |
| Contributor | Hong, Qizhen ; Sun, Quanhua |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/97012 |
| Collection | 高温气体动力学国家重点实验室 |
| Affiliation | 1.Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China; 2.Hong Kong Polytech Univ, Dept Aeronaut & Aviat Engn, Kowloon, Hong Kong, Peoples R China; 3.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China |
| Recommended Citation GB/T 7714 | Huang, Yifeng,Hong QZ,Gu, Sangdi,et al. Coarse-grained modeling of high-enthalpy air flows based on the updated vibrational state-to-state kinetics[J]. PHYSICS OF FLUIDS,2024,36,10,:23.Rp_Au:Hong, Qizhen, Sun, Quanhua |
| APA | Huang, Yifeng,洪启臻,Gu, Sangdi,王小永,&孙泉华.(2024).Coarse-grained modeling of high-enthalpy air flows based on the updated vibrational state-to-state kinetics.PHYSICS OF FLUIDS,36(10),23. |
| MLA | Huang, Yifeng,et al."Coarse-grained modeling of high-enthalpy air flows based on the updated vibrational state-to-state kinetics".PHYSICS OF FLUIDS 36.10(2024):23. |
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