Comprehensive Analyses on the Influential Factors in Supersonic Combustion Simulation Using Dynamic Adaptive Chemistry Method

doi:10.1080/00102202.2022.2115838

CORC > 力学研究所 > 中国科学院力学研究所 > 高温气体动力学国家重点实验室

	Comprehensive Analyses on the Influential Factors in Supersonic Combustion Simulation Using Dynamic Adaptive Chemistry Method
	Wu K(吴坤)3; Contino, Francesco 2; Fan XJ(范学军)1,3
刊名	COMBUSTION SCIENCE AND TECHNOLOGY
	2022-09-02
页码	29
关键词	Dynamic adaptive chemistry mechanism reduction method error threshold search initiating species High-fidelity numerical simulation
ISSN号	0010-2202
DOI	10.1080/00102202.2022.2115838
通讯作者	Fan, Xuejun(xfan@imech.ac.cn)
英文摘要	To overcome the major challenge of reactive flow simulation for chemical kinetics dominated flame dynamics in supersonic combustion, on-the-fly mechanism reduction for high fidelity simulation of scramjet becomes mandatory. For dynamic adaptive chemistry (DAC) methodology, there are three major factors controlling the accuracy and efficiency of the overall simulation, namely, the mechanism reduction method, error threshold value epsilon(DAC), and search initiating species (SIS). In the present work, systematic investigations of the three influential factors were conducted for large eddy simulation of ethylenefueled supersonic combustion within a unified DAC framework. The results show that all the four mechanism reduction methods, i.e., DRG, DRGEP, PFA, and DAC-L, are adequate for the combustor's global performance prediction regarding the wall pressure, stable combustion productions, and temperature. However, for intricate flame stabilization characteristics, the DRG, DRGEP, and DAC-L methods yield comparable prediction accuracy in radical distributions, whereas the PFA method leads to relatively large discrepancies compared to direct integration with the detailed mechanism. The DRGEP method obtains the best balance between numerical accuracy and computational efficiency among the four methods, while the PFA method is the most computationally demanding one. Regarding the mechanism reduction error threshold value, the relative errors in physical property predictions increase as the relaxation of the error threshold value. And the comparative study suggests that the epsilon(DAC) should not exceed 10(-4) for high fidelity simulations of supersonic combustion. Furthermore, the stable species combination, namely, fuel, O-2, and N-2 incurs larger relative errors in radical mass fraction prediction than the combination including fuel and intermediate species HO2 and CO. Nevertheless, the latter is less computationally efficient than the former as it requires 15% more CPU time to solve the stiff ODE system of the resultant skeletal mechanism. It should be noted that the computational overheads for mechanism reduction under various epsilon(DAC) values and SIS combinations are almost the same, and the overall computational efficiency is mainly determined by the CPU time for solving the stiff ODE system of the size-reduced skeletal mechanisms.
分类号	Q3
资助项目	National Key Project[GJXM92579]
WOS关键词	REDUCTION ; ETHYLENE ; ENGINE ; ACCELERATION ; TABULATION ; ISOOCTANE ; MECHANISM ; IGNITION ; SCHEME
WOS研究方向	Thermodynamics ; Energy & Fuels ; Engineering
语种	英语
WOS记录号	WOS:000848769100001
资助机构	National Key Project
其他责任者	Fan, Xuejun
内容类型	期刊论文
源URL	[http://dspace.imech.ac.cn/handle/311007/90006]
专题	力学研究所_高温气体动力学国家重点实验室
作者单位	1.Univ Chinese Acad Sci, Sch Engn Sci, Beijing, Peoples R China 2.Univ Catholique Louvain UCLouvain, Inst Mech Mat & Civil Engn iMMC, Ottignies, Belgium; 3.Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100190, Peoples R China;
推荐引用方式 GB/T 7714	Wu K,Contino, Francesco,Fan XJ. Comprehensive Analyses on the Influential Factors in Supersonic Combustion Simulation Using Dynamic Adaptive Chemistry Method[J]. COMBUSTION SCIENCE AND TECHNOLOGY,2022:29.
APA	吴坤,Contino, Francesco,&范学军.(2022).Comprehensive Analyses on the Influential Factors in Supersonic Combustion Simulation Using Dynamic Adaptive Chemistry Method.COMBUSTION SCIENCE AND TECHNOLOGY,29.
MLA	吴坤,et al."Comprehensive Analyses on the Influential Factors in Supersonic Combustion Simulation Using Dynamic Adaptive Chemistry Method".COMBUSTION SCIENCE AND TECHNOLOGY (2022):29.