Application study of Dynamic Mode Decomposition coupled with a high-speed imaging system in jet zone oscillation behavior diagnosis of impinging flames. (June 2023)

• Record Type: Journal Article
• Authors: Yang, Jiabao; Yan, Shuai; Gong, Yan; Guo, Qinghua; Ding, Lu; Yu, Guangsuo
• Is Part Of: Control engineering practice. Volume 135(2023)
• Publication Date: 2023-06
• Subjects: Combustion instability -- Flame structure -- Dynamic Mode Decomposition -- Impinging flame -- Diffusion flame; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2023.105494
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: Dynamic Mode Decomposition (DMD) is a data-driven analysis method for plenty of snapshots, which has good application prospects in the combustion diagnostics base on optical methods. In this study, the self-pulsation combustion instability of four-burner impinging diesel flame was explored based on a bench-scale opposed multi-burner entrained-flow gasifier. The spatiotemporal evolution of the flame structure in the jet zone was studied by DMD analysis. The vortex evolution of the central reaction stream was divided into four stages, and the period of each stage was determined. The boundary streams also have periodic oscillations in the reaction intensity. The modes with high growth factor can accurately identify the oscillation components in different structures of the flame. The corresponding feature DMD modes were in good agreement with the flame structure obtained from the grayscale image, but the local components in the DMD mode may belong to different time scales. Graphical abstract: Highlights: Jet structure of impinging diesel flames in an entrained-flow gasifier was studied. Dynamic Mode Decomposition was applied in high-speed flame image sequences. Self-pulsation oscillation behavior in flame jet zone was revealed. Development process of the burning vortex was divided into four stages. DMD modes can accurately identify oscillation components in combustion field.