Ignition measurement of non-premixed propane with varying co-flowing AIR through high-speed schlieren stereoscopic colour imaging

Yang, Jiansheng; Ma, Zhewen; Huang, Li; Li, Xiannan; Jiang, Houshi; Yang, Hao; Zhang, Yang

doi:10.1016/j.tsep.2022.101250

Cited by 3 publications

(1 citation statement)

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“…Therefore, it is widely used to reconstruct 3D flame fields with high spatial resolution [6,14] and continuous tomography [15,16]. Cost-effective BOST systems [2,5,16,17] and highefficiency 3D reconstruction algorithms [2,6,14,18] have become the leading research trends in previous BOST studies. For the cost-effective BOST system, they aimed to obtain a reliable 3D reconstruction of the flow field using a few cameras.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction Method of 3D Turbulent Flames by Background-Oriented Schlieren Tomography and Analysis of Time Asynchrony

Gao,

Zhang,

et al. 2023

Fire

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Background-oriented Schlieren tomography (BOST) is widely used for 3D reconstruction of turbulent flames. Two major concerns are associated with 3D reconstruction. One is the time asynchrony within the data acquisition of the high-speed camera. The other is that the ray tracing process requires significant computational consumption. This study proposes a ray tracing optimization method based on the k-d tree. The study results show that the average search nodes for each ray are only 0.018% of 3D flame with 3.07 million grid nodes. In addition, a parameter estimation method of the unknown azimuth power spectrum function is proposed. First, a typical Sandia turbulent jet diffusion flame dataset was built and validated accordingly, with experiments. The algorithm’s applicability to the 3D reconstruction of temperature and density fields is discussed on this basis. The root-mean-square error (RMSE) of the cross-section density for 3D reconstruction is below 0.1 kg/m3. In addition, the RMSE of the cross-section temperature is below 270 K. Finally, an uncertainty analysis of the flame reconstruction based on a physical model is performed by optimizing the ray tracing method. For the time asynchronous variance of 1 ms, the density uncertainty of the 3D reconstruction is below 1.6 × 10−2 kg/m3, and the temperature uncertainty is below 70 K. The method can provide an essential basis for the design of BOST systems and the 3D reconstruction of turbulent flames.

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