A quantitative evaluation method of 3D flame curvature from reconstructed flame structure

Yu, Tao; Wang, Qian; Ruan, Can; Chen, Feier; Lu, Xingcai; Klein, Markus

doi:10.1007/s00348-020-2905-0

Cited by 15 publications

(4 citation statements)

References 40 publications

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“…For this purpose, the 3D mean curvature ( ) of the flame's inner surfaces is calculated based on a triangle mesh method (Yu et al 2020). The mean curvature m of a point on a 3D surface is determined as the average of two principal curvatures 1 and 2 (i.e., the maximum and minimum curvatures).…”

Section: Demonstration On Turbulent Flamesmentioning

confidence: 99%

Development and Validation of Evaluation Methods for 3D Flame Propagation Speed of Turbulent Non-premixed Edge Flames via Tomographic Chemiluminescence

Chi

Lei

Song

et al. 2021

Flow Turbulence Combust

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This work reports the development and validation of evaluation methods for measurements of 3D, instantaneous, local flame propagation speed on a turbulent methane jet diffusion flame. Despite its fundamental importance to turbulent flame research, the experimental measurements for 3D flame propagation speed are scarce due to the complexity of turbulent flame surfaces and the mathematical challenges. Existing evaluation methods based on surface fitting and normal vectors cannot be readily extended to a laboratory-scale, turbulent flame. Two new methods were therefore developed to address this issue. The methods were validated numerically with artificially created phantoms and experimentally with 3D flame structures obtained by tomographic chemiluminescence on a turbulent jet flame. The methods were demonstrated to be able to evaluate the 3D flame propagation speed of complex flame structures with significantly enhanced accuracy and robustness. Based on the evaluations, the relationship between flame propagation speed and curvature was studied on the presented flame.

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Section: Demonstration On Turbulent Flamesmentioning

confidence: 99%

Development and Validation of Evaluation Methods for 3D Flame Propagation Speed of Turbulent Non-premixed Edge Flames via Tomographic Chemiluminescence

Chi

Lei

Song

et al. 2021

Flow Turbulence Combust

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“…(c) Some advanced methods like machine/deep learningassisted methods [114] and hybrid methods [109,115] that used in gas flame detection could be tailored to the metal flame measurement. (d) Combining tomographic techniques [116,117] with the existing optical diagnostics to realize spatially-resolved measurements of some important parameters. (e) Appling in situ XRD method to detect the internal structure of burning particles, so as to study the special combustion behaviors like micro-explosion in some metal particle combustion processes.…”

Section: Conclusion Unresolved Problems and Future Directionsmentioning

confidence: 99%

Combustion diagnostics of metal particles: a review

Fan¹,

Liu²,

Yu³

2023

Meas. Sci. Technol.

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Metal fuel is one of the attractive alternative fuels for its high energy density and zero carbon emission. In the past, they were often used as additives in fireworks and propellants. More attentions have been paid to metal fuels as the environmental issue and energy dilemma become increasingly severe. Ongoing efforts have been devoted to both modelling and experimental studies of metal fuel combustion. This review mainly focuses on the experimental progress on the combustion of micron-scale metal fuels during the past three decades. The experimental setups and the combustion diagnostics techniques used for single particle combustion and metal dust flames have significant distinctions, so they have been summarized separately. Those setups to produce single particle flames or metal dust flames are discussed in terms of their structure, scope of application, advantages and disadvantages. The diagnostics techniques are classified according to the physical parameters that are commonly adopted to characterize the metal particle combustion including burn time, temperature, particle size, dust concentration and burning velocity. Both online and offline measurement techniques are investigated in detail focusing on the measurement principle, system configuration and uncertainty analysis. Finally, the review is concluded with some unresolved problems in the field of metal particles combustion diagnostics, and provides insights into promising future research directions.

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“…However, since most practical ows or ames are inherently 3D with asymmetric surface distribution, the 3D curvature measurement is a necessity to characterize the ame nature. Recently, multiple calculation methods of 3D curvature were investigated and developed, such as the central difference method in quad-plane PIV measurements (Kerl et al, 2013), the three-point nite-differencing scheme in (Ma et al, 2016b;Yu et al, 2020), the local polynomial tting method in ame surface measurements (Wiseman et al, 2017), and so on. By implementing these methods, 3D curvatures were calculated and discussed in some studies to reveal interesting correlations with the ow or ame essence.…”

Section: Surface Curvature and Velocity Measurementsmentioning

confidence: 99%

“…Traditional 2D particle image velocimetry (PIV) and 3D tomography were combined to measure the 3D velocity distribution in ow elds (Ebi and Clemens, 2016). The triangle-mesh-based method and tomography were combined to calculate the 3D surface curvatures (i.e., mean curvature and Gaussian curvatures) of turbulent swirl ames (Yu et al, 2020). For con ned-space tomography problems, the optical signal eld is enclosed by the facility walls while the imaging system is set outside.…”

Section: Introductionmentioning

confidence: 99%

3D Measurements of a Two-Phase Flow Inside an Optical Cylinder Based on Full-Field Cross-Interface Computed Tomography

Ling

Chen

et al. 2023

Flow Turbulence Combust

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Three-dimensional (3D) tomographic reconstruction in con ned-space requires a mapping relationship which considers the refraction distortion caused by optical walls. In this work, a tomography method, namely full-eld cross-interface computed tomography (FCICT), is proposed to solve con ne-space problems. The FCICT method utilizes Snell's law and reverse ray-tracing to analytically correct imaging distortion and establishes the mapping relationship from 3D measurement domain to 2D images. Numerical phantom study is rst employed to validate the FCICT method. Afterwards, the FCICT is applied on the experimental reconstruction of an illuminated two-phase jet ow which is initially generated inside an optical cylinder and then gradually moves outside. The comparison between accurately reconstructed vapor by FCICT and coarse result by traditional open space tomography algorithm provides a practical validation of FCICT. Based on the 3D vapor reconstructions at different time sequences, the distributions of surface velocity and 3D curvatures are calculated, and their correspondences are systematically analyzed. It is found that the velocity of a surface point is positively correlated with the mean curvature at the same point, which indicates the concavity/convexity of vapor surface is possibly in accordance with the surface velocity. Moreover, the surface velocity presents monotonical increasing trend with larger Gaussian curvature for elliptic surface points only, due to the dominated Brownian motion as the vapor develops.

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A quantitative evaluation method of 3D flame curvature from reconstructed flame structure

Cited by 15 publications

References 40 publications

Development and Validation of Evaluation Methods for 3D Flame Propagation Speed of Turbulent Non-premixed Edge Flames via Tomographic Chemiluminescence

Development and Validation of Evaluation Methods for 3D Flame Propagation Speed of Turbulent Non-premixed Edge Flames via Tomographic Chemiluminescence

Combustion diagnostics of metal particles: a review

3D Measurements of a Two-Phase Flow Inside an Optical Cylinder Based on Full-Field Cross-Interface Computed Tomography

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