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Diagnostic investigation of particle ignition, temperature variation and structure change in an opposed multi-burner gasifier
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DOI:10.1016/j.combustflame.2026.115019.png)
Abstract
En 中文
This study investigates the in-situ ignition delay time, temperature variation and the internal structure changes of coal-water slurry (CWS) droplets during reaction process based on a bench-scale entrained-flow CWS gasification platform. Precise diagnosis of real-time morphology, reaction, and temperature changes during particle reactions was successfully realized. The results demonstrate that a significant number of particles are adhered to the surface of the refractory, and that the number of particles increases with increasing oxygen-carbon ratio (O/C). The evaporation of moisture from wall-adhered CWS droplets induced swelling, with an average expansion rate exceeding 20%. The average ignition delay time of CWS droplets increased with particle size. The decline in ignition delay time is more evident for larger particle at higher O/C. A predictive model for CWS ignition delay time was constructed using machine learning principles based on Python multivariate nonlinear regression. By introducing partial derivation to each experimental data point, the specific contributions of the O/C and particle size variation to the particle ignition delay time were obtained. The particles adhering to the wall surface exhibited heterogeneous oxidation. The particle oxidation process is characterized by inhomogeneous heating, with the reaction shows greater intensity in the region that is in direct contact with the gas stream. The contraction of the particles' area during the reaction process is more stable, and the sudden change in area is primarily due to the phase change that occurs during the heating process of the particles. A conceptual model of internal structural changes in the CWS droplet reaction process was developed based on experimental phenomena.
Keywords:
ignition delay time
coal-water slurry
particle morphology
temperature variation
structural change
Journal
IF:
6.2
Papers:
9.5K
Citations:
4.2W
