This study presents the application of Electrical Capacitance Tomography (ECT) for real-time monitoring and imaging of combustion flames in industrial burners. Given the importance of understanding flame characteristics—such as stability, thermal efficiency, and pollutant emissions—this research addresses the limitations of existing optical, thermal, acoustic, and electrical detection methods in harsh industrial environments. ECT, a non-invasive and cost-effective technique, was employed to visualize the distribution of dielectric constants in the flame, which correlates with combustion intensity. A novel design of nine-electrode sensors, optimized for placement at the burner nozzle, was proposed and simulated. Sensitivity field distribution and sensor geometry were fine-tuned for accurate detection. The study utilized Landweber and Tikhonov regularization algorithms for image reconstruction, with the latter proving superior in clarity and correlation. The results demonstrate the feasibility of using ECT for precise flame monitoring, offering potential improvements in burner design and operation.

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Combustion Chamber Flame Monitoring and Imaging Based on Electrical Capacitance Tomography

  • Ji Dong,
  • Guoqiang Liu,
  • Jing Liu

摘要

This study presents the application of Electrical Capacitance Tomography (ECT) for real-time monitoring and imaging of combustion flames in industrial burners. Given the importance of understanding flame characteristics—such as stability, thermal efficiency, and pollutant emissions—this research addresses the limitations of existing optical, thermal, acoustic, and electrical detection methods in harsh industrial environments. ECT, a non-invasive and cost-effective technique, was employed to visualize the distribution of dielectric constants in the flame, which correlates with combustion intensity. A novel design of nine-electrode sensors, optimized for placement at the burner nozzle, was proposed and simulated. Sensitivity field distribution and sensor geometry were fine-tuned for accurate detection. The study utilized Landweber and Tikhonov regularization algorithms for image reconstruction, with the latter proving superior in clarity and correlation. The results demonstrate the feasibility of using ECT for precise flame monitoring, offering potential improvements in burner design and operation.