Abstract
Dynamic temperature imaging is essential for characterising the thermophysical performance of the combustion process. It is also of great importance for evaluation of the next-generation sustainable fuels in terms of combustion instability and efficiency. Using Laser Absorption Spectroscopy Tomography (LAST), Dr Chang Liu and his research group have developed a robust 32-beam optical sensor, a high-speed multi-channel data acquisition system, and imaging algorithms to reconstruct the cross-sectional temperature distributions of dynamic flames at 1 kilo frames per second (fps). A video indicating the dynamic flames during a 4-seconds combustion process is recorded at 30 fps. The temperature distributions at a cross section of the flames are reconstructed at 1k fps with a 10-time slower motion of the reconstruction shown in the video. The video clearly shows strong consistency between the real flames and the reconstructions. Flame 1 vibrates with temperature firstly decreased and then gradually increased, while flame 2 gives periodical vibration. This work is a lab-scale experiment of the EPSRC Platform Grant “In-situ Chemical Measurement and Imaging Diagnostics for Energy Process Engineering (CIDER)” (EP/P001661/1).
Date made available | 16 Nov 2022 |
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Publisher | Edinburgh DataShare |