| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 237499 | Powder Technology | 2011 | 11 Pages |
In the present paper, the extraction of dominant particle concentration fluctuation at various time–space frequency levels from reconstructed electrical capacitance tomography (ECT) images by means of the discrete wavelet transform has been proposed. Using this concept, three-dimensional images (time and two-dimensional space) obtained by an ECT system are decomposed into different time and space levels to characterize the intrinsic features of the particle distribution in a down-flow fluidized bed with a newly designed distributor using three-dimensional discrete wavelet multiresolution. As a result, the dominant time and space particle distribution characteristics for a specific frequency level can be visualized. On the basis of the wavelet analysis results, the best operation condition, under which the most stable and uniform particle distribution can be obtained, was clarified. This provides a good reference for the optimization of a downer reactor to qualify the refinery process in the petroleum industry.
Graphical abstractParticle distribution images obtained by an ECT system are decomposed into different time and space levels to characterize the intrinsic features of the particle distribution in a down-flow fluidized bed using discrete wavelet multiresolution. The dominant time and space particle distribution characteristics for a specific frequency level were visualized.Figure optionsDownload full-size imageDownload as PowerPoint slideResearch Highlight► The intrinsic fluctuation features of particle distribution in a CFB were analyzed. ► Dominant time-space characteristics for specific frequency levels were visualized. ► Dominant fluctuation always emerged at high frequency level in time domain. ► In space domain, fluctuation at middle space frequency level is dominant. ► Particle aggregation was restricted for a center-side airflow rate ratio of 1:4.
