Adaptive pulsing strategy for improving gas–solid flow uniformity in fluidized beds: An Eulerian–Eulerian study

Abstract To address the poor spatial adaptability and limited control precision of conventional pulsed fluidization, an adaptive pulsing (AP) strategy based on local feedback is proposed. The strategy discretizes the flow field into control zones in one‐to‐one correspondence with individual intake units, achieving spatiotemporally coordinated control by mapping real‐time fluidization states to pulse parameters. Using a 2D Eulerian–Eulerian model, the hydrodynamic responses were compared across uniform, conventional pulsed, and AP modalities, while the sensitivity of particle transport to partition scales was explored. Results show that the AP strategy effectively suppresses flow heterogeneities and enhances gas–solid interaction. Compared to conventional intake, the AP strategy improves particle and gas velocity uniformity by 6.3% and 23%, respectively. When the control unit size is approximately three times the average bubble diameter, the system reaches an optimal balance between spatial resolution and dispersive kinetics, maximizing mixing efficiency. This work supports advancing intelligent, self‐optimizing fluidization technologies.