Abstract Micro‐fluidized beds significantly enhance mass and heat transfer efficiency in gas–liquid–solid catalytic reaction systems due to their high specific surface area characteristics. However, scale effects often induce bubble coalescence and promote slugging tendencies. To address these limitations, this study utilizes a microporous distributor with apertures smaller than the particle size to compartmentalize conventional miniaturized fluidized beds, accordingly constructing a novel miniaturized confined fluidized bed. Furthermore, by employing a triple analysis framework integrating power spectral density, wavelet decomposition, and K ‐means clustering, the bubble dynamics within the confined gas–liquid–solid micro‐fluidized bed are quantitatively characterized. Based on the extracted bubble dynamics characteristics, thresholds for classing bubble motion states in the confined micro‐fluidized bed are summarized. Additionally, K ‐means clustering is utilized to objectively analyze geometric and operational parameters on bubble dynamics features, enabling the partitioning of operating gas‐velocity regimes corresponding to different bubble motion states without subjective human influence.
Zhang et al. (Fri,) studied this question.