Abstract
Taking the two-phase flow mixing process in the top-blown gas stirred tank as the research object, a new strategy extracting the chaotic characteristics of the two-phase mixing state is proposed. By quantifying the local mixing characteristics in the top-blown metallurgical furnace stirring simulation reactor, a new chaos detection method combining complete ensemble empirical modal decomposition with adaptive noise (CEEMDAN) and 0–1 test is introduced to characterize the chaotic characteristics of mixing index time series. The results show that (1) the uniformity coefficient (E) is better than the Betti number in quantifying the mixing uniformity of the two-phase flow. (2) Emax can better quantify the uniformity of two-phase mixing. (3) The mixing time can be decreased when the optimal gas flow rate and the length of the submerged pipeline are correctly selected. (4) By using the CEEMDAN to decompose the time series, the chaotic characteristics of different IMF components under different working conditions can be observed straightforwardly. (5) The difference of chaotic degree in different mixing processes can be more accurately characterized. The investigation reference on the flow and mixing characteristics of the top-blown metallurgical furnace can be provided further.
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