We interpret experimental pressure-drop measurements from a complex gas-solids flow system in terms of recently developed methods for chaotic time-series analysis. The results strongly support the conjecture that the flow can be described by a low-dimensional strange attractor that changes as a key turbulence parameter is varied. The analysis methods also appear to permit clear separation of the chaotic and noise components in the signal.
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Daw et al. (1990) studied this question.
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