Lagrangian wavelet analysis of turbulence modulation in particle–liquid mixing flows

A new experimental–theoretical framework has been developed to investigate turbulence and modulation in a two-phase multicomponent particle–liquid flow mechanically agitated vessel. discrete wavelet transform is used decompose long-term three-dimensional Lagrangian trajectories of phases, acquired by technique positron emission particle tracking, into their deterministic stochastic sub-trajectories. The sub-trajectories are then construct the different-scale local velocity turbulent kinetic energy (TKE) fields flow. effects size distribution mode (mono, binary, polydisperse), concentration, impeller agitation speed, pumping on intensity investigated. Amongst these factors, size, mode, have significant impact liquid turbulence. presence large particles enhances broadens region vessel characterized high TKE values. Results also show that down-pumping pitched-blade turbine generates significantly greater maxima field, which tend be more localized discharge stream. In addition, binary or polydisperse suspensions containing higher fractions larger produce intensities carrier phase. detailed information obtained crucial for better understanding dynamics flows inside mixing vessels aid rational design units.