Fluid-induced transport dynamics and vibration patterns of multiphase vortex in the critical transition states

Abstract

The utilization of nonlinear vibration patterns in fluid-structure coupling dynamics systems is a potential strategy for real-time sensing technologies of microfluidic devices. In the systems with multiphase transport and random impulse excitation, however, the critical transition detection of the multiphase vortex coupling transport (MVCT) still faces significant challenges. Here, we demonstrate the potential of using fluid-structure sensing technology for identifying the nonlinear vortex-induced vibration patterns, and develop the multi-channel observation-sensing integration platform based on the high-precision multi-view particle image velocimetry and multifunction vibration sensing systems to recognize the MVCT critical penetration condition. A multiphase vortex-induced vibration modeling and sensing method coupled with the Rankin vortex-Helmholtz equation, Flügge displacement equation, and residue theorem solution strategy are presented to explore MVCT-induced nonlinear vibration patterns. An improved wavelet transforms sensing method is proposed to recognize the transient distortion dynamic attribute in the critical transition states. The proposed sensing platform and modeling method have more effectively proved the energy shock evolution mechanism controlled by the Ekman suction effect and obtained nonlinear vibration pattern regularities in the MVCT critical transition. Our observation unveils that MVCT-induced vibration dynamic behaviors exhibit the most significant distortion energy peak and complicated nonlinear pulse characteristics in critical transition states. This work has realized the accurate identification of critical transition states of the MVCT-induced vibration patterns and laid a development foundation for the nano-vortex oscillators and microfluidic chips.