论文标题
通过声学反馈控制云空气气泡的动力学
Controlling the dynamics of cloud cavitation bubbles through acoustic feedback
论文作者
论文摘要
云空化导致液体中的非平凡能量浓度和声学屏蔽，由于气泡云的复杂动力学，其控制是长期存在的挑战。我们提出了一个新的框架，可以通过声学反馈来研究对空化的闭环控制。尽管以前的方法使用经验阈值，但我们采用基于模型的状态估计基于理论和高性能计算的相干气泡动力学。使用脉冲超声设置，我们演示了对脉冲重复频率（PRF）的设定点控制，以调节$ O（100）$ s的固体目标附近的声气膜。我们确定了PRF与气泡动力学之间的准平衡相关性，以及最佳的PRF，以最大程度地减少目标的声学屏蔽。通过增强的声感应和计算能力可以轻松地扩展该框架。
Cloud cavitation causes nontrivial energy concentration and acoustic shielding in liquid, and its control is a long-standing challenge due to complex dynamics of bubble clouds. We present a new framework to study closed-loop control of cavitation through acoustic feedback. While previous approaches used empirical thresholding, we employ model-based state estimation of coherent bubble dynamics based on theory and high-performance computing. Using a pulsed ultrasound setup, we demonstrate set-point control of the pulse repetition frequency (PRF) to modulate acoustic cavitation near a solid target over $O(100)$ s. We identify a quasi-equilibrium correlation between PRF and the bubble dynamics, and an optimal PRF to minimize acoustic shielding of the target. This framework can be readily scaled up by enhanced acoustic sensing and computational power.
