Autonomous, flexible and controllable generation of finest droplets

该建议的目的是找到一种用于液滴发生器系统的驱动参数的估计方法，以产生比喷嘴直径小得多的液滴。因此，自主控制的压电液滴发生器系统被设计为执行实验，并且基于精确再现的液滴发生器的几何形状的压力分布的局部解析模拟用于流体室内的动力学机制的调查。其动机是从各种流体中产生具有不同直径的液滴。该技术可以应用于，例如，自适应控制系统由多个传感器（压电致动器的反馈信号、检测卫星液滴的CCD相机、评估稳定性和液滴直径的微型PDA）组成，并自主驱动压电发生器的参数范围以获得单分散液滴。控制系统的模型是基于神经模糊方法和它的再现性，稳定性，和dynamics.The底层的流体动力学关系进行了检查，通过高分辨率的CFD模拟与准确的知识的材料和几何形状的液滴发生器。在实验中发现的驱动信号被施加作为流体动力学系统的激励，以调查和分类的物理现象，并根据流体的参数导出不同的液滴直径的产生的关系和规则。

The aim of this proposal is to find an estimation method for the driving parameters of a droplet generator system to generate much smaller droplets than the nozzle diameter. Therefore, an autonomously controlled piezoelectrical droplet generator system is designed to perform experiments, and locally resolved simulations of the pressure distribution based on a precise reproduction of the geometry of the droplet generator serve for the investigation of the dynamical mechanisms within the fluid chamber. The motivation is to generate droplets with different diameters from a variety of fluids. This technique can be applied, e.g., in Additive Manufacturing as well as in research.The adaptive control system consists in several sensors (feedbach signal of the piezo actuator, CCD camera to detect satellite droplets, miniature PDA to evaluate stability and droplet diameter) and drives autonomously the parameter range of the piezo generator to get monodisperse droplets. The model of the control system is based on neuro-fuzzy methods and its reproducibility, stability, and dynamic are investigated.The underlying fluid dynamical relations are examined by high resolution CFD simulations with exact knowledge of materials and geometry of the droplet generator. The driving signals found in the experiments are applied as excitations of the fluid dynamical system to investigate and classify the physical phenomenon and to derive relations and rules for the generation of different droplet diameters depending on the parameters of the fluid.