Dynamic Behavior of Chemical Reactors

分析化学反应器动力学中发生的化学和物理过程，除了解释基本现象外，还有实际用途。了解这些过程并能够确定控制参数对于工业反应器的设计和放大是必要的。该研究项目是首席研究员对电化学反应器非稳态行为研究的延续。这样的系统对于反应动力学的基础研究是理想的，因为它们是相对平稳的（它们在动力学的时间尺度上有较少的漂移），并且它们表现出许多类型的有趣的动力学行为，如复杂的周期振荡，低阶混沌，准周期性等。参数很容易控制（例如电势或电流），因此可以研究状态之间的转换。本项目将利用电化学反应研究几种动态现象。研究将包括表面模式和时空行为的关系，从低阶混沌到更复杂现象的转变，耦合系统，以及状态间分叉的研究。实验工作将涉及金属的电溶解、电沉积和电催化反应。结果将使用非线性动力学（包括神经网络）的方法进行分析，并将实验数据与模型预测进行比较。

Analyzing the chemical and physical processes occurring in chemical reactor dynamics has practical uses over and above the elucidation of fundamental phenomena. An understanding of these processes and being able to determine the controlling parameters is necessary for design and scaleup of industrial reactors. This research project is a continuation of the principal investigator's work on the unsteady state behavior of electrochemical reactors. Such systems are ideal for fundamental studies of reaction dynamics because they are relatively stationary (they have less drift over the time scale of the dynamics) and they exhibit many types of interesting dynamic behavior such as complex periodic oscillations, low order chaos, quasiperiodicity, etc. The parameters are easily controlled (potential or current, for example) so that transitions among states can be investigated. In this project several dynamic phenomena will be studied using electrochemical reactions. The studies will include surface patterns and the relationship of temporal and spatial behavior, transitions from low order chaos to more complex phenomena, coupled systems, and studies of bifurcation among states. The experimental work will involve electrodissolution of metals, electrodeposition, and electrocatalytic reactions. The results will be analyzed using methods from nonlinear dynamics (including neural networks) and will compare experimental data with model predictions.