Dynamic Behavior of Chemical Reactors

分析化学反应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。对于工业反应堆的设计和放大来说，了解这些过程并能够确定控制参数是必要的。本研究项目是电化学反应器非稳态行为主要研究人员工作的继续。这种系统是反应动力学基础研究的理想选择，因为它们相对稳定(它们在动力学的时间尺度上漂移较小)，并且它们表现出许多类型的有趣的动态行为，例如复杂的周期振荡、低阶混沌、准周期性等。例如)，以便可以研究状态之间的转换。在这个项目中，我们将利用电化学反应来研究几种动力学现象。这些研究将包括表面模式和时间和空间行为的关系，从低阶混沌到更复杂现象的转变，耦合系统，以及状态之间的分叉研究。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.