Mathematical Modeling of the Electro-Oxidation Process

The electro-oxidation (EO) process has received much attention in recent years because it can be used as an alternative to traditional wastewater treatment methods with increased flexibility. In this chapter, details, and fundamentals of different modeling approaches, including phenomenological, Response Surface Methodology (RSM), and Artificial Neural Networks (ANNs), used for the EO process are provided. Kinetic analysis of the EO process is also reviewed. Identifying the design variables that have the most impact on the EO process and calculating the response variables are the main goals of the Design of Experiment (DoE). The most used DoE methods for EO processes are factorial design, central composite design, Box-Behnken design, Taguchi's design, and Doehlert design.