Modeling and Simulation of Ethylene Oxidation in a Catalytic Fixed Bed Reactor Using COMSOL Multiphysics -Ann Method

The purpose of this report is to discuss the research done and basic understanding
of the topic Modeling and Simulation of Ethylene Oxidation in a Catalytic Fixed Bed
Reactor Using COMSOL Multiphysics -Ann Method. The objective of this project is
to develop a neural network system for ethylene oxidation in a catalytic fixed bed reactor.
The COMSOL and MATLAB are the software used for this simulation. The scope of
study for this project is to model the catalytic fixed bed reactor using COMSOL and train
the neural network by using MATLAB software. The network will be trained using data
obtained from COMSOL which has been verified by experimental data so that it can
predict as close as possible to the actual behavior of the reactor. Finally, the output of the
trained neural network will be represented in Graphical User Interface (GUI)