Supervised by Dr. Christopher L.E. Swartz
Optimization of Dynamic Systems
email@example.com | JHE-370B
MACC Researcher since Jan 2020
Department of Chemical Engineering
B.Sc. Chemical Engineering, Federal University of Goias, Brazil.
M.A.Sc. Chemical Engineering, McMaster University, Canada
Analyst, EPHAR Development and Innovation, Brazil
Analyst, Halex Istar Pharmaceutical Industry Ltd., Brazil.
Dynamic Optimization of Basic Oxygen Furnace (BOF)
Most of the steel industries in the world use a Basic Oxygen Furnace (BOF) to remove carbon from molten iron. One of the main challenges in this process is to determine the necessary process conditions to achieve the desired end carbon content. In that line, a lot of money and time is lost due to over-processing and reprocessing. Therefore, a model that can be used to define the best set of process conditions that minimizes cost while meeting the required end temperature and carbon content would significantly improve the BOF furnace operation. The objective of this research is to develop an optimization model for the BOF furnace, and then use it to define the best set of operations conditions to obtain a product within the required specifications and at the lowest possible cost.