The 8th International Conference on Modeling and Simulation of Metallurgical Processes in Steelmaking (STEELSIM 2019) took place on August 13–15 in Toronto, Ontario, Canada. AIST and the conference’s 35-member Scientific Committee assisted with organizing the symposium. According to AIST, “SteelSIM 2019 was truly global in scale, welcoming 171 attendees from 22 different countries and 98 universities and companies.” The conference underlined the importance of the continuing digital technology transformation to the steel industry. Purdue University Northwest’s significant links to steel manufacturing and to process simulation research also gleamed throughout the conference, as 12 PNW and CIVS faculty, limited-term lecturer, visiting scholar, staff, and students (5 students!) attended the conference.
Advancing modeling and simulation to meet the demands of Industry 4.0 was on the minds of many of the presentersat SteelSim 2019. The technical program consisted of three tracks, which provided a deep dive into the modeling and simulation work being done in the areas of ironmaking, steelmaking, casting, rolling, processing and the metallurgy of complex grade development.
Researchers from around the world discussed a wide spectrum of problems, from the very visible optimization of trucking distribution and traffic patterns to the
microscopic kinetics of inclusion evolution and flotation at the ladle furnace. Sessions delved into the use of advanced tools like artificial neural networks for applications such as predicting critical maintenance failures before they happen. There were also extensive discussions about the amount of computing power needed to run these sizable simulations and how to practically define the parameters of a problem.