Publication Type
Conference Paper
Book Title
AISTech 2024 — Proceedings of the Iron & Steel Technology Conference
Publication Date
Page Numbers
168 to 176
Publisher Location
Ohio, United States of America
Conference Name
AISTech Technology Conference 2024
Conference Location
Columbus, Ohio, United States of America
Conference Sponsor
AIST
Conference Date
-
Abstract
As part of a DOE-supported research effort, Purdue University Northwest researchers are collaborating with Oak Ridge National Laboratory and United States Steel Corporation to develop a tool to provide blast furnace operators and engineers with process performance insight comparable to high-fidelity computational fluid dynamics modeling, accelerated to provide “what-if” scenarios at near-real-time speed. This is accomplished by pre-simulating a baseline case and a range of potential operating scenarios to establish how the furnace responds to changing inputs, then training a neural network-based Reduced Order Model to accelerate the speed at which predictions of key parameters can be generated.
