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CHPC - Research Computing Support for the University

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CHPC - Research Computing Support for the University

In addition to deploying and operating high performance computational resources and providing advanced user support and training, CHPC serves as an expert team to broadly support the increasingly diverse research computing needs on campus. These needs include support for big data, big data movement, data analytics, security, virtual machines, Windows science application servers, protected environments for data mining and analysis of protected health information, and advanced networking. Visit our Getting Started page for more information.

ironmaker

Computational Fluid Dynamic Simulation of a Novel Flash Ironmaking Technology

The U.S. steel industry needs a new technology that produces steel from iron ore with lower greenhouse gas emission and energy consumption. At the University of Utah, Prof. Hong Yong Sohn and his team have conceived of a drastically novel idea for an alternative method called the Flash Ironmaking Technology to replace the century-old blast furnace process.  This new technology eliminates the highly problematic cokemaking and pelletization/sintering steps from the current ironmaking processes by directly utilizing iron ore concentrates, which are in abundance in the United States. 

Using CHPC resources, the Sohn group is developing high-resolution computational fluid dynamics (CFD) simulations to select the optimal operating conditions for testing and subsequently reduce the testing time and effort. Simulation results will be used to analyze the results from the flash reactors. Also of high importance, the results of the simulations will assist in the subsequent design of an industrial-scale pilot facility and eventual full-scale commercial plant.

System Status

last update: 07/28/17 4:52 am
General Nodes
system procs % util.
ember 816/912 89.47%
kingspeak 632/760 83.16%
lonepeak 256/256 100%
Restricted Nodes
system procs % util.
ash 7420/7420 100%
apexarch Status Unavailable
ember 1024/1284 79.75%
kingspeak 5164/7024 73.52%

Cluster Utilization

Last Updated: 7/26/17