Raytheon Technologies has partnered with the Department of Energy's Argonne National Laboratory in Illinois to support research work meant to inform the development of aircraft engine components.
Argonne said Monday it will work with Raytheon's research center to leverage machine-learning algorithms to simulate fluid dynamics as part of the cooperative research and development agreement.
The team will deploy modeling techniques to visualize airflow and coolant mixing behavior that impact the near-wall and high-pressure environments of aircraft engines.
Data generated from the simulation tools will be used to train spatial emulators driven by deep learning to visualize heat transfer mechanics.
“The overarching goal of this project is geared towards optimizing the combustor and turbine cooling designs for modern engines,“ said Pinaki Pal, a research scientist at Argonne.
Peter Cocks, principal investigator and project leader at the Raytheon research center, added that his team is looking forward to working with Argonne in optimizing gas turbine engine designs to address energy efficiency needs in thermal management.
Argonne and Raytheon will utilize the Theta supercomputing system housed in Argonne’s Leadership Computing Facility as part of the effort.