New thermal barrier coating (TBC) materials can be tested for mechanical, physical, and chemical properties by altering the bond coat and top coat compositions. Current studies on TBCs are usually performed by trial-and-error approach. As the trial-and-error process is usually very expensive and time consuming, the Louisiana State University and Southern University team proposes to design a high performance TBC with enhanced top and bond coat through a reliable and efficient theoretical/computational approach. This can be used systematically to identify promising TBC bond coat and top coat compositions. Using high performance computing (HPC) simulations, an ab initio (i.e., from first principles) molecular dynamics (MD)-based design tool can screen and identify TBC systems with desired physical properties. Such computations work from basic or fundamental laws of nature to derive effects without intervening assumptions or special models, in principle producing well-founded results. The new TBC systems will be demonstrated experimentally under IGCC environments.
This project will utilize a theoretical/computational approach to design a high performance thermal barrier coating (TBC) with enhanced top and bond coat. Turbine materials research seeks to improve coating materials that will allow for higher temperature operation and increased durability leading to increased turbine efficiency and reduced maintenance. Specifically, this project will use an ab initio (i.e., from first principles) molecular dynamics-based design tool to screen and identify TBC systems with desired physical properties, using high performance computing (HPC) simulations, to eliminate the need for expensive and time-consuming trial-and-error processes.
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