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Computational Optimization & Experimental Validation of Gas Turbine Cooling Configurations

PI Mark Ricklick

Optimization techniques have recently matured to the point that they can be routinely utilized in the design process, particularly when coupled with Computer Aided Engineering tools. With respect to gas turbine cooling design methods, optimization tools allow the engineer to develop configurations which promote high levels of heat removal, while minimizing parasitic losses.

Through this project, we intend to develop novel cooling geometries such a turbulence promoting surface features and impingement channel configurations, such that higher gas turbine inlet temperatures can be realized. This project will take advantage of computational simulation tools, coupled with optimization methods, in order to develop these configurations. In order to overcome the accuracy limitations often encountered with simulation methods, optimum designs will be validated experimentally.

Research Dates

01/05/2014

Researchers

  • Mark Ricklick

    Mark Ricklick

    Department
    Aerospace Engineering Department
    Degrees
    Ph.D., University of Central Florida

Categories: Faculty-Staff