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    A Probabilistic Approach to Turbine Uncertainty 

    Source: Journal of Turbomachinery:;2023:;volume( 146 ):;issue: 004:;page 41009-1
    Author(s): Bhatnagar, Lakshya; Paniagua, Guillermo; Clemens, Eugene; Bloxham, Matthew
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Efficiency is an essential metric for assessing turbine performance. Modern turbines rely heavily on numerical computational fluid dynamics (CFD) tools for design improvement. With more compact turbines leading to lower ...
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    Comprehensive Experimental Assessment of Unsteady Pressure and Heat Flux in a Small-Core Turbine Over-Tip Shroud 

    Source: Journal of Engineering for Gas Turbines and Power:;2024:;volume( 147 ):;issue: 007:;page 71001-1
    Author(s): Sauca, Antonio Castillo; Bhatnagar, Lakshya; Inhestern, Lukas Benjamin; Paniagua Perez, Guillermo
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: For novel high-speed small core turbines, with tip clearance below 0.5 mm, even small blade-to-blade tip clearance variation is significant. The assessment of these complex flows is pertinent to the design of the next ...
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    Development of a Lifetime Pressure Sensitive Paint Procedure for High-Pressure Vane Testing 

    Source: Journal of Turbomachinery:;2022:;volume( 144 ):;issue: 005:;page 51005-1
    Author(s): Aye-Addo, Papa Aye N.; Paniagua, Guillermo; Cuadrado, David G.; Bhatnagar, Lakshya; Castillo Sauca, Antonio; Braun, James; Gomez, Mateo; Meyer, Terrence; Bloxham, Matthew
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Optical measurements based on fast response pressure sensitive paint (PSP) provide enhanced spatial resolution of the pressure field. This paper presents laser lifetime PSP at 20 kHz, with precise calibrations, and results ...
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    Particle Image Velocimetry in a High-Pressure Turbine Stage at Aerodynamically Engine Representative Conditions 

    Source: Journal of Engineering for Gas Turbines and Power:;2021:;volume( 143 ):;issue: 006:;page 061031-1
    Author(s): Inman, Daniel; Cuadrado, David G.; Andreoli, Valeria; Fisher, Jordan; Paniagua, Guillermo; Aye-Addo, Papa Aye N.; Bhatnagar, Lakshya; Lozano, Francisco; Meyer, Terrence; Bloxham, Matthew
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Particle image velocimetry (PIV) is a well-established technique for determining the flow direction and velocity magnitude of complex flows. This paper presents a methodology for executing this nonintrusive measurement ...
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