Determination of a scalable Nusselt number (based on “adiabatic heat transfer coefficient”) has been the primary objective of the most existing heat transfer experimental studies. Based on the assumption that the wall thermal boundary conditions do not affect the flow field, the thermal measurements were mostly carried out at near adiabatic condition without matching the engine realistic wall-to-gas temperature ratio (TR). Recent numerical studies raised a question on the validity of this conventional practice in some applications, especially for turbine blade. Due to the relatively low thermal inertia of the over-tip-leakage (OTL) flow within the thin clearance, the fluids' transport properties vary greatly with different wall thermal boundary conditions and the two-way coupling between OTL aerodynamics and heat transfer cannot be neglected. The issue could become more severe when the gas turbine manufacturers are making effort to achieve much tighter clearance. However, there has been no experimental evidence to back up these numerical findings. In this study, transient thermal measurements were conducted in a high-temperature linear cascade rig for a range of tip clearance ratio (G/S) (0.3%, 0.4%, 0.6%, and 1%). Surface temperature history was captured by infrared thermography at a range of wall-to-gas TRs. Heat transfer coefficient (HTC) distributions were obtained based on a conventional data processing technique. The profound influence of tip surface thermal boundary condition on heat transfer and OTL flow was revealed by the first-of-its-kind experimental data obtained in the present experimental study.
Experimental Evidence of Temperature Ratio Effect on Turbine Blade Tip Heat Transfer
Manuscript received January 25, 2018; final manuscript received October 17, 2018; published online November 28, 2018. Assoc. Editor: Cengiz Camci.
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Jiang, H., Zhang, Q., He, L., Lu, S., Wang, L., and Teng, J. (November 28, 2018). "Experimental Evidence of Temperature Ratio Effect on Turbine Blade Tip Heat Transfer." ASME. J. Turbomach. December 2018; 140(12): 121010. https://doi.org/10.1115/1.4041811
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