Date of Award

2024

Document Type

Thesis

Degree Name

Master of Science in Engineering (MSE)

Department

Mechanical and Aerospace Engineering

Committee Chair

Phillip Ligrani

Committee Member

Haiyang Hu

Committee Member

Hallie Collopy

Research Advisor

Phillip Ligrani

Subject(s)

Turbines--Blades--Aerodynamics, Surface roughness, Additive manufacturing

Abstract

Additive manufacturing (AM) allows the production of high strength and high temperature alloys to increase the operational temperature of turbines and other engine components. AM inherently has high surface texturing, inclusive of waviness due to the layering effect in the laser powder bed fusion (L-PBF) process, and roughness due to surface defects such as partially sintered powder, deep notches, and micro-cracks. This thesis investigates how different surface treatments affect the surface static pressure variations and wake aerodynamic loss characteristics for each blade. A supersonic transonic blow down wind tunnel with a linear cascade test section is used to acquire this experimental data. Each blade is instrumented with 22 pressure taps along the 50% to measure surface static pressure, while a motorized traverse sweeps a pitot static pressure probe through the wake 0.25Cx downstream of the cascade. Downstream wake aerodynamic profiles for the blades with lower magnitudes of surface roughness evidence larger magnitudes of loss parameters, which are spread over larger areas, compared to distributions associated with higher roughness configurations. Blade wakes associated with higher Ra and ks/Cx values are also generally asymmetric and additionally experience a lower decrease in local Mach number throughout the wake.

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