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Measuring Surface Pressure on Rotating Compressor Blades Using Pressure Sensitive Paint
Markus Pastuhoff1, Nils Tillmark2, P Henrik Alfredsson3
1Competence Center for Gas Exchange (CCGEx), KTH Mechanics, SE-100 44 Stockholm, Sweden. markuspa@mech.kth.se.
This study used fast-response pressure-sensitive paint (PSP) to map surface pressure on radial compressor blades. The technique successfully detected pulsating flow frequencies during compressor surge.
Area of Science:
- Aerospace Engineering
- Fluid Dynamics
- Experimental Mechanics
Background:
- Radial compressors are critical components in many aerospace and industrial applications.
- Accurate surface pressure measurement is essential for understanding compressor performance and validating computational fluid dynamics (CFD) models.
- Traditional pressure measurement techniques can be intrusive or lack the spatial and temporal resolution required for complex flows.
Purpose of the Study:
- To apply a fast-response pressure-sensitive paint (PSP) technique for non-intrusive surface pressure measurement on radial compressor blades.
- To acquire detailed surface pressure distributions across various operating conditions of the compressor.
- To validate CFD simulations and investigate flow phenomena, including surge, using experimental data.
Main Methods:
- Utilized a fast-response PSP with a diode laser illumination and photomultiplier detection system.
- Employed the "lifetime method" for pressure-sensitive paint measurements.
- Acquired surface pressure data at eight distinct points within the compressor map at rotational speeds up to 50 krpm.
Main Results:
- Successfully mapped surface pressure fields on the compressor blades.
- Demonstrated the capability of PSP to capture high-frequency pressure variations (up to several kHz).
- Identified the pulsating flow frequency characteristic of compressor surge through frequency spectrum analysis.
Conclusions:
- Fast-response PSP is a viable and effective technique for non-intrusive, high-resolution surface pressure measurements in rotating machinery like radial compressors.
- The acquired data provides valuable insights into compressor aerodynamics and serves as a crucial dataset for CFD model validation.
- The method's ability to detect surge frequencies offers a new avenue for studying and mitigating unstable flow conditions.
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