2002
DOI: 10.1115/1.1509077
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Experimental Investigation of Unsteady Flow Field Within a Two-Stage Axial Turbomachine Using Particle Image Velocimetry

Abstract: Detailed measurements of the flow field within the entire 2nd stage of a two-stage axial turbomachine are performed using particle image velocimetry. The experiments are performed in a facility that allows unobstructed view on the entire flow field, facilitated using transparent rotor and stator and a fluid that has the same optical index of refraction as the blades. The entire flow field is composed of a “lattice of wakes,” and the resulting wake-wake and wake-blade interactions cause major flow and turbulenc… Show more

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Cited by 55 publications
(9 citation statements)
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“…For each measurement window and each phase, 1000 image pairs are recorded to obtain converged statistics [22,23].…”
mentioning
confidence: 99%
“…For each measurement window and each phase, 1000 image pairs are recorded to obtain converged statistics [22,23].…”
mentioning
confidence: 99%
“…[8][9][10][11][12][13] However, most of the data have been constrained by optical obstructions due to the complex geometry of turbomachines. Uzol et al [14][15][16] and Chow et al [17][18][19] have recently introduced a two-stage axial-turbomachine facility with transparent acrylic blades whose optical refractive index matches that of the working fluid, enabling unobstructed PIV measurements. Resulting complete two-dimensional ͑2-D͒ data sets, which cover an entire stage, have been used for examining the turbulent flow structures generated by bladewake and wake-wake interactions.…”
Section: Introductionmentioning
confidence: 98%
“…Resulting complete two-dimensional ͑2-D͒ data sets, which cover an entire stage, have been used for examining the turbulent flow structures generated by bladewake and wake-wake interactions. [15][16][17][18][19] Some of these data are analyzed in this paper.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, recently some researchers have studied these experimentally and numerically [14][15][16][17]. This paper also attempts to address these deficiencies to contribute to the modeling development.…”
Section: Introductionmentioning
confidence: 99%