| Citation: | YU Mengqian, WU Wei, WU Guanhua, et al. Optimization of DR detection process parameters for aero-engine turbine blades[J]. Journal of Aerospace Power, 2023, 38（8）：1837-1845 doi: 10.13224/j.cnki.jasp.20210731
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In view of the needs of digital radiography (DR) in the industrial field to quickly select the detection process parameters to obtain high signal-to-noise ratio images, the influences of different combinations of multi-factor process parameters on the imaging results in DR detection were studied. Taking the aero-engine turbine blade as the object, the quadratic regression orthogonal rotation test method was used to establish the quadratic regression equation model between the detection image signal-to-noise ratio and the tube voltage, tube current, integration time, and different equivalent thicknesses, and the single test was carried out. The significance of the factors and the interaction among the factors on the detection image signal-to-noise ratio were also discussed. Using the manual slotted aero-engine turbine blade combined with the regression equation model, the detection image signal-to-noise ratio was used as the optimization index, the optimal combination of process parameters was obtained under the condition of known translucency thickness, and the actual value and calculated value of the signal-to-noise ratio of the detected image were compared. The results showed that the actual signal-to-noise ratio was close to the calculated value under four sets of verification tests, and the error range was 1.4%—5.5%, indicating the high reliability of the model.
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