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CUDA (compute unified device architecture) acceleration and keypoint tracking for aero-engine blade deformation
Zelin Li1,2, Huilin Wu1,2, Chuanzhi Sun1,2
1Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin 150080, China.
Abstract:
This paper presents a compute unified device architecture-accelerated visual method for aero-engine blade deformation measurement, addressing inaccurate checkerboard control-point localization and high digital image correlation latency. The approach employs Devernay-operator-based concentric circle edge extraction for precise binocular camera calibration and a parallel-optimized initial value search for real-time subpixel matching. Experiments using a binocular-stroboscopic system on a rotating blade show a maximum unidirectional displacement error of ≤2 μm. At 6000 rpm, peak deformations along the X, Y, and Z directions are 234, 258, and -193 μm, respectively, with a total maximum deformation of 486 μm.
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