Abstract:
The morphological description of wear particles in lubricating oil is crucial for wear state monitoring and fault diagnosis in aero-engines. Accurately and comprehensively acquiring three-dimensional (3D) morphological data of these particles has become a key focus in wear debris analysis. Herein, we develop a novel multi-view polarization-sensitive optical coherence tomography (PS-OCT) method to achieve accurate 3D morphology detection and reconstruction of aero-engine lubricant wear particles, effectively resolving occlusion-induced information loss while enabling material-specific characterization.
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