Characterization of bolted joint surface enabled by multimodal measurement

Rufei Zou; Qini Ge; Yuexiang Peng

doi:10.1117/12.2675389

9 August 2023 Characterization of bolted joint surface enabled by multimodal measurement

Rufei Zou, Qini Ge, Yuexiang Peng

Proceedings Volume 12621, Multimodal Sensing and Artificial Intelligence: Technologies and Applications III; 1262112 (2023) https://doi.org/10.1117/12.2675389
Event: SPIE Optical Metrology, 2023, Munich, Germany

Abstract

Stress-strain detection of scattering materials, such as metal surfaces, is an unavoidable issue during bolt assembly monitoring; conventional strategies of laser morphology will be limited by scattering illumination. Contact and marked measurement have been considered as acceptable solutions for long time. Herein, we implement the multimodal characterization for bolted joint surface. A reflection digital holographic microscope (RDHM) has been combined with laser triangulation measurement for achieving quantitative micro-deformation description of the connecting region between bolts and metal plate. The calibrated laser triangulation instrument is installed on the electronically controlled translation platform for two-dimensional scanning. A structure extraction algorithm is proposed to realize fast 3D reconstruction of the scanned area. The profiles obtained by triangulation are used, as ground truth, to calibrate the measured reflective holographic morphology. Affected by the strong scattering from the metal surface, it is difficult to completely characterize the metal surface by the single shot holographic measurement results. But considering that the spatial resolution requirement of strain measurement is low during bolt installation, holographic measurement will be an excellent compromise with high temporal resolution. In this case, the triangulation will complement digital holography well. Therefore, the strategy of mixing the two methods will become a preferred solution in near future.

Conference Presentation

Citation Download Citation

Rufei Zou, Qini Ge, and Yuexiang Peng "Characterization of bolted joint surface enabled by multimodal measurement", Proc. SPIE 12621, Multimodal Sensing and Artificial Intelligence: Technologies and Applications III, 1262112 (9 August 2023); https://doi.org/10.1117/12.2675389

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