Laser ultrasound wave pattern analysis for efficient defect detection in samples with curved surfaces.

ABSTRACT: Many production processes involve curved sample surfaces, such as welding or additive manufacturing. These pose new challenges to characterization methods for quality inspection, which are usually optimized for flat extended sample geometries. In this paper, we present a laser ultrasound (LUS) method that can be used to efficiently detect defects (e.g., voids), without extensive scanning effort and without a prior knowledge of the defect location, in finite samples with curved surfaces. The developed method starts with generalized simulations of the LUS wave patterns in samples with varying radii of curvature and width as well as varying excitation size and mechanism (thermoelastic or ablative). Based on the wave pattern analysis, it is possible to predict how every point in the weld can b

SUBMITTER: Saurer M 

PROVIDER: S-EPMC11483478 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature