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3D Scanner - Astrophysics Data System

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Last Updated: 10 November 2022

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Detecting Defects in Composite Polymers by Using 3D Scanning Laser Doppler Vibrometry

The technology of 3D scanning laser Doppler vibrometry has recently emerged as a promising tool for nondestructive testing of discontinuity-like defects in composite polymers. The LDR method's nondestructive character is provided by the resonance acoustic stimulation of structural defects in materials, which are generally lower than the material's tensile strength. The propagation of elastic waves in composites and their interaction with structural homogeneities were investigated in this study by 3D scanning of vibrations in Fast Fourier Transform mode. The resonance frequencies for both components were similar in the case of a reference plate with a flat bottom hole. Compression/tension deformations were the most significant factor in total vibrations in a carbon fiber reinforced plastic sample, relative to z coordinate vibrations.

Source link: https://ui.adsabs.harvard.edu/abs/2022Mate...15.7176D/abstract


Calibration of 3D scan trajectories for an industrial computed tomography setup with 6-DOF object manipulator system using a single sphere

Tomography, industrial x-ray computed tomography, the introduction of more complex scan paths in comparison to a circular trajectory would increase the possibility of CT. One way to achieve such 3D scan trajectories is to use a 6-degrees-of-freedom object manipulator device. The hexapod coordinate system with respect to the CT machine coordinate system is determined by a one-step optimization approach using the CT device's intrinsic geometry parameters as prior notice. For the new setup, geometric analysis results for 3D scan trajectories that have been calibrated with the new technology show in sum, estimated errors increased compared to circular scans. The calibration procedure can also be a low-cost, quicker to implement alternative to trajectory calibration methods based on multi-sphere objects, but with a tendency toward lower measurement accuracy.

Source link: https://ui.adsabs.harvard.edu/abs/2023MeScT..34a5403B/abstract


Extrinsic calibration method for 3D scanning system with four coplanar laser profilers

3D scanning is a critical step in ensuring the machine quality of the workpiece's manufacturing process, and it is a vital component of advanced manufacturing. However, most modern scanning services only have one profiler, which must be used with a flexible tracking device to get a complete scan of a workpiece. An effective and high-accuracy 3D scanning device made of a linear translation stage and four uniformly distributed laser profilers is developed in this article, and its extrinsic calibration method is investigated. All extrinsic parameters are appropriately calibrated at the same time, by simultaneously using all data from the various profilers and the spherical constraint of each TB. Experimental findings show that the average probing size error of the TB with a 38. 1 mm diameter is stable at around 0. 007 mm, though extended uncertainty is about 0. 100 mm.

Source link: https://ui.adsabs.harvard.edu/abs/2023MeScT..34a5906Z/abstract


Advances in Optomechatronics: An Automated Tilt-Rotational 3D Scanner for High-Quality Reconstructions

3D vision systems are becoming more popular in a multitude of industries, mainly for mechanical and medical use. Automatic tilt-rotation mechanical positioning system with the following key advantages: Configurability for various object sizes, high precision, and resolution standards, as well as the ability to produce the mesh representing the full scan images without the operator's involvement.

Source link: https://ui.adsabs.harvard.edu/abs/2018Photo...5...42L/abstract


Artificial Intelligence and 3D Scanning Laser Combination for Supervision and Fault Diagnostics

We combine some of the most advanced artificial intelligence techniques with a range-resolved interferometry device used to repair a wind turbine in this book. RRI in-process measurements, as well as laser scanning in-process measurements, confirm with in-process hand measurements of on-machine micrometers and laser scanning in-process measurements following each working cycle. As a result, the new strategy may be extremely useful for supervising and detecting wind turbine failures in harsh environments.

Source link: https://ui.adsabs.harvard.edu/abs/2022Senso..22.7649V/abstract


A Point Cloud Simplification Algorithm Based on Weighted Feature Indexes for 3D Scanning Sensors

Nonuniform simplification, a poor representation of point cloud attributes, unreasonable weight delivery, and high computational complexity are all issues that plague conventional point cloud simplification algorithms. The point cloud is arranged with a bounding box and kd-trees to determine the neighborhood around each point, and the points are broken into small segments. The feature index of each point is used to determine the points' characteristics. 3D model scanning datasets are calculated and analyzed to see the effect of the MIWSA's MIWA, as well as field area scanning results. The reliability of the 3D model scanning datasets is determined by the surface area and patch numbers of the encapsulated surfaces, as well as field area scanning results, according to the DEM error statistics. The experimental results show that the MIWSA can reduce point clouds more precisely and uniformly.

Source link: https://ui.adsabs.harvard.edu/abs/2022Senso..22.7491S/abstract


Teeth3DS: a benchmark for teeth segmentation and labeling from intra-oral 3D scans

In order to save time-consuming manual adjustments by the dentist, a CAD system must first precisely segment and label every instance of teeth visible in the 3D dental scan. Teeth3DS, the first published benchmark, was created in the context of the 3DTeeg 2022 MICCAI challenge, to increase the study field and encourage the 3D vision research community to focus on intra-oral 3D scans analysis such as tooth identification, segmentation, labeling, 3D modeling, and 3D reconstruction.

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv221006094B/abstract

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions