A knowledge database of qualified digitizing systems for the selection of the best system according to the application

Abstract

Digitizing systems are widely used in industry for applications such as Reverse Engineering or inspection. Given the diversity of solutions, the selection of the most appropriate systems for an application has become a challenging task. To be efficient, system selection must rely on a knowledge base of the digitizing system performance with regard to the given application. Within this context, this paper aims at presenting how a knowledge database of qualified digitizing systems can be established according to ability and quality criteria. The best system is afterwards obtained by optimizing a cost function built as the weighting sum of the criteria, weighting depending on the considered application. ___________________________________________________________________________

Conversion of 3D scanned point cloud into a voxel-based representation for crankshaft mass balancing

“…This simulates equivalent digitizing system levels of noise (6σ) of: 33µm, 50µm, 66µm, 83µm and 100µm, respectively. These noise levels are consistent to real 3D scanning systems [20].…”

Characterization of surface topography of 3D printed parts by multi-scale analysis

“…This is simply obtained by a sub-voxel linear interpolation. Assessment of the sub-voxel extraction considers two quality indicators, as proposed previously [15]: noise and trueness. Noise accounts for the measurement dispersion around each extracted face (a plane in practice), and trueness measures the difference between the calibrated distance and the measured distance obtained after face extraction (plane-plane distance).…”

Scanner path planning with the control of overlap for part inspection with an industrial robot

“…In order to achieve good scanning quality for the entire surface, the digitizing distance must belong to a range of admissible values, generally determined from the scanner assessment [28]. A constant scanning distance is first imposed to all the driven points to ensure that the digitized surface at the driven point is visible in the FOV of the scanner, and also to ensure an expected digitizing quality.…”

“…More precisely, we need to evaluate the range of digitizing distances allowing a good scanning quality. This is performed using the protocol QUALIPSO, detailed in [28], by measuring a reference plane. Considering the laser-line as the intersection between the reference plane and the laser-beam, the depth H, which corresponds to the height of the FOV, is the height for which the laser-line is visible in the CCD (Figure 13).…”