Assistance to Automatic Digitizing System Selection for 3D Part Inspection

Author:

Audfray Nicolas1,Mehdi-Souzani Charyar2,Lartigue Claire3

Affiliation:

1. ENS Cachan - Université Paris Sud, Cachan, France

2. IUT St-Denis - Université Paris 13, Saint-Denis, France

3. IUT Cachan - Université Paris Sud, Cachan, France

Abstract

To perform 3D inspection, the most common digitizing system is a coordinate measuring machine (CMM) equipped with a touch trigger probe. Because of their large time consuming, a large number of industrial digitizing systems presenting different characteristics have recently emerged, but collected data quality strongly depends on the sensor technology combined with the associated displacement system. The works presented here focus on a novel approach that help users to select the most appropriate digitizing system in regard of the specification to be verified. This selection is performed in two steps: an ability selection that removes non convenient systems and a performance selection to select the system that provides sufficient data quality in the minimum time. This quality can be noise, trueness, density, depending on the specification to be verified. To store all necessary information, databases that contain intrinsic and qualified information have been developed. An example with GPS specifications is treated.

Publisher

American Society of Mechanical Engineers

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Simulation tool for validating 3D scan path planning by evaluating measurement quality;The International Journal of Advanced Manufacturing Technology;2024-07-20

2. Computer-Aided Inspection Planning: A Multisensor High-Level Inspection Planning Strategy;Journal of Computing and Information Science in Engineering;2019-02-04

3. Combining a Touch Probe and a Laser Sensor for 3D Part Inspection on CMM;Procedia CIRP;2018

4. Conversion of 3D scanned point cloud into a voxel-based representation for crankshaft mass balancing;The International Journal of Advanced Manufacturing Technology;2017-11-09

5. Evaluation of the shape deviation of non rigid parts from optical measurements;The International Journal of Advanced Manufacturing Technology;2016-05-26

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