Accuracy Evaluation of Dense Matching Techniques for Casting Part Dimensional Verification

Sensors

Rikardo Minguez¹  Gorka Kortaberria²  Unai Mutilba²  Eneko Gomez-Acedo²  Alberto Tellaeche³ 

[1] Department of Graphic Design and Engineering Projects, University of the Basque Country, 48013 Bilbao, Spain;Department of Mechanical Engineering, IK4-Tekniker, 20600 Eibar, Spain;Department of Smart and Autonomous Systems, IK4-Tekniker, 20600 Eibar, Spain;

关键词: point cloud;    uncertainty;    dense matching;    photogrammetry;    inspection;    multi-view stereo;    structure from motion;   

DOI  :  10.3390/s18093074

来源: DOAJ

【 摘 要 】

Product optimization for casting and post-casting manufacturing processes is becoming compulsory to compete in the current global manufacturing scenario. Casting design, simulation and verification tools are becoming crucial for eliminating oversized dimensions without affecting the casting component functionality. Thus, material and production costs decrease to maintain the foundry process profitable on the large-scale component supplier market. New measurement methods, such as dense matching techniques, rely on surface texture of casting parts to enable the 3D dense reconstruction of surface points without the need of an active light source as usually applied with 3D scanning optical sensors. This paper presents the accuracy evaluation of dense matching based approaches for casting part verification. It compares the accuracy obtained by dense matching technique with already certified and validated optical measuring methods. This uncertainty evaluation exercise considers both artificial targets and key natural points to quantify the possibilities and scope of each approximation. Obtained results, for both lab and workshop conditions, show that this image data processing procedure is fit for purpose to fulfill the required measurement tolerances for casting part manufacturing processes.

【 授权许可】

Unknown