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J. Imaging 2016, 2(1), 8; doi:10.3390/jimaging2010008

Robust 3D Object Model Reconstruction and Matching for Complex Automated Deburring Operations

Smart and Autonomous Systems Unit, IK4-Tekniker, C/Iñaki Goenaga 5, Eibar 20600, Spain
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Academic Editors: Roy Davies and Gonzalo Pajares Martinsanz
Received: 2 December 2015 / Revised: 1 February 2016 / Accepted: 4 February 2016 / Published: 16 February 2016
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Abstract

The deburring processes of parts with complex geometries usually present many challenges to be automated. This paper outlines the machine vision techniques involved in the design and set up of an automated adaptive cognitive robotic system for laser deburring of metal casting complex 3D high quality parts. To carry out deburring process operations of the parts autonomously, 3D machine vision techniques have been used for different purposes, explained in this paper. These machine vision algorithms used along with industrial robots and a high tech laser head, make a fully automated deburring process possible. This setup could potentially be applied to medium sized parts of different light casting alloys (Mg, AlZn, etc.). View Full-Text
Keywords: 3D machine vision; complex light casting parts; automated deburring operation 3D machine vision; complex light casting parts; automated deburring operation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Tellaeche, A.; Arana, R. Robust 3D Object Model Reconstruction and Matching for Complex Automated Deburring Operations. J. Imaging 2016, 2, 8.

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