Next Article in Journal
VIIRS Day/Night Band—Correcting Striping and Nonuniformity over a Very Large Dynamic Range
Previous Article in Journal
Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
J. Imaging
Volume 2
Issue 1
10.3390/jimaging2010008
jimaging-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

by
Alberto Tellaeche
* and
Ramón Arana
Smart and Autonomous Systems Unit, IK4-Tekniker, C/Iñaki Goenaga 5, Eibar 20600, Spain
*
Author to whom correspondence should be addressed.
J. Imaging 2016, 2(1), 8; https://doi.org/10.3390/jimaging2010008
Submission received: 2 December 2015 / Revised: 1 February 2016 / Accepted: 4 February 2016 / Published: 16 February 2016
Browse Figures
Versions Notes

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.).
Keywords: 3D machine vision; complex light casting parts; automated deburring operation 3D machine vision; complex light casting parts; automated deburring operation
Graphical Abstract

Share and Cite

MDPI and ACS Style

Tellaeche, A.; Arana, R. Robust 3D Object Model Reconstruction and Matching for Complex Automated Deburring Operations. J. Imaging 2016, 2, 8. https://doi.org/10.3390/jimaging2010008

AMA Style

Tellaeche A, Arana R. Robust 3D Object Model Reconstruction and Matching for Complex Automated Deburring Operations. Journal of Imaging. 2016; 2(1):8. https://doi.org/10.3390/jimaging2010008

Chicago/Turabian Style

Tellaeche, Alberto, and Ramón Arana. 2016. "Robust 3D Object Model Reconstruction and Matching for Complex Automated Deburring Operations" Journal of Imaging 2, no. 1: 8. https://doi.org/10.3390/jimaging2010008

APA Style

Tellaeche, A., & Arana, R. (2016). Robust 3D Object Model Reconstruction and Matching for Complex Automated Deburring Operations. Journal of Imaging, 2(1), 8. https://doi.org/10.3390/jimaging2010008

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop