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Machines 2015, 3(2), 55-71; doi:10.3390/machines3020055

Initial Work on the Characterization of Additive Manufacturing (3D Printing) Using Software Image Analysis

Department of Computer Science, University of North Dakota, 3950 Campus Road, Stop 9015, Grand Forks, ND 58202, USA
Academic Editor: David Mba
Received: 17 August 2014 / Revised: 2 February 2015 / Accepted: 21 March 2015 / Published: 2 April 2015
(This article belongs to the Special Issue Machinery Diagnostics and Prognostics)
View Full-Text   |   Download PDF [1138 KB, uploaded 2 April 2015]   |  

Abstract

A current challenge in additive manufacturing (commonly known as 3D printing) is the detection of defects. Detection of defects (or the lack thereof) in bespoke industrial manufacturing may be safety critical and reduce or eliminate the need for testing of printed objects. In consumer and prototype printing, early defect detection may facilitate the printer taking corrective measures (or pausing printing and alerting a user), preventing the need to re-print objects after the compounding of a small error occurs. This paper considers one approach to defect detection. It characterizes the efficacy of using a multi-camera system and image processing software to assess printing progress (thus detecting completion failure defects) and quality. The potential applications and extrapolations of this type of a system are also discussed. View Full-Text
Keywords: 3D printer; 3D printing; image analysis; image software; object analysis 3D printer; 3D printing; image analysis; image software; object analysis
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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Straub, J. Initial Work on the Characterization of Additive Manufacturing (3D Printing) Using Software Image Analysis. Machines 2015, 3, 55-71.

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