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Journal of Sensors
Volume 2015 (2015), Article ID 876714, 8 pages
http://dx.doi.org/10.1155/2015/876714
Research Article

Low-Cost Open-Source Voltage and Current Monitor for Gas Metal Arc Weld 3D Printing

1Department of Electrical & Computer Engineering, Michigan Technological University, Houghton, MI 49931, USA
2Department of Materials Science & Engineering, Michigan Technological University, Houghton, MI 49931, USA
3Department of Computer Science, Michigan Technological University, Houghton, MI 49931, USA

Received 24 March 2015; Accepted 22 June 2015

Academic Editor: Christos Riziotis

Copyright © 2015 A. Pinar et al. 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.

Abstract

Arduino open-source microcontrollers are well known in sensor applications for scientific equipment and for controlling RepRap 3D printers. Recently low-cost open-source gas metal arc weld (GMAW) RepRap 3D printers have been developed. The entry-level welders used have minimal controls and therefore lack any real-time measurement of welder voltage or current. The preliminary work on process optimization of GMAW 3D printers requires a low-cost sensor and data logger system to measure welder current and voltage. This paper reports on the development of a low-cost open-source power measurement sensor system based on Arduino architecture. The sensor system was designed, built, and tested with two entry-level MIG welders. The full bill of materials and open source designs are provided. Voltage and current were measured while making stepwise adjustments to the manual voltage setting on the welder. Three conditions were tested while welding with steel and aluminum wire on steel substrates to assess the role of electrode material, shield gas, and welding velocity. The results showed that the open source sensor circuit performed as designed and could be constructed for <$100 in components representing a significant potential value through lateral scaling and replication in the 3D printing community.