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Optimization of Parameters on Robotized Gas Metal Arc Welding of LNE 700 High-Strength Steel

1
Master in Civil Engineering (PPGEC), Department of Civil Engineering, Polytechnic School, Meridional College (IMED), Passo Fundo 99070-220, Rio Grande do Sul, Brazil
2
Department of Mechanical Engineering, Federal University of Santa Maria, Cachoeira do Sul 96506-322, Rio Grande do Sul, Brazil
3
Department of Mechanical Engineering, Horizontina College-FAHOR, Horizontina 98920-000, Rio Grande do Sul, Brazil
4
Metal Forming Laboratory (LdTM), Metallurgical and Materials Engineering (PPGE3M), Post-Graduation Program in Mining, Department of Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 91509-900, Rio Grande do Sul, Brazil
*
Author to whom correspondence should be addressed.
J. Manuf. Mater. Process. 2018, 2(4), 70; https://doi.org/10.3390/jmmp2040070
Received: 22 September 2018 / Revised: 11 October 2018 / Accepted: 12 October 2018 / Published: 16 October 2018
(This article belongs to the Special Issue New Findings and Approaches in Machining Processes)
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Abstract

The main aim of this study is to determine the best process parameters for the robotized Gas Metal Arc Welding (GMAW) of LNE 700 advanced high-strength steel. This article evaluates some quality criteria such as the microhardness, the heat-affected zone (HAZ) and the convexity in the welded joints. The assays are performed using an experimental design, based on the Taguchi method. The analysis of the results identified some factors of greatest influence and how best to combine them to determine an optimum condition for welding LNE 700 high strength steel. Moreover, the influence of welding parameters on quality criteria is determined. View Full-Text
Keywords: high-strength steel; robotized GMAW welding; quality criteria high-strength steel; robotized GMAW welding; quality criteria
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Lermen, R.T.; Dal Molin, A.; Berger, D.R.; Alves, V.D.J.; Lisboa, C.P. Optimization of Parameters on Robotized Gas Metal Arc Welding of LNE 700 High-Strength Steel. J. Manuf. Mater. Process. 2018, 2, 70.

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