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Open AccessArticle

Maintenance of the Austenite/Ferrite Ratio Balance in GTAW DSS Joints Through Process Parameters Optimization

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Corporacion Mexicana de Investigacion en Materiales S.A. de C.V., Ciencia y Tecnologia No. 790, Saltillo 400, 25290 Saltillo, Coahuila, Mexico
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Universidad Autonoma de Coahuila, Facultad de Sistemas, Ciudad Universitaria, Carretera a Mexico Km 13, 25380 Arteaga, Coah., Mexico
*
Author to whom correspondence should be addressed.
Materials 2020, 13(3), 780; https://doi.org/10.3390/ma13030780
Received: 28 December 2019 / Revised: 3 February 2020 / Accepted: 3 February 2020 / Published: 8 February 2020
(This article belongs to the Special Issue Advances in Duplex Stainless Steels)
The present work describes the influence of the parameters employed in the gas tungsten arc welding process (GTAW) when nickel powder is used as a filler metal in 2304/2507 duplex stainless-steel dissimilar joints. Multi-objective optimization was applied in order to maintain the austenite/ferrite percentage in the welded zone. A microstructural and phase quantification analysis was performed in each sample through optical and scanning electron microscopes. It was found that a nickel powder addition combined with low heat input increased the biphasic ratio across the different zones of the dissimilar welded samples. Although the austenite volume fraction increased in the 2304 heat-affected zone (HAZ) near to 25%, it was not sufficient according to international standards. The obtained results led to the maintenance of the 50/50 phase percentage in the 2507 HAZ welded joint side, as well as to the increment of the austenite percentage in the 2304 HAZ. View Full-Text
Keywords: duplex stainless steel; GTAW process; multi-objective optimization; dissimilar joints. duplex stainless steel; GTAW process; multi-objective optimization; dissimilar joints.
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MDPI and ACS Style

Rodriguez, B.R.; Miranda, A.; Gonzalez, D.; Praga, R.; Hurtado, E. Maintenance of the Austenite/Ferrite Ratio Balance in GTAW DSS Joints Through Process Parameters Optimization. Materials 2020, 13, 780.

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