Heat-Affected Zone Microstructural Study via Coupled Numerical/Physical Simulation in Welded Superduplex Stainless Steels

Author:

da Silva Leonardo Oliveira Passos1,Lima Tiago Nunes2ORCID,Júnior Francisco Magalhães dos Santos1ORCID,Callegari Bruna2,Folle Luís Fernando2,Coelho Rodrigo Santiago12

Affiliation:

1. Programa de Pós-Graduação GETEC/MPDS/MCTI, Centro Universitário SENAI CIMATEC, Av. Orlando Gomes 1845, Salvador 41650-010, Brazil

2. SENAI CIMATEC, Instituto SENAI de Inovação em Conformação e União de Materiais (CIMATEC ISI C&UM), Av. Orlando Gomes 1845, Salvador 41650-010, Brazil

Abstract

Superduplex stainless steels (SDSS) are known for their combination of good mechanical properties and excellent corrosion resistance, enabled by the microstructural balance between austenite and ferrite and an amount of alloying elements. Their application in welded components is, however, limited by the possibility of the precipitation of intermetallic phases and microstructural misbalance, which might hinder their properties, especially in the heat-affected zone (HAZ). This work introduces a methodology that relies simultaneously on physical and numerical simulations to study the HAZ in a UNS S32750 SDSS. Dimensions of the fusion zone and thermal cycles were calibrated for a numerical model using preliminary welding trials. Numerically simulated cycles for each heat input (HI) were physically reproduced in a Gleeble® simulator, and the heat-treated samples were characterized and compared with real specimens welded using the same parameters. Thermal curves resulting from the numerical simulations were successfully replicated by the Gleeble®, indicating adequate application of the desired HI. The hardness and microstructural results from simulated and welded specimens were also found to be quite similar. Therefore, the proposed methodology showed itself adequate not only for the study of duplex stainless steels, but also of materials with similar thermal and mechanical properties, including the extrapolation of welding parameters.

Funder

ANP/PETROBRAS program

Publisher

MDPI AG

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