scholarly journals The Corrosion Behavior of 316L Stainless Steel Additively Manufactured by Direct Energy Deposition Process

2021 ◽  
Vol 6 (1) ◽  
pp. 13
Author(s):  
Tomer Ron ◽  
Avi Leon ◽  
Amnon Shirizly ◽  
Eli Aghion

Traditional additive manufacturing (AM) technologies tend to focus on powder bed fusion (PBF) methods, such as SLM (selective laser melting) and EBM (electron beam melting), that are attractive for the rapid production of complex components. However, their inherent drawbacks include the high cost of powders, high energy consumption and size limitation. Hence, more affordable and flexible direct energy deposition processes, such as wire arc additive manufacturing (WAAM), are gaining increased interest. This study aims to evaluate the corrosion behavior, including the stress corrosion resistance of 316L stainless steel, produced by the WAAM process. Experimental samples in the form of cylindrical rods were produced by WAAM process using 316L stainless steel wires and compared with their counterpart AISI 316L alloy. The corrosion resistance was evaluated using potentiodynamic polarization, impedance spectroscopy and slow strain rate testing (SSRT). Despite the differences between the microstructures of printed WAAM 316L alloy and its counterpart AISI 316L, the corrosion performance of both alloys in 3.5% NaCl solution was quite similar.

Materials ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 4392
Author(s):  
Silja-Katharina Rittinghaus ◽  
Janett Schmelzer ◽  
Marcus Willi Rackel ◽  
Susanne Hemes ◽  
Andreas Vogelpoth ◽  
...  

While repair is mainly used to restore the original part geometry and properties, hybrid manufacturing aims to exploit the benefits of each respective manufacturing process regarding either processing itself or resulting part characteristics. Especially with the current implementation of additive manufacturing in the production of TiAl, turbine blades for both hybrid manufacturing and repair new opportunities are enabled. One main issue is the compatibility of the two or more material types involved, which either differ regarding composition or microstructure or both. In this study, a TNMTM-alloy (Ti-Nb-Mo) was manufactured by different processes (casting, forging, laser additive manufacturing) and identically heat-treated at 1290 °C. Chemical compositions, especially aluminum and oxygen contents, were measured, and the resulting microstructures were analyzed with Scanning Electron Microscopy (SEM) and High-energy X-ray diffraction (HEXRD). The properties were determined by hardness measurements and high-temperature compression tests. The comparison led to an overall assessment of the theoretical compatibility. Experiments to combine several processes were performed to evaluate the practical feasibility. Despite obvious differences in the final phase distribution caused by deviations in the chemical composition, the measured properties of the samples did not differ significantly. The feasibility of combining direct energy deposition (DED) with either casting or laser powder bed fusion (LPBF) was demonstrated by the successful build of the dense, crack-free hybrid material.


2019 ◽  
Vol 117 ◽  
pp. 6-17 ◽  
Author(s):  
Wook Jin Oh ◽  
Wook Jin Lee ◽  
Min Seob Kim ◽  
Jong Bae Jeon ◽  
Do Sik Shim

2021 ◽  
Vol 11 (10) ◽  
pp. 4694
Author(s):  
Christian Wacker ◽  
Markus Köhler ◽  
Martin David ◽  
Franziska Aschersleben ◽  
Felix Gabriel ◽  
...  

Wire arc additive manufacturing (WAAM) is a direct energy deposition (DED) process with high deposition rates, but deformation and distortion can occur due to the high energy input and resulting strains. Despite great efforts, the prediction of distortion and resulting geometry in additive manufacturing processes using WAAM remains challenging. In this work, an artificial neural network (ANN) is established to predict welding distortion and geometric accuracy for multilayer WAAM structures. For demonstration purposes, the ANN creation process is presented on a smaller scale for multilayer beads on plate welds on a thin substrate sheet. Multiple concepts for the creation of ANNs and the handling of outliers are developed, implemented, and compared. Good results have been achieved by applying an enhanced ANN using deformation and geometry from the previously deposited layer. With further adaptions to this method, a prediction of additive welded structures, geometries, and shapes in defined segments is conceivable, which would enable a multitude of applications for ANNs in the WAAM-Process, especially for applications closer to industrial use cases. It would be feasible to use them as preparatory measures for multi-segmented structures as well as an application during the welding process to continuously adapt parameters for a higher resulting component quality.


Materials ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 6790
Author(s):  
Viera Zatkalíková ◽  
Juraj Halanda ◽  
Dušan Vaňa ◽  
Milan Uhríčik ◽  
Lenka Markovičová ◽  
...  

Plasma immersion ion implantation (PIII) of nitrogen is low-temperature surface technology which enables the improvement of tribological properties without a deterioration of the corrosion behavior of austenitic stainless steels. In this paper the corrosion properties of PIII-treated AISI 316L stainless steel surfaces are evaluated by electrochemical impedance spectroscopy (EIS), potentiodynamic polarization (PP) and exposure immersion tests (all carried out in the 0.9 wt. % NaCl solution at 37 ± 0.5 °C) and compared with a non-treated surface. Results of the three performed independent corrosion tests consistently confirmed a significant increase in the corrosion resistance after two doses of PIII nitriding.


2022 ◽  
Vol 60 (1) ◽  
pp. 46-52
Author(s):  
Young Woo Seo ◽  
Chan Yang Kim ◽  
Bo Kyung Seo ◽  
Won Sub Chung

This study evaluated changes in delta-ferrite content depending on the preheating of AISI 316L stainless steel. We also determined the reasons for the variation in delta-ferrite content, which affects corrosion resistance. Changes in delta-ferrite content after preheating was confirmed using a Feritscope, and the microstructure was analyzed using optical microscopy (OM). We found that the delta-ferrite microstructure size decreased when preheating time was increased at 1295 oC, and that the delta-ferrite content could be controlled through preheating. Potentiodynamic polarization test were carried out in NaCl (0.5 M) + H2SO4 (0.5 M) solution, and it was found that higher delta-ferrite content resulted in less corrosion potential and passive potential. To determine the cause, an analysis was conducted using energy-dispersive spectroscopy (EDS), which confirmed that higher delta-ferrite content led to weaker corrosion resistance, due to Cr degradation at the delta-ferrite and austenite boundaries. The degradation of Cr on the boundaries between austenite and delta-ferrite can be explained by the difference in the diffusion coefficient of Cr in the ferrite and austenite. A scanning electron microscopy (SEM) analysis of material used for actual semiconductor piping confirmed that corrosion begins at the delta-ferrite and austenite boundaries. These results confirm the need to control delta-ferrite content in AISI 316L stainless steel used for semiconductor piping.


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